Thailand Daily Rainfall and Comparison with TRMM Products
Daily rainfall data collected from more than 100 gauges over Thailand for the period 1993–2002 are used to study the climatology and spatial and temporal characteristics of Thailand rainfall variations. Comparison of the Thailand gauge (TG) data binned at 1° × 1° with the Global Precipitation Climat...
Gespeichert in:
| Veröffentlicht in: | Journal of hydrometeorology 2008-04, Vol.9 (2), p.256-266 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 266 |
|---|---|
| container_issue | 2 |
| container_start_page | 256 |
| container_title | Journal of hydrometeorology |
| container_volume | 9 |
| creator | Chokngamwong, Roongroj Chiu, Long S. |
| description | Daily rainfall data collected from more than 100 gauges over Thailand for the period 1993–2002 are used to study the climatology and spatial and temporal characteristics of Thailand rainfall variations. Comparison of the Thailand gauge (TG) data binned at 1° × 1° with the Global Precipitation Climatology Centre (GPCC) monitoring product shows a small bias (1.11%), and the differences can be reconciled in terms of the increased number of stations in the TG dataset. Comparison of daily TG with Tropical Rainfall Measuring Mission (TRMM) version 6 (V6) 3B42 rain estimates shows improvements over version 5 (V5) in terms of bias and mean absolute difference (MAD). The V5 is computed from the adjusted Geostationary Operational Environmental Satellite (GOES) precipitation index (AGPI) and V6 is computed using the TRMM Multisatellite Precipitation Analysis (TMPA) algorithm. The V6 histogram is much closer to that of TG than V5 in terms of rain fraction and conditional rain rates. Scatterplots show that both versions of the satellite products are deficient in capturing heavy rain events. In terms of detecting rain events, a critical success index (CSI) shows no difference between V6 and V5 3B42. The CSI for V6 is higher for the rainy season than the dry season. These results are generally insensitive to rain-rate threshold and averaging periods. The temporal and spatial autocorrelation of daily rain rates for TG, V6, and V5 3B42 are computed. Autocorrelation function analyses show improved temporal and spatial autocorrelations for V6 compared to TG over V5 withe-folding times of 1, 1, and 2 days, and isotropic spatial decorrelation distances of 1.14°, 1.87°, and 3.61° for TG, V6, and V5, respectively. Rain event statistics show that the V6 3B42 overestimates the rain event durations and underestimates the rain event separations and the event conditional rain rates when compared to TG. This study points to the need to further improve the 3B42 algorithm to lower the false detection rate and improve the estimation of heavy rainfall events. |
| doi_str_mv | 10.1175/2007JHM876.1 |
| format | Article |
| fullrecord | <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_20693248</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>24911863</jstor_id><sourcerecordid>24911863</sourcerecordid><originalsourceid>FETCH-LOGICAL-c326t-edd3bb48200fb66c2dcf95eeac72f11901f76d60fb33d4364d2dd4e1ef950b253</originalsourceid><addsrcrecordid>eNpFkE1Lw0AQhhdRsFZvXoWcPJm6s19JjlI_qrQoJYK3ZbO7oSlptu4mSP-9Wyr19A4zD8PLg9A14AlAxu8JxtnbbJFnYgInaASc8DTjDE6PM_86RxchrDHGrIB8hIpypZpWdSZ5jLlLlqrpatW2yX41dZut8k1wXfLT9KukXC4WyYd3ZtB9uERnEQz26i_H6PP5qZzO0vn7y-v0YZ5qSkSfWmNoVbE8dqsrITQxui64tUpnpAYoMNSZMCIeKTWMCmaIMcyCjRSuCKdjdHv4u_Xue7Chl5smaNvG0tYNQRIsCkpYHsG7A6i9C8HbWm59s1F-JwHLvR_570dCxG8O-Dr0zh9ZEr1ALij9BQztYR0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>20693248</pqid></control><display><type>article</type><title>Thailand Daily Rainfall and Comparison with TRMM Products</title><source>Jstor Complete Legacy</source><source>Alma/SFX Local Collection</source><source>EZB Electronic Journals Library</source><source>AMS Journals (Meteorology)</source><creator>Chokngamwong, Roongroj ; Chiu, Long S.</creator><creatorcontrib>Chokngamwong, Roongroj ; Chiu, Long S.</creatorcontrib><description>Daily rainfall data collected from more than 100 gauges over Thailand for the period 1993–2002 are used to study the climatology and spatial and temporal characteristics of Thailand rainfall variations. Comparison of the Thailand gauge (TG) data binned at 1° × 1° with the Global Precipitation Climatology Centre (GPCC) monitoring product shows a small bias (1.11%), and the differences can be reconciled in terms of the increased number of stations in the TG dataset. Comparison of daily TG with Tropical Rainfall Measuring Mission (TRMM) version 6 (V6) 3B42 rain estimates shows improvements over version 5 (V5) in terms of bias and mean absolute difference (MAD). The V5 is computed from the adjusted Geostationary Operational Environmental Satellite (GOES) precipitation index (AGPI) and V6 is computed using the TRMM Multisatellite Precipitation Analysis (TMPA) algorithm. The V6 histogram is much closer to that of TG than V5 in terms of rain fraction and conditional