2026-10-10T05:12:13Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33999849 2026-09-25T17:46:23Z category_272 category_873 category_39 category_45 category_734 portal_5 item_type_3 month_year_09_2026

<p>Performance of Bias Correction Methods Across Stations for Monthly Precipitation.</p> Felicia Yeboah (25111557) Afua Owusu (25111560) Mansoor Leh (25111563) Komlavi Akpoti (14596961) Kirubel Mekonnen (25111566) Elias Muluken Adamseged (25111569) Emma Odera (25111572) Naga Velpuri (25111575) Environmental Sciences not elsewhere classified Chemical Sciences not elsewhere classified Ecology Sociology Biological Sciences not elsewhere classified yet observational networks dominant error source veget &# 8211 systematic bias remains following bias correction 92 &# 8211 85 &# 8211 80 &# 8211 52 &# 8211 45 &# 8211 2012 &# 8211 17 &# 8211 05 &# 8211 situ observations across mswep consistently outperformed based bias correction water resources management kenya &# 8217 mswep recorded rmse global hydrological products 23 mm ). consistently positive 0 chirps achieved rmse modelled discharge data raised precipitation nse water management correcting bias &# 8722 modelled stream hydrological modelling based rainfall streamflow data 66 mm 26 mm halving rmse discharge data showed station random forest quantile mapping performing spp operational reliability one station nonlinear biases monthly scale machine learning <p>Performance of Bias Correction Methods Across Stations for Monthly Precipitation.</p> 2026-09-25T17:45:55Z Dataset Dataset 10.1371/journal.pwat.0000623.t008 https://figshare.com/articles/dataset/_p_Performance_of_Bias_Correction_Methods_Across_Stations_for_Monthly_Precipitation_p_/33999849 CC BY 4.0