Assessment of ERA5 and ERA-Interim in Reproducing Mean and Extreme Climates over West Africa
Assessment of ERA5 and ERA-Interim in Reproducing Mean and Extreme Climates over West Africa作者机构:Department of Meteorology and Climate ScienceFederal University of Technology AkureP.M.B.704 Ilesa-Owo ExpresswayAkureOndo State 340420Nigeria Department of Water Resources Management and Agro-MeteorologyFederal University Oye-Ekiti371104Nigeria Canadian Network for Regional Climate and Weather ProcessesUniversity of Quebec at Montreal201 President-Kennedy AvenueMontrealQC H2X 3Y7Canada Division of Mitigation and AdaptationGreen Climate FundIncheon 22004South Korea
出 版 物:《Advances in Atmospheric Sciences》 (大气科学进展(英文版))
年 卷 期:2023年第40卷第4期
页 面:570-586页
核心收录:
学科分类:07[理学] 070601[理学-气象学] 0706[理学-大气科学] 0816[工学-测绘科学与技术] 0825[工学-航空宇航科学与技术]
基 金:U.S. Geological Survey, USGS University of California, Santa Barbara, UCSB University of East Anglia, UEA European Centre for Medium-Range Weather Forecasts, ECMWF
主 题:West Africa ERAI ERA5 reanalysis precipitation temperature extremes
摘 要:In situ data in West Africa are scarce,and reanalysis datasets could be an alternative source to alleviate the problem of data ***,because of uncertainties in numerical prediction models and assimilation methods,among other things,existing reanalysis datasets can perform with various degrees of quality and ***,a proper assessment of their shortcomings and strengths should be performed prior to their *** this study,we examine the performance of ERA5 and ERA-interim(ERAI)products in representing the mean and extreme climates over West Africa for the period 1981-2018 using observations from CRU and *** major conclusion is that ERA5 showed a considerable decrease in precipitation and temperature biases and an improved representation of inter-annual variability in much of western ***,the annual cycle is better captured by ERA5 in three of the region’s climatic zones;specifically,precipitation is well-reproduced in the Savannah and Guinea Coast,and temperature in the *** terms of extremes,the ERA5 performance is ***,both reanalyses underestimate the intensity and frequency of heavy precipitations and overestimate the number of wet days,as the numerical models used in reanalyses tend to produce drizzle more *** ERA5 performs better than ERAI,both datasets are less successful in capturing the observed long-term *** ERA5 has achieved considerable progress compared to its predecessor,improved datasets with better resolution and accuracy continue to be needed in sectors like agriculture and water resources to enable climate impact assessment.