A Global Perspective of Tropical Cyclone Precipitation in Reanalyses
This study compares the spread in climatological tropical cyclone (TC) precipitation across eight different reanalysis datasets: NCEP-CFSR, ERA-20C, ERA-40, ERA5, ERA-Interim, JRA-55, MERRA-2, and NOAA-20C. TC precipitation is assigned using manual tracking via a fixed 500-km radius from each TC cen...
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Veröffentlicht in: | Journal of climate 2021-11, Vol.34 (21), p.8461-8480 |
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description | This study compares the spread in climatological tropical cyclone (TC) precipitation across eight different reanalysis datasets: NCEP-CFSR, ERA-20C, ERA-40, ERA5, ERA-Interim, JRA-55, MERRA-2, and NOAA-20C. TC precipitation is assigned using manual tracking via a fixed 500-km radius from each TC center. The reanalyses capture similar general spatial patterns of TC precipitation and TC precipitation fraction, defined as the fraction of annual precipitation assigned to TCs, and the spread in TC precipitation is larger than the spread in total precipitation across reanalyses. The spread in TC precipitation relative to the inter-reanalysis mean TC precipitation, or relative spread, is larger in the east Pacific than in the west Pacific. Partitioned by reanalysis intensity, the largest relative spread across reanalyses in TC precipitation is from high-intensity TCs. In comparison with satellite observations, reanalyses show lower climatological mean annual TC precipitation over most areas. A comparison of area-averaged precipitation rate in TCs composited over reanalysis intensity shows the spread across reanalyses is larger for higher intensity TCs. Testing the sensitivity of TC precipitation assignment to tracking method shows that climatological mean annual TC precipitation is systematically larger when assigned via manual tracking versus objective tracking. However, this tendency is minimized when TC precipitation is normalized by TC density. Overall, TC precipitation in reanalyses is affected by not only horizontal output resolution or any TC preprocessing, but also data assimilation and parameterization schemes. The results indicate that improvements in the representation of TCs and their precipitation in reanalyses are needed to improve overall precipitation. |
doi_str_mv | 10.1175/JCLI-D-20-0892.1 |
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TC precipitation is assigned using manual tracking via a fixed 500-km radius from each TC center. The reanalyses capture similar general spatial patterns of TC precipitation and TC precipitation fraction, defined as the fraction of annual precipitation assigned to TCs, and the spread in TC precipitation is larger than the spread in total precipitation across reanalyses. The spread in TC precipitation relative to the inter-reanalysis mean TC precipitation, or relative spread, is larger in the east Pacific than in the west Pacific. Partitioned by reanalysis intensity, the largest relative spread across reanalyses in TC precipitation is from high-intensity TCs. In comparison with satellite observations, reanalyses show lower climatological mean annual TC precipitation over most areas. A comparison of area-averaged precipitation rate in TCs composited over reanalysis intensity shows the spread across reanalyses is larger for higher intensity TCs. Testing the sensitivity of TC precipitation assignment to tracking method shows that climatological mean annual TC precipitation is systematically larger when assigned via manual tracking versus objective tracking. However, this tendency is minimized when TC precipitation is normalized by TC density. Overall, TC precipitation in reanalyses is affected by not only horizontal output resolution or any TC preprocessing, but also data assimilation and parameterization schemes. The results indicate that improvements in the representation of TCs and their precipitation in reanalyses are needed to improve overall precipitation.</description><identifier>ISSN: 0894-8755</identifier><identifier>EISSN: 1520-0442</identifier><identifier>DOI: 10.1175/JCLI-D-20-0892.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Annual precipitation ; Climatological means ; Climatology ; Cyclones ; Data assimilation ; Data collection ; Hurricanes ; Parameterization ; Precipitation ; Precipitation rate ; Satellite observation ; Sensitivity analysis ; Tracking ; Tropical climate ; Tropical cyclones</subject><ispartof>Journal of climate, 2021-11, Vol.34 (21), p.8461-8480</ispartof><rights>2021 American Meteorological Society</rights><rights>Copyright American Meteorological Society Nov 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-d8d7600f7587bca3e49aece7fc57e9abd1ecf1c4b67984ba41c063b90647cb1d3</citedby><cites>FETCH-LOGICAL-c293t-d8d7600f7587bca3e49aece7fc57e9abd1ecf1c4b67984ba41c063b90647cb1d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/27202132$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/27202132$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,3668,27901,27902,57992,58225</link.rule.ids></links><search><creatorcontrib>Jones, Evan</creatorcontrib><creatorcontrib>Wing, Allison A.</creatorcontrib><creatorcontrib>Parfitt, Rhys</creatorcontrib><title>A Global Perspective of Tropical Cyclone Precipitation in Reanalyses</title><title>Journal of climate</title><description>This study compares the spread in climatological tropical cyclone (TC) precipitation across eight different reanalysis datasets: NCEP-CFSR, ERA-20C, ERA-40, ERA5, ERA-Interim, JRA-55, MERRA-2, and NOAA-20C. TC precipitation is assigned using manual tracking via a fixed 500-km radius from each TC center. The reanalyses capture similar general spatial patterns of TC precipitation and TC precipitation fraction, defined as the fraction of annual precipitation assigned to TCs, and the spread in TC precipitation is larger than the spread in total precipitation across reanalyses. The spread in TC precipitation relative to the inter-reanalysis mean TC precipitation, or relative spread, is larger in the east Pacific than in the