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  1. Taal_273070_20200112_scenario_yizhou.zip +3 -0
  2. app.py +33 -633
  3. ash_animator/__init__.py +0 -37
  4. ash_animator/__pycache__/animation_single.cpython-312.pyc +0 -0
  5. ash_animator/__pycache__/animation_vertical.cpython-312.pyc +0 -0
  6. ash_animator/__pycache__/basemaps.cpython-312.pyc +0 -0
  7. ash_animator/__pycache__/converter.cpython-312.pyc +0 -0
  8. ash_animator/__pycache__/export.cpython-312.pyc +0 -0
  9. ash_animator/__pycache__/interpolation.cpython-312.pyc +0 -0
  10. ash_animator/__pycache__/plot_3dfield_data.cpython-312.pyc +0 -0
  11. ash_animator/__pycache__/plot_horizontal_data.cpython-312.pyc +0 -0
  12. ash_animator/__pycache__/utils.cpython-312.pyc +0 -0
  13. ash_animator/basemaps.py +90 -55
  14. ash_animator/converter.py +147 -12
  15. ash_animator/plot_3dfield_data.py +2 -9
  16. ash_animator/plot_horizontal_data.py +3 -11
  17. ash_output/3D/T1.nc +3 -0
  18. ash_output/3D/T10.nc +3 -0
  19. ash_output/3D/T2.nc +3 -0
  20. ash_output/3D/T3.nc +3 -0
  21. ash_output/3D/T4.nc +3 -0
  22. ash_output/3D/T5.nc +3 -0
  23. ash_output/3D/T6.nc +3 -0
  24. ash_output/3D/T7.nc +3 -0
  25. ash_output/3D/T8.nc +3 -0
  26. ash_output/3D/T9.nc +3 -0
  27. ash_output/horizontal/AQOutput_HorizontalField_C1_T10_202001121400.nc +3 -0
  28. ash_output/horizontal/AQOutput_HorizontalField_C1_T1_202001120500.nc +3 -0
  29. ash_output/horizontal/AQOutput_HorizontalField_C1_T2_202001120600.nc +3 -0
  30. ash_output/horizontal/AQOutput_HorizontalField_C1_T3_202001120700.nc +3 -0
  31. ash_output/horizontal/AQOutput_HorizontalField_C1_T4_202001120800.nc +3 -0
  32. ash_output/horizontal/AQOutput_HorizontalField_C1_T5_202001120900.nc +3 -0
  33. ash_output/horizontal/AQOutput_HorizontalField_C1_T6_202001121000.nc +3 -0
  34. ash_output/horizontal/AQOutput_HorizontalField_C1_T7_202001121100.nc +3 -0
  35. ash_output/horizontal/AQOutput_HorizontalField_C1_T8_202001121200.nc +3 -0
  36. ash_output/horizontal/AQOutput_HorizontalField_C1_T9_202001121300.nc +3 -0
  37. unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z1.txt +97 -0
  38. unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z10.txt +37 -0
  39. unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z11.txt +37 -0
  40. unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z12.txt +37 -0
  41. unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z2.txt +112 -0
  42. unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z3.txt +98 -0
  43. unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z4.txt +120 -0
  44. unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z5.txt +129 -0
  45. unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z6.txt +194 -0
  46. unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z7.txt +297 -0
  47. unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z8.txt +208 -0
  48. unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z9.txt +39 -0
  49. unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T1_202001120500_Z1.txt +37 -0
  50. unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T1_202001120500_Z10.txt +37 -0
Taal_273070_20200112_scenario_yizhou.zip ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9bb340a75132c3008a149557ff85f8bc05b4a46e70eee027503e30b9573fdd39
3
+ size 181349
app.py CHANGED
@@ -1,46 +1,4 @@
1
-
2
  import os
3
- import tempfile
4
-
5
- def get_writable_dir(name, subfolder=None):
6
- """
7
- Tries multiple locations and returns the first writable path.
8
- If all fail, returns None.
9
- """
10
- candidates = [
11
- os.path.join("/code", name),
12
- os.path.join(tempfile.gettempdir(), name)
13
- ]
14
- for path in candidates:
15
- if subfolder:
16
- path = os.path.join(path, subfolder)
17
- try:
18
- os.makedirs(path, exist_ok=True)
19
- return path
20
- except PermissionError:
21
- continue
22
- return None
23
-
24
- # Try to assign a safe cache root
25
- CACHE_ROOT = get_writable_dir("my_app_cache") or tempfile.gettempdir()
26
-
27
- # Apply safe directories for matplotlib and others
28
- matplotlib_dir = get_writable_dir("my_app_cache", "matplotlib")
29
- if matplotlib_dir:
30
- os.environ["MPLCONFIGDIR"] = matplotlib_dir
31
-
32
- cartopy_dir = get_writable_dir("my_app_cache", "cartopy")
33
- if cartopy_dir:
34
- os.environ["CARTOPY_CACHE_DIR"] = cartopy_dir
35
- os.environ["CARTOPY_USER_BACKGROUNDS"] = cartopy_dir
36
-
37
- xdg_cache = get_writable_dir("my_app_cache", "contextily")
38
- if xdg_cache:
39
- os.environ["XDG_CACHE_HOME"] = xdg_cache
40
-
41
-
42
-
43
-
44
  import glob
45
  import shutil
46
  import io
@@ -56,12 +14,9 @@ from ash_animator.plot_3dfield_data import Plot_3DField_Data
56
  from ash_animator.plot_horizontal_data import Plot_Horizontal_Data
57
  from ash_animator import create_grid
58
 
59
-
60
  pn.extension()
61
 
62
- import tempfile
63
-
64
- MEDIA_DIR = os.environ.get("NAME_MEDIA_DIR", os.path.join(tempfile.gettempdir(), "name_media"))
65
  os.makedirs(MEDIA_DIR, exist_ok=True)
66
 
67
  # Logging setup
@@ -114,20 +69,12 @@ def process_zip(event=None):
114
  status.object = "✅ ZIP uploaded and saved."
115
  else:
116
  zip_path = os.path.join(MEDIA_DIR, "default_model.zip")
117
- if not os.path.exists(zip_path):
118
- zip_path = "default_model.zip" # fallback to local directory
119
  if not os.path.exists(zip_path):
120
  status.object = "❌ No ZIP uploaded and default_model.zip not found."
121
  return
122
  status.object = "📦 Using default_model.zip"
123
 
124
-
125
- try:
126
- output_dir = os.path.join("./", "ash_output")
127
- os.makedirs(output_dir, exist_ok=True)
128
- except PermissionError:
129
- output_dir = os.path.join(tempfile.gettempdir(), "name_output")
130
- os.makedirs(output_dir, exist_ok=True)
131
  shutil.rmtree(output_dir, ignore_errors=True)
132
  os.makedirs(output_dir, exist_ok=True)
133
 
@@ -138,10 +85,6 @@ def process_zip(event=None):
138
  # animator_obj["3d"] = [xr.open_dataset(fp).load()
139
  # for fp in sorted(glob.glob(os.path.join(output_dir, "3D", "*.nc")))]
140
 
141
- # animator_obj["3d"] = []
142
- # for fp in sorted(glob.glob(os.path.join(output_dir, "3D", "*.nc"))):
143
- # with xr.open_dataset(fp) as ds:
144
- # animator_obj["3d"].append(ds.load())
145
  animator_obj["3d"] = []
146
  for fp in sorted(glob.glob(os.path.join(output_dir, "3D", "*.nc"))):
147
  with xr.open_dataset(fp) as ds:
@@ -182,12 +125,7 @@ def restore_previous_session():
182
  with open(state_file) as f:
183
  zip_path = f.read().strip()
184
  if os.path.exists(zip_path):
185
- try:
186
- output_dir = os.path.join("./", "ash_output")
187
- os.makedirs(output_dir, exist_ok=True)
188
- except PermissionError:
189
- output_dir = os.path.join(tempfile.gettempdir(), "name_output")
190
- os.makedirs(output_dir, exist_ok=True)
191
 
192
  animator_obj["3d"] = []
193
  for fp in sorted(glob.glob(os.path.join(output_dir, "3D", "*.nc"))):
@@ -311,99 +249,35 @@ def human_readable_size(size):
311
  size /= 1024
312
  return f"{size:.1f} TB"
313
 
314
- # def generate_output_gallery(base_folder):
315
- # grouped = defaultdict(lambda: defaultdict(list))
316
- # for root, _, files in os.walk(os.path.join(MEDIA_DIR, base_folder)):
317
- # for file in files:
318
- # ext = os.path.splitext(file)[1].lower()
319
- # subfolder = os.path.relpath(root, MEDIA_DIR)
320
- # grouped[subfolder][ext].append(os.path.join(root, file))
321
-
322
- # folder_tabs = []
323
- # for subfolder, ext_files in sorted(grouped.items()):
324
- # type_tabs = []
325
- # for ext, paths in sorted(ext_files.items()):
326
- # previews = []
327
- # for path in sorted(paths, key=os.path.getmtime, reverse=True):
328
- # size = human_readable_size(os.path.getsize(path))
329
- # mod = datetime.fromtimestamp(os.path.getmtime(path)).strftime("%Y-%m-%d %H:%M")
330
- # title = f"**{os.path.basename(path)}**\\n_{size}, {mod}_"
331
- # download = pn.widgets.FileDownload(label="⬇", file=path, filename=os.path.basename(path), width=60)
332
- # if ext in [".gif", ".png", ".jpg", ".jpeg"]:
333
- # preview = pn.pane.Image(path, width=320)
334
- # else:
335
- # with open(path, "r", errors="ignore") as f:
336
- # content = f.read(2048)
337
- # preview = pn.pane.PreText(content, width=320)
338
- # card = pn.Card(pn.pane.Markdown(title), preview, pn.Row(download), width=360)
339
- # previews.append(card)
340
- # type_tabs.append((ext.upper(), pn.GridBox(*previews, ncols=2)))
341
- # folder_tabs.append((subfolder, pn.Tabs(*type_tabs)))
342
- # return pn.Tabs(*folder_tabs)
343
-
344
-
345
  def generate_output_gallery(base_folder):
346
- preview_container = pn.Column(width=640, height=550)
347
- preview_container.append(pn.pane.Markdown("👈 Click a thumbnail to preview"))
348
- folder_cards = []
349
-
350
- def make_preview(file_path):
351
- ext = os.path.splitext(file_path)[1].lower()
352
- title = pn.pane.Markdown(f"### {os.path.basename(file_path)}")
353
- download_button = pn.widgets.FileDownload(file=file_path, filename=os.path.basename(file_path),
354
- label="⬇ Download", button_type="success", width=150)
355
-
356
- if ext in [".gif", ".png", ".jpg", ".jpeg"]:
357
- content = pn.pane.Image(file_path, width=640, height=450, sizing_mode="fixed")
358
- else:
359
- try:
360
- with open(file_path, 'r', errors="ignore") as f:
361
- text = f.read(2048)
362
- content = pn.pane.PreText(text, width=640, height=450)
363
- except:
364
- content = pn.pane.Markdown("*Unable to preview this file.*")
365
-
366
- return pn.Column(title, content, download_button)
367
-
368
- grouped = defaultdict(list)
369
  for root, _, files in os.walk(os.path.join(MEDIA_DIR, base_folder)):
370
- for file in sorted(files):
371
- full_path = os.path.join(root, file)
372
- if not os.path.exists(full_path):
373
- continue
374
- rel_folder = os.path.relpath(root, os.path.join(MEDIA_DIR, base_folder))
375
- grouped[rel_folder].append(full_path)
376
-
377
- for folder, file_paths in sorted(grouped.items()):
378
- thumbnails = []
379
- for full_path in file_paths:
380
- filename = os.path.basename(full_path)
381
- ext = os.path.splitext(full_path)[1].lower()
382
-
383
- if ext in [".gif", ".png", ".jpg", ".jpeg"]:
384
- img = pn.pane.Image(full_path, width=140, height=100)
385
- else:
386
- img = pn.pane.Markdown("📄", width=140, height=100)
387
-
388
- view_button = pn.widgets.Button(name="👁", width=40, height=30, button_type="primary")
389
-
390
- def click_handler(path=full_path):
391
- def inner_click(event):
392
- preview_container[:] = [make_preview(path)]
393
- return inner_click
394
-
395
- view_button.on_click(click_handler())
396
-
397
- overlay = pn.Column(pn.Row(pn.Spacer(width=90), view_button), img, width=160)
398
- label_md = pn.pane.Markdown(f"**{filename}**", width=140, height=35)
399
- thumb_card = pn.Column(overlay, label_md, width=160)
400
- thumbnails.append(thumb_card)
401
-
402
- folder_card = pn.Card(pn.GridBox(*thumbnails, ncols=2), title=f"📁 {folder}", width=400, collapsible=True)
403
- folder_cards.append(folder_card)
404
-
405
- folder_scroll = pn.Column(*folder_cards, scroll=True, height=600, width=420)
406
- return pn.Row(preview_container, pn.Spacer(width=20), folder_scroll)
407
 
