IDF curves for future climate scenarios in a locality of the Tapajós Basin, Amazon, Brazil

Changes in the global climate are attributed to the levels of greenhouse gases. Thus, future scenarios (Representative Concentration Pathways – RCPs) have been developed to explore the impact of different climate policies on the world. The RCPs are essential tools for General Circulation Models (GCM...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of water and climate change 2020-09, Vol.11 (3), p.760-770
Hauptverfasser: de Souza Costa, Carlos Eduardo Aguiar, Blanco, Claudio José Cavalcante, de Oliveira-Júnior, José Francisco
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 770
container_issue 3
container_start_page 760
container_title Journal of water and climate change
container_volume 11
creator de Souza Costa, Carlos Eduardo Aguiar
Blanco, Claudio José Cavalcante
de Oliveira-Júnior, José Francisco
description Changes in the global climate are attributed to the levels of greenhouse gases. Thus, future scenarios (Representative Concentration Pathways – RCPs) have been developed to explore the impact of different climate policies on the world. The RCPs are essential tools for General Circulation Models (GCMs) to simulate future climate changes. Curves that associate Intensity, Duration and Frequency (IDF) are used in forecasts and are fundamental for the design of hydraulic projects and risk management. The objective of this study was to design IDF curves for the RCP 4.5 and 8.5, using data from the HadGEM2-ES, CanESM2 and MIROC5 models. The Equidistance Quantile Matching Method was used to design the IDF curves. The simulated curves presented differences when related to the existing curve. The largest differences were for the MIROC5 (146% in RCP 8.5) and the smallest differences were for the CanESM2 (−20.83% for RCP 8.5). This result demonstrates that the method incorporates changes in future climate variability. The spatial resolutions of each model influenced their IDF curves, which led the CanESM2 curves to not present satisfactory results that are different from the MIROC5 curves, which were the ones that best represented the possible future differences.
doi_str_mv 10.2166/wcc.2019.202
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2483168791</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2483168791</sourcerecordid><originalsourceid>FETCH-LOGICAL-c263t-ba1812b32aa6ee6d23bde9a7e218d07b1cda36300119c4299fd0b66b5e910a103</originalsourceid><addsrcrecordid>eNotkEFOwzAQRS0EElXpjgNYYtsUj5248bItFCpVYlNWLKyJ44hUaVzsBNReq0fgYrgqs_h_Fl8z-o-Qe2ATDlI-_hgz4QxUFH5FBjxleaJEll7HnaUs4TxNb8kohC2Lk2VKsHxAPlZPS2p6_20DrZynVd_13lLT1DvsLA3GtuhrF2jdUqSNM9jU3YG6inaflm5wj9vfU6BzDHU7prMdHl30ucdj3dyRmwqbYEf_PiTvy-fN4jVZv72sFrN1YrgUXVIg5MALwRGltbLkoiitwqnlkJdsWoApUUjBGIAyKVeqKlkhZZFZBQyBiSF5uNzde_fV29Dpret9G19qnuYCZD5VEFPjS8p4F4K3ld77WNIfNDB9JqgjQX0mGIWLP4iKYzM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2483168791</pqid></control><display><type>article</type><title>IDF curves for future climate scenarios in a locality of the Tapajós Basin, Amazon, Brazil</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>de Souza Costa, Carlos Eduardo Aguiar ; Blanco, Claudio José Cavalcante ; de Oliveira-Júnior, José Francisco</creator><creatorcontrib>de Souza Costa, Carlos Eduardo Aguiar ; Blanco, Claudio José Cavalcante ; de Oliveira-Júnior, José Francisco</creatorcontrib><description>Changes in the global climate are attributed to the levels of greenhouse gases. Thus, future scenarios (Representative Concentration Pathways – RCPs) have been developed to explore the impact of different climate policies on the world. The RCPs are essential tools for General Circulation Models (GCMs) to simulate future climate changes. Curves that associate Intensity, Duration and Frequency (IDF) are used in forecasts and are fundamental for the design of hydraulic projects and risk management. The objective of this study was to design IDF curves for the RCP 4.5 and 8.5, using data from the HadGEM2-ES, CanESM2 and MIROC5 models. The Equidistance Quantile Matching Method was used to design the IDF curves. The simulated curves presented differences when related to the existing curve. The largest differences were for the MIROC5 (146% in RCP 8.5) and the smallest differences were for the CanESM2 (−20.83% for RCP 8.5). This result demonstrates that the method incorporates changes in future climate variability. The spatial resolutions of each model influenced their IDF curves, which led the CanESM2 curves to not present satisfactory results that are different from the MIROC5 curves, which were the ones that best represented the possible future differences.