Changes in the spatial–temporal patterns of droughts in the Brazilian Northeast
In Northeast Brazil (NEB), severe droughts have high socioeconomic impacts. In this study, the spatial–temporal characteristics of drought were evaluated based on a new drought index at 4‐km spatial resolution, derived from regional empirical relationships between a remote sensing‐based index and ra...
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| Veröffentlicht in: | Atmospheric science letters 2018-10, Vol.19 (10), p.n/a |
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| description | In Northeast Brazil (NEB), severe droughts have high socioeconomic impacts. In this study, the spatial–temporal characteristics of drought were evaluated based on a new drought index at 4‐km spatial resolution, derived from regional empirical relationships between a remote sensing‐based index and rain‐gauge‐based standardized precipitation index (SPI), a well‐known drought meteorological index. This index was used to compare the spatial pattern of severe drought events (1982–1983, 1992–1993, 1997–1998, and 2012–2013) of the last 30 years. Strong El Niño related droughts were found to be generally spatially limited, affecting around 30% of NEB and concentrated in the northern part of the region, while 2012 drought, which was not El Niño related, was widespread, reaching 46% of NEB. These results stressed the importance of analyzing droughts at the subregion scale using data with higher spatial resolution. Statistically significant trends (p |
| doi_str_mv | 10.1002/asl.855 |
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The spatial–temporal characteristics of drought were evaluated based on a new drought index derived from regional empirical relationships between a remote sensing‐based index and a standardized precipitation index.
Spatial and temporal trends of drought index are assessed over Brazilian Northeast.
Significant signal toward drier conditions was identified in most of the study region.</description><identifier>ISSN: 1530-261X</identifier><identifier>EISSN: 1530-261X</identifier><identifier>DOI: 10.1002/asl.855</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Atmospheric sciences ; Brazilian Northeast ; Drought ; Drought index ; drought monitoring ; El Nino ; El Nino phenomena ; Empirical analysis ; Environmental risk ; Ocean warming ; Precipitation ; Rain gauges ; Remote sensing ; Resolution ; Socioeconomic factors ; Spatial data ; Spatial discrimination ; Spatial resolution ; SPI ; Standardized precipitation index ; Statistical analysis ; Tropical climate ; VHI ; Vulnerability</subject><ispartof>Atmospheric science letters, 2018-10, Vol.19 (10), p.n/a</ispartof><rights>2018 The Authors. published by John Wiley & Sons Ltd on behalf of the Royal Meteorological Society.</rights><rights>2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3235-5d367c86b4fd95f7ade54072fecef1332fb464f77dd7b7aa1a4a06066ec8699f3</citedby><cites>FETCH-LOGICAL-c3235-5d367c86b4fd95f7ade54072fecef1332fb464f77dd7b7aa1a4a06066ec8699f3</cites><orcidid>0000-0003-1127-0279 ; 0000-0003-2597-8833 ; 0000-0002-0823-0885 ; 0000-0002-9924-6523</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fasl.855$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fasl.855$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,1411,11542,27903,27904,45553,45554,46031,46455</link.rule.ids></links><search><creatorcontrib>Cunha, Ana Paula M. A.</creatorcontrib><creatorcontrib>Tomasella, Javier</creatorcontrib><creatorcontrib>Ribeiro‐Neto, Germano G.</creatorcontrib><creatorcontrib>Brown, Matthew</creatorcontrib><creatorcontrib>Garcia, Samia R.</creatorcontrib><creatorcontrib>Brito, Sheila B.</creatorcontrib><creatorcontrib>Carvalho, Magog A.</creatorcontrib><title>Changes in the spatial–temporal patterns of droughts in the Brazilian Northeast</title><title>Atmospheric science letters</title><description>In Northeast Brazil (NEB), severe droughts have high socioeconomic impacts. In this study, the spatial–temporal characteristics of drought were evaluated based on a new drought index at 4‐km spatial resolution, derived from regional empirical relationships between a remote sensing‐based index and rain‐gauge‐based standardized precipitation index (SPI), a well‐known drought meteorological index. This index was used to compare the spatial pattern of severe drought events (1982–1983, 1992–1993, 1997–1998, and 2012–2013) of the last 30 years. Strong El Niño related droughts were found to be generally spatially limited, affecting around 30% of NEB and concentrated in the northern part of the region, while 2012 drought, which was not El Niño related, was widespread, reaching 46% of NEB. These results stressed the importance of analyzing droughts at the subregion scale using data with higher spatial resolution. Statistically significant trends (p < 0.05) toward drier conditions detected in the SPI time‐series were linked to the tropical Atlantic Ocean warming trend, which result in an increased drought risk and social vulnerability in the region.
The spatial–temporal characteristics of drought were evaluated based on a new drought index derived from regional empirical relationships between a remote sensing‐based index and a standardized precipitation index.
Spatial and temporal trends of drought index are assessed over Brazilian Northeast.
