Bias-Corrected and raw CORDEX-AFRICA daily precipitation for Burkina Faso - ICHEC-EC-EARTH_rcp45_r12i1p1_MPI-CSC-REMO2009_v1 - RCP 4.5 (20060101-21001231)

Bias-corrected data set of daily precipitation for a study region in Burkina Faso and parts of Ghana, Togo and Benin.

The precipitation simulations of the CORDEX Africa ensemble have been bias-corrected with a geostatistically based Quantile-Mapping with dry day correction.

The distribution parameters probability of rainfall and mean precipitation on wet days were Kriged to the ungauged locations from the observed parameters of point measurements (172 stations in total) for nine season (dry season NDJF and remaining eight months individually).

Observed precipitation was modelled with the exponential distribution, RCM precipitation was modeled with a Kernel Density Estimation of the CDF.

Future scenarios were bias-corrected with the Double-Quantile-Mapping approach presented in http://onlinelibrary.wiley.com/doi/10.1029/2010WR009689/abstract

All models were stretched to the Gregorian calendar (original CORDEX-RCMs are available as 360d/a, 365d/a and 365.25d/a) to facilitate running impact models.

- Historical period: 1950-2005 (exception: SMHI-models start 1951) - calibration period

- Future period: 2006-2100 (exception: models driven by HadGEM2 end 2099) - validation period

- Temporal resolution: daily

- Spatial resolution: 0.44°

This is a test version - please inform me about any potential problems you may have with the data via manuel.lorenz@geo.uni-augsburg.de

Date (Revision): 2018-10-25

Presentation form: Digital table

Purpose: Agricultural impact studies

Hydrological modelling

Climate change adapation

Credit: Harald Kunstmann, KIT/IMK-IFU, Germany and Institut fuer Geographie, Universitaet Augsburg, Germany

Patrick Laux, KIT/IMK-IFU, Germany

Jan Bliefernicht, Institut fuer Geographie, Universitaet Augsburg, Germany

Status: Completed

Author

Institute of Geography, University of Augsburg - Manuel Lorenz ( )

Theme

precipitation
CORDEX
bias correction
climate change

Region

Western Africa
Burkina Faso
Ghana
Togo
Benin

Access constraints: Copyright

Use constraints: License

Other constraints: Publication in progress.

Currently, download is only allowed to registered members of WASCAL, including Graduate Studies Program, CoC staff members, and partners of affiliated research programs as far as authorized by the WASCAL headquarter. An account in the Data Portal is required for download.

Use restrictions are:

- The data must not be re-distributed to unauthorized persons as defined by the data provider;

- The data can be copied and processed to create derivations by the authorized persons;

- If a publication results from using the data, the user agrees to cite the data provider and/or give credit to the data provider, or, as scientifically appropriate, provide co-authorship to the data provider based on any direct contribution s/he may make to the research

- A publication is in progress, further information can be found in the EGU conference contribution http://meetingorganizer.copernicus.org/EGU2017/EGU2017-18296.pdf

Citation:

Lorenz, M., Bliefernicht, J., Kunstmann, H. and P. Laux (2017): Bias-Corrected and raw CORDEX-AFRICA daily precipitation for Burkina Faso - ICHEC-EC-EARTH_rcp45_r12i1p1_MPI-CSC-REMO2009_v1 - RCP 4.5 (20060101-21001231). https://wascal-dataportal.org/geonetwork/?uuid=acd9c743-4908-41f9-8b3a-601be4f037c5

Metadata language: English

Topic category

Climatology, meteorology, atmosphere

Begin date: 2006-01-01

End date: 2100-12-31

Reference system identifier: EPSG / WGS 84 (EPSG:4326) / 7.9

Distribution format

Distributor

Distributor

WASCAL (West African Science Service Center on Climate Change and Adapted Land Use) -

OnLine resource: prBC_AFR-44_REMO2009_0.44_EC-EARTH_RCP45_20060101-21001231.rar ( WWW:DOWNLOAD-1.0-http--download )
File to download

Hierarchy level: Dataset

Statement: The study region is sparsely gauged. To avoid bias correcting with remote stations, the observed distribution at the ungauged locations was estimated by Kriging the parameters of the exponential distribution (probability of rainfall and mean precipitation on wet days) from 172 stations to the centers of 173 grid cells.

The distribution parameters were calculated and interpolated for nine seasons (dry season NDJF and remaining eight months individually).

With the interpolated parameters, virtual observations were simulated for the period 1950-2005 at every location.

RCM precipitation was fitted with a Kernel Density Estimated CDF for the period 1950-2005.

Future precipitation uses the historical RCM CDF (Double-Quantile-Mapping: http://onlinelibrary.wiley.com/doi/10.1029/2010WR009689/abstract ) and the same threshold for the dry day correction as in the historical period. This procedure leads to a different distribution of precipitation in the future period (climate change signal).