</description><identifier>ISSN: 2040-2244</identifier><identifier>EISSN: 2408-9354</identifier><identifier>DOI: 10.2166/wcc.2019.202</identifier><language>eng</language><publisher>London: IWA Publishing</publisher><subject>Agricultural production ; Basins ; Climate ; Climate change ; Climate models ; Climate policy ; Climate variability ; Design ; Environmental policy ; Feasibility studies ; Future climates ; Gases ; General circulation models ; Global climate ; Greenhouse effect ; Greenhouse gases ; Hydroelectric plants ; Precipitation ; Project management ; Research centers ; Risk management ; Roads &amp; highways ; Simulation</subject><ispartof>Journal of water and climate change, 2020-09, Vol.11 (3), p.760-770</ispartof><rights>Copyright IWA Publishing Sep 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c263t-ba1812b32aa6ee6d23bde9a7e218d07b1cda36300119c4299fd0b66b5e910a103</citedby><cites>FETCH-LOGICAL-c263t-ba1812b32aa6ee6d23bde9a7e218d07b1cda36300119c4299fd0b66b5e910a103</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>de Souza Costa, Carlos Eduardo Aguiar</creatorcontrib><creatorcontrib>Blanco, Claudio José Cavalcante</creatorcontrib><creatorcontrib>de Oliveira-Júnior, José Francisco</creatorcontrib><title>IDF curves for future climate scenarios in a locality of the Tapajós Basin, Amazon, Brazil</title><title>Journal of water and climate change</title><description>Changes in the global climate are attributed to the levels of greenhouse gases. Thus, future scenarios (Representative Concentration Pathways – RCPs) have been developed to explore the impact of different climate policies on the world. The RCPs are essential tools for General Circulation Models (GCMs) to simulate future climate changes. Curves that associate Intensity, Duration and Frequency (IDF) are used in forecasts and are fundamental for the design of hydraulic projects and risk management. The objective of this study was to design IDF curves for the RCP 4.5 and 8.5, using data from the HadGEM2-ES, CanESM2 and MIROC5 models. The Equidistance Quantile Matching Method was used to design the IDF curves. The simulated curves presented differences when related to the existing curve. The largest differences were for the MIROC5 (146% in RCP 8.5) and the smallest differences were for the CanESM2 (−20.83% for RCP 8.5). This result demonstrates that the method incorporates changes in future climate variability. The spatial resolutions of each model influenced their IDF curves, which led the CanESM2 curves to not present satisfactory results that are different from the MIROC5 curves, which were the ones that best represented the possible future differences.</description><subject>Agricultural production</subject><subject>Basins</subject><subject>Climate</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Climate policy</subject><subject>Climate variability</subject><subject>Design</subject><subject>Environmental policy</subject><subject>Feasibility studies</subject><subject>Future climates</subject><subject>Gases</subject><subject>General circulation models</subject><subject>Global climate</subject><subject>Greenhouse effect</subject><subject>Greenhouse gases</subject><subject>Hydroelectric plants</subject><subject>Precipitation</subject><subject>Project management</subject><subject>Research centers</subject><subject>Risk management</subject><subject>Roads &amp; highways</subject><subject>Simulation</subject><issn>2040-2244</issn><issn>2408-9354</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNotkEFOwzAQRS0EElXpjgNYYtsUj5248bItFCpVYlNWLKyJ44hUaVzsBNReq0fgYrgqs_h_Fl8z-o-Qe2ATDlI-_hgz4QxUFH5FBjxleaJEll7HnaUs4TxNb8kohC2Lk2VKsHxAPlZPS2p6_20DrZynVd_13lLT1DvsLA3GtuhrF2jdUqSNM9jU3YG6inaflm5wj9vfU6BzDHU7prMdHl30ucdj3dyRmwqbYEf_PiTvy-fN4jVZv72sFrN1YrgUXVIg5MALwRGltbLkoiitwqnlkJdsWoApUUjBGIAyKVeqKlkhZZFZBQyBiSF5uNzde_fV29Dpret9G19qnuYCZD5VEFPjS8p4F4K3ld77WNIfNDB9JqgjQX0mGIWLP4iKYzM</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>de Souza Costa, Carlos Eduardo Aguiar</creator><creator>Blanco, Claudio José Cavalcante</creator><creator>de Oliveira-Júnior, José Francisco</creator><general>IWA Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>AFKRA</scope><scope>ATCPS</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>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope></search><sort><creationdate>20200901</creationdate><title>IDF curves for future climate scenarios in a locality of the Tapajós Basin, Amazon, Brazil</title><author>de Souza Costa, Carlos Eduardo Aguiar ; Blanco, Claudio José Cavalcante ; de Oliveira-Júnior, José Francisco</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c263t-ba1812b32aa6ee6d23bde9a7e218d07b1cda36300119c4299fd0b66b5e910a103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Agricultural