Significant signal toward drier conditions was identified in most of the study region.</description><subject>Atmospheric sciences</subject><subject>Brazilian Northeast</subject><subject>Drought</subject><subject>Drought index</subject><subject>drought monitoring</subject><subject>El Nino</subject><subject>El Nino phenomena</subject><subject>Empirical analysis</subject><subject>Environmental risk</subject><subject>Ocean warming</subject><subject>Precipitation</subject><subject>Rain gauges</subject><subject>Remote sensing</subject><subject>Resolution</subject><subject>Socioeconomic factors</subject><subject>Spatial data</subject><subject>Spatial discrimination</subject><subject>Spatial resolution</subject><subject>SPI</subject><subject>Standardized precipitation index</subject><subject>Statistical analysis</subject><subject>Tropical climate</subject><subject>VHI</subject><subject>Vulnerability</subject><issn>1530-261X</issn><issn>1530-261X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp10M1KAzEQB_AgCtYqvkLAgxe35jvdYy1-QVFEBW9hupu0W7a7a5Ii9eQ7-IY-iSkV8eJphuE3M_BH6JiSASWEnUOoB0Mpd1CPSk4ypujL7p9-Hx2EsCCEUqF0Dz2M59DMbMBVg-Pc4tBBrKD--viMdtm1HmqcJtH6JuDW4dK3q9k8_vILD-9VXUGD71qfBhDiIdpzUAd79FP76Pnq8ml8k03ur2_Ho0lWcMZlJkuudDFUU-HKXDoNpZWCaOZsYR3lnLmpUMJpXZZ6qgEoCCCKKGXTUp473kcn27udb19XNkSzaFe-SS8No1RSJSjNkzrdqsK3IXjrTOerJfi1ocRs8jIpL5PySvJsK9-q2q7_Y2b0OGEb_g0GVW1H</recordid><startdate>201810</startdate><enddate>201810</enddate><creator>Cunha, Ana Paula M. 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A.</creatorcontrib><creatorcontrib>Tomasella, Javier</creatorcontrib><creatorcontrib>Ribeiro‐Neto, Germano G.</creatorcontrib><creatorcontrib>Brown, Matthew</creatorcontrib><creatorcontrib>Garcia, Samia R.</creatorcontrib><creatorcontrib>Brito, Sheila B.</creatorcontrib><creatorcontrib>Carvalho, Magog A.</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Free Content</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</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>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Atmospheric science letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cunha, Ana Paula M. A.</au><au>Tomasella, Javier</au><au>Ribeiro‐Neto, Germano G.</au><au>Brown, Matthew</au><au>Garcia, Samia R.</au><au>Brito, Sheila B.</au><au>Carvalho, Magog A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Changes in the spatial–temporal patterns of droughts in the Brazilian Northeast</atitle><jtitle>Atmospheric science letters</jtitle><date>2018-10</date><risdate>2018</risdate><volume>19</volume><issue>10</issue><epage>n/a</epage><issn>1530-261X</issn><eissn>1530-261X</eissn><abstract>In Northeast Brazil (NEB), severe droughts have high socioeconomic impacts. In this study, the spatial–temporal characteristics of drought were evaluated based on a new drought index at 4‐km spatial resolution, derived from regional empirical relationships between a remote sensing‐based index and rain‐gauge‐based standardized precipitation index (SPI), a well‐known drought meteorological index. This index was used to compare the spatial pattern of severe drought events (1982–1983, 1992–1993, 1997–1998, and 2012–2013) of the last 30 years. Strong El Niño related droughts were found to be generally spatially limited, affecting around 30% of NEB and concentrated in the northern part of the region, while 2012 drought, which was not El Niño related, was widespread, reaching 46% of NEB. These results stressed the importance of analyzing droughts at the subregion scale using data with higher spatial resolution. Statistically significant trends (p < 0.05) toward drier conditions detected in the SPI time‐series were linked to the tropical Atlantic Ocean warming trend, which result in an increased drought risk and social vulnerability in the region.
The spatial–temporal characteristics of drought were evaluated based on a new drought index derived from regional empirical relationships between a remote sensing‐based index and a standardized precipitation index.
Spatial and temporal trends of drought index are assessed over Brazilian Northeast.
Significant signal toward drier conditions was identified in most of the study region.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/asl.855</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-1127-0279</orcidid><orcidid>https://orcid.org/0000-0003-2597-8833</orcidid><orcidid>https://orcid.org/0000-0002-0823-0885</orcidid><orcidid>https://orcid.org/0000-0002-9924-6523</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Atmospheric sciences Brazilian Northeast Drought Drought index drought monitoring El Nino El Nino phenomena Empirical analysis Environmental risk Ocean warming Precipitation Rain gauges Remote sensing Resolution Socioeconomic factors Spatial data Spatial discrimination Spatial resolution SPI Standardized precipitation index Statistical analysis Tropical climate VHI Vulnerability |
| title | Changes in the spatial–temporal patterns of droughts in the Brazilian Northeast |
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