Data · collection · 2019
Simulated future discharge and climatological variables for medium-sized catchments in Switzerland
Listed in NASA Earthdata CMR
Daily discharge and the related hydro-meteorological variables precipitation, snowmelt, and soil moisture are provided for current (1981-2017) and for future climate conditions (1981-2100) for 307 medium-sized catchments in Switzerland.
Description
The catchments have a median catchment area of 117 km². The 307 catchments together form a set representative of the climatological conditions and runoff characteristics in Switzerland.
The four variables were simulated at a daily resolution using the hydrological model PREVAH. PREVAH is a conceptual process-based model that was run in this study in its fully distributed version on a 500 m grid (Viviroli et al. 2009a). For the calibration, runoff time series from 140 mesoscale catchments covering the different runoff regimes were used.
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The model calibration was conducted over the period 1993-1997. Verification was performed on the period 1983-2005 using (i) volumetric deviation (Viviroli et al. 2007) and (ii) benchmark efficiency (Schäfli et al 2007) as objective functions. The calibration and validation procedures are described in detail in Köplin et al. (2010).
The parameters for each model grid cell were derived by regionalizing the parameters obtained for the 140 catchments with a procedure based on ordinary kriging (Viviroli et al. 2009b, Köplin et al. 2010). The calibrated and validated model was then driven with transient meteorological data (precipitation, temperature, radiation, and wind) representing both reference (1981-2017) and future climate conditions (2018-2099).
The data were derived from the CH2018 climate scenarios (NCCS 2018) provided by the Swiss National Centre for Climate Services (NCCS). They were obtained from climate experiments produced with different climate modeling chains, consisting of a global and a regional circulation model each, within EUROCORDEX for three representative concentration pathways (RCP) emission scenarios. Downscaled output of ten climate model chains derived by quantile mapping were considered.
The focus was on the chains of the EUR-11 domain with a horizontal resolution of 0.11 degrees (roughly 12.5 km). The climate model chains (GCM, RCM, RCP, and grid resolution) used are listed below: - ICHEC-EC-EARTH DMI-HIRHAM5 2.6 EUR-11 - ICHEC-EC-EARTH DMI-HIRHAM5 4.5 EUR-11 - ICHEC-EC-EARTH DMI-HIRHAM5 8.5 EUR-11 - ICHEC-EC-EARTH SMHI-RCA4 2.6 EUR-11 - ICHEC-EC-EARTH SMHI-RCA4 4.5 EUR-11 - ICHEC-EC-EARTH SMHI-RCA4 8.5 EUR-11 - MOHC-HadGEM2-ES SMHI-RCA4 4.5 EUR-11 - MOHC-HadGEM2-ES SMHI-RCA4 8.5 EUR-11 - MPI-M-MPI-ESM-LR SMHI-RCA4 4.5 EUR-11 - MPI-M-MPI-ESM-LR SMHI-RCA4 8.5 EUR-11 __*References*__: - Köplin, N., D. Viviroli, B. Schädler, and R. Weingartner (2010), _How does climate change affect mesoscale catchments in Switzerland? - A framework for a comprehensive assessment_, Advances in Geosciences, 27, 111-119, doi:10.5194/adgeo-27-111-2010. - National Centre for Climate Services (2018), CH2018 - _Climate Scenarios for Switzerland_, Tech. rep., NCCS, Zurich. - Schäfli, B., and H. V. Gupta (2007), _Do Nash values have value?_, Hydrological Processes, 21, 2075-2080, doi:10.1002/hyp.6825. - Viviroli, D., J. Gurtz, and M. Zappa (2007), _The hydrological modelling system PREVAH.
Part II - Physical model description_, Geographica Bernensia, 40, 1-89. - Viviroli, D., M. Zappa, J. Gurtz, and R. Weingartner (2009a), _An introduction to the hydrological modelling system PREVAH and its pre- and post-processing-tools_, Environmental Modelling & Software, 24, 1209-1222, doi:10.1016/j.envsoft.2009.04.001. - Viviroli, D., H. Mittelbach, J. Gurtz, and R. Weingartner (2009b), _Continuous simulation for flood estimation in ungauged mesoscale catchments of Switzerland-Part II: Parameter regionalisation and flood estimation results_, Journal of Hydrology, 377 (1), 208-225, doi:10.1016/j.jhydrol.2009.08.022.
Links
Where it is published
- DOI doi.org/10.16904/envidat.57 ↗
DOI / persistent id · from NASA CMR
Documentation and papers
- VIEW RELATED INFORMATION envidat.ch/dataset/simulated-future-discharge-and-climatological-variables ↗
documentation · from NASA CMR
- GET RELATED VISUALIZATION envidat.ch/envidat_thumbnail.png ↗
preview image · from NASA CMR
Catalogue records · 2
- CMR UMM-JSON cmr.earthdata.nasa.gov/search/concepts/C2789817564-ENVIDAT.umm_json ↗
metadata API · from NASA CMR
- CMR record cmr.earthdata.nasa.gov/search/concepts/C2789817564-ENVIDAT.html ↗
catalogue entry · from NASA CMR
Topics
- Stated by source
- Not provided · Surface Water
- Inferred from text
- Climate change science 72% · Climate model simulation 65% · Simulation 75%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NASA Earthdata CMR | C2789817564-ENVIDAT | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[field].anzsrc:group:3702 | enrichment · NASA CMR | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[measured_variable].gcmd:earth-science/terrestrial-hydrosphere/surface-water | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[method].local:method:climate-model | enrichment · NASA CMR | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[method].local:method:simulation | enrichment · NASA CMR | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[platform].gcmd_platform:not-provided | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| created_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| description | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/Abstract |
| license_text | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| publication_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| spatial | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/SpatialExtent |
| title | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/EntryTitle |
| updated_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| version_label | source · NASA CMR | connector:nasa_cmr@1.0.0 |