Evaluation of Sixteen Gridded Precipitation Datasets over the Caribbean Region Using Gauge Observations
The existence of several gridded precipitation products (GPP) has facilitated studies related to climate change, climate modeling, as well as a better understanding of the physical processes underpinning this key variable. Due to complexities in estimating rainfall, gridded datasets exhibit differen...
Gespeichert in:
Veröffentlicht in: | Atmosphere 2020-12, Vol.11 (12), p.1334, Article 1334 |
---|---|
Hauptverfasser: | , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 12 |
container_start_page | 1334 |
container_title | Atmosphere |
container_volume | 11 |
creator | Centella-Artola, Abel Bezanilla-Morlot, Arnoldo Taylor, Michael A. Herrera, Dimitris A. Martinez-Castro, Daniel Gouirand, Isabelle Sierra-Lorenzo, Maibys Vichot-Llano, Alejandro Stephenson, Tannecia Fonseca, Cecilia Campbell, Jayaka Alpizar, Milena |
description | The existence of several gridded precipitation products (GPP) has facilitated studies related to climate change, climate modeling, as well as a better understanding of the physical processes underpinning this key variable. Due to complexities in estimating rainfall, gridded datasets exhibit different levels of accuracy across regions, even when they are developed at relatively high resolution or using sophisticated procedures. The performance of 16 GPP are evaluated over the Caribbean region, which includes the Caribbean Islands, and portions of Central South America. Monthly data for sixty weather stations are used as a reference for the period 1983-2010. The 16 GPP include six products based on station data only, two that combine ground station and satellite information, two merging station and reanalysis information, four based on reanalysis, and two using multisource information. The temporal resolution of the GPP ranged between daily and monthly and spatial resolution from 0.033 degrees to 0.5 degrees. The methodological approach employed combined a comparison of regional and sub-regional precipitation annual cycles, the Kling-Gupta efficiency (KGE) index, as well as several metrics derived from the standardized precipitation index (SPI). Overall, the best performances were obtained from GPCC025 and MSWEP2, likely reflecting the positive impact of the large number of station data utilized in their development. It is also demonstrated that a higher spatial resolution does not always mean better accuracy. There is a need for this kind of assessment when undertaking climate studies in regions like the Caribbean where resolution is a significant consideration. ERA5 performed best among the reanalyses analyzed and has the potential to be used to develop regionally based GPP by applying bias correction or downscaling techniques. The methodological approach employed provides a comprehensive and robust evaluation of the relative strengths and weaknesses of GPP in the Caribbean region. |
doi_str_mv | 10.3390/atmos11121334 |
format | Article |
fullrecord | <record><control><sourceid>proquest_webof</sourceid><recordid>TN_cdi_proquest_journals_2469712979</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_30525d5455154dbf82dbb8a7b6a716c3</doaj_id><sourcerecordid>2469712979</sourcerecordid><originalsourceid>FETCH-LOGICAL-c370t-c136fe6ce9a89695bf82a99be614d9a983bd7caa05a0ac7a9c873bd9190851d33</originalsourceid><addsrcrecordid>eNqNkU1v1DAQhiMEElXpkbsljijgzzg-olCWSpWKgJ6jsT0JXm3jxXa28O9JmqqCG3PxaPTMO5aeqnrN6DshDH0P5S5mxhhnQshn1RmnWtRSCvH8r_5ldZHzni4ljeBCnlXj5QkOM5QQJxIH8i38KogT2aXgPXryJaELx1A24CMUyFgyiSdMpPxA0kEK1iJM5CuOK3KbwzSSHcwjkhubMZ0eVvOr6sUAh4wXj-95dfvp8nv3ub6-2V11H65rJzQttWOiGbBxaKA1jVF2aDkYY7Fh0hswrbBeOwCqgILTYFyrl5FhhraKeSHOq6st10fY98cU7iD97iOE_mEQ09hDKsEdsBdUceWVVIop6ddL3toWtG1As8atWW-2rGOKP2fMpd_HOU3L93suG6MZN9osVL1RLsWcEw5PVxntVzX9P2oW_u3G36ONQ3YBJ4dPO4uahnJmNF8tsYVu_5_uHkV1cZ6K-AMBqKLn</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2469712979</pqid></control><display><type>article</type><title>Evaluation of Sixteen Gridded Precipitation Datasets over the Caribbean Region Using Gauge Observations</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>Web of Science - Science Citation Index Expanded - 2020<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /></source><creator>Centella-Artola, Abel ; Bezanilla-Morlot, Arnoldo ; Taylor, Michael