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Regional Climate Change Projections for CORDEX-Africa

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Overview
Dataset Title Regional Climate Change Projections for CORDEX-Africa ?
Abstract Five regional climate change projections conducted with the regional climate model REMO for the CORDEX-Africa domain (entire African continent).

INPUT DATA: In order to define the specific set of GCM simulations, to be downscaled, analyses of the full multi-model multi-scenario ensemble of GCM projec-tions from the CMIP5 database, as well as the sub-ensemble of global projections already downscaled within the CORDEX AFRICA initiative, were conducted. In total 78 climate projections from different GCMs and emission scenarios (RCP2.6, RCP4.5, RCP8.5) were analysed. For each RCP, the mean changes for temperature and precipitation over southern Africa were calculated for the far-future (2071-2100), respective to refer-ence period (1971-2000). To obtain an overview of the projected temperature and precipitation changes from all global mod-el projections, the results of these simulations were merged into an annual scatterplot of mean changes, as depicted on the right. Thereby, each dot represents one GCM simulation; the coloured symbols indicate the global climate projections, which were already downscaled by RCMs from dif-ferent GCMs and different scenarios. The specific GCM simulations, which were identified to be downscaled by the regional climate model REMO, are marked by black framed symbols.
FINDINGS: The results depicted in the attached scatterplot show that the already downscaled global climate projections cover a wide range of climate change signals for the medium (RCP4.5) and high emission scenario (RCP8.5), but only a small number of downscaled global climate projections are available for the low emission scenario (RCP2.6), which were therefore in the focus of our downscaling activity. Meanwhile, the identified five climate projections have al-ready been downscaled by the regional climate model REMO and have been made available at the Earth System Grid Feder-ation (ESGF). The Figure depicts the projected precipitation change from REMO for the DJF season for the end of the century (2070-2099), respective to the reference period (1971-2000). In addition, the five new simulations, conducted within the SASSCAL project (framed in red) are included, as well as four already existing REMO projections. With respect to SASSCAL, the predominant patterns of projected change in DJF (December, January, February) precipitation tend towards a decrease in the region, encompassing southern Angola, Zambia, Namibia and Botswana, whereas for the south-eastern parts of South Africa and central Angola, an increase is projected.
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Topic Category climatologyMeteorologyAtmosphere ?
Parameter precipitation, pressure , radiation (total incoming), temperature ?
Temporal Extent
Begin 1950-01-01 ?
End 2100-12-31 ?
Time Step daily ?
Dataset Description
Dataset Contact Person or Dataset Contact Organisation GERICS - Climate Service Center Germany ?
Dataset Date Type creation ?
Dataset Reference Date 2016-01-01 ?
Dataset Language English ?
Dataset Character Set utf8 ?
Dataset Online Name AFR-44, CORDEX, GERICS, REMO ?
Dataset Online Linkage https://esgf-data.dkrz.de/search/cordex-dkrz/ ?
Dataset Format netCDF ?
Dataset Scope dataset ?
Dataset Status completed ?
Associated project SASSCAL (Phase 1) ?
Subproject 006 Expanding the database for a robust regional climate change assessment and uncertainty analysis ?
Geographic Location
Western-most Longitude -24.64 ?
Eastern-most Longitude 60.28 ?
Southern-most Latitude -45.76 ?
Northern-most Latitude 42.24 ?
Geographic Description Africa ?
Spatial Resolution
Spatial Representation Type grid ?
Equivalent Scale -1 ?
Coordinate System
EPSG WGS 84 (lat/long) ?
Data Quality
Processing Downscaling of general circulation models (GCMs) with the regional climate model REMO ?
Additional Extent Information
Vertical Datum WGS84 ?
Metadata
Metadata Contact Person Weber, Torsten ?
Metadata Language English ?
Metadata Character Set utf8 ?
Metadata Standard Name ISO/DIS 19115 for Geographic information-Metadata /RBIS ?
Metadata Date Stamp 2018-03-19 ?
Identifier
Internal identifier sdp_st_spacetime_5760 (Link)