408
  def update_media_tabs():
409
  media_tab_2d.objects[:] = [generate_output_gallery("2D")]
@@ -417,7 +291,6 @@ media_tab = pn.Tabs(
417
  ("3D Outputs", media_tab_3d)
418
  )
419
 
420
-
421
  tab3d = pn.Column(
422
  threshold_slider_3d, zoom_slider_3d, fps_slider_3d, Altitude_slider, cmap_select_3d,
423
  pn.widgets.Button(name="🎞 Generate animation at selected altitude level", button_type="primary", on_click=lambda e: tab3d.append(plot_z_level())),
@@ -433,485 +306,13 @@ tab2d = pn.Column(
433
  pn.widgets.Button(name="💧 Animate Wet Deposition Rate", button_type="primary", on_click=lambda e: tab2d.append(plot_2d_field("wet_deposition_rate"))),
434
  )
435
 
436
- help_tab = pn.Column(pn.pane.Markdown("""
437
- ## ❓ How to Use the NAME Ash Visualizer
438
-
439
- This dashboard allows users to upload and visualize outputs from the NAME ash dispersion model.
440
-
441
- ### 🧭 Workflow
442
- 1. **Upload ZIP** containing NetCDF files from the NAME model.
443
- 2. Use **3D and 2D tabs** to configure and generate animations.
444
- 3. Use **Media Viewer** to preview and download results.
445
-
446
- ### 🧳 ZIP Structure
447
- ```
448
- ## 🗂 How Uploaded ZIP is Processed
449
-
450
- ```text
451
- ┌────────────────────────────────────────────┐
452
- │ Uploaded ZIP (.zip) │
453
- │ (e.g. Taal_273070_20200112_scenario_*.zip)│
454
- └────────────────────────────────────────────┘
455
-
456
-
457
- ┌───────────────────────────────┐
458
- │ Contains: raw .txt outputs │
459
- │ - AQOutput_3DField_*.txt │
460
- │ - AQOutput_horizontal_*.txt │
461
- └───────────────────────────────┘
462
-
463
-
464
- ┌────────────────────────────────────────┐
465
- │ NAMEDataProcessor.batch_process_zip()│
466
- └────────────────────────────────────────┘
467
-
468
-
469
- ┌─────────────────────────────┐
470
- │ Converts to NetCDF files │
471
- │ - ash_output/3D/*.nc │
472
- │ - ash_output/horizontal/*.nc │
473
- └─────────────────────────────┘
474
-
475
-
476
- ┌─────────────────────────────────────┐
477
- │ View & animate in 3D/2D tabs │
478
- │ Download results in Media Viewer │
479
- └─────────────────────────────────────┘
480
-
481
- ```
482
-
483
- ### 📢 Tips
484
- - Reset the app with 🔄 if needed.
485
- - View logs if an error occurs.
486
- - Outputs are temporary per session.
487
- """, sizing_mode="stretch_width"))
488
-
489
  tabs = pn.Tabs(
490
  ("🧱 3D Field", tab3d),
491
  ("🌍 2D Field", tab2d),
492
- ("📁 Media Viewer", media_tab),
493
- ("❓ Help", help_tab)
494
- )
495
-
496
- sidebar = pn.Column(
497
- pn.pane.Markdown("## 🌋 NAME Ash Visualizer", sizing_mode="stretch_width"),
498
- pn.Card(pn.Column(file_input, process_button, reset_button, sizing_mode="stretch_width"),
499
- title="📂 File Upload & Processing", collapsible=True, sizing_mode="stretch_width"),
500
- pn.Card(pn.Column(download_button, log_link, sizing_mode="stretch_width"),
501
- title="📁 Downloads & Logs", collapsible=True, sizing_mode="stretch_width"),
502
- pn.Card(status, title="📢 Status", collapsible=True, sizing_mode="stretch_width"),
503
- sizing_mode="stretch_width")
504
-
505
- restore_previous_session()
506
-
507
- pn.template.FastListTemplate(
508
- title="NAME Visualizer Dashboard",
509
- sidebar=sidebar,
510
- main=[tabs],
511
- ).servable()
512
-
513
- '''
514
- import os
515
- import glob
516
- import shutil
517
- import io
518
- import logging
519
- import panel as pn
520
- import xarray as xr
521
- import numpy as np
522
- from datetime import datetime
523
- from types import SimpleNamespace
524
- from collections import defaultdict
525
- from ash_animator.converter import NAMEDataProcessor
526
- from ash_animator.plot_3dfield_data import Plot_3DField_Data
527
- from ash_animator.plot_horizontal_data import Plot_Horizontal_Data
528
- from ash_animator import create_grid
529
- import tempfile
530
-
531
- pn.extension()
532
-
533
- MEDIA_DIR = os.environ.get("NAME_MEDIA_DIR", os.path.join(tempfile.gettempdir(), "name_media"))
534
- os.makedirs(MEDIA_DIR, exist_ok=True)
535
-
536
- LOG_FILE = os.path.join(MEDIA_DIR, "app_errors.log")
537
- logging.basicConfig(filename=LOG_FILE, level=logging.ERROR, format="%(asctime)s - %(levelname)s - %(message)s")
538
-
539
- animator_obj = {}
540
-
541
- file_input = pn.widgets.FileInput(accept=".zip")
542
- process_button = pn.widgets.Button(name="📦 Process ZIP", button_type="primary")
543
- reset_button = pn.widgets.Button(name="🔄 Reset App", button_type="danger")
544
- status = pn.pane.Markdown("### Upload a NAME Model ZIP to begin")
545
-
546
- download_button = pn.widgets.FileDownload(
547
- label="⬇️ Download All Exports", filename="all_exports.zip", button_type="success",
548
- callback=lambda: io.BytesIO(open(shutil.make_archive(os.path.join(MEDIA_DIR, "all_exports").replace(".zip", ""), "zip", MEDIA_DIR), 'rb').read())
549
  )
550
 
551
- log_link = pn.widgets.FileDownload(label="🪵 View Error Log", file=LOG_FILE, filename="app_errors.log", button_type="warning")
552
-
553
- threshold_slider_3d = pn.widgets.FloatSlider(name='3D Threshold', start=0.0, end=1.0, step=0.05, value=0.1)
554
- zoom_slider_3d = pn.widgets.IntSlider(name='3D Zoom Level', start=1, end=20, value=19)
555
- cmap_select_3d = pn.widgets.Select(name='3D Colormap', options=["rainbow", "viridis", "plasma"])
556
- fps_slider_3d = pn.widgets.IntSlider(name='3D FPS', start=1, end=10, value=2)
557
- Altitude_slider = pn.widgets.IntSlider(name='Define Ash Altitude', start=1, end=15, value=1)
558
-
559
- threshold_slider_2d = pn.widgets.FloatSlider(name='2D Threshold', start=0.0, end=1.0, step=0.01, value=0.005)
560
- zoom_slider_2d = pn.widgets.IntSlider(name='2D Zoom Level', start=1, end=20, value=19)
561
- fps_slider_2d = pn.widgets.IntSlider(name='2D FPS', start=1, end=10, value=2)
562
- cmap_select_2d = pn.widgets.Select(name='2D Colormap', options=["rainbow", "viridis", "plasma"])
563
-
564
- def process_zip(event=None):
565
- if file_input.value:
566
- zip_path = os.path.join(MEDIA_DIR, file_input.filename)
567
- with open(zip_path, "wb") as f:
568
- f.write(file_input.value)
569
- status.object = "✅ ZIP uploaded and saved."
570
- else:
571
- zip_path = os.path.join(MEDIA_DIR, "default_model.zip")
572
- if not os.path.exists(zip_path):
573
- zip_path = "default_model.zip"
574
- if not os.path.exists(zip_path):
575
- status.object = "❌ No ZIP uploaded and default_model.zip not found."
576
- return
577
- status.object = "📦 Using default_model.zip"
578
-
579
- try:
580
- output_dir = os.path.join("./", "ash_output")
581
- os.makedirs(output_dir, exist_ok=True)
582
- except PermissionError:
583
- output_dir = os.path.join(tempfile.gettempdir(), "name_output")
584
- os.makedirs(output_dir, exist_ok=True)
585
- shutil.rmtree(output_dir, ignore_errors=True)
586
- os.makedirs(output_dir, exist_ok=True)
587
-
588
- try:
589
- processor = NAMEDataProcessor(output_root=output_dir)
590
- processor.batch_process_zip(zip_path)
591
-
592
- animator_obj["3d"] = [xr.open_dataset(fp).load() for fp in sorted(glob.glob(os.path.join(output_dir, "3D", "*.nc")))]
593
- animator_obj["2d"] = [xr.open_dataset(fp).load() for fp in sorted(glob.glob(os.path.join(output_dir, "horizontal", "*.nc")))]
594
-
595
- with open(os.path.join(MEDIA_DIR, "last_run.txt"), "w") as f:
596
- f.write(zip_path)
597
-
598
- status.object += f" | ✅ Loaded 3D: {len(animator_obj['3d'])} & 2D: {len(animator_obj['2d'])}"
599
- update_media_tabs()
600
- except Exception as e:
601
- logging.exception("Error during ZIP processing")
602
- status.object = f"❌ Processing failed: {e}"
603
-
604
- def reset_app(event=None):
605
- animator_obj.clear()
606
- file_input.value = None
607
- status.object = "🔄 App has been reset."
608
- for folder in ["ash_output", "2D", "3D"]:
609
- shutil.rmtree(os.path.join(MEDIA_DIR, folder), ignore_errors=True)
610
- if os.path.exists(os.path.join(MEDIA_DIR, "last_run.txt")):
611
- os.remove(os.path.join(MEDIA_DIR, "last_run.txt"))
612
- update_media_tabs()
613
-
614
- def restore_previous_session():
615
- try:
616
- state_file = os.path.join(MEDIA_DIR, "last_run.txt")
617
- if os.path.exists(state_file):
618
- with open(state_file) as f:
619
- zip_path = f.read().strip()
620
- if os.path.exists(zip_path):
621
- output_dir = os.path.join("./", "ash_output")
622
- os.makedirs(output_dir, exist_ok=True)
623
- animator_obj["3d"] = [xr.open_dataset(fp).load() for fp in sorted(glob.glob(os.path.join(output_dir, "3D", "*.nc")))]
624
- animator_obj["2d"] = [xr.open_dataset(fp).load() for fp in sorted(glob.glob(os.path.join(output_dir, "horizontal", "*.nc")))]
625
- status.object = f"🔁 Restored previous session from {os.path.basename(zip_path)}"
626
- update_media_tabs()
627
- except Exception as e:
628
- logging.exception("Error restoring previous session")
629
- status.object = f"⚠️ Could not restore previous session: {e}"
630
-
631
- process_button.on_click(process_zip)
632
- reset_button.on_click(reset_app)
633
-
634
- def build_animator_3d():
635
- ds = animator_obj["3d"]
636
- attrs = ds[0].attrs
637
- lons, lats, grid = create_grid(attrs)
638
- return SimpleNamespace(datasets=ds, levels=ds[0].altitude.values, lons=lons, lats=lats,
639
- lon_grid=grid[0], lat_grid=grid[1])
640
-
641
- def build_animator_2d():
642
- ds = animator_obj["2d"]
643
- lat_grid, lon_grid = xr.broadcast(ds[0]["latitude"], ds[0]["longitude"])
644
- return SimpleNamespace(datasets=ds, lats=ds[0]["latitude"].values,
645
- lons=ds[0]["longitude"].values,
646
- lat_grid=lat_grid.values, lon_grid=lon_grid.values)
647
-
648
- def plot_z_level():
649
- try:
650
- animator = build_animator_3d()
651
- out = os.path.join(MEDIA_DIR, "3D")
652
- os.makedirs(out, exist_ok=True)
653
- Plot_3DField_Data(animator, out, cmap_select_3d.value, threshold_slider_3d.value,
654
- zoom_slider_3d.value, fps_slider_3d.value).plot_single_z_level(
655
- Altitude_slider.value, f"ash_altitude{Altitude_slider.value}km_runTimes.gif")
656
- update_media_tabs()
657
- status.object = "✅ Z-Level animation created."
658
- except Exception as e:
659
- logging.exception("Error in plot_z_level")
660
- status.object = f"❌ Error in Z-Level animation: {e}"
661
-
662
- def plot_vertical_profile():
663
- try:
664
- animator = build_animator_3d()
665
- out = os.path.join(MEDIA_DIR, "3D")
666
- os.makedirs(out, exist_ok=True)
667
- Plot_3DField_Data(animator, out, cmap_select_3d.value, fps_slider_3d.value,
668
- threshold_slider_3d.value, zoom_level=zoom_slider_3d.value).plot_vertical_profile_at_time(
669
- Altitude_slider.value - 1, f"T{Altitude_slider.value - 1}_profile.gif")
670
- update_media_tabs()
671
- status.object = "✅ Vertical profile animation created."
672
- except Exception as e:
673
- logging.exception("Error in plot_vertical_profile")
674
- status.object = f"❌ Error in vertical profile animation: {e}"
675
-
676
- def animate_all_altitude_profiles():
677
- try:
678
- animator = build_animator_3d()
679
- out = os.path.join(MEDIA_DIR, "3D")
680
- Plot_3DField_Data(animator, out, cmap_select_3d.value, threshold_slider_3d.value,
681
- zoom_slider_3d.value).animate_all_altitude_profiles()
682
- update_media_tabs()
683
- status.object = "✅ All altitude profile animations created."
684
- except Exception as e:
685
- logging.exception("Error in animate_all_altitude_profiles")
686
- status.object = f"❌ Error animating all altitude profiles: {e}"
687
-
688
- def export_jpg_frames():
689
- try:
690
- animator = build_animator_3d()
691
- out = os.path.join(MEDIA_DIR, "3D")
692
- Plot_3DField_Data(animator, out, cmap_select_3d.value, threshold_slider_3d.value,
693
- zoom_slider_3d.value).export_frames_as_jpgs(include_metadata=True)
694
- update_media_tabs()
695
- status.object = "✅ JPG frames exported."
696
- except Exception as e:
697
- logging.exception("Error exporting JPG frames")
698
- status.object = f"❌ Error exporting JPG frames: {e}"
699
-
700
- def plot_2d_field(field):
701
- try:
702
- animator = build_animator_2d()
703
- out = os.path.join(MEDIA_DIR, "2D")
704
- Plot_Horizontal_Data(animator, out, cmap_select_2d.value, fps_slider_2d.value,
705
- include_metadata=True, threshold=threshold_slider_2d.value,
706
- zoom_width_deg=6.0, zoom_height_deg=6.0,
707
- zoom_level=zoom_slider_2d.value,
708
- static_frame_export=True).plot_single_field_over_time(field, f"{field}.gif")
709
- update_media_tabs()
710
- status.object = f"✅ 2D field `{field}` animation created."
711
- except Exception as e:
712
- logging.exception(f"Error in plot_2d_field: {field}")
713
- status.object = f"❌ Error in 2D field `{field}` animation: {e}"
714
-
715
- def human_readable_size(size):
716
- for unit in ['B', 'KB', 'MB', 'GB']:
717
- if size < 1024: return f"{size:.1f} {unit}"
718
- size /= 1024
719
- return f"{size:.1f} TB"
720
-
721
- # def generate_output_gallery(base_folder):
722
- # grouped = defaultdict(lambda: defaultdict(list))
723
- # for root, _, files in os.walk(os.path.join(MEDIA_DIR, base_folder)):
724
- # for file in files:
725
- # ext = os.path.splitext(file)[1].lower()
726
- # subfolder = os.path.relpath(root, MEDIA_DIR)
727
- # grouped[subfolder][ext].append(os.path.join(root, file))
728
-
729
- # folder_panels = []
730
- # for subfolder, ext_files in sorted(grouped.items()):
731
- # section = []
732
- # for ext, paths in sorted(ext_files.items()):
733
- # previews = []
734
- # for path in sorted(paths, key=os.path.getmtime, reverse=True):
735
- # size = human_readable_size(os.path.getsize(path))
736
- # mod = datetime.fromtimestamp(os.path.getmtime(path)).strftime("%Y-%m-%d %H:%M")
737
- # title = f"**{os.path.basename(path)}**\n_{size}, {mod}_"
738
- # download = pn.widgets.FileDownload(label="⬇", file=path, filename=os.path.basename(path), width=60)
739
- # if ext in [".gif", ".png", ".jpg", ".jpeg"]:
740
- # preview = pn.pane.Image(path, width=320)
741
- # else:
742
- # with open(path, "r", errors="ignore") as f:
743
- # content = f.read(2048)
744
- # preview = pn.pane.PreText(content, width=320)
745
- # card = pn.Card(pn.pane.Markdown(title), preview, pn.Row(download), width=360)
746
- # previews.append(card)
747
- # section.append(pn.Column(f"### {ext.upper()}", pn.GridBox(*previews, ncols=2)))
748
- # folder_section = pn.Card(f"📁 {subfolder}", *section, collapsible=True, width_policy="max")
749
- # folder_panels.append(folder_section)
750
-
751
- # return pn.Column(*folder_panels, height=600, scroll=True, sizing_mode='stretch_width', styles={'overflow': 'auto'})
752
-
753
-
754
-
755
- def generate_output_gallery(base_folder):
756
- preview_container = pn.Column(width=640, height=550)
757
- preview_container.append(pn.pane.Markdown("👈 Click a thumbnail to preview"))
758
- folder_cards = []
759
-
760
- def make_preview(file_path):
761
- ext = os.path.splitext(file_path)[1].lower()
762
- title = pn.pane.Markdown(f"### {os.path.basename(file_path)}", width=640)
763
- download_button = pn.widgets.FileDownload(file=file_path, filename=os.path.basename(file_path),
764
- label="⬇ Download", button_type="success", width=150)
765
-
766
- if ext in [".gif", ".png", ".jpg", ".jpeg"]:
767
- content = pn.pane.Image(file_path, width=640, height=450, sizing_mode="fixed")
768
- else:
769
- try:
770
- with open(file_path, 'r', errors="ignore") as f:
771
- text = f.read(2048)
772
- content = pn.pane.PreText(text, width=640, height=450)
773
- except:
774
- content = pn.pane.Markdown("*Unable to preview this file.*")
775
-
776
- return pn.Column(title, content, download_button)
777
-
778
- grouped = defaultdict(list)
779
- for root, _, files in os.walk(os.path.join(MEDIA_DIR, base_folder)):
780
- for file in sorted(files):
781
- full_path = os.path.join(root, file)
782
- if not os.path.exists(full_path):
783
- continue
784
- rel_folder = os.path.relpath(root, os.path.join(MEDIA_DIR, base_folder))
785
- grouped[rel_folder].append(full_path)
786
-
787
- for folder, file_paths in sorted(grouped.items()):
788
- thumbnails = []
789
- for full_path in file_paths:
790
- filename = os.path.basename(full_path)
791
- ext = os.path.splitext(full_path)[1].lower()
792
-
793
- if ext in [".gif", ".png", ".jpg", ".jpeg"]:
794
- img = pn.pane.Image(full_path, width=140, height=100)
795
- else:
796
- img = pn.pane.Markdown("📄", width=140, height=100)
797
-
798
- view_button = pn.widgets.Button(name="👁", width=40, height=30, button_type="primary")
799
-
800
- def click_handler(path=full_path):
801
- def inner_click(event):
802
- preview_container[:] = [make_preview(path)]
803
- return inner_click
804
-
805
- view_button.on_click(click_handler())
806
-
807
- overlay = pn.Column(pn.Row(pn.Spacer(width=90), view_button), img, width=160)
808
- label_md = pn.pane.Markdown(f"**{filename}**", width=140, height=35)
809
- thumb_card = pn.Column(overlay, label_md, width=160)
810
- thumbnails.append(thumb_card)
811
-
812
- folder_card = pn.Card(pn.GridBox(*thumbnails, ncols=2), title=f"📁 {folder}", width=400, collapsible=True)
813
- folder_cards.append(folder_card)
814
-
815
- folder_scroll = pn.Column(*folder_cards, scroll=True, height=600, width=420)
816
- return pn.Row(preview_container, pn.Spacer(width=20), folder_scroll)
817
-
818
- def update_media_tabs():
819
- media_tab_2d.objects[:] = [generate_output_gallery("2D")]
820
- media_tab_3d.objects[:] = [generate_output_gallery("3D")]
821
-
822
- media_tab_2d = pn.Column(generate_output_gallery("2D"))
823
- media_tab_3d = pn.Column(generate_output_gallery("3D"))
824
-
825
- media_tab = pn.Tabs(
826
- ("🖼 2D Output Gallery", media_tab_2d),
827
- ("🖼 3D Output Gallery", media_tab_3d),
828
- dynamic=True
829
- )
830
-
831
- tab3d = pn.Column(
832
- threshold_slider_3d, zoom_slider_3d, fps_slider_3d, Altitude_slider, cmap_select_3d,
833
- pn.widgets.Button(name="🎞 Generate animation at selected altitude level", button_type="primary", on_click=lambda e: tab3d.append(plot_z_level())),
834
- pn.widgets.Button(name="📈 Generate vertical profile animation at time index", button_type="primary", on_click=lambda e: tab3d.append(plot_vertical_profile())),
835
- pn.widgets.Button(name="📊 Generate all altitude level animations", button_type="primary", on_click=lambda e: tab3d.append(animate_all_altitude_profiles())),
836
- pn.widgets.Button(name="🖼 Export all animation frames as JPG", button_type="primary", on_click=lambda e: tab3d.append(export_jpg_frames())),
837
- )
838
-
839
- tab2d = pn.Column(
840
- threshold_slider_2d, zoom_slider_2d, fps_slider_2d, cmap_select_2d,
841
- pn.widgets.Button(name="🌫 Animate Air Concentration", button_type="primary", on_click=lambda e: tab2d.append(plot_2d_field("air_concentration"))),
842
- pn.widgets.Button(name="🌧 Animate Dry Deposition Rate", button_type="primary", on_click=lambda e: tab2d.append(plot_2d_field("dry_deposition_rate"))),
843
- pn.widgets.Button(name="💧 Animate Wet Deposition Rate", button_type="primary", on_click=lambda e: tab2d.append(plot_2d_field("wet_deposition_rate"))),
844
- )
845
-
846
- help_tab = pn.Column(pn.pane.Markdown("""
847
- ## ❓ How to Use the NAME Ash Visualizer
848
-
849
- This dashboard allows users to upload and visualize outputs from the NAME ash dispersion model.
850
-
851
- ### 🧭 Workflow
852
- 1. **Upload ZIP** containing NetCDF files from the NAME model.
853
- 2. Use **3D and 2D tabs** to configure and generate animations.
854
- 3. Use **Media Viewer** to preview and download results.
855
-
856
- ### 🧳 ZIP Structure
857
- ```
858
- ## 🗂 How Uploaded ZIP is Processed
859
-
860
- ```text
861
- ┌────────────────────────────────────────────┐
862
- │ Uploaded ZIP (.zip) │
863
- │ (e.g. Taal_273070_20200112_scenario_*.zip)│
864
- └────────────────────────────────────────────┘
865
-
866
-
867
- ┌───────────────────────────────┐
868
- │ Contains: raw .txt outputs │
869
- │ - AQOutput_3DField_*.txt │
870
- │ - AQOutput_horizontal_*.txt │
871
- └───────────────────────────────┘
872
-
873
-
874
- ┌────────────────────────────────────────┐
875
- │ NAMEDataProcessor.batch_process_zip()│
876
- └────────────────────────────────────────┘
877
-
878
-
879
- ┌─────────────────────────────┐
880
- │ Converts to NetCDF files │
881
- │ - ash_output/3D/*.nc │
882
- │ - ash_output/horizontal/*.nc │
883
- └─────────────────────────────┘
884
-
885
-
886
- ┌─────────────────────────────────────┐
887
- │ View & animate in 3D/2D tabs │
888
- │ Download results in Media Viewer │
889
- └─────────────────────────────────────┘
890
-
891
- ```
892
-
893
- ### 📢 Tips
894
- - Reset the app with 🔄 if needed.
895
- - View logs if an error occurs.
896
- - Outputs are temporary per session.
897
- """, sizing_mode="stretch_width", width=800))
898
-
899
- tabs = pn.Tabs(
900
- ("🧱 3D Field", tab3d),
901
- ("🌍 2D Field", tab2d),
902
- ("📁 Media Viewer", media_tab),
903
- ("❓ Help", help_tab)
904
- )
905
-
906
- sidebar = pn.Column(
907
- pn.pane.Markdown("## 🌋 NAME Ash Visualizer", sizing_mode="stretch_width"),
908
- pn.Card(pn.Column(file_input, process_button, reset_button, sizing_mode="stretch_width"),
909
- title="📂 File Upload & Processing", collapsible=True, sizing_mode="stretch_width"),
910
- pn.Card(pn.Column(download_button, log_link, sizing_mode="stretch_width"),
911
- title="📁 Downloads & Logs", collapsible=True, sizing_mode="stretch_width"),
912
- pn.Card(status, title="📢 Status", collapsible=True, sizing_mode="stretch_width"),
913
- sizing_mode="stretch_width", width=300
914
- )
915
 