A. ; Herrera, Dimitris A. ; Martinez-Castro, Daniel ; Gouirand, Isabelle ; Sierra-Lorenzo, Maibys ; Vichot-Llano, Alejandro ; Stephenson, Tannecia ; Fonseca, Cecilia ; Campbell, Jayaka ; Alpizar, Milena</creator><creatorcontrib>Centella-Artola, Abel ; Bezanilla-Morlot, Arnoldo ; Taylor, Michael A. ; Herrera, Dimitris A. ; Martinez-Castro, Daniel ; Gouirand, Isabelle ; Sierra-Lorenzo, Maibys ; Vichot-Llano, Alejandro ; Stephenson, Tannecia ; Fonseca, Cecilia ; Campbell, Jayaka ; Alpizar, Milena</creatorcontrib><description>The existence of several gridded precipitation products (GPP) has facilitated studies related to climate change, climate modeling, as well as a better understanding of the physical processes underpinning this key variable. Due to complexities in estimating rainfall, gridded datasets exhibit different levels of accuracy across regions, even when they are developed at relatively high resolution or using sophisticated procedures. The performance of 16 GPP are evaluated over the Caribbean region, which includes the Caribbean Islands, and portions of Central South America. Monthly data for sixty weather stations are used as a reference for the period 1983-2010. The 16 GPP include six products based on station data only, two that combine ground station and satellite information, two merging station and reanalysis information, four based on reanalysis, and two using multisource information. The temporal resolution of the GPP ranged between daily and monthly and spatial resolution from 0.033 degrees to 0.5 degrees. The methodological approach employed combined a comparison of regional and sub-regional precipitation annual cycles, the Kling-Gupta efficiency (KGE) index, as well as several metrics derived from the standardized precipitation index (SPI). Overall, the best performances were obtained from GPCC025 and MSWEP2, likely reflecting the positive impact of the large number of station data utilized in their development. It is also demonstrated that a higher spatial resolution does not always mean better accuracy. There is a need for this kind of assessment when undertaking climate studies in regions like the Caribbean where resolution is a significant consideration. ERA5 performed best among the reanalyses analyzed and has the potential to be used to develop regionally based GPP by applying bias correction or downscaling techniques. The methodological approach employed provides a comprehensive and robust evaluation of the relative strengths and weaknesses of GPP in the Caribbean region.</description><identifier>ISSN: 2073-4433</identifier><identifier>EISSN: 2073-4433</identifier><identifier>DOI: 10.3390/atmos11121334</identifier><language>eng</language><publisher>BASEL: Mdpi</publisher><subject>Accuracy ; Annual cycles ; Annual precipitation ; Atmospheric precipitations ; Bias ; Caribbean region ; Climate change ; Climate models ; Climate studies ; Datasets ; Drought ; Environmental Sciences ; Environmental Sciences & Ecology ; Evaluation ; Ground stations ; Life Sciences & Biomedicine ; Meteorology & Atmospheric Sciences ; Physical Sciences ; Precipitation ; precipitation dataset performance evaluation ; precipitation datasets ; Rain ; Rainfall ; Regions ; Resolution ; Science & Technology ; Seasons ; Spatial discrimination ; Spatial resolution ; Standardized precipitation index ; Temporal resolution ; Weather stations</subject><ispartof>Atmosphere, 2020-12, Vol.11 (12), p.1334, Article 1334</ispartof><rights>2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>23</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000602197200001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c370t-c136fe6ce9a89695bf82a99be614d9a983bd7caa05a0ac7a9c873bd9190851d33</citedby><cites>FETCH-LOGICAL-c370t-c136fe6ce9a89695bf82a99be614d9a983bd7caa05a0ac7a9c873bd9190851d33</cites><orcidid>0000-0002-0146-673X ; 0000-0001-8586-9116 ; 0000-0003-2361-5844 ; 0000-0002-5957-4637 ; 0000-0002-1536-6043 ; 0000-0003-4838-1474 ; 0000-0002-3305-8554 ; 0000-0002-1358-8697</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,865,2103,2115,27929,27930,28253</link.rule.ids></links><search><creatorcontrib>Centella-Artola, Abel</creatorcontrib><creatorcontrib>Bezanilla-Morlot, Arnoldo</creatorcontrib><creatorcontrib>Taylor, Michael A.</creatorcontrib><creatorcontrib>Herrera, Dimitris A.