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OASIS Repository@POSTECHLIBRARY: Assessing the influence of climate change on multiple climate indices in Nepal using CMIP6 global climate models
<!DOCTYPE html> <html lang="ko"> <head> <title>OASIS Repository@POSTECHLIBRARY: Assessing the influence of climate change on multiple climate indices in Nepal using CMIP6 global climate models</title> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8" /> <meta name="Generator" content="DSpace 5.5" /> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <meta http-equiv="X-UA-Compatible" content="IE=edge"> <meta name="description" content="Postech OASIS Repository" /> <meta name="keywords" content="오아시스,레포지토리,리포지터리,저장소,포스텍,박태준학술정보관,포항공과대학교,포항공대,POSTECH,Pohang University of Science and Technology,도서관,IR,연구업적,학술실적,연구성과,dspace" /> <link rel="shortcut icon" href="/favicon.ico" type="image/x-icon"/> <link rel="search" type="application/opensearchdescription+xml" href="/open-search/description.xml" title="DSpace" /> <link rel="schema.DCTERMS" href="http://purl.org/dc/terms/" /> <link rel="schema.DC" href="http://purl.org/dc/elements/1.1/" /> <link rel="schema.OAK" href="http://www.oak.go.kr/terms/" /> <meta name="OAK.author" content="Bastola, Shiksha" scheme="OAK.AUTHOR" /> <meta name="OAK.author" content="Cho, Jaepil" scheme="OAK.AUTHOR" /> <meta name="OAK.author" content="KAM, JONGHUN" scheme="OAK.AUTHOR" /> <meta name="OAK.author" content="Jung, Younghun" scheme="OAK.AUTHOR" /> <meta name="DCTERMS.dateAccepted" content="2024-11-05T08:20:07Z" scheme="DCTERMS.W3CDTF" /> <meta name="DCTERMS.available" content="2024-11-05T08:20:07Z" scheme="DCTERMS.W3CDTF" /> <meta name="DCTERMS.created" content="2024-10-22" scheme="DCTERMS.W3CDTF" /> <meta name="DCTERMS.issued" content="2024-12" scheme="DCTERMS.W3CDTF" /> <meta name="OAK.identifier.issn" content="0169-8095" scheme="OAK.ISSN" /> <meta name="DC.identifier" content="https://oasis.postech.ac.kr/handle/2014.oak/124620" scheme="DCTERMS.URI" /> <meta name="DCTERMS.abstract" content="Global climate models (GCMs) serve as essential tools for projecting future climate trends, but their coarse resolution limits localized impact assessments in sectors like hydrology, agriculture, and biodiversity. Observation data with a spatial resolution of a few kilometers are crucial for downscaling and bias-correcting GCMs at finer resolutions. However, Nepal&apos;s extreme topography and organizational challenges have led to uneven distribution of meteorological stations and inconsistent data quality. Moreover, CMIP6-based climate extremes projections for the entire country are currently unavailable. To tackle these challenges, we developed a comprehensive national database for Nepal, offering high-resolution historical and projected precipitation and temperature data analyzed through 25 climate extreme indices from the Expert Team on Climate Change Detection and Indices (ETCCDI). Initially, observation grid data were prepared at a daily timescale with a spatial resolution of 0.05° × 0.05° for baseline period (1981–2010) using the Asian Precipitation High-Resolved Observational Data Integration Toward Evaluation (APHRODITE), the fifth generation of the European Centre for Medium-Range Weather Forecasts Reanalysis (ERA5), and available good quality observed climate data. This data was then utilized to downscale and bias-correct 18 CMIP6 GCMs for 2015–2100 under four SSPs (1–2.6, 2–4.5, 3–7.0, 5–8.5). Quantile mapping was employed for the bias correction of the CMIP6 GCMs. The performance of the multimodal ensemble (MME) indicated better Nash-Sutcliffe Efficiency (NSE), root mean square error ratio (RSR), and Percent Bias (PBIAS) of climate extreme indices for the historical period. A comparative analysis was conducted across Nepal&apos;s major geographic regions to account for spatial variability in regional climate systems. The finer-resolution dataset can be crucial to deepen our understanding of climate impacts, and climate change, and eventually informing the policy-making in Nepal. Moreover, the methodology can be effectively