916
  restore_previous_session()
917
 
@@ -919,5 +320,4 @@ pn.template.FastListTemplate(
919
  title="NAME Visualizer Dashboard",
920
  sidebar=sidebar,
921
  main=[tabs],
922
- ).servable()
923
- '''
 
 
1
  import os
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  import glob
3
  import shutil
4
  import io
 
14
  from ash_animator.plot_horizontal_data import Plot_Horizontal_Data
15
  from ash_animator import create_grid
16
 
 
17
  pn.extension()
18
 
19
+ MEDIA_DIR = "media"
 
 
20
  os.makedirs(MEDIA_DIR, exist_ok=True)
21
 
22
  # Logging setup
 
69
  status.object = "✅ ZIP uploaded and saved."
70
  else:
71
  zip_path = os.path.join(MEDIA_DIR, "default_model.zip")
 
 
72
  if not os.path.exists(zip_path):
73
  status.object = "❌ No ZIP uploaded and default_model.zip not found."
74
  return
75
  status.object = "📦 Using default_model.zip"
76
 
77
+ output_dir = os.path.join("./", "ash_output")
 
 
 
 
 
 
78
  shutil.rmtree(output_dir, ignore_errors=True)
79
  os.makedirs(output_dir, exist_ok=True)
80
 
 
85
  # animator_obj["3d"] = [xr.open_dataset(fp).load()
86
  # for fp in sorted(glob.glob(os.path.join(output_dir, "3D", "*.nc")))]
87
 
 
 
 
 
88
  animator_obj["3d"] = []
89
  for fp in sorted(glob.glob(os.path.join(output_dir, "3D", "*.nc"))):
90
  with xr.open_dataset(fp) as ds:
 
125
  with open(state_file) as f:
126
  zip_path = f.read().strip()
127
  if os.path.exists(zip_path):
128
+ output_dir = os.path.join("./", "ash_output")
 
 
 
 
 
129
 
130
  animator_obj["3d"] = []
131
  for fp in sorted(glob.glob(os.path.join(output_dir, "3D", "*.nc"))):
 
249
  size /= 1024
250
  return f"{size:.1f} TB"
251
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
252
  def generate_output_gallery(base_folder):
253
+ grouped = defaultdict(lambda: defaultdict(list))
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
254
  for root, _, files in os.walk(os.path.join(MEDIA_DIR, base_folder)):
255
+ for file in files:
256
+ ext = os.path.splitext(file)[1].lower()
257
+ subfolder = os.path.relpath(root, MEDIA_DIR)
258
+ grouped[subfolder][ext].append(os.path.join(root, file))
259
+
260
+ folder_tabs = []
261
+ for subfolder, ext_files in sorted(grouped.items()):
262
+ type_tabs = []
263
+ for ext, paths in sorted(ext_files.items()):
264
+ previews = []
265
+ for path in sorted(paths, key=os.path.getmtime, reverse=True):
266
+ size = human_readable_size(os.path.getsize(path))
267
+ mod = datetime.fromtimestamp(os.path.getmtime(path)).strftime("%Y-%m-%d %H:%M")
268
+ title = f"**{os.path.basename(path)}**\\n_{size}, {mod}_"
269
+ download = pn.widgets.FileDownload(label="⬇", file=path, filename=os.path.basename(path), width=60)
270
+ if ext in [".gif", ".png", ".jpg", ".jpeg"]:
271
+ preview = pn.pane.Image(path, width=320)
272
+ else:
273
+ with open(path, "r", errors="ignore") as f:
274
+ content = f.read(2048)
275
+ preview = pn.pane.PreText(content, width=320)
276
+ card = pn.Card(pn.pane.Markdown(title), preview, pn.Row(download), width=360)
277
+ previews.append(card)
278
+ type_tabs.append((ext.upper(), pn.GridBox(*previews, ncols=2)))
279
+ folder_tabs.append((subfolder, pn.Tabs(*type_tabs)))
280
+ return pn.Tabs(*folder_tabs)
 
 
 
 
 
 
 
 
 
 
 
281
 
282
  def update_media_tabs():
283
  media_tab_2d.objects[:] = [generate_output_gallery("2D")]
 
291
  ("3D Outputs", media_tab_3d)
292
  )
293
 
 
294
  tab3d = pn.Column(
295
  threshold_slider_3d, zoom_slider_3d, fps_slider_3d, Altitude_slider, cmap_select_3d,
296
  pn.widgets.Button(name="🎞 Generate animation at selected altitude level", button_type="primary", on_click=lambda e: tab3d.append(plot_z_level())),
 
306
  pn.widgets.Button(name="💧 Animate Wet Deposition Rate", button_type="primary", on_click=lambda e: tab2d.append(plot_2d_field("wet_deposition_rate"))),
307
  )
308
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
309
  tabs = pn.Tabs(
310
  ("🧱 3D Field", tab3d),
311
  ("🌍 2D Field", tab2d),
312
+ ("📁 Media Viewer", media_tab)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
313
  )
314
 
315
+ sidebar = pn.Column("## 🌋 NAME Ash Visualizer", file_input, process_button, reset_button, download_button, log_link, status)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
316
 
317
  restore_previous_session()
318
 
 
320
  title="NAME Visualizer Dashboard",
321
  sidebar=sidebar,
322
  main=[tabs],
323
+ ).servable()
 
ash_animator/__init__.py CHANGED
@@ -1,41 +1,4 @@
1
 
2
- # cache_setup.py
3
-
4
- import os
5
- import tempfile
6
-
7
- def setup_safe_cache(app_name="my_app"):
8
- """
9
- Redirects all common cache/config directories to a writable location
10
- to avoid permission issues (e.g., in Docker, servers, CI).
11
-
12
- Must be called before importing:
13
- - matplotlib
14
- - cartopy
15
- - contextily
16
- - any internal modules using those libraries
17
- """
18
-
19
- # Define root cache location
20
- cache_root = os.path.join(tempfile.gettempdir(), f"{app_name}_cache")
21
-
22
- # Map of environment variables to subdirectories
23
- cache_paths = {
24
- "XDG_CACHE_HOME": os.path.join(cache_root, "xdg_cache"),
25
- "XDG_CONFIG_HOME": os.path.join(cache_root, "xdg_config"),
26
- "MPLCONFIGDIR": os.path.join(cache_root, "matplotlib"),
27
- "CARTOPY_USER_BACKGROUNDS": os.path.join(cache_root, "cartopy"),
28
- "CARTOPY_CACHE_DIR": os.path.join(cache_root, "cartopy"),
29
- }
30
-
31
- # Apply environment variable overrides and ensure directories exist
32
- for var, path in cache_paths.items():
33
- os.environ[var] = path
34
- os.makedirs(path, exist_ok=True)
35
-
36
- print(f"✅ Cache directories set under: {cache_root}")
37
-
38
- setup_safe_cache("ash_animator") # You can pass your app name
39
  # Auto-generated __init__.py to import all modules
40
  from .basemaps import *
41
  from .converter import *
 
1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  # Auto-generated __init__.py to import all modules
3
  from .basemaps import *
4
  from .converter import *
ash_animator/__pycache__/animation_single.cpython-312.pyc CHANGED
Binary files a/ash_animator/__pycache__/animation_single.cpython-312.pyc and b/ash_animator/__pycache__/animation_single.cpython-312.pyc differ
 
ash_animator/__pycache__/animation_vertical.cpython-312.pyc CHANGED
Binary files a/ash_animator/__pycache__/animation_vertical.cpython-312.pyc and b/ash_animator/__pycache__/animation_vertical.cpython-312.pyc differ
 
ash_animator/__pycache__/basemaps.cpython-312.pyc CHANGED
Binary files a/ash_animator/__pycache__/basemaps.cpython-312.pyc and b/ash_animator/__pycache__/basemaps.cpython-312.pyc differ
 
ash_animator/__pycache__/converter.cpython-312.pyc CHANGED
Binary files a/ash_animator/__pycache__/converter.cpython-312.pyc and b/ash_animator/__pycache__/converter.cpython-312.pyc differ
 
ash_animator/__pycache__/export.cpython-312.pyc CHANGED
Binary files a/ash_animator/__pycache__/export.cpython-312.pyc and b/ash_animator/__pycache__/export.cpython-312.pyc differ
 
ash_animator/__pycache__/interpolation.cpython-312.pyc CHANGED
Binary files a/ash_animator/__pycache__/interpolation.cpython-312.pyc and b/ash_animator/__pycache__/interpolation.cpython-312.pyc differ
 
ash_animator/__pycache__/plot_3dfield_data.cpython-312.pyc CHANGED
Binary files a/ash_animator/__pycache__/plot_3dfield_data.cpython-312.pyc and b/ash_animator/__pycache__/plot_3dfield_data.cpython-312.pyc differ
 
ash_animator/__pycache__/plot_horizontal_data.cpython-312.pyc CHANGED
Binary files a/ash_animator/__pycache__/plot_horizontal_data.cpython-312.pyc and b/ash_animator/__pycache__/plot_horizontal_data.cpython-312.pyc differ
 
ash_animator/__pycache__/utils.cpython-312.pyc CHANGED
Binary files a/ash_animator/__pycache__/utils.cpython-312.pyc and b/ash_animator/__pycache__/utils.cpython-312.pyc differ
 
ash_animator/basemaps.py CHANGED
@@ -1,48 +1,77 @@
1
- import os
2
- import tempfile
3
- import hashlib
4
- from PIL import Image
5
-
6
-
7
- def get_cache_dir(app_name):
8
- """
9
- Attempt to create a writable cache directory.
10
- Return None if both preferred and fallback locations fail.
11
- """
12
- try:
13
- preferred = os.path.join("/code", f"{app_name}_cache")
14
- os.makedirs(preferred, exist_ok=True)
15
- return preferred
16
- except Exception:
17
- try:
18
- fallback = os.path.join(tempfile.gettempdir(), f"{app_name}_cache")
19
- os.makedirs(fallback, exist_ok=True)
20
- return fallback
21
- except Exception:
22
- print(f"[Cache Disabled] Could not create cache for {app_name}.")
23
- return None
24
-
25
- # Define cache dirs (may be None)
26
- CTX_TILE_CACHE_DIR = get_cache_dir("contextily")
27
- BASEMAP_TILE_CACHE_DIR = get_cache_dir("basemap")
28
- CARTOPY_CACHE_DIR = get_cache_dir("cartopy")
29
-
30
- # Set env vars if cartopy cache dir is usable
31
- if CARTOPY_CACHE_DIR:
32
- os.environ["CARTOPY_USER_BACKGROUNDS"] = CARTOPY_CACHE_DIR
33
- os.environ["CARTOPY_CACHE_DIR"] = CARTOPY_CACHE_DIR
34
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
35
 