</creatorcontrib><creatorcontrib>Martinez-Castro, Daniel</creatorcontrib><creatorcontrib>Gouirand, Isabelle</creatorcontrib><creatorcontrib>Sierra-Lorenzo, Maibys</creatorcontrib><creatorcontrib>Vichot-Llano, Alejandro</creatorcontrib><creatorcontrib>Stephenson, Tannecia</creatorcontrib><creatorcontrib>Fonseca, Cecilia</creatorcontrib><creatorcontrib>Campbell, Jayaka</creatorcontrib><creatorcontrib>Alpizar, Milena</creatorcontrib><title>Evaluation of Sixteen Gridded Precipitation Datasets over the Caribbean Region Using Gauge Observations</title><title>Atmosphere</title><addtitle>ATMOSPHERE-BASEL</addtitle><description>The existence of several gridded precipitation products (GPP) has facilitated studies related to climate change, climate modeling, as well as a better understanding of the physical processes underpinning this key variable. Due to complexities in estimating rainfall, gridded datasets exhibit different levels of accuracy across regions, even when they are developed at relatively high resolution or using sophisticated procedures. The performance of 16 GPP are evaluated over the Caribbean region, which includes the Caribbean Islands, and portions of Central South America. Monthly data for sixty weather stations are used as a reference for the period 1983-2010. The 16 GPP include six products based on station data only, two that combine ground station and satellite information, two merging station and reanalysis information, four based on reanalysis, and two using multisource information. The temporal resolution of the GPP ranged between daily and monthly and spatial resolution from 0.033 degrees to 0.5 degrees. The methodological approach employed combined a comparison of regional and sub-regional precipitation annual cycles, the Kling-Gupta efficiency (KGE) index, as well as several metrics derived from the standardized precipitation index (SPI). Overall, the best performances were obtained from GPCC025 and MSWEP2, likely reflecting the positive impact of the large number of station data utilized in their development. It is also demonstrated that a higher spatial resolution does not always mean better accuracy. There is a need for this kind of assessment when undertaking climate studies in regions like the Caribbean where resolution is a significant consideration. ERA5 performed best among the reanalyses analyzed and has the potential to be used to develop regionally based GPP by applying bias correction or downscaling techniques. The methodological approach employed provides a comprehensive and robust evaluation of the relative strengths and weaknesses of GPP in the Caribbean region.</description><subject>Accuracy</subject><subject>Annual cycles</subject><subject>Annual precipitation</subject><subject>Atmospheric precipitations</subject><subject>Bias</subject><subject>Caribbean region</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Climate studies</subject><subject>Datasets</subject><subject>Drought</subject><subject>Environmental Sciences</subject><subject>Environmental Sciences & Ecology</subject><subject>Evaluation</subject><subject>Ground stations</subject><subject>Life Sciences & Biomedicine</subject><subject>Meteorology & Atmospheric Sciences</subject><subject>Physical Sciences</subject><subject>Precipitation</subject><subject>precipitation dataset performance evaluation</subject><subject>precipitation datasets</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Regions</subject><subject>Resolution</subject><subject>Science & Technology</subject><subject>Seasons</subject><subject>Spatial discrimination</subject><subject>Spatial resolution</subject><subject>Standardized precipitation index</subject><subject>Temporal resolution</subject><subject>Weather stations</subject><issn>2073-4433</issn><issn>2073-4433</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNqNkU1v1DAQhiMEElXpkbsljijgzzg-olCWSpWKgJ6jsT0JXm3jxXa28O9JmqqCG3PxaPTMO5aeqnrN6DshDH0P5S5mxhhnQshn1RmnWtRSCvH8r_5ldZHzni4ljeBCnlXj5QkOM5QQJxIH8i38KogT2aXgPXryJaELx1A24CMUyFgyiSdMpPxA0kEK1iJM5CuOK3KbwzSSHcwjkhubMZ0eVvOr6sUAh4wXj-95dfvp8nv3ub6-2V11H65rJzQttWOiGbBxaKA1jVF2aDkYY7Fh0hswrbBeOwCqgILTYFyrl5FhhraKeSHOq6st10fY98cU7iD97iOE_mEQ09hDKsEdsBdUceWVVIop6ddL3toWtG1As8atWW-2rGOKP2fMpd_HOU3L93suG6MZN9osVL1RLsWcEw5PVxntVzX9P2oW_u3G36ONQ3YBJ4dPO4uahnJmNF8tsYVu_5_uHkV1cZ6K-AMBqKLn</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Centella-Artola, Abel</creator><creator>Bezanilla-Morlot, Arnoldo</creator><creator>Taylor, Michael A.