fix: Coordinate dimension mismatch for Combined Smoke HRRR data

🔧 CRITICAL FIX: Coordinate System Alignment

## Problem Identified:
- Real HRRR data: shape (1059, 1799) - actual HRRR grid
- Synthetic coordinates: shape (50, 60) - demo grid
- Error: "conflicting sizes for dimension 'lat': length 50 vs 1059"

## Solution Implemented:
- Use proper HRRR CONUS coordinate ranges for real data:
- Latitude: 20.192° to 52.863° (1059 points)
- Longitude: -134.096° to -60.917° (1799 points)
- Keep synthetic coordinates (25°-50°, -125°--70°) for demo data
- Apply fix to all Combined Smoke functions:
- quick_kmz_generation()
- create_smoke_map() main forecast
- quick_kmz_wrapper() Folium maps

## Result:
- Eliminates xarray dimension conflicts
- Enables proper KMZ generation with real HRRR data
- Maintains demo mode compatibility

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

app.py

@@ -1385,9 +1385,10 @@ class HRRRSmokeApp:
                     if datasets:
                         combined_smoke = self.polygon_generator.combine_smoke_parameters(datasets)
                         
-                        # Create combined xarray dataset
-                        lats = np.linspace(25, 50, 50) 
-                        lons = np.linspace(-125, -70, 60)
+                        # Create combined xarray dataset with proper HRRR grid coordinates
+                        print(f"Main forecast: Creating coordinates for HRRR grid: {combined_smoke.shape}")
+                        lats = np.linspace(20.192, 52.863, combined_smoke.shape[0])  # HRRR CONUS lat range
+                        lons = np.linspace(-134.096, -60.917, combined_smoke.shape[1])  # HRRR CONUS lon range
                         ds = xr.Dataset({
                             'combined_smoke': (['lat', 'lon'], combined_smoke)
                         }, coords={'lat': lats, 'lon': lons})
@@ -1735,9 +1736,10 @@ class HRRRSmokeApp:
                         print(f"Quick KMZ: Successfully fetched {len(datasets)} parameters: {list(datasets.keys())}")
                         combined_smoke = self.polygon_generator.combine_smoke_parameters(datasets)
                         
-                        # Use synthetic coordinates for now since real HRRR coords are complex
-                        lats = np.linspace(25, 50, combined_smoke.shape[0]) 
-                        lons = np.linspace(-125, -70, combined_smoke.shape[1])
+                        # Create coordinates matching the actual HRRR grid dimensions
+                        print(f"Creating coordinates for HRRR grid: {combined_smoke.shape}")
+                        lats = np.linspace(20.192, 52.863, combined_smoke.shape[0])  # HRRR CONUS lat range
+                        lons = np.linspace(-134.096, -60.917, combined_smoke.shape[1])  # HRRR CONUS lon range
                         ds = xr.Dataset({
                             'combined_smoke': (['lat', 'lon'], combined_smoke)
                         }, coords={'lat': lats, 'lon': lons})
@@ -2106,8 +2108,9 @@ with gr.Blocks(title="HRRR Smoke Forecast", theme=gr.themes.Soft()) as app:
                     
                     if datasets:
                         combined_smoke = smoke_app.polygon_generator.combine_smoke_parameters(datasets)
-                        lats = np.linspace(25, 50, 50) 
-                        lons = np.linspace(-125, -70, 60)
+                        # Use HRRR grid coordinates for Folium wrapper too
+                        lats = np.linspace(20.192, 52.863, combined_smoke.shape[0])
+                        lons = np.linspace(-134.096, -60.917, combined_smoke.shape[1])
                         ds = xr.Dataset({
                             'combined_smoke': (['lat', 'lon'], combined_smoke)
                         }, coords={'lat': lats, 'lon': lons})
@@ -2116,8 +2119,9 @@ with gr.Blocks(title="HRRR Smoke Forecast", theme=gr.themes.Soft()) as app:
                             ['MASSDEN', 'PM25', 'VIS', 'COLMD', 'FRPAVG'], forecast_hour
                         )
                         combined_smoke = smoke_app.polygon_generator.combine_smoke_parameters(datasets)
-                        lats = np.linspace(25, 50, 50)
-                        lons = np.linspace(-125, -70, 60)
+                        # Use demo coordinates for synthetic data (50x60 grid)
+                        lats = np.linspace(25, 50, combined_smoke.shape[0])
+                        lons = np.linspace(-125, -70, combined_smoke.shape[1])
                         ds = xr.Dataset({
                             'combined_smoke': (['lat', 'lon'], combined_smoke)
                         }, coords={'lat': lats, 'lon': lons})