How well does ERA5 simulate the timing of Antarctic precipitation: A comparison with present and past weather reports

>Reanalyses are especially useful in providing climatic information in remote and inhospitable regions, such as the Antarctic continent. While there are relatively few direct measurements from Antarctica to assess the accuracy of reanalyses in simulating precipitation at sub-daily frequencies, pr...

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Main Authors: Marshall, G., Clelland, A.
Format: Conference Object
Language:English
Published: 2023
Subjects:
Online Access:https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016800
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spelling ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_5016800 2023-06-11T04:04:13+02:00 How well does ERA5 simulate the timing of Antarctic precipitation: A comparison with present and past weather reports Marshall, G. Clelland, A. 2023 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016800 eng eng info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-0688 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016800 XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) info:eu-repo/semantics/conferenceObject 2023 ftgfzpotsdam https://doi.org/10.57757/IUGG23-0688 2023-05-07T23:38:37Z >Reanalyses are especially useful in providing climatic information in remote and inhospitable regions, such as the Antarctic continent. While there are relatively few direct measurements from Antarctica to assess the accuracy of reanalyses in simulating precipitation at sub-daily frequencies, present and past weather reports from meteorological stations allow a quantitative assessment of the skill of reanalyses in getting the correct timing of precipitation. This is an important consideration when it comes to utilising reanalyses to examine extreme precipitation events or in interpreting climate signals in ice cores. Here, we use a forecast verification methodology based on non-probabilistic forecasts of discrete predictands – that is, simply, there is precipitation or there isn’t - to examine the capability of ERA5 to correctly reproduce the timing of Antarctic precipitation at a 6-hourly temporal resolution. The assessment is undertaken by comparing reanalysis output to 20-years of present and past weather reports at six Antarctic meteorological stations. Using three different ‘definitions’ of precipitation in ERA5 (>0.0 mm, >0.1 mm, >1.0 mm) across a 6-hourly period, we examine how these impact on scalar attributes of the forecast skill, such as accuracy, bias, reliability, discrimination, and the Peirce Skill Score. Unsurprisingly, the precipitation definition that provides the best skill is different for an Antarctic Plateau station, where small amounts of precipitation predominantly fall as diamond dust, and coastal stations, which have greater precipitation associated with frontal systems. We also investigate whether there is any seasonal variability in the skill of ERA5 to reproduce sub-daily frequency Antarctic precipitation. Conference Object Antarc* Antarctic Antarctica GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) Antarctic The Antarctic
institution Open Polar
collection GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)
op_collection_id ftgfzpotsdam
language English
description >Reanalyses are especially useful in providing climatic information in remote and inhospitable regions, such as the Antarctic continent. While there are relatively few direct measurements from Antarctica to assess the accuracy of reanalyses in simulating precipitation at sub-daily frequencies, present and past weather reports from meteorological stations allow a quantitative assessment of the skill of reanalyses in getting the correct timing of precipitation. This is an important consideration when it comes to utilising reanalyses to examine extreme precipitation events or in interpreting climate signals in ice cores. Here, we use a forecast verification methodology based on non-probabilistic forecasts of discrete predictands – that is, simply, there is precipitation or there isn’t - to examine the capability of ERA5 to correctly reproduce the timing of Antarctic precipitation at a 6-hourly temporal resolution. The assessment is undertaken by comparing reanalysis output to 20-years of present and past weather reports at six Antarctic meteorological stations. Using three different ‘definitions’ of precipitation in ERA5 (>0.0 mm, >0.1 mm, >1.0 mm) across a 6-hourly period, we examine how these impact on scalar attributes of the forecast skill, such as accuracy, bias, reliability, discrimination, and the Peirce Skill Score. Unsurprisingly, the precipitation definition that provides the best skill is different for an Antarctic Plateau station, where small amounts of precipitation predominantly fall as diamond dust, and coastal stations, which have greater precipitation associated with frontal systems. We also investigate whether there is any seasonal variability in the skill of ERA5 to reproduce sub-daily frequency Antarctic precipitation.
format Conference Object
author Marshall, G.
Clelland, A.
spellingShingle Marshall, G.
Clelland, A.
How well does ERA5 simulate the timing of Antarctic precipitation: A comparison with present and past weather reports
author_facet Marshall, G.
Clelland, A.
author_sort Marshall, G.
title How well does ERA5 simulate the timing of Antarctic precipitation: A comparison with present and past weather reports
title_short How well does ERA5 simulate the timing of Antarctic precipitation: A comparison with present and past weather reports
title_full How well does ERA5 simulate the timing of Antarctic precipitation: A comparison with present and past weather reports
title_fullStr How well does ERA5 simulate the timing of Antarctic precipitation: A comparison with present and past weather reports
title_full_unstemmed How well does ERA5 simulate the timing of Antarctic precipitation: A comparison with present and past weather reports
title_sort how well does era5 simulate the timing of antarctic precipitation: a comparison with present and past weather reports
publishDate 2023
url https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016800
geographic Antarctic
The Antarctic
geographic_facet Antarctic
The Antarctic
genre Antarc*
Antarctic
Antarctica
genre_facet Antarc*
Antarctic
Antarctica
op_source XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
op_relation info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-0688
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016800
op_doi https://doi.org/10.57757/IUGG23-0688
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