36
- import matplotlib.pyplot as plt
 
37
  import contextily as ctx
38
  from mpl_toolkits.basemap import Basemap
39
  import cartopy.crs as ccrs
40
  import cartopy.feature as cfeature
 
 
 
 
 
 
 
 
 
 
 
 
41
 
42
  def draw_etopo_basemap(ax, mode="basemap", zoom=11):
43
  """
44
- Draws a background basemap image on a Cartopy GeoAxes.
45
- Falls back to simple features if caching or basemap rendering fails.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
46
  """
47
  try:
48
  if mode == "stock":
@@ -51,46 +80,52 @@ def draw_etopo_basemap(ax, mode="basemap", zoom=11):
51
  elif mode == "contextily":
52
  extent = ax.get_extent(crs=ccrs.PlateCarree())
53
  ax.set_extent(extent, crs=ccrs.PlateCarree())
54
- ctx.add_basemap(ax, crs=ccrs.PlateCarree(),
55
- source=ctx.providers.CartoDB.Voyager, zoom=zoom)
 
 
 
 
56
 
57
  elif mode == "basemap":
58
  extent = ax.get_extent(crs=ccrs.PlateCarree())
59
- extent_str = "_".join(f"{v:.4f}" for v in extent)
 
 
60
  cache_key = hashlib.md5(extent_str.encode()).hexdigest()
61
- cache_file = (os.path.join(BASEMAP_TILE_CACHE_DIR, f"{cache_key}_highres.png")
62
- if BASEMAP_TILE_CACHE_DIR else None)
63
 
64
- if cache_file and os.path.exists(cache_file):
65
  img = Image.open(cache_file)
66
  ax.imshow(img, extent=extent, transform=ccrs.PlateCarree())
67
  else:
68
- fig, temp_ax = plt.subplots(figsize=(12, 9),
69
- subplot_kw={'projection': ccrs.PlateCarree()})
 
70
  temp_ax.set_extent(extent, crs=ccrs.PlateCarree())
71
 
72
  m = Basemap(projection='cyl',
73
  llcrnrlon=extent[0], urcrnrlon=extent[1],
74
  llcrnrlat=extent[2], urcrnrlat=extent[3],
75
- resolution='f', ax=temp_ax)
76
 
77
  m.shadedrelief()
 
 
 
78
 
79
- if cache_file:
80
- try:
81
- fig.savefig(cache_file, dpi=300, bbox_inches='tight', pad_inches=0)
82
- except Exception:
83
- print("[Basemap Cache Write Failed] Skipping cache.")
84
- plt.close(fig)
85
 
86
- # img = Image.open(cache_file) if cache_file and os.path.exists(cache_file) else None
87
- # if img:
88
- # ax.imshow(img, extent=extent, transform=ccrs.PlateCarree())
89
 
90
  else:
91
  raise ValueError(f"Unsupported basemap mode: {mode}")
92
 
93
  except Exception as e:
94
- print(f"[Basemap Error: {mode}] {e}")
95
  ax.add_feature(cfeature.LAND)
96
  ax.add_feature(cfeature.OCEAN)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
 
2
+ # import contextily as ctx
3
+ # from mpl_toolkits.basemap import Basemap
4
+ # import cartopy.crs as ccrs
5
+ # import cartopy.feature as cfeature
6
+
7
+ # def draw_etopo_basemap(ax, mode="basemap", zoom=7):
8
+ # try:
9
+ # if mode == "stock":
10
+ # ax.stock_img()
11
+ # elif mode == "contextily":
12
+ # extent = ax.get_extent(ccrs.PlateCarree())
13
+ # ax.set_extent(extent, crs=ccrs.PlateCarree())
14
+ # ctx.add_basemap(ax, crs=ccrs.PlateCarree(), source=ctx.providers.CartoDB.Voyager, zoom=zoom)
15
+ # elif mode == "basemap":
16
+ # extent = ax.get_extent(ccrs.PlateCarree())
17
+ # m = Basemap(projection='cyl',
18
+ # llcrnrlon=extent[0], urcrnrlon=extent[1],
19
+ # llcrnrlat=extent[2], urcrnrlat=extent[3],
20
+ # resolution='h', ax=ax)
21
+ # m.shadedrelief()
22
+ # m.drawcoastlines(linewidth=0.5)
23
+ # m.drawcountries(linewidth=0.7)
24
+ # m.drawmapboundary()
25
+ # else:
26
+ # raise ValueError(f"Unsupported basemap mode: {mode}")
27
+ # except Exception as e:
28
+ # print(f"[Relief Error - {mode} mode]:", e)
29
+ # ax.add_feature(cfeature.LAND)
30
+ # ax.add_feature(cfeature.OCEAN)
31
 
32
+ import os
33
+ import hashlib
34
  import contextily as ctx
35
  from mpl_toolkits.basemap import Basemap
36
  import cartopy.crs as ccrs
37
  import cartopy.feature as cfeature
38
+ from PIL import Image
39
+ import matplotlib.pyplot as plt
40
+
41
+ # Define cache directories
42
+ # Optional: Set tile cache directory (must be done before contextily downloads tiles)
43
+ os.environ["XDG_CACHE_HOME"] = os.path.expanduser("~/.contextily_cache")
44
+
45
+ CTX_TILE_CACHE_DIR = os.path.expanduser("~/.contextily_cache")
46
+ BASEMAP_TILE_CACHE_DIR = os.path.expanduser("~/.basemap_cache")
47
+
48
+ os.makedirs(CTX_TILE_CACHE_DIR, exist_ok=True)
49
+ os.makedirs(BASEMAP_TILE_CACHE_DIR, exist_ok=True)
50
 
51
  def draw_etopo_basemap(ax, mode="basemap", zoom=11):
52
  """
53
+ Draws a high-resolution basemap background on the provided Cartopy GeoAxes.
54
+
55
+ Parameters
56
+ ----------
57
+ ax : matplotlib.axes._subplots.AxesSubplot
58
+ The matplotlib Axes object (with Cartopy projection) to draw the map background on.
59
+
60
+ mode : str, optional
61
+ The basemap mode to use:
62
+ - "stock": Default stock image from Cartopy.
63
+ - "contextily": Web tile background (CartoDB Voyager), with caching.
64
+ - "basemap": High-resolution shaded relief using Basemap, with caching.
65
+ Default is "basemap".
66
+
67
+ zoom : int, optional
68
+ Tile zoom level (only for "contextily"). Higher = more detail. Default is 7.
69
+
70
+ Notes
71
+ -----
72
+ - Uses high resolution for Basemap (resolution='h') and saves figure at 300 DPI.
73
+ - Cached images are reused using extent-based hashing to avoid re-rendering.
74
+ - Basemap is deprecated; Cartopy with web tiles is recommended for new projects.
75
  """
76
  try:
77
  if mode == "stock":
 
80
  elif mode == "contextily":
81
  extent = ax.get_extent(crs=ccrs.PlateCarree())
82
  ax.set_extent(extent, crs=ccrs.PlateCarree())
83
+ ctx.add_basemap(
84
+ ax,
85
+ crs=ccrs.PlateCarree(),
86
+ source=ctx.providers.CartoDB.Voyager,
87
+ zoom=zoom
88
+ )
89
 
90
  elif mode == "basemap":
91
  extent = ax.get_extent(crs=ccrs.PlateCarree())
92
+
93
+ # Create a hash key for this extent
94
+ extent_str = f"{extent[0]:.4f}_{extent[1]:.4f}_{extent[2]:.4f}_{extent[3]:.4f}"
95
  cache_key = hashlib.md5(extent_str.encode()).hexdigest()
96
+ cache_file = os.path.join(BASEMAP_TILE_CACHE_DIR, f"{cache_key}_highres.png")
 
97
 
98
+ if os.path.exists(cache_file):
99
  img = Image.open(cache_file)
100
  ax.imshow(img, extent=extent, transform=ccrs.PlateCarree())
101
  else:
102
+ # Create a high-resolution temporary figure
103
+ temp_fig, temp_ax = plt.subplots(figsize=(12, 9),
104
+ subplot_kw={'projection': ccrs.PlateCarree()})
105
  temp_ax.set_extent(extent, crs=ccrs.PlateCarree())
106
 
107
  m = Basemap(projection='cyl',
108
  llcrnrlon=extent[0], urcrnrlon=extent[1],
109
  llcrnrlat=extent[2], urcrnrlat=extent[3],
110
+ resolution='f', ax=temp_ax) # 'h' = high resolution
111
 
112
  m.shadedrelief()
113
+ # m.drawcoastlines(linewidth=0.1)
114
+ # m.drawcountries(linewidth=0.1)
115
+ # m.drawmapboundary()
116
 
117
+ # Save high-DPI figure for clarity
118
+ temp_fig.savefig(cache_file, dpi=300, bbox_inches='tight', pad_inches=0)
119
+ plt.close(temp_fig)
 
 
 
120
 
121
+ # Load and display the cached image
122
+ img = Image.open(cache_file)
123
+ ax.imshow(img, extent=extent, transform=ccrs.PlateCarree())
124
 
125
  else:
126
  raise ValueError(f"Unsupported basemap mode: {mode}")
127
 
128
  except Exception as e:
129
+ print(f"[Relief Error - {mode} mode]:", e)
130
  ax.add_feature(cfeature.LAND)
131
  ax.add_feature(cfeature.OCEAN)
ash_animator/converter.py CHANGED
@@ -1,4 +1,148 @@
1
-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
 
3
  # Re-defining the integrated class first
4
  import os
@@ -10,17 +154,8 @@ from typing import List, Tuple
10
  import shutil
11
 
12
 
13
- import tempfile # Added for safe temp directory usage
14
-
15
  class NAMEDataProcessor:
16
- def __init__(self, output_root: str = None):
17
- if output_root is None:
18
- output_root = os.path.join(tempfile.gettempdir(), "name_outputs")
19
- self.output_root = output_root
20
- self.output_3d = os.path.join(self.output_root, "3D")
21
- self.output_horizontal = os.path.join(self.output_root, "horizontal")
22
- os.makedirs(self.output_3d, exist_ok=True)
23
- os.makedirs(self.output_horizontal, exist_ok=True)
24
  self.output_root = output_root
25
  self.output_3d = os.path.join(self.output_root, "3D")
26
  self.output_horizontal = os.path.join(self.output_root, "horizontal")
@@ -197,7 +332,7 @@ class NAMEDataProcessor:
197
 
198
 
199
  def batch_process_zip(self, zip_path: str) -> List[str]:
200
- extract_dir = os.path.join(tempfile.gettempdir(), "unzipped_name_extract")
201
 