west Pacific. Partitioned by reanalysis intensity, the largest relative spread across reanalyses in TC precipitation is from high-intensity TCs. In comparison with satellite observations, reanalyses show lower climatological mean annual TC precipitation over most areas. A comparison of area-averaged precipitation rate in TCs composited over reanalysis intensity shows the spread across reanalyses is larger for higher intensity TCs. Testing the sensitivity of TC precipitation assignment to tracking method shows that climatological mean annual TC precipitation is systematically larger when assigned via manual tracking versus objective tracking. However, this tendency is minimized when TC precipitation is normalized by TC density. Overall, TC precipitation in reanalyses is affected by not only horizontal output resolution or any TC preprocessing, but also data assimilation and parameterization schemes. The results indicate that improvements in the representation of TCs and their precipitation in reanalyses are needed to improve overall precipitation.</description><subject>Annual precipitation</subject><subject>Climatological means</subject><subject>Climatology</subject><subject>Cyclones</subject><subject>Data assimilation</subject><subject>Data collection</subject><subject>Hurricanes</subject><subject>Parameterization</subject><subject>Precipitation</subject><subject>Precipitation rate</subject><subject>Satellite observation</subject><subject>Sensitivity analysis</subject><subject>Tracking</subject><subject>Tropical climate</subject><subject>Tropical cyclones</subject><issn>0894-8755</issn><issn>1520-0442</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNo9kFFLwzAUhYMoOKfvvggBnzOTNGnax9HpnAwcMp9Dkt5CRm1q0gn797ZMfLrcw3fuPRyE7hldMKbk01u13ZAV4ZTQouQLdoFmTE6bEPwSzUZRkEJJeY1uUjpQynhO6QytlnjdBmtavIOYenCD_wEcGryPofdu1KuTa0MHeBfB-d4PZvChw77DH2A6054SpFt01Zg2wd3fnKPPl-d99Uq27-tNtdwSx8tsIHVRq_Fpo2ShrDMZiNKAA9U4qaA0tmbgGuaEzVVZCGsEczTPbElzoZxldTZHj-e7fQzfR0iDPoRjHEMkzXMl84JxLkaKnikXQ0oRGt1H_2XiSTOqp6701JVeaU711JVmo-XhbDmkIcR_nitOOct49gvNcWZd</recordid><startdate>20211101</startdate><enddate>20211101</enddate><creator>Jones, Evan</creator><creator>Wing, Allison A.</creator><creator>Parfitt, Rhys</creator><general>American Meteorological Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>20211101</creationdate><title>A Global Perspective of Tropical Cyclone Precipitation in Reanalyses</title><author>Jones, Evan ; Wing, Allison A. ; Parfitt, Rhys</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-d8d7600f7587bca3e49aece7fc57e9abd1ecf1c4b67984ba41c063b90647cb1d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Annual precipitation</topic><topic>Climatological means</topic><topic>Climatology</topic><topic>Cyclones</topic><topic>Data assimilation</topic><topic>Data collection</topic><topic>Hurricanes</topic><topic>Parameterization</topic><topic>Precipitation</topic><topic>Precipitation rate</topic><topic>Satellite observation</topic><topic>Sensitivity analysis</topic><topic>Tracking</topic><topic>Tropical climate</topic><topic>Tropical cyclones</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jones, Evan</creatorcontrib><creatorcontrib>Wing, Allison A.</creatorcontrib><creatorcontrib>Parfitt, Rhys</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Journal of climate</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jones, Evan</au><au>Wing, Allison A.</au><au>Parfitt, Rhys</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Global Perspective of Tropical Cyclone Precipitation in Reanalyses</atitle><jtitle>Journal of climate</jtitle><date>2021-11-01</date><risdate>2021</risdate><volume>34</volume><issue>21</issue><spage>8461</spage><epage>8480</epage><pages>8461-8480</pages><issn>0894-8755</issn><eissn>1520-0442</eissn><abstract>This study compares the spread in climatological tropical cyclone (TC) precipitation across eight different reanalysis datasets: NCEP-CFSR, ERA-20C, ERA-40, ERA5, ERA-Interim, JRA-55, MERRA-2, and NOAA-20C. TC precipitation is assigned using manual tracking via a fixed 500-km radius from each TC center. The reanalyses capture similar general spatial patterns of TC precipitation and TC precipitation fraction, defined as the fraction of annual precipitation assigned to TCs, and the spread in TC precipitation is larger than the spread in total precipitation across reanalyses. The spread in TC precipitation relative to the inter-reanalysis mean TC precipitation, or relative spread, is larger in the east Pacific than in the west Pacific. Partitioned by reanalysis intensity, the largest relative spread across reanalyses in TC precipitation is from high-intensity TCs. In comparison with satellite observations, reanalyses show lower climatological mean annual TC precipitation over most areas. A comparison of area-averaged precipitation rate in TCs composited over reanalysis intensity shows the spread across reanalyses is larger for higher intensity TCs. Testing the sensitivity of TC precipitation assignment to tracking method shows that climatological mean annual TC precipitation is systematically larger when assigned via manual tracking versus objective tracking. However, this tendency is minimized when TC precipitation is normalized by TC density. Overall, TC precipitation in reanalyses is affected by not only horizontal output resolution or any TC preprocessing, but also data assimilation and parameterization schemes. The results indicate that improvements in the representation of TCs and their precipitation in reanalyses are needed to improve overall precipitation.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/JCLI-D-20-0892.1</doi><tpages>20</tpages></addata></record> |
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subjects | Annual precipitation Climatological means Climatology Cyclones Data assimilation Data collection Hurricanes Parameterization Precipitation Precipitation rate Satellite observation Sensitivity analysis Tracking Tropical climate Tropical cyclones |
title | A Global Perspective of Tropical Cyclone Precipitation in Reanalyses |
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