Quantifying spatiotemporal variations and driving factors of the energy budget in the Loess Plateau
The land surface energy exchange indirectly describes the energy forcing effect of solar radiation on the atmospheric system. Exploring the exchange process is of great significance to understand the formation and change of weather and climate. Based on the ERA5 reanalysis data and a process‐based l...
Gespeichert in:
Veröffentlicht in: | International journal of climatology 2023-04, Vol.43 (5), p.2062-2076 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2076 |
---|---|
container_issue | 5 |
container_start_page | 2062 |
container_title | International journal of climatology |
container_volume | 43 |
creator | Fen, Gou Wei, Liang Jianwu, Yan Zhigang, Chen Shaobo, Sun Zhao, Jin Weibin, Zhang |
description | The land surface energy exchange indirectly describes the energy forcing effect of solar radiation on the atmospheric system. Exploring the exchange process is of great significance to understand the formation and change of weather and climate. Based on the ERA5 reanalysis data and a process‐based land surface model (the Ecosystem‐Atmosphere Simulation Scheme), this study analysed the spatiotemporal variations and influencing factors in the energy budget in the Loess Plateau (LP). The results showed that from 1990 to 2017, the average annual surface net radiation (Rn) and latent heat (LE) in the LP showed a decreasing trend. The Rn and LE presented an increased spatial pattern from northwest to southeast. On a monthly scale, the Grain for Green (GFG) project amplified the negative effect in the period of November to February and September, but diminished the negative effect in other months. Climate change contributed more to energy exchange than land cover change during the study period. Our results provide useful information for developing adaptive strategies for the region to adapt to global climate change.
In the past 30 years, the multiyear averages of Rn and LE of the LP were 71.3 and 41.52 W·m−2, respectively. The multiyear surface energy budget in the LP had obvious seasonal variation characteristics. |
doi_str_mv | 10.1002/joc.7963 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2793790679</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2793790679</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2543-7e13d91b1aa98cf94340d8298506c027bfd031a5fac3f4ba064d10410fa970c43</originalsourceid><addsrcrecordid>eNp1kM9LwzAcxYMoOKfgnxDw4qXzmyZrk6MMf1KYgp5LmiYzo2tqkk7639tuXj09eHzee_AQuiawIADp3dapRS4yeoJmBESeAHB-imbAhUg4I_wcXYSwBQAhSDZD6r2XbbRmsO0Gh05G66Ledc7LBu-lt5PRBizbGtfe7ifKSBWdD9gZHL801q32mwFXfb3REdv2YBZOh4DfGhm17C_RmZFN0Fd_Okefjw8fq-ekWD-9rO6LRKVLRpNcE1oLUhEpBVdGMMqg5qngS8gUpHllaqBELsd9alglIWM1AUbASJGDYnSObo69nXffvQ6x3Lret-NkmeaC5gKyUebo9kgp70Lw2pSdtzvph5JAOV04plQ5XTiiyRH9sY0e_uXK1_XqwP8CLrZzBg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2793790679</pqid></control><display><type>article</type><title>Quantifying spatiotemporal variations and driving factors of the energy budget in the Loess Plateau</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Fen, Gou ; Wei, Liang ; Jianwu, Yan ; Zhigang, Chen ; Shaobo, Sun ; Zhao, Jin ; Weibin, Zhang</creator><creatorcontrib>Fen, Gou ; Wei, Liang ; Jianwu, Yan ; Zhigang, Chen ; Shaobo, Sun ; Zhao, Jin ; Weibin, Zhang</creatorcontrib><description>The land surface energy exchange indirectly describes the energy forcing effect of solar radiation on the atmospheric system. Exploring the exchange process is of great significance to understand the formation and change of weather and climate. Based on the ERA5 reanalysis data and a process‐based land surface model (the Ecosystem‐Atmosphere Simulation Scheme), this study analysed the spatiotemporal variations and influencing factors in the energy budget in the Loess Plateau (LP). The results showed that from 1990 to 2017, the average annual surface net radiation (Rn) and latent heat (LE) in the LP showed a decreasing trend. The Rn and LE presented an increased spatial pattern from northwest to southeast. On a monthly scale, the Grain for Green (GFG) project amplified the negative effect in the period of November to February and September, but diminished the negative effect in other months. Climate change contributed more to energy exchange than land cover change during the study period. Our results provide useful information for developing adaptive strategies for the region to adapt to global climate change.