202
  os.makedirs(extract_dir, exist_ok=True)
203
 
 
1
+ # # Full updated and corrected version of NAMEDataConverter with sanitized metadata keys
2
+
3
+ # import os
4
+ # import re
5
+ # import zipfile
6
+ # import shutil
7
+ # import numpy as np
8
+ # import xarray as xr
9
+ # import matplotlib.pyplot as plt
10
+ # import matplotlib.animation as animation
11
+ # from typing import List, Tuple
12
+
13
+ # class NAMEDataConverter:
14
+ # def __init__(self, output_dir: str):
15
+ # self.output_dir = output_dir
16
+ # os.makedirs(self.output_dir, exist_ok=True)
17
+
18
+ # def _sanitize_key(self, key: str) -> str:
19
+ # # Replace non-alphanumeric characters with underscores, and ensure it starts with a letter
20
+ # key = re.sub(r'\W+', '_', key)
21
+ # if not key[0].isalpha():
22
+ # key = f"attr_{key}"
23
+ # return key
24
+
25
+ # def _parse_metadata(self, lines: List[str]) -> dict:
26
+ # metadata = {}
27
+ # for line in lines:
28
+ # if ":" in line:
29
+ # key, value = line.split(":", 1)
30
+ # clean_key = self._sanitize_key(key.strip().lower())
31
+ # metadata[clean_key] = value.strip()
32
+
33
+ # try:
34
+ # metadata.update({
35
+ # "x_origin": float(metadata["x_grid_origin"]),
36
+ # "y_origin": float(metadata["y_grid_origin"]),
37
+ # "x_size": int(metadata["x_grid_size"]),
38
+ # "y_size": int(metadata["y_grid_size"]),
39
+ # "x_res": float(metadata["x_grid_resolution"]),
40
+ # "y_res": float(metadata["y_grid_resolution"]),
41
+ # "prelim_cols": int(metadata["number_of_preliminary_cols"]),
42
+ # "n_fields": int(metadata["number_of_field_cols"]),
43
+ # })
44
+ # except KeyError as e:
45
+ # raise ValueError(f"Missing required metadata field: {e}")
46
+ # except ValueError as e:
47
+ # raise ValueError(f"Invalid value in metadata: {e}")
48
+
49
+ # if metadata["x_res"] == 0 or metadata["y_res"] == 0:
50
+ # raise ZeroDivisionError("Grid resolution cannot be zero.")
51
+
52
+ # return metadata
53
+
54
+ # def _get_data_lines(self, lines: List[str]) -> List[str]:
55
+ # idx = next(i for i, l in enumerate(lines) if l.strip() == "Fields:")
56
+ # return lines[idx + 1:]
57
+
58
+ # def convert_3d_group(self, group: List[Tuple[int, str]], output_filename: str) -> str:
59
+ # first_file_path = group[0][1]
60
+ # with open(first_file_path, 'r') as f:
61
+ # lines = f.readlines()
62
+ # meta = self._parse_metadata(lines)
63
+
64
+ # lons = np.round(np.arange(meta["x_origin"], meta["x_origin"] + meta["x_size"] * meta["x_res"], meta["x_res"]), 6)
65
+ # lats = np.round(np.arange(meta["y_origin"], meta["y_origin"] + meta["y_size"] * meta["y_res"], meta["y_res"]), 6)
66
+
67
+ # z_levels = []
68
+ # z_coords = []
69
+
70
+ # for z_idx, filepath in group:
71
+ # with open(filepath, 'r') as f:
72
+ # lines = f.readlines()
73
+ # data_lines = self._get_data_lines(lines)
74
+ # grid = np.zeros((meta["y_size"], meta["x_size"]), dtype=np.float32)
75
+
76
+ # for line in data_lines:
77
+ # parts = [p.strip().strip(',') for p in line.strip().split(',') if p.strip()]
78
+ # if len(parts) >= 5 and parts[0].isdigit() and parts[1].isdigit():
79
+ # try:
80
+ # x = int(parts[0]) - 1
81
+ # y = int(parts[1]) - 1
82
+ # val = float(parts[4])
83
+ # if 0 <= x < meta["x_size"] and 0 <= y < meta["y_size"]:
84
+ # grid[y, x] = val
85
+ # except Exception:
86
+ # continue
87
+ # z_levels.append(grid)
88
+ # z_coords.append(z_idx)
89
+
90
+ # z_cube = np.stack(z_levels, axis=0)
91
+ # ds = xr.Dataset(
92
+ # {
93
+ # "ash_concentration": (['altitude', 'latitude', 'longitude'], z_cube)
94
+ # },
95
+ # coords={
96
+ # "altitude": np.array(z_coords, dtype=np.float32),
97
+ # "latitude": lats,
98
+ # "longitude": lons
99
+ # },
100
+ # attrs={
101
+ # "title": "Volcanic Ash Concentration",
102
+ # "source": "NAME model output processed to NetCDF",
103
+ # **{k: str(v) for k, v in meta.items()} # Ensure all attrs are strings
104
+ # }
105
+ # )
106
+ # ds["ash_concentration"].attrs.update({
107
+ # "units": "g/m^3",
108
+ # "long_name": "Volcanic ash concentration"
109
+ # })
110
+ # ds["altitude"].attrs["units"] = "kilometers above sea level"
111
+ # ds["latitude"].attrs["units"] = "degrees_north"
112
+ # ds["longitude"].attrs["units"] = "degrees_east"
113
+
114
+ # out_path = os.path.join(self.output_dir, output_filename)
115
+ # ds.to_netcdf(out_path)
116
+ # return out_path
117
+
118
+ # def batch_process_zip(self, zip_path: str) -> List[str]:
119
+ # extract_dir = os.path.join(self.output_dir, "unzipped")
120
+ # os.makedirs(extract_dir, exist_ok=True)
121
+
122
+ # with zipfile.ZipFile(zip_path, 'r') as zip_ref:
123
+ # zip_ref.extractall(extract_dir)
124
+
125
+ # txt_files = []
126
+ # for root, _, files in os.walk(extract_dir):
127
+ # for file in files:
128
+ # if file.endswith(".txt"):
129
+ # txt_files.append(os.path.join(root, file))
130
+
131
+ # pattern = re.compile(r"_T(\d+)_.*_Z(\d+)\.txt$")
132
+ # grouped = {}
133
+ # for f in txt_files:
134
+ # match = pattern.search(f)
135
+ # if match:
136
+ # t = int(match.group(1))
137
+ # z = int(match.group(2))
138
+ # grouped.setdefault(t, []).append((z, f))
139
+
140
+ # nc_files = []
141
+ # for t_key in sorted(grouped):
142
+ # group = sorted(grouped[t_key])
143
+ # out_nc = self.convert_3d_group(group, f"T{t_key}.nc")
144
+ # nc_files.append(out_nc)
145
+ # return nc_files
146
 
147
  # Re-defining the integrated class first
148
  import os
 
154
  import shutil
155
 
156
 
 
 
157
  class NAMEDataProcessor:
158
+ def __init__(self, output_root: str):
 
 
 
 
 
 
 
159
  self.output_root = output_root
160
  self.output_3d = os.path.join(self.output_root, "3D")
161
  self.output_horizontal = os.path.join(self.output_root, "horizontal")
 
332
 
333
 
334
  def batch_process_zip(self, zip_path: str) -> List[str]:
335
+ extract_dir = os.path.abspath("unzipped")
336
 
337
  os.makedirs(extract_dir, exist_ok=True)
338
 
ash_animator/plot_3dfield_data.py CHANGED
@@ -11,7 +11,6 @@ from .interpolation import interpolate_grid
11
  from .basemaps import draw_etopo_basemap
12
  import imageio.v2 as imageio
13
  import shutil
14
- import tempfile
15
 
16
  class Plot_3DField_Data:
17
 
@@ -71,13 +70,7 @@ class Plot_3DField_Data:
71
  include_metadata=True, threshold=0.1,
72
  zoom_width_deg=6.0, zoom_height_deg=6.0, zoom_level=7, basemap_type="basemap"):
73
  self.animator = animator
74
-
75
- self.output_dir = os.path.abspath(
76
- os.path.join(
77
- os.environ.get("NAME_OUTPUT_DIR", tempfile.gettempdir()),
78
- output_dir
79
- )
80
- )
81
  os.makedirs(self.output_dir, exist_ok=True)
82
  self.cmap = cmap
83
  self.fps = fps
@@ -467,6 +460,6 @@ class Plot_3DField_Data:
467
  formatter = mticker.FuncFormatter(lambda x, _: f'{x:.2g}')
468
  cbar.ax.yaxis.set_major_formatter(formatter)
469
  frame_path = os.path.join(z_dir, f"frame_{t+1:04d}.jpg")
470
- plt.savefig(frame_path, bbox_inches='tight')
471
  plt.close(fig)
472
  print(f"📸 Saved {frame_path}")
 
11
  from .basemaps import draw_etopo_basemap
12
  import imageio.v2 as imageio
13
  import shutil
 
14
 
15
  class Plot_3DField_Data:
16
 
 
70
  include_metadata=True, threshold=0.1,
71
  zoom_width_deg=6.0, zoom_height_deg=6.0, zoom_level=7, basemap_type="basemap"):
72
  self.animator = animator
73
+ self.output_dir = os.path.abspath(os.path.join(os.getcwd(), output_dir))
 
 
 
 
 
 
74
  os.makedirs(self.output_dir, exist_ok=True)
75
  self.cmap = cmap
76
  self.fps = fps
 
460
  formatter = mticker.FuncFormatter(lambda x, _: f'{x:.2g}')
461
  cbar.ax.yaxis.set_major_formatter(formatter)
462
  frame_path = os.path.join(z_dir, f"frame_{t+1:04d}.jpg")
463
+ plt.savefig(frame_path, dpi=150, bbox_inches='tight')
464
  plt.close(fig)
465
  print(f"📸 Saved {frame_path}")
ash_animator/plot_horizontal_data.py CHANGED
@@ -9,21 +9,13 @@ import cartopy.io.shapereader as shpreader
9
  from adjustText import adjust_text
10
  from ash_animator.interpolation import interpolate_grid
11
  from ash_animator.basemaps import draw_etopo_basemap
12
- import tempfile
13
 
14
  class Plot_Horizontal_Data:
15
  def __init__(self, animator, output_dir="plots", cmap="rainbow", fps=2,
16
  include_metadata=True, threshold=0.1,
17
  zoom_width_deg=6.0, zoom_height_deg=6.0, zoom_level=7, static_frame_export=False):
18
  self.animator = animator
19
-
20
- # Set a writable, absolute output directory
21
- self.output_dir = os.path.abspath(
22
- os.path.join(
23
- os.environ.get("NAME_OUTPUT_DIR", tempfile.gettempdir()),
24
- output_dir
25
- )
26
- )
27
  os.makedirs(self.output_dir, exist_ok=True)
28
  self.cmap = cmap
29
  self.fps = fps
@@ -182,7 +174,7 @@ class Plot_Horizontal_Data:
182
 
183
  # Inside update() function:
184
  if not hasattr(update, "colorbar"):
185
- unit_label = f"{field}:({self.animator.datasets[0][field].attrs.get('units', field)})" #self.animator.datasets[0][field].attrs.get('units', field)
186
  update.colorbar = fig.colorbar(c, ax=[ax1, ax2], orientation='vertical', label=unit_label)
187
  formatter = mticker.FuncFormatter(lambda x, _: f'{x:.2g}')
188
  update.colorbar.ax.yaxis.set_major_formatter(formatter)
@@ -202,7 +194,7 @@ class Plot_Horizontal_Data:
202
  frame_folder = os.path.join(self.output_dir, "frames", field)
203
  os.makedirs(frame_folder, exist_ok=True)
204
  frame_path = os.path.join(frame_folder, f"frame_{t+1:04d}.jpg")
205
- plt.savefig(frame_path, bbox_inches='tight')
206
  print(f"🖼️ Saved static frame: {frame_path}")
207
 
208
  return []
 
9
  from adjustText import adjust_text
10
  from ash_animator.interpolation import interpolate_grid
11
  from ash_animator.basemaps import draw_etopo_basemap
 
12
 
13
  class Plot_Horizontal_Data:
14
  def __init__(self, animator, output_dir="plots", cmap="rainbow", fps=2,
15
  include_metadata=True, threshold=0.1,
16
  zoom_width_deg=6.0, zoom_height_deg=6.0, zoom_level=7, static_frame_export=False):
17
  self.animator = animator
18
+ self.output_dir = os.path.abspath(os.path.join(os.getcwd(), output_dir))
 
 
 
 
 
 
 