production</topic><topic>Basins</topic><topic>Climate</topic><topic>Climate change</topic><topic>Climate models</topic><topic>Climate policy</topic><topic>Climate variability</topic><topic>Design</topic><topic>Environmental policy</topic><topic>Feasibility studies</topic><topic>Future climates</topic><topic>Gases</topic><topic>General circulation models</topic><topic>Global climate</topic><topic>Greenhouse effect</topic><topic>Greenhouse gases</topic><topic>Hydroelectric plants</topic><topic>Precipitation</topic><topic>Project management</topic><topic>Research centers</topic><topic>Risk management</topic><topic>Roads &amp; highways</topic><topic>Simulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Souza Costa, Carlos Eduardo Aguiar</creatorcontrib><creatorcontrib>Blanco, Claudio José Cavalcante</creatorcontrib><creatorcontrib>de Oliveira-Júnior, José Francisco</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; 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>ProQuest Central Student</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 3: Aquatic Pollution &amp; Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science 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>Environmental Science Collection</collection><jtitle>Journal of water and climate change</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Souza Costa, Carlos Eduardo Aguiar</au><au>Blanco, Claudio José Cavalcante</au><au>de Oliveira-Júnior, José Francisco</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>IDF curves for future climate scenarios in a locality of the Tapajós Basin, Amazon, Brazil</atitle><jtitle>Journal of water and climate change</jtitle><date>2020-09-01</date><risdate>2020</risdate><volume>11</volume><issue>3</issue><spage>760</spage><epage>770</epage><pages>760-770</pages><issn>2040-2244</issn><eissn>2408-9354</eissn><abstract>Changes in the global climate are attributed to the levels of greenhouse gases. Thus, future scenarios (Representative Concentration Pathways – RCPs) have been developed to explore the impact of different climate policies on the world. The RCPs are essential tools for General Circulation Models (GCMs) to simulate future climate changes. Curves that associate Intensity, Duration and Frequency (IDF) are used in forecasts and are fundamental for the design of hydraulic projects and risk management. The objective of this study was to design IDF curves for the RCP 4.5 and 8.5, using data from the HadGEM2-ES, CanESM2 and MIROC5 models. The Equidistance Quantile Matching Method was used to design the IDF curves. The simulated curves presented differences when related to the existing curve. The largest differences were for the MIROC5 (146% in RCP 8.5) and the smallest differences were for the CanESM2 (−20.83% for RCP 8.5). This result demonstrates that the method incorporates changes in future climate variability. The spatial resolutions of each model influenced their IDF curves, which led the CanESM2 curves to not present satisfactory results that are different from the MIROC5 curves, which were the ones that best represented the possible future differences.</abstract><cop>London</cop><pub>IWA Publishing</pub><doi>10.2166/wcc.2019.202</doi><tpages>11</tpages></addata></record>
fulltext fulltext
identifier ISSN: 2040-2244
ispartof Journal of water and climate change, 2020-09, Vol.11 (3), p.760-770
issn 2040-2244
2408-9354
language eng
recordid cdi_proquest_journals_2483168791
source EZB-FREE-00999 freely available EZB journals
subjects Agricultural production
Basins
Climate
Climate change
Climate models
Climate policy
Climate variability
Design
Environmental policy
Feasibility studies
Future climates
Gases
General circulation models
Global climate
Greenhouse effect
Greenhouse gases
Hydroelectric plants
Precipitation
Project management
Research centers
Risk management
Roads & highways
Simulation
title IDF curves for future climate scenarios in a locality of the Tapajós Basin, Amazon, Brazil
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T09%3A20%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=IDF%20curves%20for%20future%20climate%20scenarios%20in%20a%20locality%20of%20the%20Tapaj%C3%B3s%20Basin,%20Amazon,%20Brazil&rft.jtitle=Journal%20of%20water%20and%20climate%20change&rft.au=de%20Souza%20Costa,%20Carlos%20Eduardo%20Aguiar&rft.date=2020-09-01&rft.volume=11&rft.issue=3&rft.spage=760&rft.epage=770&rft.pages=760-770&rft.issn=2040-2244&rft.eissn=2408-9354&rft_id=info:doi/10.2166/wcc.2019.202&rft_dat=%3Cproquest_cross%3E2483168791%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2483168791&rft_id=info:pmid/&rfr_iscdi=true