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info:srw/schema/1/example-v1.1
xml:ISO19139:F
de.dkrz.wdcc.iso3889839
series
SaWaM_WRF_phys_par_comb_r16
Dr. Patrick Laux
Karlsruhe Institute of Technology
author
Dr. Patrick Laux
Karlsruhe Institute of Technology
pointOfContact
Dr. Patrick Laux
Karlsruhe Institute of Technology
originator
2021-08-06T04:29:35
ISO 19115
ISO 19139 / DKRZ ISO Simple Profile V1.0
http://doi.org/doi:10.26050/WDCC/SaWaM_WRF_phys_par_comb_r16
SaWaM WRF physics parameterization scheme combination #16 (RUN16)
SaWaM WRF physics parameterization scheme combination #16 (RUN16)
2021-07-15
creation
None
SaWaM WRF physics parameterization scheme combination #16 (RUN16)
doi:10.26050/WDCC/SaWaM_WRF_phys_par_comb_r16
Dr. Patrick Laux
Karlsruhe Institute of Technology
originator
doi:10.26050/WDCC/SaWaM_WRF_phys_par_comb_r16
While climate information from General Circulation Models (GCMs) are usually too coarse for climate impact modelers or decision makers from various disciplines (e.g., hydrology, agriculture), Regional Climate Models (RCMs) and Regional Earth System Models (RESMs) provide feasible solutions for downscaling GCM output to finer spatiotemporal scales. However, it is well known that the model performance depends largely on the choice of the physical parameterization schemes, but optimal configurations may vary from region to region. Besides land-surface processes, the most crucial processes to be parameterized in ESMs include radiation (RA), cumulus convection (CU), cloud microphysics (MP), and planetary boundary layer (PBL), partly with complex interactions. Before conducting long-term climate simulations, it is therefore indispensable to identify a suitable combination of physics parameterization schemes for these processes. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis product ERA-Interim as lateral boundary conditions, we derived an ensemble of 16 physics parameterization runs for a larger domain in Northern sub-Saharan Africa (NSSA), northwards of the equator, using two different CU-, MP-, PBL-, and RA schemes, respectively, using the Weather Research and Forecasting (WRF) model (Version v3.9) for the period 2006-2010 in a resolution of 0.1 degree horizontal resolution.
Conclusions about suitable physical parameterization schemes may vary within the study area. We therefore want to stimulate the development of own performance evaluation studies for climate simulations or subsequent impact studies over specific (sub-)regions in NSSA. For this reason, selected climate surface variables of the physics ensemble (i.e. the 16 experiments from 2006-2010) are provided.
For more information about the setup of the experiments, please see:
Laux et al., 2021: A high-resolution regional climate model physics ensemble for Northern sub-Saharan Africa. Frontiers in Earth Science (under revision).
Dr. Patrick Laux
Karlsruhe Institute of Technology
author
Dr. Patrick Laux
Karlsruhe Institute of Technology
pointOfContact
eng
-18.6
47.6
0.0
22.6
2006-01-01
2010-12-31
0
air_potential_temperature
modelResult
not filled
air_temperature
modelResult
not filled
eastward_wind
modelResult
not filled
heat_flux_at_ground
modelResult
not filled
northward_wind
modelResult
not filled
precipitation_amount
modelResult
not filled
soil_moisture
modelResult
not filled
soil_temperature
modelResult
not filled
specific_humidity
modelResult
not filled
surface_air_pressure
modelResult
not filled
surface_runoff_flux
modelResult
not filled
surface_upward_latent_heat_flux
modelResult
not filled
surface_upward_moisture_flux
modelResult
not filled
surface_upward_sensible_heat_flux
modelResult
not filled
underground_runoff_flux
modelResult
not filled
NetCDF
network Common Data Format
distributor
Mb
27486
http://doi.org/doi:10.26050/WDCC/SaWaM_WRF_phys_par_comb_r16
series
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de.dkrz.wdcc.iso3889839
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https://sru.dwd.de/SRU2JDBC/