Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5

Precipitation is a key component of the hydrological cycle and one of the most important variables in weather and climate studies. Accurate and reliable precipitation data are crucial for determining climate trends and variability. In this study, eleven different precipitation datasets are compared,...

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Autores principales:	Birgit Hassler, Axel Lauer
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	precipitation ERA5 WFDE5 ESMValTool Meteorology. Climatology QC851-999
Acceso en línea:	https://doaj.org/article/468fba91e7554df381c8b68ea87e3a4e
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spelling	oai:doaj.org-article:468fba91e7554df381c8b68ea87e3a4e2021-11-25T16:45:05ZComparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE510.3390/atmos121114622073-4433https://doaj.org/article/468fba91e7554df381c8b68ea87e3a4e2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4433/12/11/1462https://doaj.org/toc/2073-4433Precipitation is a key component of the hydrological cycle and one of the most important variables in weather and climate studies. Accurate and reliable precipitation data are crucial for determining climate trends and variability. In this study, eleven different precipitation datasets are compared, six reanalysis and five observational datasets, including the reanalysis datasets ERA5 and WFDE5 from the ECMWF family, to quantify the differences between the widely used precipitation datasets and to identify their particular strengths and shortcomings. The comparisons are focused on the common time period 1983 through 2016 and on monthly, seasonal, and inter-annual times scales in regions representing different precipitation regimes, i.e., the Tropics, the Pacific Inter Tropical Convergence Zone (ITCZ), Central Europe, and the South Asian Monsoon region. For the analysis, satellite-gauge precipitation data from the Global Precipitation Climatology Project (GPCP-SG) are used as a reference. The comparison shows that ERA5 and ERA5-Land are a clear improvement over ERA-Interim and show in most cases smaller biases than the other reanalysis datasets (e.g., around 13% high bias in the Tropics compared to 17% for MERRA-2 and 36% for JRA-55). ERA5 agrees well with observations for Central Europe and the South Asian Monsoon region but underestimates very low precipitation rates in the Tropics. In particular, the tropical ocean remains challenging for reanalyses with three out of four products overestimating precipitation rates over the Atlantic and Indian Ocean.Birgit HasslerAxel LauerMDPI AGarticleprecipitationERA5WFDE5ESMValToolMeteorology. ClimatologyQC851-999ENAtmosphere, Vol 12, Iss 1462, p 1462 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	precipitation ERA5 WFDE5 ESMValTool Meteorology. Climatology QC851-999
spellingShingle	precipitation ERA5 WFDE5 ESMValTool Meteorology. Climatology QC851-999 Birgit Hassler Axel Lauer Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5
description	Precipitation is a key component of the hydrological cycle and one of the most important variables in weather and climate studies. Accurate and reliable precipitation data are crucial for determining climate trends and variability. In this study, eleven different precipitation datasets are compared, six reanalysis and five observational datasets, including the reanalysis datasets ERA5 and WFDE5 from the ECMWF family, to quantify the differences between the widely used precipitation datasets and to identify their particular strengths and shortcomings. The comparisons are focused on the common time period 1983 through 2016 and on monthly, seasonal, and inter-annual times scales in regions representing different precipitation regimes, i.e., the Tropics, the Pacific Inter Tropical Convergence Zone (ITCZ), Central Europe, and the South Asian Monsoon region. For the analysis, satellite-gauge precipitation data from the Global Precipitation Climatology Project (GPCP-SG) are used as a reference. The comparison shows that ERA5 and ERA5-Land are a clear improvement over ERA-Interim and show in most cases smaller biases than the other reanalysis datasets (e.g., around 13% high bias in the Tropics compared to 17% for MERRA-2 and 36% for JRA-55). ERA5 agrees well with observations for Central Europe and the South Asian Monsoon region but underestimates very low precipitation rates in the Tropics. In particular, the tropical ocean remains challenging for reanalyses with three out of four products overestimating precipitation rates over the Atlantic and Indian Ocean.
format	article
author	Birgit Hassler Axel Lauer
author_facet	Birgit Hassler Axel Lauer
author_sort	Birgit Hassler
title	Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5
title_short	Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5
title_full	Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5
title_fullStr	Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5
title_full_unstemmed	Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5
title_sort	comparison of reanalysis and observational precipitation datasets including era5 and wfde5
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/468fba91e7554df381c8b68ea87e3a4e
work_keys_str_mv	AT birgithassler comparisonofreanalysisandobservationalprecipitationdatasetsincludingera5andwfde5 AT axellauer comparisonofreanalysisandobservationalprecipitationdatasetsincludingera5andwfde5
_version_	1718413015609507840

Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5

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