replicated in data-scarce developing nations to promote climate research and adaptation efforts." /> <meta name="DC.language" content="English" /> <meta name="DC.publisher" content="Elsevier BV" /> <meta name="DC.relation" content="Atmospheric Research" /> <meta name="DC.title" content="Assessing the influence of climate change on multiple climate indices in Nepal using CMIP6 global climate models" /> <meta name="DC.type" content="Article" /> <meta name="DC.identifier" content="10.1016/j.atmosres.2024.107720" /> <meta name="DC.identifier" content="59235" /> <meta name="DC.type" content="ART" /> <meta name="DC.identifier" content="Atmospheric Research, v.311" /> <meta name="DC.identifier" content="001338765400001" /> <meta name="OAK.relation.journal" content="Atmospheric Research" scheme="OAK.JOURNAL" /> <meta name="OAK.relation.volume" content="311" scheme="OAK.VOLUME" /> <meta name="DC.contributor" content="KAM, JONGHUN" /> <meta name="DC.identifier" content="2-s2.0-85206479979" /> <meta name="DC.description" content="1" /> <meta name="DC.description" content="1" /> <meta name="DC.description" content="N" /> <meta name="DC.type" content="Article" /> <meta name="DC.subject" content="CHANGE IMPACTS" /> <meta name="DC.subject" content="SYSTEM" /> <meta name="DC.subject" content="ASIA" /> <meta name="DC.subject" content="PRECIPITATION" /> <meta name="DC.subject" content="Climate change" /> <meta name="DC.subject" content="Climate Indices" /> <meta name="DC.subject" content="CMIP6" /> <meta name="DC.subject" content="Global climate models (GCMs)" /> <meta name="DC.subject" content="Nepal" /> <meta name="DC.subject" content="Shared Socioeconomic Pathways (SSPs)" /> <meta name="DC.relation" content="Meteorology & Atmospheric Sciences" /> <meta name="DC.description" content="scie" /> <meta name="DC.description" content="scopus" /> <meta name="DC.relation" content="Meteorology & Atmospheric Sciences" /> <meta name="citation_keywords" content="Article" /> <meta name="citation_title" content="Assessing the influence of climate change on multiple climate indices in Nepal using CMIP6 global climate models" /> <meta name="citation_issn" content="0169-8095" /> <meta name="citation_publisher" content="Elsevier BV" /> <meta name="citation_author" content="Bastola, Shiksha" /> <meta name="citation_author" content="Cho, Jaepil" /> <meta name="citation_author" content="KAM, JONGHUN" /> <meta name="citation_author" content="Jung, Younghun" /> <meta name="citation_date" content="2024-12" /> <meta name="citation_abstract_html_url" content="https://oasis.postech.ac.kr/handle/2014.oak/124620" /> <link rel="stylesheet" href="/css/bootstrap.min.css" defer /> <link rel="stylesheet" href="/css/layout.css" async /> <link rel="stylesheet" href="/css/mquery.css" defer /> <link rel="stylesheet" href="/css/slidebars.css" defer /> <!-- Slidebars CSS --> <link rel="stylesheet" href="/css/owl.carousel.css" defer /> <!-- Owl Carousel Assets --> <link rel="stylesheet" href="/css/owl.theme.css" defer /> <link rel="stylesheet" href="/css/bootstrap-partof.css" defer /> <script src="/js/jquery-1.9.1.min.js"></script> <script src="/js/jquery-ui.js"></script> <script src="/js/bootstrap.min.js"></script> <script src="/js/owl.carousel.min.js"></script> <script src="/js/common.js" defer></script> <script src="/utils.js" defer></script> <script src="/static/js/holder.js" defer></script> <script src="/static/js/choice-support.js" defer></script> <script src="/js/ms-clarity.js"></script> <script async src="https://www.googletagmanager.com/gtag/js?id=G-B9EHYYGM78"></script> <script> window.dataLayer = window.dataLayer || []; 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Observation data with a spatial resolution of a few kilometers are crucial for downscaling and bias-correcting GCMs at finer resolutions. However, Nepal's extreme topography and organizational challenges have led to uneven distribution of meteorological stations and inconsistent data quality. Moreover, CMIP6-based climate extremes projections for the entire country are currently unavailable. To tackle these challenges, we