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Data · dataset · 2018

Boxplot of climate indices consisting of 8 climate models with the ensemble mean for different climatic station in the Komadugou-Yobe basin, Lake Chad region, West Africa

Listed in Teesside University Research Data Repository

The data is the result of 8 GCMs dynamically downscaled by RCA4 regional climate model (RCM).

Description

The GCMs considered are CanESM2, CNRM-CM5, EC-EARTH, GFDL-ESM2M, HadGEM2-ES, MIROC5, MPI-ESM-LR, NorESM1-M. The results from the RCM is bias-corrected using the quantile mapping approach at station scale. The results of the climate indices generated by the 8 GCMs and the ensemble mean are plotted to generate the level of uncertainty of the models.

The climate indices considered are rx5day, cdd, cwd, r95p, r99p, prctot, dtr, tx10p,tx90p,tn10p, tn90p and wsdi. The climate indices were generated for 2020-2050 and 2060-2090 under RCP 4.5 and RCP 8.5

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Climate model simulation 65%
Provenance · 1 source records, 7 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/97p2x3hjst.114 h agoJSON v1
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concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[method].local:method:climate-modelenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
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