Name:
Urban pluvial flood simulations – Lucerne (ETH Zurich)
Description:
DEM, rainfall patterns, and peak flood water depth rasters for three catchment areas (744, luzern, portugal). Includes synthetic design-storm scenarios, selected real-event outputs for Portugal, and trained machine-learning models based on the simulation results.
Total files:
123
File size:
744,192 KB
π Dataset
π inputs
π terrain
π 744_dem.asc.gz
π luzern_dem.asc.gz
π portugal_dem.asc.gz
π rainfall
π synthetic
π 744_rain_pattern_str.txt
π luzern_rain_pattern_str.txt
π portugal_rain_pattern_str.txt
π real
π portugal_rain_pattern_real.txt
π metadata
π metadata.xlsx
π models
π ml
π code
π featureExtraction.py
π interactive_predictor.ipynb
π load_data.py
π lossPloter.py
π nn.py
π nn_model.py
π nn_model_new.py
π tensorflow_parser.py
π train_and_test_256.py
π train_and_test_256_plot_histogram.py
π trained_models
π coimbra_256_features
π -39.data-00000-of-00001
π -39.index
π -39.meta
π -79.data-00000-of-00001
π -79.index
π -79.meta
π checkpoint
π luzern_256_features
π -39.data-00000-of-00001
π -39.index
π -39.meta
π -79.data-00000-of-00001
π -79.index
π -79.meta
π checkpoint
π luzern_256_neg_pos
π -39.data-00000-of-00001
π -39.index
π -39.meta
π -79.data-00000-of-00001
π -79.index
π -79.meta
π checkpoint
π luzern_256_zero_one
π -39.data-00000-of-00001
π -39.index
π -39.meta
π -79.data-00000-of-00001
π -79.index
π -79.meta
π checkpoint
π zurich_256_features
π -39.data-00000-of-00001
π -39.index
π -39.meta
π -79.data-00000-of-00001
π -79.index
π -79.meta
π checkpoint
π outputs
π hydraulic
π real
π portugal
π waterdepth
π 09-06-06_WDraster.asc
π 21-09-08_WDraster.asc
π 29-04-11_WDraster.asc
π synthetic
π 744
π waterdepth
π 744_tr2_WDraster_PEAK.asc.gz
π 744_tr2-2_WDraster_PEAK.asc.gz
π 744_tr2-3_WDraster_PEAK.asc.gz
π 744_tr5_WDraster_PEAK.asc.gz
π 744_tr5-2_WDraster_PEAK.asc.gz
π 744_tr5-3_WDraster_PEAK.asc.gz
π 744_tr10_WDraster_PEAK.asc.gz
π 744_tr10-2_WDraster_PEAK.asc.gz
π 744_tr10-3_WDraster_PEAK.asc.gz
π 744_tr20_WDraster_PEAK.asc.gz
π 744_tr20-2_WDraster_PEAK.asc.gz
π 744_tr20-3_WDraster_PEAK.asc.gz
π 744_tr50_WDraster_PEAK.asc.gz
π 744_tr50-2_WDraster_PEAK.asc.gz
π 744_tr50-3_WDraster_PEAK.asc.gz
π 744_tr100_WDraster_PEAK.asc.gz
π 744_tr100-2_WDraster_PEAK.asc.gz
π 744_tr100-3_WDraster_PEAK.asc.gz
π luzern
π waterdepth
π luzern_tr2_WDraster_PEAK.asc.gz
π luzern_tr2-2_WDraster_PEAK.asc.gz
π luzern_tr2-3_WDraster_PEAK.asc.gz
π luzern_tr5_WDraster_PEAK.asc.gz
π luzern_tr5-2_WDraster_PEAK.asc.gz
π luzern_tr5-3_WDraster_PEAK.asc.gz
π luzern_tr10_WDraster_PEAK.asc.gz
π luzern_tr10-2_WDraster_PEAK.asc.gz
π luzern_tr10-3_WDraster_PEAK.asc.gz
π luzern_tr20_WDraster_PEAK.asc.gz
π luzern_tr20-2_WDraster_PEAK.asc.gz
π luzern_tr20-3_WDraster_PEAK.asc.gz
π luzern_tr50_WDraster_PEAK.asc.gz
π luzern_tr50-2_WDraster_PEAK.asc.gz
π luzern_tr50-3_WDraster_PEAK.asc.gz
π luzern_tr100_WDraster_PEAK.asc.gz
π luzern_tr100-2_WDraster_PEAK.asc.gz
π luzern_tr100-3_WDraster_PEAK.asc.gz
π portugal
π waterdepth
π portugal_tr2_WDraster.asc.gz
π portugal_tr2-2_WDraster.asc.gz
π portugal_tr2-3_WDraster.asc.gz
π portugal_tr5_WDraster.asc.gz
π portugal_tr5-2_WDraster.asc.gz
π portugal_tr5-3_WDraster.asc.gz
π portugal_tr10_WDraster.asc.gz
π portugal_tr10-2_WDraster.asc.gz
π portugal_tr10-3_WDraster.asc.gz
π portugal_tr20_WDraster.asc.gz
π portugal_tr20-2_WDraster.asc.gz
π portugal_tr20-3_WDraster.asc.gz
π portugal_tr50_WDraster.asc.gz
π portugal_tr50-2_WDraster.asc.gz
π portugal_tr50-3_WDraster.asc.gz
π portugal_tr100_WDraster.asc.gz
π portugal_tr100-2_WDraster.asc.gz
π portugal_tr100-3_WDraster.asc.gz
π ml
π luzern_256_features_epoch_loss.csv
π luzern_256_features_batch_loss.csv
π zurich_256_features_epoch_loss.csv
π coimbra_256_features_epoch_loss.csv
