Rameshwaran, P.; Bell, V.A.; Brown, M.J.; Davies, H.N.
Historical (1950-2014) and projected (2015-2100) hydrological model (HMF-WA) estimates of monthly mean and annual maximum river flows across West Africa driven by CMIP6 projected climate data
Cite this dataset as:
Rameshwaran, P.; Bell, V.A.; Brown, M.J.; Davies, H.N. (2022). Historical (1950-2014) and projected (2015-2100) hydrological model (HMF-WA) estimates of monthly mean and annual maximum river flows across West Africa driven by CMIP6 projected climate data. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/346124fd-a0c6-490f-b5af-eaccbb26ab6b
Download/Access
PLEASE NOTE: By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
This dataset is available under the terms of the Open Government Licence
Download the dataBulk download options
You can use WGET to download data. For example
wget --user=YOUR_USERNAME --password=YOUR_PASSWORD --auth-no-challenge https://catalogue.ceh.ac.uk/datastore/eidchub/346124fd-a0c6-490f-b5af-eaccbb26ab6b
https://doi.org/10.5285/346124fd-a0c6-490f-b5af-eaccbb26ab6b
This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1 × 0.1 deg grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2014) and projected future (2015 to 2100) periods. This dataset is the output from the Hydrological Modelling Framework for West Africa, or “HMF-WA” model. The ensembles correspond to CMIP6 (Coupled Model Inter-comparison Project Phase 6) historical and three projected future climate scenarios (SSP126, SSP245 and SSP585) with two future scenarios of water use. The scenarios of water use are (i) future water use that varies in line with projected population increases, and (ii) future water use is the same as present day. This dataset is an output from the regional scale hydrological modelling study from African Monsoon Multidisciplinary Analysis-2050 (AMMA-2050) project.
Publication date: 2022-02-21
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
NetCDF
Spatial information
Study area
Spatial representation type
Raster
Spatial reference system
WGS 84
Temporal information
Temporal extent
1950-01-01 to 2014-12-31
2015-01-01 to 2100-12-31
Provenance & quality
The monthly mean and annual maximum river flows estimates are output from the Hydrological Modelling Framework for West Africa, or “HMF-WA” model. The climatic inputs to the model were bias-corrected CMIP6 daily precipitation and potential evaporation derived from bias-corrected CMIP6 daily temperature data. See Supporting Information for more details.
Licensing and constraints
This dataset is available under the terms of the Open Government Licence
Cite this dataset as:
Rameshwaran, P.; Bell, V.A.; Brown, M.J.; Davies, H.N. (2022). Historical (1950-2014) and projected (2015-2100) hydrological model (HMF-WA) estimates of monthly mean and annual maximum river flows across West Africa driven by CMIP6 projected climate data. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/346124fd-a0c6-490f-b5af-eaccbb26ab6b
Related
Related datasets
Citations
Alliance Bioversity International and CIAT, AICCRA, AGNES. 2023. Climate Resilient Agriculture Development Pathways for the Agriculture sector in Senegal. AICCRA Report. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA). https://hdl.handle.net/10568/128307
Correspondence/contact details
Rameshwaran, P.
UK Centre for Ecology & Hydrology
Maclean Building, Benson Lane, Crowmarsh Gifford
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
enquiries@ceh.ac.uk
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
Authors
Other contacts
Rights holder
UK Centre for Ecology & Hydrology
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk