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    Intercomparison of Precipitation Estimates Over the Southern Ocean from Atmospheric Reanalyses

    Source: Journal of Climate:;2020:;volume( ):;issue: -::page 1
    Author:
    Boisvert, Linette N.;Webster, Melinda A.;Petty, Alek A.;Markus, Thorsten;Cullather, Richard I.;Bromwich, David H.
    DOI: 10.1175/JCLI-D-20-0044.1
    Publisher: American Meteorological Society
    Abstract: Precipitation is a major component of the hydrologic cycle and plays a significant role in the sea-ice mass balance in the polar regions. Over the Southern Ocean, precipitation is particularly uncertain due to the lack of direct observations in this remote and harsh environment. Here we demonstrate that precipitation estimates from 8 global reanalyses produce similar spatial patterns between 2000-2010, although their annual means vary by about 250 mm yr-1 (or 26 percent of the median values) and there is little similarity in their representation of interannual variability. ERA-Interim produces the smallest and CFSR produces the largest amount of precipitation overall. Rainfall and snowfall are partitioned in five reanalyses; snowfall suffers from the same issues as the total precipitation comparison, with ERA-Interim producing about 128 mm less snowfall and JRA-55 about 103 mm more rainfall compared to the other reanalyses. When compared to CloudSat-derived snowfall, these five reanalyses indicate similar spatial patterns, but differ in their magnitude. All reanalyses indicate precipitation on nearly every day of the year, with spurious values occurring on an average of about 60 days yr-1 resulting in an accumulation of about 4.5 mm yr-1. While similarities in spatial patterns among the reanalyses suggest a convergence, the large spread in magnitudes points to issues with the background models in adequately reproducing precipitation rates, and the differences in the model physics employed. Further improvements to model physics are required to achieve confidence in precipitation rate, as well as the phase and frequency of precipitation in these products.
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      Intercomparison of Precipitation Estimates Over the Southern Ocean from Atmospheric Reanalyses

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    contributor authorBoisvert, Linette N.;Webster, Melinda A.;Petty, Alek A.;Markus, Thorsten;Cullather, Richard I.;Bromwich, David H.
    date accessioned2022-01-30T17:58:59Z
    date available2022-01-30T17:58:59Z
    date copyright10/22/2020 12:00:00 AM
    date issued2020
    identifier issn0894-8755
    identifier otherjclid200044.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264299
    description abstractPrecipitation is a major component of the hydrologic cycle and plays a significant role in the sea-ice mass balance in the polar regions. Over the Southern Ocean, precipitation is particularly uncertain due to the lack of direct observations in this remote and harsh environment. Here we demonstrate that precipitation estimates from 8 global reanalyses produce similar spatial patterns between 2000-2010, although their annual means vary by about 250 mm yr-1 (or 26 percent of the median values) and there is little similarity in their representation of interannual variability. ERA-Interim produces the smallest and CFSR produces the largest amount of precipitation overall. Rainfall and snowfall are partitioned in five reanalyses; snowfall suffers from the same issues as the total precipitation comparison, with ERA-Interim producing about 128 mm less snowfall and JRA-55 about 103 mm more rainfall compared to the other reanalyses. When compared to CloudSat-derived snowfall, these five reanalyses indicate similar spatial patterns, but differ in their magnitude. All reanalyses indicate precipitation on nearly every day of the year, with spurious values occurring on an average of about 60 days yr-1 resulting in an accumulation of about 4.5 mm yr-1. While similarities in spatial patterns among the reanalyses suggest a convergence, the large spread in magnitudes points to issues with the background models in adequately reproducing precipitation rates, and the differences in the model physics employed. Further improvements to model physics are required to achieve confidence in precipitation rate, as well as the phase and frequency of precipitation in these products.
    publisherAmerican Meteorological Society
    titleIntercomparison of Precipitation Estimates Over the Southern Ocean from Atmospheric Reanalyses
    typeJournal Paper
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-20-0044.1
    journal fristpage1
    journal lastpage70
    treeJournal of Climate:;2020:;volume( ):;issue: -
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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