</creator><creator>Herrera, Dimitris A.</creator><creator>Martinez-Castro, Daniel</creator><creator>Gouirand, Isabelle</creator><creator>Sierra-Lorenzo, Maibys</creator><creator>Vichot-Llano, Alejandro</creator><creator>Stephenson, Tannecia</creator><creator>Fonseca, Cecilia</creator><creator>Campbell, Jayaka</creator><creator>Alpizar, Milena</creator><general>Mdpi</general><general>MDPI AG</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>SOI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-0146-673X</orcidid><orcidid>https://orcid.org/0000-0001-8586-9116</orcidid><orcidid>https://orcid.org/0000-0003-2361-5844</orcidid><orcidid>https://orcid.org/0000-0002-5957-4637</orcidid><orcidid>https://orcid.org/0000-0002-1536-6043</orcidid><orcidid>https://orcid.org/0000-0003-4838-1474</orcidid><orcidid>https://orcid.org/0000-0002-3305-8554</orcidid><orcidid>https://orcid.org/0000-0002-1358-8697</orcidid></search><sort><creationdate>20201201</creationdate><title>Evaluation of Sixteen Gridded Precipitation Datasets over the Caribbean Region Using Gauge Observations</title><author>Centella-Artola, Abel ; Bezanilla-Morlot, Arnoldo ; Taylor, Michael A. ; Herrera, Dimitris A. ; Martinez-Castro, Daniel ; Gouirand, Isabelle ; Sierra-Lorenzo, Maibys ; Vichot-Llano, Alejandro ; Stephenson, Tannecia ; Fonseca, Cecilia ; Campbell, Jayaka ; Alpizar, Milena</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c370t-c136fe6ce9a89695bf82a99be614d9a983bd7caa05a0ac7a9c873bd9190851d33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Accuracy</topic><topic>Annual cycles</topic><topic>Annual precipitation</topic><topic>Atmospheric precipitations</topic><topic>Bias</topic><topic>Caribbean region</topic><topic>Climate change</topic><topic>Climate models</topic><topic>Climate studies</topic><topic>Datasets</topic><topic>Drought</topic><topic>Environmental Sciences</topic><topic>Environmental Sciences & Ecology</topic><topic>Evaluation</topic><topic>Ground stations</topic><topic>Life Sciences & Biomedicine</topic><topic>Meteorology & Atmospheric Sciences</topic><topic>Physical Sciences</topic><topic>Precipitation</topic><topic>precipitation dataset performance evaluation</topic><topic>precipitation datasets</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Regions</topic><topic>Resolution</topic><topic>Science & Technology</topic><topic>Seasons</topic><topic>Spatial discrimination</topic><topic>Spatial resolution</topic><topic>Standardized precipitation index</topic><topic>Temporal resolution</topic><topic>Weather stations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Centella-Artola, Abel</creatorcontrib><creatorcontrib>Bezanilla-Morlot, Arnoldo</creatorcontrib><creatorcontrib>Taylor, Michael A.</creatorcontrib><creatorcontrib>Herrera, Dimitris A.</creatorcontrib><creatorcontrib>Martinez-Castro, Daniel</creatorcontrib><creatorcontrib>Gouirand, Isabelle</creatorcontrib><creatorcontrib>Sierra-Lorenzo, Maibys</creatorcontrib><creatorcontrib>Vichot-Llano, Alejandro</creatorcontrib><creatorcontrib>Stephenson, Tannecia</creatorcontrib><creatorcontrib>Fonseca, Cecilia</creatorcontrib><creatorcontrib>Campbell, Jayaka</creatorcontrib><creatorcontrib>Alpizar, Milena</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environment Abstracts</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Atmosphere</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Centella-Artola, Abel</au><au>Bezanilla-Morlot, Arnoldo</au><au>Taylor, Michael A.</au><au>Herrera, Dimitris A.</au><au>Martinez-Castro, Daniel</au><au>Gouirand, Isabelle</au><au>Sierra-Lorenzo, Maibys</au><au>Vichot-Llano, Alejandro</au><au>Stephenson, Tannecia</au><au>Fonseca, Cecilia</au><au>Campbell, Jayaka</au><au>Alpizar, Milena</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of Sixteen Gridded Precipitation Datasets over the Caribbean Region Using Gauge Observations</atitle><jtitle>Atmosphere</jtitle><stitle>ATMOSPHERE-BASEL</stitle><date>2020-12-01</date><risdate>2020</risdate><volume>11</volume><issue>12</issue><spage>1334</spage><pages>1334-</pages><artnum>1334</artnum><issn>2073-4433</issn><eissn>2073-4433</eissn><abstract>The existence of several gridded precipitation products (GPP) has facilitated studies