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data_29_10_2024_25m/README.md ADDED
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1
+ ---
2
+ license: cc-by-4.0
3
+ tags:
4
+ - simulation
5
+ - geospatial
6
+ ---
7
+
8
+ # Simulation Dataset
9
+
10
+ This dataset was dynamically generated via an automated Python pipeline for use in a C++ flood simulation environment.
11
+
12
+ ## Source Data and Third-Party Licenses
13
+
14
+ This dataset is a derived work generated by processing and aggregating the following open data sources:
15
+
16
+ **1. Digital Elevation Model (25m)**
17
+ * **Source:** Instituto Geográfico Nacional (IGN) / Sistema Cartográfico Nacional (España)
18
+ * **License:** CC BY 4.0 (Creative Commons Attribution 4.0 International)
19
+ * **Attribution:** Obra derivada de MDT25-cob2 2015-2021 CC-BY 4.0 scne.es
20
+ * **Processing:** The original elevation data was automatically fetched via WCS and processed by a Python pipeline.
21
+
22
+ **2. High-Resolution Land Cover System of Spain (SIOSE AR)**
23
+ * **Source:** Instituto Geográfico Nacional (IGN) / Sistema Cartográfico Nacional (España)
24
+ * **License:** CC BY 4.0 (Creative Commons Attribution 4.0 International)
25
+ * **Attribution:** Obra derivada de sioseAR 2020 CC-BY 4.0 scne.es
26
+ * **Processing:** The original elevation data was automatically fetched via WCS and processed by a Python pipeline.
27
+
28
+ **3. Initial Standing Water Depth**
29
+ * **Source:** Internal Pipeline Generation
30
+ * **License:** CC BY 4.0
31
+ * **Attribution:** Generated as part of the flood simulation pipeline.
32
+ * **Processing:** Set to zero for initial conditions; no external data sources directly used.
33
+
34
+ **4. Rainfall Data (SAIH)**
35
+ * **Source:** Confederación Hidrográfica del Júcar (CHJ) / Ministerio para la Transición Ecológica
36
+ * **License:** CC BY 4.0 / Condiciones de Reutilización (Ley 37/2007)
37
+ * **Attribution:** Source of the data: Sistema Automático de Información Hidrológica (SAIH) - Confederación Hidrográfica del Júcar.
38
+ * **Processing:** The raw rain gauge data was extracted, filtered by time window, and spatially interpolated using Kriging to generate a dynamic spatiotemporal precipitation raster. The statistical meaning of the original meteorological data has not been distorted.
39
+
40
+ **5. EMODnet Digital Bathymetry (DTM)**
41
+ * **Source:** EMODnet Bathymetry Consortium / European Union
42
+ * **License:** CC BY 4.0 (Creative Commons Attribution 4.0 International)
43
+ * **Attribution:** © European Union, 1995-2026. EMODnet Bathymetry Consortium.
44
+ * **Processing:** The original bathymetric data was cropped to the simulation bounding box, reprojected, and mathematically merged with the IGN topography to create a continuous Topo-Bathy surface.
45
+
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+ ref. units : m
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