Mesoscale Hydrologic Model based historical streamflow simulation over Europe at 1/16 degree

doi:10.26050/WDCC/mHMbassimEur

Rakovec, Oldrich; Kumar, Rohini

ExperimentDOI
Dischargeflow direction networkmHMriver runoff
Summary
Model runs over Europe were conducted within the ESM project (www.esm-project.net/) for the Frontier Simulations supporting the water and matter fluxes from the European landmass to receiving water bodies (Baltic Sea, Atlantic Ocean and the Mediterranean Sea).
Daily discharge from the mesoscale Hydrologic Model (mHM; Samaniego et al., 2010; Kumar et al., 2013; Code version: git.ufz.de/mhm/mhm git version: 35b5cb1) operated at the spatial resolution of 1/16deg for the simulation period from 1.1.1960-31.12.2022 across the European domain (Longitude -11 to 41 Latitude 35 to 72). Model runs were conducted within the ESM project (www.esm-project.net/) for the Frontier Simulations supporting the water and matter fluxes from the European landmass to receiving water bodies (Baltic Sea, Atlantic Ocean and Mediterranian Sea). Special consideration was given to the coastal cells by filtering out those (bordering) grid cells that do not have 100% landmass (i.e., cells with a significant proportion of water bodies/sea/ocean coverage).
Meteorological forcing data are based on the E-OBS v21e (daily precipitation, temperature, Hofstra et al. 2009), potential evapotranspiration is based on the Hargreaves-Samani method. Soil characteristics are obtained from the global SoilGrids database (Hengtl et al. 2014; the land cover is derived from the Globcover_V2 (http://due.esrin.esa.int/page_globcover.php); geomorphological features are based on the GMTED2010 (Danielson et al., 2011). Model parameterization was constrained using the observed discharge time series from the GRDC stations (https://portal.grdc.bafg.de/), satisfying the following three conditions: gauge LAT>48degN, area> 5000km2, area <170000km2. Multi-basin calibration and validation were employed to check the consistency of model simulations following Rakovec et al., 2016 and Samaniego et al. 2019, as follows. Calibration objective function using KGE, DDS algorithm with 500 iterations, to account for uncertainty in the calibration process and the basin selections, 50 random initial conditions were randomly drawn sub-set of basins (N=6basins). The best parameter set in the cross-validations across 1201 basins was selected for the final run (ID: 542).
A static 2D file of flow direction over Europe at the routing resolution 1/16deg. Internal upscaling to 1/16deg from the higher resolution (1/512deg) done within mHM (Code version: mesoscale Hydrologic Model (git.ufz.de/mhm/mhm git version: 35b5cb1).
Special consideration was given to the coastal cells by filtering out those (bordering) grid cells that do not have 100% landmass (i.e., cells with a significant proportion of water bodies/sea/ocean coverage).
Flow direction network (lat,lon) and routed runoff (time,lat,lon) at 1/16deg are provided as separate datasets.
Meteorological forcing data of the mHM model from 1.1.2020 to 31.12.2022 are based on the E-OBS v26e.
Project
coastDat-Land-Ocean-Fluxes (coastDat - Regional Water and Matter Fluxes at the Land-Ocean Interface)
Contact
Oldrich Rakovec (
 oldrich.rakovec@nullufz.de
 0000-0003-2451-3305)
Spatial Coverage
Longitude -11 to 41 Latitude 35 to 72
Temporal Coverage
1960-01-01 to 2022-12-31 (standard)
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
20.02 GiB (21498648140 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2031-12-12
Find data Export dataset acronyms
Cite as
Rakovec, Oldrich; Kumar, Rohini (2022). Mesoscale Hydrologic Model based historical streamflow simulation over Europe at 1/16 degree. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/mHMbassimEur