related to climate change, climate modeling, as well as a better understanding of the physical processes underpinning this key variable. Due to complexities in estimating rainfall, gridded datasets exhibit different levels of accuracy across regions, even when they are developed at relatively high resolution or using sophisticated procedures. The performance of 16 GPP are evaluated over the Caribbean region, which includes the Caribbean Islands, and portions of Central South America. Monthly data for sixty weather stations are used as a reference for the period 1983-2010. The 16 GPP include six products based on station data only, two that combine ground station and satellite information, two merging station and reanalysis information, four based on reanalysis, and two using multisource information. The temporal resolution of the GPP ranged between daily and monthly and spatial resolution from 0.033 degrees to 0.5 degrees. The methodological approach employed combined a comparison of regional and sub-regional precipitation annual cycles, the Kling-Gupta efficiency (KGE) index, as well as several metrics derived from the standardized precipitation index (SPI). Overall, the best performances were obtained from GPCC025 and MSWEP2, likely reflecting the positive impact of the large number of station data utilized in their development. It is also demonstrated that a higher spatial resolution does not always mean better accuracy. There is a need for this kind of assessment when undertaking climate studies in regions like the Caribbean where resolution is a significant consideration. ERA5 performed best among the reanalyses analyzed and has the potential to be used to develop regionally based GPP by applying bias correction or downscaling techniques. The methodological approach employed provides a comprehensive and robust evaluation of the relative strengths and weaknesses of GPP in the Caribbean region.</abstract><cop>BASEL</cop><pub>Mdpi</pub><doi>10.3390/atmos11121334</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-0146-673X</orcidid><orcidid>https://orcid.org/0000-0001-8586-9116</orcidid><orcidid>https://orcid.org/0000-0003-2361-5844</orcidid><orcidid>https://orcid.org/0000-0002-5957-4637</orcidid><orcidid>https://orcid.org/0000-0002-1536-6043</orcidid><orcidid>https://orcid.org/0000-0003-4838-1474</orcidid><orcidid>https://orcid.org/0000-0002-3305-8554</orcidid><orcidid>https://orcid.org/0000-0002-1358-8697</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2073-4433 |
ispartof | Atmosphere, 2020-12, Vol.11 (12), p.1334, Article 1334 |
issn | 2073-4433 2073-4433 |
language | eng |
recordid | cdi_proquest_journals_2469712979 |
source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; MDPI - Multidisciplinary Digital Publishing Institute; Web of Science - Science Citation Index Expanded - 2020<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /> |
subjects | Accuracy Annual cycles Annual precipitation Atmospheric precipitations Bias Caribbean region Climate change Climate models Climate studies Datasets Drought Environmental Sciences Environmental Sciences & Ecology Evaluation Ground stations Life Sciences & Biomedicine Meteorology & Atmospheric Sciences Physical Sciences Precipitation precipitation dataset performance evaluation precipitation datasets Rain Rainfall Regions Resolution Science & Technology Seasons Spatial discrimination Spatial resolution Standardized precipitation index Temporal resolution Weather stations |
title | Evaluation of Sixteen Gridded Precipitation Datasets over the Caribbean Region Using Gauge Observations |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-15T17%3A19%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_webof&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evaluation%20of%20Sixteen%20Gridded%20Precipitation%20Datasets%20over%20the%20Caribbean%20Region%20Using%20Gauge%20Observations&rft.jtitle=Atmosphere&rft.au=Centella-Artola,%20Abel&rft.date=2020-12-01&rft.volume=11&rft.issue=12&rft.spage=1334&rft.pages=1334-&rft.artnum=1334&rft.issn=2073-4433&rft.eissn=2073-4433&rft_id=info:doi/10.3390/atmos11121334&rft_dat=%3Cproquest_webof%3E2469712979%3C/proquest_webof%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2469712979&rft_id=info:pmid/&rft_doaj_id=oai_doaj_org_article_30525d5455154dbf82dbb8a7b6a716c3&rfr_iscdi=true |