five

Assessing high-resolution numerical models and bottom-boundary impacts for a Mediterranean heavy precipitation event

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DataCite Commons2025-09-12 更新2026-04-25 收录
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https://dataverse.csuc.cat/citation?persistentId=doi:10.34810/data2539
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The following dataset is composed of observational and post-processed data, numerical modelling outputs, and the Python scripts (.py) necessary to reproduce the findings and figures presented in our study "Assessing high-resolution numerical models and bottom-boundary impacts for a Mediterranean heavy precipitation event". The quantitative precipitation estimates over Catalonia/Francoí River basin are available in the form of binary rasters (YYMMDDhhmm_pcp1h/pcp10min_Catalonia/Francoli_QPEs.flt). Due to storage concerns, only the W1 (wrfout_d0X_YYYY-MM-DD_hhmmss.nc) and T5 (YYMMDDhhmmss_SURFACE_RAINTOTnG.grd) mesoscale weather simulations from the WRF and TRAM models, respectively, are provided. However, in order to facilitate the replication of the WRF ensemble, and the subsequent sensitivity experiments, the namelist.wps and namelist.input files also present, along with the ERA5 and IFS grid data from the ECMWF to generate the initial and lateral conditions (ERA5/ECMWF_AN_YYYYMMDD_hhmm_pl/sfc). In similar manner, only the precipitation rasters derived from the mesoscale simulations W1 and T5 are available (YYMMDDhhmm_pcp1h_Catalonia/Francoli_W1/T5.flt). Nevertheless, the scripts to generate these files from the outputs of WRF and TRAM are supplied, thereby enabling users to reproduce the missing data by themselves. KLEM hydrological simulations utilise the basin-specific precipitation rasters to estimate the streamflow at the Tarragona city stream-gauge station. Outputs from the hydrological model are stored as spreadsheet files (KLEM_output_X.xlsx). Lastly, the spatial performances of each of the ensembles' members' rainfall fields are directly provided through generic data files (spatial_stats_Catalonia/Francoli_WRF/TRAM.dat), to facilitate the replication of the Taylor Diagrams.
提供机构:
CORA.Repositori de Dades de Recerca
创建时间:
2025-09-06
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