BibTeX RIS
Description
Summary:
Findable: 6 of 7 level;
Accessible: 2 of 3 level;
Interoperable: 3 of 4 level;
Reusable: 5 of 10 level
Method
F-UJI online v2.2.1 automated
Method Description
Checks performed by WDCC. Metrics documentation: https://doi.org/10.5281/zenodo.4081213 Metric Version: metrics_v0.5
Method Url
https://www.f-uji.net
Result Date
2022-12-06
Result Date
2022-01-14
Description
1. Number of data sets is correct and > 0: passed;
2. Size of every data set is > 0: passed;
3. The data sets and corresponding metadata are accessible: passed;
4. The data sizes are controlled and correct: passed;
5. The spatial-temporal coverage description (metadata) is consistent to the data, time steps are correct and the time coordinate is continuous: passed;
6. The format is correct: passed;
7. Variable description and data are consistent: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
Method Url
https://www.wdc-climate.de/docs/WDCC_User_Guide_Data_v1.pdf
Result Date
2022-01-14
Contact typePersonORCIDOrganization
Contact
Oldrich Rakovec
0000-0003-2451-3305
Helmholtz Centre for Environmental Research
Author
Oldrich Rakovec
0000-0003-2451-3305
Helmholtz Centre for Environmental Research
Author
Rohini Kumar
0000-0002-4396-2037
Helmholtz Centre for Environmental Research
Investigator
Oldrich Rakovec
0000-0003-2451-3305
Helmholtz Centre for Environmental Research
Metadata
Oldrich Rakovec
0000-0003-2451-3305
Helmholtz Centre for Environmental Research
Metadata
Rohini Kumar
0000-0002-4396-2037
Helmholtz Centre for Environmental Research

Is documented by

[1] DOI Danielson, Jeffrey J.; Gesch, Dean B. (2011). Global multi-resolution terrain elevation data 2010 (GMTED2010). doi:10.3133/ofr20111073
[2] DOI Hengl, Tomislav; de Jesus, Jorge Mendes; MacMillan, Robert A.; Batjes, Niels H.; Heuvelink, Gerard B. M.; Ribeiro, Eloi; Samuel-Rosa, Alessandro; Kempen, Bas; Leenaars, Johan G. B.; Walsh, Markus G.; Gonzalez, Maria Ruiperez. (2014). SoilGrids1km — Global Soil Information Based on Automated Mapping. doi:10.1371/journal.pone.0105992
[3] DOI Hofstra, Nynke; Haylock, Malcolm; New, Mark; Jones, Phil D. (2009). Testing E-OBS European high-resolution gridded data set of daily precipitation and surface temperature. doi:10.1029/2009jd011799
[4] DOI Kumar, Rohini; Samaniego, Luis; Attinger, Sabine. (2013). Implications of distributed hydrologic model parameterization on water fluxes at multiple scales and locations. doi:10.1029/2012wr012195
[5] DOI Rakovec, Oldrich; Kumar, Rohini; Mai, Juliane; Cuntz, Matthias; Thober, Stephan; Zink, Matthias; Attinger, Sabine; Schäfer, David; Schrön, Martin; Samaniego, Luis. (2016). Multiscale and Multivariate Evaluation of Water Fluxes and States over European River Basins. doi:10.1175/jhm-d-15-0054.1
[6] DOI Samaniego, Luis; Kumar, Rohini; Attinger, Sabine. (2010). Multiscale parameter regionalization of a grid-based hydrologic model at the mesoscale. doi:10.1029/2008wr007327
[7] DOI Samaniego, Luis; Thober, Stephan; Wanders, Niko; Pan, Ming; Rakovec, Oldrich; Sheffield, Justin; Wood, Eric F.; Prudhomme, Christel; Rees, Gwyn; Houghton-Carr, Helen; Fry, Matthew; Smith, Katie; Watts, Glenn; Hisdal, Hege; Estrela, Teodoro; Buontempo, Carlo; Marx, Andreas; Kumar, Rohini. (2020). Hydrological Forecasts and Projections for Improved Decision-Making in the Water Sector in Europe. doi:10.1175/bams-d-17-0274.1

Is compiled by

[1] DOI Samaniego, Luis et al. (2021). mesoscale Hydrologic Model - mHM v5.11.2. doi:10.5281/zenodo.1069202

Attached Datasets ( 2 )

Details for selected entry

Parent project(s)

coastDat - Regional Water and Matter Fluxes at the Land-Ocean Interface

[Entry acronym: mHMbassimEur] [Entry id: 3892980]