{"title":"ERA5 Reproduces Key Features of Global Precipitation Trends in A Warming Climate","authors":"Omon A. Obarein, Cameron C. Lee","doi":"10.1002/joc.8877","DOIUrl":null,"url":null,"abstract":"<p>The largest impact of future climate changes on societies and ecosystems will likely come from precipitation variability and change. Using the ERA5 dataset, this global study examines precipitation trends using many precipitation parameters across five main components: precipitation amount, precipitation frequency, precipitation type, wet and dry spells, and precipitation extremes. Global trends are summarised by land and ocean areas, by climate region, and then zonally averaged to identify broader precipitation patterns and interactions that may not be apparent in local and regional scale studies, especially with a reanalysis dataset. We find that the ERA5 dataset was able to reproduce key features of precipitation change: the near-ubiquitous increase in extreme precipitation, the increase in Arctic precipitation, the transition from snowfall to a rainfall regime in mid-to high latitudes, and the contrasting sign of change in precipitation amount and frequency between land and ocean. Two noteworthy findings from the ERA5 dataset are that (1) spatial intensification of extreme precipitation around the warmest locations (equatorial region) is not matched by temporal intensification around the warmest time of year (summer months) in the northern hemisphere, and (2) the Himalayas show altitudinal stratification of precipitation phase changes. Finally, consistent with other studies, we find that synoptic weather types may influence the scaling of extreme precipitation with temperature and should be explored in future research. Additionally, ERA5 results are compared to those from GPCC, GPCP, and MERRA-2 precipitation datasets to evaluate the robustness of the results. Daily, annual, and seasonal means, including inter-annual variability of ERA5 precipitation estimates align strongly with those of the three validation datasets; however, trends show mixed results, with minimal to moderate agreement. In general, trends in GPCC precipitation are most similar to those of ERA5.</p>","PeriodicalId":13779,"journal":{"name":"International Journal of Climatology","volume":"45 9","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/joc.8877","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Climatology","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/joc.8877","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The largest impact of future climate changes on societies and ecosystems will likely come from precipitation variability and change. Using the ERA5 dataset, this global study examines precipitation trends using many precipitation parameters across five main components: precipitation amount, precipitation frequency, precipitation type, wet and dry spells, and precipitation extremes. Global trends are summarised by land and ocean areas, by climate region, and then zonally averaged to identify broader precipitation patterns and interactions that may not be apparent in local and regional scale studies, especially with a reanalysis dataset. We find that the ERA5 dataset was able to reproduce key features of precipitation change: the near-ubiquitous increase in extreme precipitation, the increase in Arctic precipitation, the transition from snowfall to a rainfall regime in mid-to high latitudes, and the contrasting sign of change in precipitation amount and frequency between land and ocean. Two noteworthy findings from the ERA5 dataset are that (1) spatial intensification of extreme precipitation around the warmest locations (equatorial region) is not matched by temporal intensification around the warmest time of year (summer months) in the northern hemisphere, and (2) the Himalayas show altitudinal stratification of precipitation phase changes. Finally, consistent with other studies, we find that synoptic weather types may influence the scaling of extreme precipitation with temperature and should be explored in future research. Additionally, ERA5 results are compared to those from GPCC, GPCP, and MERRA-2 precipitation datasets to evaluate the robustness of the results. Daily, annual, and seasonal means, including inter-annual variability of ERA5 precipitation estimates align strongly with those of the three validation datasets; however, trends show mixed results, with minimal to moderate agreement. In general, trends in GPCC precipitation are most similar to those of ERA5.
期刊介绍:
The International Journal of Climatology aims to span the well established but rapidly growing field of climatology, through the publication of research papers, short communications, major reviews of progress and reviews of new books and reports in the area of climate science. The Journal’s main role is to stimulate and report research in climatology, from the expansive fields of the atmospheric, biophysical, engineering and social sciences. Coverage includes: Climate system science; Local to global scale climate observations and modelling; Seasonal to interannual climate prediction; Climatic variability and climate change; Synoptic, dynamic and urban climatology, hydroclimatology, human bioclimatology, ecoclimatology, dendroclimatology, palaeoclimatology, marine climatology and atmosphere-ocean interactions; Application of climatological knowledge to environmental assessment and management and economic production; Climate and society interactions