19
  os.makedirs(self.output_dir, exist_ok=True)
20
  self.cmap = cmap
21
  self.fps = fps
 
174
 
175
  # Inside update() function:
176
  if not hasattr(update, "colorbar"):
177
+ unit_label = f"{field}:({self.animator.datasets[0][field].attrs.get("units", field)})" #self.animator.datasets[0][field].attrs.get("units", field)
178
  update.colorbar = fig.colorbar(c, ax=[ax1, ax2], orientation='vertical', label=unit_label)
179
  formatter = mticker.FuncFormatter(lambda x, _: f'{x:.2g}')
180
  update.colorbar.ax.yaxis.set_major_formatter(formatter)
 
194
  frame_folder = os.path.join(self.output_dir, "frames", field)
195
  os.makedirs(frame_folder, exist_ok=True)
196
  frame_path = os.path.join(frame_folder, f"frame_{t+1:04d}.jpg")
197
+ plt.savefig(frame_path, dpi=300, bbox_inches='tight')
198
  print(f"🖼️ Saved static frame: {frame_path}")
199
 
200
  return []
ash_output/3D/T1.nc ADDED
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1
+ NAME III (version 8.2)
2
+ Run name: Taal_273070_20250107041508.174287
3
+ Run time: 07/01/2025 04:15:10.918 UTC
4
+ Met data: NWP Flow.EC HRES Flow
5
+ Start of release: 12/01/2020 06:57 UTC
6
+ End of release: 12/01/2020 21:10 UTC
7
+ Source strength: 5.333333E+08 g / s
8
+ Release location: 120.9930E 14.0020N
9
+ Release height: 311.000 to 15311.000m asl
10
+ Run duration: 7day 0hr 0min
11
+ X grid origin: 90.00000
12
+ Y grid origin: -15.00000
13
+ X grid size: 281
14
+ Y grid size: 221
15
+ X grid resolution: 0.2500000
16
+ Y grid resolution: 0.2500000
17
+ Number of preliminary cols: 4
18
+ Number of field cols: 1
19
+
20
+ Fields:
21
+ , , , , VOLCANIC,
22
+ , , , , AirConc Ash,
23
+ , , , , Air Concentration,
24
+ , , , , VOLCANIC_ASH,
25
+ , , , , g / m^3,
26
+ , , , , All sources,
27
+ , , , , No ensemble averaging,
28
+ , , , , 1hr 0min average,
29
+ , , , , No horizontal averaging,
30
+ , , , , No vertical averaging,
31
+ , , , , ,
32
+ , , , , ,
33
+ , , , , ,
34
+ , , , , 12/01/2020 14:00 UTC,
35
+ , , , , Z = 1000 m agl,
36
+ , , , , ,
37
+ X Index, Y Index, X (Lat-Long), Y (Lat-Long), ,
38
+ 120, 114, 119.75, 13.25, 7.345203E-05,
39
+ 120, 115, 119.75, 13.5, 5.622633E-05,
40
+ 120, 116, 119.75, 13.75, 2.600824E-05,
41
+ 121, 113, 120, 13, 0.0001420568,
42
+ 121, 114, 120, 13.25, 0.001363128,
43
+ 121, 115, 120, 13.5, 0.003970164,
44
+ 121, 116, 120, 13.75, 0.00291151,
45
+ 121, 117, 120, 14, 9.206738E-05,
46
+ 121, 118, 120, 14.25, 1.456495E-05,
47
+ 122, 113, 120.25, 13, 0.001457789,
48
+ 122, 114, 120.25, 13.25, 0.01133905,
49
+ 122, 115, 120.25, 13.5, 0.03271282,
50
+ 122, 116, 120.25, 13.75, 0.03133794,
51
+ 122, 117, 120.25, 14, 0.003700373,
52
+ 123, 112, 120.5, 12.75, 3.815254E-05,
53
+ 123, 113, 120.5, 13, 0.001681373,
54
+ 123, 114, 120.5, 13.25, 0.03288734,
55
+ 123, 115, 120.5, 13.5, 0.07128608,
56
+ 123, 116, 120.5, 13.75, 0.1296768,
57
+ 123, 117, 120.5, 14, 0.04034004,
58
+ 123, 118, 120.5, 14.25, 5.493374E-05,
59
+ 124, 113, 120.75, 13, 0.0002777606,
60
+ 124, 114, 120.75, 13.25, 0.01638796,
61
+ 124, 115, 120.75, 13.5, 0.03514561,
62
+ 124, 116, 120.75, 13.75, 0.1086908,
63
+ 124, 117, 120.75, 14, 0.1927676,
64
+ 124, 118, 120.75, 14.25, 0.0002998679,
65
+ 124, 119, 120.75, 14.5, 1.071569E-10,
66
+ 125, 113, 121, 13, 0.000159862,
67
+ 125, 114, 121, 13.25, 0.002424539,
68
+ 125, 115, 121, 13.5, 0.002680934,
69
+ 125, 116, 121, 13.75, 0.003586116,
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+ 125, 117, 121, 14, 0.142053,
71
+ 125, 118, 121, 14.25, 0.003128162,
72
+ 125, 119, 121, 14.5, 6.248734E-05,
73
+ 126, 113, 121.25, 13, 1.786754E-05,
74
+ 126, 115, 121.25, 13.5, 1.350236E-05,
75
+ 126, 116, 121.25, 13.75, 1.28469E-05,
76
+ 126, 117, 121.25, 14, 0.0001430601,
77
+ 126, 118, 121.25, 14.25, 0.001556279,
78
+ 126, 119, 121.25, 14.5, 0.001372935,
79
+ 126, 120, 121.25, 14.75, 0.0002339001,
80
+ 126, 121, 121.25, 15, 3.106254E-05,
81
+ 127, 118, 121.5, 14.25, 0.0002478267,
82
+ 127, 119, 121.5, 14.5, 0.001072011,
83
+ 127, 120, 121.5, 14.75, 0.0005181016,
84
+ 127, 121, 121.5, 15, 6.368926E-05,
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94
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+ NAME III (version 8.2)
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+ Run name: Taal_273070_20250107041508.174287
3
+ Run time: 07/01/2025 04:15:10.918 UTC
4
+ Met data: NWP Flow.EC HRES Flow
5
+ Start of release: 12/01/2020 06:57 UTC
6
+ End of release: 12/01/2020 21:10 UTC
7
+ Source strength: 5.333333E+08 g / s
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+ Release location: 120.9930E 14.0020N
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18
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+
20
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21
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22
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23
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24
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25
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26
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27
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28
+ , , , , 1hr 0min average,
29
+ , , , , No horizontal averaging,
30
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31
+ , , , , ,
32
+ , , , , ,
33
+ , , , , ,
34
+ , , , , 12/01/2020 14:00 UTC,
35
+ , , , , Z = 19000 m agl,
36
+ , , , , ,
37
+ X Index, Y Index, X (Lat-Long), Y (Lat-Long), ,
unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z11.txt ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ NAME III (version 8.2)
2
+ Run name: Taal_273070_20250107041508.174287
3
+ Run time: 07/01/2025 04:15:10.918 UTC
4
+ Met data: NWP Flow.EC HRES Flow
5
+ Start of release: 12/01/2020 06:57 UTC
6
+ End of release: 12/01/2020 21:10 UTC
7
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9
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+
20
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21
+ , , , , VOLCANIC,
22
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23
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24
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25
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26
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27
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28
+ , , , , 1hr 0min average,
29
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30
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31
+ , , , , ,
32
+ , , , , ,
33
+ , , , , ,
34
+ , , , , 12/01/2020 14:00 UTC,
35
+ , , , , Z = 22500 m agl,
36
+ , , , , ,
37
+ X Index, Y Index, X (Lat-Long), Y (Lat-Long), ,
unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z12.txt ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ NAME III (version 8.2)
2
+ Run name: Taal_273070_20250107041508.174287
3
+ Run time: 07/01/2025 04:15:10.918 UTC
4
+ Met data: NWP Flow.EC HRES Flow
5
+ Start of release: 12/01/2020 06:57 UTC
6
+ End of release: 12/01/2020 21:10 UTC
7
+ Source strength: 5.333333E+08 g / s
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+
20
+ Fields:
21
+ , , , , VOLCANIC,
22
+ , , , , AirConc Ash,
23
+ , , , , Air Concentration,
24
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25
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26
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27
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28
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29
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30
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31
+ , , , , ,
32
+ , , , , ,
33
+ , , , , ,
34
+ , , , , 12/01/2020 14:00 UTC,
35
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36
+ , , , , ,
37
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unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z2.txt ADDED
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1
+ NAME III (version 8.2)
2
+ Run name: Taal_273070_20250107041508.174287
3
+ Run time: 07/01/2025 04:15:10.918 UTC
4
+ Met data: NWP Flow.EC HRES Flow
5
+ Start of release: 12/01/2020 06:57 UTC
6
+ End of release: 12/01/2020 21:10 UTC
7
+ Source strength: 5.333333E+08 g / s
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20
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22
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23
+ , , , , Air Concentration,
24
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25
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26
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27
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28
+ , , , , 1hr 0min average,
29
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30
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31
+ , , , , ,
32
+ , , , , ,
33
+ , , , , ,
34
+ , , , , 12/01/2020 14:00 UTC,
35
+ , , , , Z = 3000 m agl,
36
+ , , , , ,
37
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38
+ 120, 113, 119.75, 13, 3.151353E-05,
39
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40
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51
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53
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54
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55
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56
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100
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101
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102
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103
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104
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105
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106
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107
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110
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+ 130, 126, 122.25, 16.25, 4.595343E-05,
112
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unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z3.txt ADDED
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1
+ NAME III (version 8.2)
2
+ Run name: Taal_273070_20250107041508.174287
3
+ Run time: 07/01/2025 04:15:10.918 UTC
4
+ Met data: NWP Flow.EC HRES Flow
5
+ Start of release: 12/01/2020 06:57 UTC
6
+ End of release: 12/01/2020 21:10 UTC
7
+ Source strength: 5.333333E+08 g / s
8
+ Release location: 120.9930E 14.0020N
9
+ Release height: 311.000 to 15311.000m asl
10
+ Run duration: 7day 0hr 0min
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19
+
20
+ Fields:
21
+ , , , , VOLCANIC,
22
+ , , , , AirConc Ash,
23
+ , , , , Air Concentration,
24
+ , , , , VOLCANIC_ASH,
25
+ , , , , g / m^3,
26
+ , , , , All sources,
27
+ , , , , No ensemble averaging,
28
+ , , , , 1hr 0min average,
29
+ , , , , No horizontal averaging,
30
+ , , , , No vertical averaging,
31
+ , , , , ,
32
+ , , , , ,
33
+ , , , , ,
34
+ , , , , 12/01/2020 14:00 UTC,
35
+ , , , , Z = 5000 m agl,
36
+ , , , , ,
37
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38
+ 124, 120, 120.75, 14.75, 1.832862E-05,
39
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40
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41
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42
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43
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44
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45
+ 125, 123, 121, 15.5, 5.674901E-05,
46
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47
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48
+ 126, 119, 121.25, 14.5, 0.09352003,
49
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50
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51
+ 126, 122, 121.25, 15.25, 0.04825792,
52
+ 126, 123, 121.25, 15.5, 0.009866159,
53
+ 126, 124, 121.25, 15.75, 0.0004914963,
54
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55
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56
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57
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58
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59
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60
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61
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62
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63
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64
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65
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66
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67
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68
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72
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87