developed a comprehensive national database for Nepal, offering high-resolution historical and projected precipitation and temperature data analyzed through 25 climate extreme indices from the Expert Team on Climate Change Detection and Indices (ETCCDI). Initially, observation grid data were prepared at a daily timescale with a spatial resolution of 0.05° × 0.05° for baseline period (1981–2010) using the Asian Precipitation High-Resolved Observational Data Integration Toward Evaluation (APHRODITE), the fifth generation of the European Centre for Medium-Range Weather Forecasts Reanalysis (ERA5), and available good quality observed climate data. This data was then utilized to downscale and bias-correct 18 CMIP6 GCMs for 2015–2100 under four SSPs (1–2.6, 2–4.5, 3–7.0, 5–8.5). Quantile mapping was employed for the bias correction of the CMIP6 GCMs. The performance of the multimodal ensemble (MME) indicated better Nash-Sutcliffe Efficiency (NSE), root mean square error ratio (RSR), and Percent Bias (PBIAS) of climate extreme indices for the historical period. A comparative analysis was conducted across Nepal's major geographic regions to account for spatial variability in regional climate systems. The finer-resolution dataset can be crucial to deepen our understanding of climate impacts, and climate change, and eventually informing the policy-making in Nepal. Moreover, the methodology can be effectively replicated in data-scarce developing nations to promote climate research and adaptation efforts.</dd></dl> <dl><dt>URI</dt><dd><a href="https://oasis.postech.ac.kr/handle/2014.oak/124620" class="link_type">https://oasis.postech.ac.kr/handle/2014.oak/124620</a></dd></dl> <dl><dt>DOI</dt><dd><a href="http://dx.doi.org/10.1016/j.atmosres.2024.107720">10.1016/j.atmosres.2024.107720</a></dd></dl> <dl><dt>ISSN</dt><dd>0169-8095</dd></dl> <dl><dt>Article Type</dt><dd>Article</dd></dl> <dl><dt>Citation</dt><dd>Atmospheric Research, vol. 311, 2024-12</dd></dl> <dl class="file_item_dl"><dt>Files in This Item:</dt> <dd class="file_download">There are no files associated with this item.</dd> </dl> </div> <div class="record_bt_box"> <a href="/handle/2014.oak/124620?mode=full">Show full item record</a> </div> <div class="al_right"> </div> <div class="sns_wrap"> <div class="sns_box"> <p class="qr_box"><img src="https://api.qrserver.com/v1/create-qr-code/?size=66x66&data=https://oasis.postech.ac.kr/handle/2014.oak/124620" alt="qr_code"></p> <div class="sns_inner"> <ul> <li> <p><a href="http://www.mendeley.com/import/?url=https://oasis.postech.ac.kr/handle/2014.oak/124620" target="_blank"><img src="/image/common/mendeley_icon.gif" alt="mendeley" /></a></p> <p class="twitter_box"> <a href="https://twitter.com/share" class="tweet_bt twitter-share-button" data-lang="en" data-size="large" data-dnt="true">트윗하기</a> <script> !function(d, s, id) { var js, fjs = d.getElementsByTagName(s)[0]; if (!d.getElementById(id)) { js = d.createElement(s); js.id = id; js.src = "//platform.twitter.com/widgets.js"; fjs.parentNode.insertBefore(js, fjs); } }(document, "script", "twitter-wjs"); </script> </p> </li> <li class="facebook_li"> <span id="fb-root"></span> <script> (function(d, s, id) { var js, fjs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) return; js = d.createElement(s); js.id = id; js.src = "//connect.facebook.net/ko_KR/all.js#xfbml=1"; fjs.parentNode.insertBefore(js, fjs); }(document, 'script', 'facebook-jssdk')); </script> <span class="fb-like" data-send="true" data-layout="standard" data-width="450" data-show-faces="false" data-font="verdana"></span> </li> </ul> </div> </div><!-- sns_box : e--> <p class="sns_text"> <span> Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.</span> </p> </div> </div> </div> <!-- sub_contents : e --><!-- Footer 에서 처리 --> <div class="sub_right_box"> <div class="w_cc"> <h4 class="widget_title">Communities & Collection</h4> <ul> <li><a href="/handle/2014.oak/458" class="cc_item">General Graduate School> Environmental Engineering (일반대학원 환경공학부)</a> <ul> <li><a href="/handle/2014.oak/459">1. 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