In the past 30 years, the multiyear averages of Rn and LE of the LP were 71.3 and 41.52 W·m−2, respectively. The multiyear surface energy budget in the LP had obvious seasonal variation characteristics.</description><identifier>ISSN: 0899-8418</identifier><identifier>EISSN: 1097-0088</identifier><identifier>DOI: 10.1002/joc.7963</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Climate change ; driving factors ; Ecosystem‐Atmosphere Simulation Scheme ; Energy budget ; Energy exchange ; Energy transfer ; ERA5 reanalysis data ; Exchanging ; Global climate ; Land cover ; Land surface models ; Latent heat ; Net radiation ; Radiation ; Radiation balance ; Solar energy ; Solar radiation ; Solar radiation effects ; spatiotemporal variations ; Surface energy ; surface energy budget ; Surface properties</subject><ispartof>International journal of climatology, 2023-04, Vol.43 (5), p.2062-2076</ispartof><rights>2022 Royal Meteorological Society</rights><rights>2023 Royal Meteorological Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2543-7e13d91b1aa98cf94340d8298506c027bfd031a5fac3f4ba064d10410fa970c43</cites><orcidid>0000-0002-3553-6169</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%2Fjoc.7963$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjoc.7963$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Fen, Gou</creatorcontrib><creatorcontrib>Wei, Liang</creatorcontrib><creatorcontrib>Jianwu, Yan</creatorcontrib><creatorcontrib>Zhigang, Chen</creatorcontrib><creatorcontrib>Shaobo, Sun</creatorcontrib><creatorcontrib>Zhao, Jin</creatorcontrib><creatorcontrib>Weibin, Zhang</creatorcontrib><title>Quantifying spatiotemporal variations and driving factors of the energy budget in the Loess Plateau</title><title>International journal of climatology</title><description>The land surface energy exchange indirectly describes the energy forcing effect of solar radiation on the atmospheric system. Exploring the exchange process is of great significance to understand the formation and change of weather and climate. Based on the ERA5 reanalysis data and a process‐based land surface model (the Ecosystem‐Atmosphere Simulation Scheme), this study analysed the spatiotemporal variations and influencing factors in the energy budget in the Loess Plateau (LP). The results showed that from 1990 to 2017, the average annual surface net radiation (Rn) and latent heat (LE) in the LP showed a decreasing trend. The Rn and LE presented an increased spatial pattern from northwest to southeast. On a monthly scale, the Grain for Green (GFG) project amplified the negative effect in the period of November to February and September, but diminished the negative effect in other months. Climate change contributed more to energy exchange than land cover change during the study period. Our results provide useful information for developing adaptive strategies for the region to adapt to global climate change.
In the past 30 years, the multiyear averages of Rn and LE of the LP were 71.3 and 41.52 W·m−2, respectively. The multiyear surface energy budget in the LP had obvious seasonal variation characteristics.</description><subject>Climate change</subject><subject>driving factors</subject><subject>Ecosystem‐Atmosphere Simulation Scheme</subject><subject>Energy budget</subject><subject>Energy exchange</subject><subject>Energy transfer</subject><subject>ERA5 reanalysis data</subject><subject>Exchanging</subject><subject>Global climate</subject><subject>Land cover</subject><subject>Land surface models</subject><subject>Latent heat</subject><subject>Net radiation</subject><subject>Radiation</subject><subject>Radiation balance</subject><subject>Solar energy</subject><subject>Solar radiation</subject><subject>Solar radiation effects</subject><subject>spatiotemporal variations</subject><subject>Surface energy</subject><subject>surface energy budget</subject><subject>Surface properties</subject><issn>0899-8418</issn><issn>1097-0088</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp1kM9LwzAcxYMoOKfgnxDw4qXzmyZrk6MMf1KYgp5LmiYzo2tqkk7639tuXj09eHzee_AQuiawIADp3dapRS4yeoJmBESeAHB-imbAhUg4I_wcXYSwBQAhSDZD6r2XbbRmsO0Gh05G66Ledc7LBu-lt5PRBizbGtfe7ifKSBWdD9gZHL801q32mwFXfb3REdv2YBZOh4DfGhm17C_RmZFN0Fd_Okefjw8fq-ekWD-9rO6LRKVLRpNcE1oLUhEpBVdGMMqg5qngS8gUpHllaqBELsd9alglIWM1AUbASJGDYnSObo69nXffvQ6x3Lret-NkmeaC5gKyUebo9kgp70Lw2pSdtzvph5JAOV04plQ5XTiiyRH9sY0e_uXK1_XqwP8CLrZzBg</recordid><startdate>202304</startdate><enddate>202304</enddate><creator>Fen, Gou</creator><creator>Wei, Liang</creator><creator>Jianwu, Yan</creator><creator>Zhigang, Chen</creator><creator>Shaobo, Sun</creator><creator>Zhao, Jin</creator><creator>Weibin, Zhang</creator><general>John Wiley & Sons, Ltd</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0002-3553-6169</orcidid></search><sort><creationdate>202304</creationdate><title>Quantifying spatiotemporal variations and driving factors of the energy budget