rain rates. Scatterplots show that both versions of the satellite products are deficient in capturing heavy rain events. In terms of detecting rain events, a critical success index (CSI) shows no difference between V6 and V5 3B42. The CSI for V6 is higher for the rainy season than the dry season. These results are generally insensitive to rain-rate threshold and averaging periods. The temporal and spatial autocorrelation of daily rain rates for TG, V6, and V5 3B42 are computed. Autocorrelation function analyses show improved temporal and spatial autocorrelations for V6 compared to TG over V5 withe-folding times of 1, 1, and 2 days, and isotropic spatial decorrelation distances of 1.14°, 1.87°, and 3.61° for TG, V6, and V5, respectively. Rain event statistics show that the V6 3B42 overestimates the rain event durations and underestimates the rain event separations and the event conditional rain rates when compared to TG. This study points to the need to further improve the 3B42 algorithm to lower the false detection rate and improve the estimation of heavy rainfall events.</description><identifier>ISSN: 1525-755X</identifier><identifier>EISSN: 1525-7541</identifier><identifier>DOI: 10.1175/2007JHM876.1</identifier><language>eng</language><publisher>American Meteorological Society</publisher><subject>Autocorrelation ; Climatology ; Dry seasons ; Global climate models ; Measuring instruments ; Microwaves ; Precipitation ; Rain ; Rain gauges ; Rainy seasons</subject><ispartof>Journal of hydrometeorology, 2008-04, Vol.9 (2), p.256-266</ispartof><rights>2008 American Meteorological Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c326t-edd3bb48200fb66c2dcf95eeac72f11901f76d60fb33d4364d2dd4e1ef950b253</citedby><cites>FETCH-LOGICAL-c326t-edd3bb48200fb66c2dcf95eeac72f11901f76d60fb33d4364d2dd4e1ef950b253</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/24911863$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/24911863$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,3668,27903,27904,57995,58228</link.rule.ids></links><search><creatorcontrib>Chokngamwong, Roongroj</creatorcontrib><creatorcontrib>Chiu, Long S.</creatorcontrib><title>Thailand Daily Rainfall and Comparison with TRMM Products</title><title>Journal of hydrometeorology</title><description>Daily rainfall data collected from more than 100 gauges over Thailand for the period 1993–2002 are used to study the climatology and spatial and temporal characteristics of Thailand rainfall variations. Comparison of the Thailand gauge (TG) data binned at 1° × 1° with the Global Precipitation Climatology Centre (GPCC) monitoring product shows a small bias (1.11%), and the differences can be reconciled in terms of the increased number of stations in the TG dataset. Comparison of daily TG with Tropical Rainfall Measuring Mission (TRMM) version 6 (V6) 3B42 rain estimates shows improvements over version 5 (V5) in terms of bias and mean absolute difference (MAD). The V5 is computed from the adjusted Geostationary Operational Environmental Satellite (GOES) precipitation index (AGPI) and V6 is computed using the TRMM Multisatellite Precipitation Analysis (TMPA) algorithm. The V6 histogram is much closer to that of TG than V5 in terms of rain fraction and conditional rain rates. Scatterplots show that both versions of the satellite products are deficient in capturing heavy rain events. In terms of detecting rain events, a critical success index (CSI) shows no difference between V6 and V5 3B42. The CSI for V6 is higher for the rainy season than the dry season. These results are generally insensitive to rain-rate threshold and averaging periods. The temporal and spatial autocorrelation of daily rain rates for TG, V6, and V5 3B42 are computed. Autocorrelation function analyses show improved temporal and spatial autocorrelations for V6 compared to TG over V5 withe-folding times of 1, 1, and 2 days, and isotropic spatial decorrelation distances of 1.14°, 1.87°, and 3.61° for TG, V6, and V5, respectively. Rain event statistics show that the V6 3B42 overestimates the rain event durations and underestimates the rain event separations and the event conditional rain rates when compared to TG. This study points to the need to further improve the 3B42 algorithm to lower the false detection rate and improve the estimation of heavy rainfall events.</description><subject>Autocorrelation</subject><subject>Climatology</subject><subject>Dry seasons</subject><subject>Global climate models</subject><subject>Measuring instruments</subject><subject>Microwaves</subject><subject>Precipitation</subject><subject>Rain</subject><subject>Rain gauges</subject><subject>Rainy seasons</subject><issn>1525-755X</issn><issn>1525-7541</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNpFkE1Lw0AQhhdRsFZvXoWcPJm6s19JjlI_qrQoJYK3ZbO7oSlptu4mSP-9Wyr19A4zD8PLg9A14AlAxu8JxtnbbJFnYgInaASc8DTjDE6PM_86RxchrDHGrIB8hIpypZpWdSZ5jLlLlqrpatW2yX41dZut8k1wXfLT9KukXC4WyYd3ZtB9uERnEQz26i_H6PP5qZzO0vn7y-v0YZ5qSkSfWmNoVbE8dqsrITQxui64tUpnpAYoMNSZMCIeKTWMCmaIMcyCjRSuCKdjdHv4u_Xue7Chl5smaNvG0tYNQRIsCkpYHsG7A6i9C8HbWm59s1F-JwHLvR_570dCxG8O-Dr0zh9ZEr1ALij9BQztYR0</recordid><startdate>20080401</startdate><enddate>20080401</enddate><creator>Chokngamwong, Roongroj</creator><creator>Chiu, Long S.