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88
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90
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91
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93
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94
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95
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96
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97
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98
+ 132, 129, 122.75, 17, 3.03299E-06,
unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z4.txt ADDED
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1
+ NAME III (version 8.2)
2
+ Run name: Taal_273070_20250107041508.174287
3
+ Run time: 07/01/2025 04:15:10.918 UTC
4
+ Met data: NWP Flow.EC HRES Flow
5
+ Start of release: 12/01/2020 06:57 UTC
6
+ End of release: 12/01/2020 21:10 UTC
7
+ Source strength: 5.333333E+08 g / s
8
+ Release location: 120.9930E 14.0020N
9
+ Release height: 311.000 to 15311.000m asl
10
+ Run duration: 7day 0hr 0min
11
+ X grid origin: 90.00000
12
+ Y grid origin: -15.00000
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+ X grid size: 281
14
+ Y grid size: 221
15
+ X grid resolution: 0.2500000
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+ Y grid resolution: 0.2500000
17
+ Number of preliminary cols: 4
18
+ Number of field cols: 1
19
+
20
+ Fields:
21
+ , , , , VOLCANIC,
22
+ , , , , AirConc Ash,
23
+ , , , , Air Concentration,
24
+ , , , , VOLCANIC_ASH,
25
+ , , , , g / m^3,
26
+ , , , , All sources,
27
+ , , , , No ensemble averaging,
28
+ , , , , 1hr 0min average,
29
+ , , , , No horizontal averaging,
30
+ , , , , No vertical averaging,
31
+ , , , , ,
32
+ , , , , ,
33
+ , , , , ,
34
+ , , , , 12/01/2020 14:00 UTC,
35
+ , , , , Z = 7000 m agl,
36
+ , , , , ,
37
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38
+ 125, 117, 121, 14, 0.1234117,
39
+ 125, 118, 121, 14.25, 0.01902798,
40
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41
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42
+ 125, 121, 121, 15, 5.191433E-05,
43
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44
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45
+ 126, 119, 121.25, 14.5, 0.04336735,
46
+ 126, 120, 121.25, 14.75, 0.00239888,
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unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z5.txt ADDED
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1
+ NAME III (version 8.2)
2
+ Run name: Taal_273070_20250107041508.174287
3
+ Run time: 07/01/2025 04:15:10.918 UTC
4
+ Met data: NWP Flow.EC HRES Flow
5
+ Start of release: 12/01/2020 06:57 UTC
6
+ End of release: 12/01/2020 21:10 UTC
7
+ Source strength: 5.333333E+08 g / s
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+ Release location: 120.9930E 14.0020N
9
+ Release height: 311.000 to 15311.000m asl
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+ Run duration: 7day 0hr 0min
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+ X grid origin: 90.00000
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+ Y grid origin: -15.00000
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+ X grid resolution: 0.2500000
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+ Number of field cols: 1
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+
20
+ Fields:
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+ , , , , VOLCANIC,
22
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26
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28
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29
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30
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31
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32
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33
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34
+ , , , , 12/01/2020 14:00 UTC,
35
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unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z6.txt ADDED
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1
+ NAME III (version 8.2)
2
+ Run name: Taal_273070_20250107041508.174287
3
+ Run time: 07/01/2025 04:15:10.918 UTC
4
+ Met data: NWP Flow.EC HRES Flow
5
+ Start of release: 12/01/2020 06:57 UTC
6
+ End of release: 12/01/2020 21:10 UTC
7
+ Source strength: 5.333333E+08 g / s
8
+ Release location: 120.9930E 14.0020N
9
+ Release height: 311.000 to 15311.000m asl
10
+ Run duration: 7day 0hr 0min
11
+ X grid origin: 90.00000
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+ Y grid origin: -15.00000
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+ X grid resolution: 0.2500000
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+ Y grid resolution: 0.2500000
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+ Number of preliminary cols: 4
18
+ Number of field cols: 1
19
+
20
+ Fields:
21
+ , , , , VOLCANIC,
22
+ , , , , AirConc Ash,
23
+ , , , , Air Concentration,
24
+ , , , , VOLCANIC_ASH,
25
+ , , , , g / m^3,
26
+ , , , , All sources,
27
+ , , , , No ensemble averaging,
28
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29
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30
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31
+ , , , , ,
32
+ , , , , ,
33
+ , , , , ,
34
+ , , , , 12/01/2020 14:00 UTC,
35
+ , , , , Z = 11000 m agl,
36
+ , , , , ,
37
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38
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unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z7.txt ADDED
@@ -0,0 +1,297 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ NAME III (version 8.2)
2
+ Run name: Taal_273070_20250107041508.174287
3
+ Run time: 07/01/2025 04:15:10.918 UTC
4
+ Met data: NWP Flow.EC HRES Flow
5
+ Start of release: 12/01/2020 06:57 UTC
6
+ End of release: 12/01/2020 21:10 UTC
7
+ Source strength: 5.333333E+08 g / s
8
+ Release location: 120.9930E 14.0020N
9
+ Release height: 311.000 to 15311.000m asl
10
+ Run duration: 7day 0hr 0min
11
+ X grid origin: 90.00000
12
+ Y grid origin: -15.00000
13
+ X grid size: 281
14
+ Y grid size: 221
15
+ X grid resolution: 0.2500000
16
+ Y grid resolution: 0.2500000
17
+ Number of preliminary cols: 4
18
+ Number of field cols: 1
19
+
20
+ Fields:
21
+ , , , , VOLCANIC,
22
+ , , , , AirConc Ash,
23
+ , , , , Air Concentration,
24
+ , , , , VOLCANIC_ASH,
25
+ , , , , g / m^3,
26
+ , , , , All sources,
27
+ , , , , No ensemble averaging,
28
+ , , , , 1hr 0min average,
29
+ , , , , No horizontal averaging,
30
+ , , , , No vertical averaging,
31
+ , , , , ,
32
+ , , , , ,
33
+ , , , , ,
34
+ , , , , 12/01/2020 14:00 UTC,
35
+ , , , , Z = 13000 m agl,
36
+ , , , , ,
37
+ X Index, Y Index, X (Lat-Long), Y (Lat-Long), ,
38
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unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z8.txt ADDED
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1
+ NAME III (version 8.2)
2
+ Run name: Taal_273070_20250107041508.174287
3
+ Run time: 07/01/2025 04:15:10.918 UTC
4
+ Met data: NWP Flow.EC HRES Flow
5
+ Start of release: 12/01/2020 06:57 UTC
6
+ End of release: 12/01/2020 21:10 UTC
7
+ Source strength: 5.333333E+08 g / s
8
+ Release location: 120.9930E 14.0020N
9
+ Release height: 311.000 to 15311.000m asl
10
+ Run duration: 7day 0hr 0min
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+ Y grid origin: -15.00000
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+ Y grid size: 221
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+ X grid resolution: 0.2500000
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+ Y grid resolution: 0.2500000
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18
+ Number of field cols: 1
19
+
20
+ Fields:
21
+ , , , , VOLCANIC,
22
+ , , , , AirConc Ash,
23
+ , , , , Air Concentration,
24
+ , , , , VOLCANIC_ASH,
25
+ , , , , g / m^3,
26
+ , , , , All sources,
27
+ , , , , No ensemble averaging,
28
+ , , , , 1hr 0min average,
29
+ , , , , No horizontal averaging,
30
+ , , , , No vertical averaging,
31
+ , , , , ,
32
+ , , , , ,
33
+ , , , , ,
34
+ , , , , 12/01/2020 14:00 UTC,
35
+ , , , , Z = 15000 m agl,
36
+ , , , , ,
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38
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unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T10_202001121400_Z9.txt ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ NAME III (version 8.2)
2
+ Run name: Taal_273070_20250107041508.174287
3
+ Run time: 07/01/2025 04:15:10.918 UTC
4
+ Met data: NWP Flow.EC HRES Flow
5
+ Start of release: 12/01/2020 06:57 UTC
6
+ End of release: 12/01/2020 21:10 UTC
7
+ Source strength: 5.333333E+08 g / s
8
+ Release location: 120.9930E 14.0020N
9
+ Release height: 311.000 to 15311.000m asl
10
+ Run duration: 7day 0hr 0min
11
+ X grid origin: 90.00000
12
+ Y grid origin: -15.00000
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+ X grid size: 281
14
+ Y grid size: 221
15
+ X grid resolution: 0.2500000
16
+ Y grid resolution: 0.2500000
17
+ Number of preliminary cols: 4
18
+ Number of field cols: 1
19
+
20
+ Fields:
21
+ , , , , VOLCANIC,
22
+ , , , , AirConc Ash,
23
+ , , , , Air Concentration,
24
+ , , , , VOLCANIC_ASH,
25
+ , , , , g / m^3,
26
+ , , , , All sources,
27
+ , , , , No ensemble averaging,
28
+ , , , , 1hr 0min average,
29
+ , , , , No horizontal averaging,
30
+ , , , , No vertical averaging,
31
+ , , , , ,
32
+ , , , , ,
33
+ , , , , ,
34
+ , , , , 12/01/2020 14:00 UTC,
35
+ , , , , Z = 17000 m agl,
36
+ , , , , ,
37
+ X Index, Y Index, X (Lat-Long), Y (Lat-Long), ,
38
+ 128, 141, 121.75, 20, 2.2032E-05,
39
+ 129, 142, 122, 20.25, 2.206729E-05,
unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T1_202001120500_Z1.txt ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ NAME III (version 8.2)
2
+ Run name: Taal_273070_20250107041508.174287
3
+ Run time: 07/01/2025 04:15:10.918 UTC
4
+ Met data: NWP Flow.EC HRES Flow
5
+ Start of release: 12/01/2020 06:57 UTC
6
+ End of release: 12/01/2020 21:10 UTC
7
+ Source strength: 5.333333E+08 g / s
8
+ Release location: 120.9930E 14.0020N
9
+ Release height: 311.000 to 15311.000m asl
10
+ Run duration: 7day 0hr 0min
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+ X grid origin: 90.00000
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+ Y grid origin: -15.00000
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+ Y grid size: 221
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+ X grid resolution: 0.2500000
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+ Y grid resolution: 0.2500000
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+ Number of preliminary cols: 4
18
+ Number of field cols: 1
19
+
20
+ Fields:
21
+ , , , , VOLCANIC,
22
+ , , , , AirConc Ash,
23
+ , , , , Air Concentration,
24
+ , , , , VOLCANIC_ASH,
25
+ , , , , g / m^3,
26
+ , , , , All sources,
27
+ , , , , No ensemble averaging,
28
+ , , , , 1hr 0min average,
29
+ , , , , No horizontal averaging,
30
+ , , , , No vertical averaging,
31
+ , , , , ,
32
+ , , , , ,
33
+ , , , , ,
34
+ , , , , 12/01/2020 05:00 UTC,
35
+ , , , , Z = 1000 m agl,
36
+ , , , , ,
37
+ X Index, Y Index, X (Lat-Long), Y (Lat-Long), ,
unzipped/Taal_273070_20200112_scenario_yizhou/Taal_273070_20200112_0500_20250107041508.174287/AQOutput_3DField_C1_T1_202001120500_Z10.txt ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ NAME III (version 8.2)
2
+ Run name: Taal_273070_20250107041508.174287
3
+ Run time: 07/01/2025 04:15:10.918 UTC
4
+ Met data: NWP Flow.EC HRES Flow
5
+ Start of release: 12/01/2020 06:57 UTC
6
+ End of release: 12/01/2020 21:10 UTC
7
+ Source strength: 5.333333E+08 g / s
8
+ Release location: 120.9930E 14.0020N
9
+ Release height: 311.000 to 15311.000m asl
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+ Run duration: 7day 0hr 0min
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+ Y grid origin: -15.00000
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+ X grid resolution: 0.2500000
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+ Y grid resolution: 0.2500000
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+ Number of preliminary cols: 4
18
+ Number of field cols: 1
19
+
20
+ Fields:
21
+ , , , , VOLCANIC,
22
+ , , , , AirConc Ash,
23
+ , , , , Air Concentration,
24
+ , , , , VOLCANIC_ASH,
25
+ , , , , g / m^3,
26
+ , , , , All sources,
27
+ , , , , No ensemble averaging,
28
+ , , , , 1hr 0min average,
29
+ , , , , No horizontal averaging,
30
+ , , , , No vertical averaging,
31
+ , , , , ,
32
+ , , , , ,
33
+ , , , , ,
34
+ , , , , 12/01/2020 05:00 UTC,
35
+ , , , , Z = 19000 m agl,
36
+ , , , , ,
37
+ X Index, Y Index, X (Lat-Long), Y (Lat-Long), ,