in the Loess Plateau</title><author>Fen, Gou ; Wei, Liang ; Jianwu, Yan ; Zhigang, Chen ; Shaobo, Sun ; Zhao, Jin ; Weibin, Zhang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2543-7e13d91b1aa98cf94340d8298506c027bfd031a5fac3f4ba064d10410fa970c43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Climate change</topic><topic>driving factors</topic><topic>Ecosystem‐Atmosphere Simulation Scheme</topic><topic>Energy budget</topic><topic>Energy exchange</topic><topic>Energy transfer</topic><topic>ERA5 reanalysis data</topic><topic>Exchanging</topic><topic>Global climate</topic><topic>Land cover</topic><topic>Land surface models</topic><topic>Latent heat</topic><topic>Net radiation</topic><topic>Radiation</topic><topic>Radiation balance</topic><topic>Solar energy</topic><topic>Solar radiation</topic><topic>Solar radiation effects</topic><topic>spatiotemporal variations</topic><topic>Surface energy</topic><topic>surface energy budget</topic><topic>Surface properties</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fen, Gou</creatorcontrib><creatorcontrib>Wei, Liang</creatorcontrib><creatorcontrib>Jianwu, Yan</creatorcontrib><creatorcontrib>Zhigang, Chen</creatorcontrib><creatorcontrib>Shaobo, Sun</creatorcontrib><creatorcontrib>Zhao, Jin</creatorcontrib><creatorcontrib>Weibin, Zhang</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</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>International journal of climatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fen, Gou</au><au>Wei, Liang</au><au>Jianwu, Yan</au><au>Zhigang, Chen</au><au>Shaobo, Sun</au><au>Zhao, Jin</au><au>Weibin, Zhang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantifying spatiotemporal variations and driving factors of the energy budget in the Loess Plateau</atitle><jtitle>International journal of climatology</jtitle><date>2023-04</date><risdate>2023</risdate><volume>43</volume><issue>5</issue><spage>2062</spage><epage>2076</epage><pages>2062-2076</pages><issn>0899-8418</issn><eissn>1097-0088</eissn><abstract>The land surface energy exchange indirectly describes the energy forcing effect of solar radiation on the atmospheric system. Exploring the exchange process is of great significance to understand the formation and change of weather and climate. Based on the ERA5 reanalysis data and a process‐based land surface model (the Ecosystem‐Atmosphere Simulation Scheme), this study analysed the spatiotemporal variations and influencing factors in the energy budget in the Loess Plateau (LP). The results showed that from 1990 to 2017, the average annual surface net radiation (Rn) and latent heat (LE) in the LP showed a decreasing trend. The Rn and LE presented an increased spatial pattern from northwest to southeast. On a monthly scale, the Grain for Green (GFG) project amplified the negative effect in the period of November to February and September, but diminished the negative effect in other months. Climate change contributed more to energy exchange than land cover change during the study period. Our results provide useful information for developing adaptive strategies for the region to adapt to global climate change.
In the past 30 years, the multiyear averages of Rn and LE of the LP were 71.3 and 41.52 W·m−2, respectively. The multiyear surface energy budget in the LP had obvious seasonal variation characteristics.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/joc.7963</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-3553-6169</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0899-8418 |
ispartof | International journal of climatology, 2023-04, Vol.43 (5), p.2062-2076 |
issn | 0899-8418 1097-0088 |
language | eng |
recordid | cdi_proquest_journals_2793790679 |
source | Wiley Online Library Journals Frontfile Complete |
subjects | Climate change driving factors Ecosystem‐Atmosphere Simulation Scheme Energy budget Energy exchange Energy transfer ERA5 reanalysis data Exchanging Global climate Land cover Land surface models Latent heat Net radiation Radiation Radiation balance Solar energy Solar radiation Solar radiation effects spatiotemporal variations Surface energy surface energy budget Surface properties |
title | Quantifying spatiotemporal variations and driving factors of the energy budget in the Loess Plateau |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T23%3A01%3A17IST&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=Quantifying%20spatiotemporal%20variations%20and%20driving%20factors%20of%20the%20energy%20budget%20in%20the%20Loess%20Plateau&rft.jtitle=International%20journal%20of%20climatology&rft.au=Fen,%20Gou&rft.date=2023-04&rft.volume=43&rft.issue=5&rft.spage=2062&rft.epage=2076&rft.pages=2062-2076&rft.issn=0899-8418&rft.eissn=1097-0088&rft_id=info:doi/10.1002/joc.7963&rft_dat=%3Cproquest_cross%3E2793790679%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=2793790679&rft_id=info:pmid/&rfr_iscdi=true |