</creator><general>American Meteorological Society</general><scope>AAYXX</scope><scope>CITATION</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>20080401</creationdate><title>Thailand Daily Rainfall and Comparison with TRMM Products</title><author>Chokngamwong, Roongroj ; Chiu, Long S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-edd3bb48200fb66c2dcf95eeac72f11901f76d60fb33d4364d2dd4e1ef950b253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Autocorrelation</topic><topic>Climatology</topic><topic>Dry seasons</topic><topic>Global climate models</topic><topic>Measuring instruments</topic><topic>Microwaves</topic><topic>Precipitation</topic><topic>Rain</topic><topic>Rain gauges</topic><topic>Rainy seasons</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chokngamwong, Roongroj</creatorcontrib><creatorcontrib>Chiu, Long S.</creatorcontrib><collection>CrossRef</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 hydrometeorology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chokngamwong, Roongroj</au><au>Chiu, Long S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Thailand Daily Rainfall and Comparison with TRMM Products</atitle><jtitle>Journal of hydrometeorology</jtitle><date>2008-04-01</date><risdate>2008</risdate><volume>9</volume><issue>2</issue><spage>256</spage><epage>266</epage><pages>256-266</pages><issn>1525-755X</issn><eissn>1525-7541</eissn><abstract>Daily rainfall data collected from more than 100 gauges over Thailand for the period 1993–2002 are used to study the climatology and spatial and temporal characteristics of Thailand rainfall variations. Comparison of the Thailand gauge (TG) data binned at 1° × 1° with the Global Precipitation Climatology Centre (GPCC) monitoring product shows a small bias (1.11%), and the differences can be reconciled in terms of the increased number of stations in the TG dataset. Comparison of daily TG with Tropical Rainfall Measuring Mission (TRMM) version 6 (V6) 3B42 rain estimates shows improvements over version 5 (V5) in terms of bias and mean absolute difference (MAD). The V5 is computed from the adjusted Geostationary Operational Environmental Satellite (GOES) precipitation index (AGPI) and V6 is computed using the TRMM Multisatellite Precipitation Analysis (TMPA) algorithm. The V6 histogram is much closer to that of TG than V5 in terms of rain fraction and conditional rain rates. Scatterplots show that both versions of the satellite products are deficient in capturing heavy rain events. In terms of detecting rain events, a critical success index (CSI) shows no difference between V6 and V5 3B42. The CSI for V6 is higher for the rainy season than the dry season. These results are generally insensitive to rain-rate threshold and averaging periods. The temporal and spatial autocorrelation of daily rain rates for TG, V6, and V5 3B42 are computed. Autocorrelation function analyses show improved temporal and spatial autocorrelations for V6 compared to TG over V5 withe-folding times of 1, 1, and 2 days, and isotropic spatial decorrelation distances of 1.14°, 1.87°, and 3.61° for TG, V6, and V5, respectively. Rain event statistics show that the V6 3B42 overestimates the rain event durations and underestimates the rain event separations and the event conditional rain rates when compared to TG. This study points to the need to further improve the 3B42 algorithm to lower the false detection rate and improve the estimation of heavy rainfall events.</abstract><pub>American Meteorological Society</pub><doi>10.1175/2007JHM876.1</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1525-755X |
| ispartof | Journal of hydrometeorology, 2008-04, Vol.9 (2), p.256-266 |
| issn | 1525-755X 1525-7541 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_20693248 |
| source | Jstor Complete Legacy; Alma/SFX Local Collection; EZB Electronic Journals Library; AMS Journals (Meteorology) |
| subjects | Autocorrelation Climatology Dry seasons Global climate models Measuring instruments Microwaves Precipitation Rain Rain gauges Rainy seasons |
| title | Thailand Daily Rainfall and Comparison with TRMM Products |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T21%3A01%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Thailand%20Daily%20Rainfall%20and%20Comparison%20with%20TRMM%20Products&rft.jtitle=Journal%20of%20hydrometeorology&rft.au=Chokngamwong,%20Roongroj&rft.date=2008-04-01&rft.volume=9&rft.issue=2&rft.spage=256&rft.epage=266&rft.pages=256-266&rft.issn=1525-755X&rft.eissn=1525-7541&rft_id=info:doi/10.1175/2007JHM876.1&rft_dat=%3Cjstor_proqu%3E24911863%3C/jstor_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=20693248&rft_id=info:pmid/&rft_jstor_id=24911863&rfr_iscdi=true |