Summer evapotranspiration-cloud feedbacks in land-atmosphere interactions over Europe
Land-atmosphere (L-A) feedbacks are important for understanding regional climate functioning. However, the accurate quantification of feedback strength is challenging due to complex, nonlinear interactions and varying background atmospheric conditions. In particular, the role of cloud water in the t...
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| Veröffentlicht in: | Climate dynamics 2024-12, Vol.62 (12), p.10767-10783 |
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| creator | Zhang, Yikui Wagner, Niklas Goergen, Klaus Kollet, Stefan |
| description | Land-atmosphere (L-A) feedbacks are important for understanding regional climate functioning. However, the accurate quantification of feedback strength is challenging due to complex, nonlinear interactions and varying background atmospheric conditions. In particular, the role of cloud water in the terrestrial water cycle is often ignored or simplified in previous L-A feedback studies, which overlook the relationship between evapotranspiration (
ET
) and cloud water (
TQC
). This study diagnoses the interactions between
,
and its dynamics (
) under different atmospheric conditions by conducting correlation and a novel scaling analysis, based on a coupled regional climate model simulation. Contrasting correlation relationships between
,
and
were identified, indicating the positive feedback between
and the dynamics in cloud water. Two types of positive scaling relationships between
and
were identified by K-means clustering. The analysis shows a contrasting north-south distribution of the scaling relationship that is similar to the spatial distribution of energy-limited and water-limited
regimes, highlighting the role of ET regimes in modulating the
-
scaling relationships. Moreover, the feedback strength and scaling relationship are affected by atmospheric moisture flux dynamics, providing remote moisture sources and altering dry/wet conditions. Our results highlight the role of cloud water in the atmospheric part of the L-A process chain and reveal the effect of different atmospheric conditions on L-A interactions based on the new analysis framework. |
| doi_str_mv | 10.1007/s00382-024-07475-w |
| format | Article |
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ET
) and cloud water (
TQC
). This study diagnoses the interactions between
,
and its dynamics (
) under different atmospheric conditions by conducting correlation and a novel scaling analysis, based on a coupled regional climate model simulation. Contrasting correlation relationships between
,
and
were identified, indicating the positive feedback between
and the dynamics in cloud water. Two types of positive scaling relationships between
and
were identified by K-means clustering. The analysis shows a contrasting north-south distribution of the scaling relationship that is similar to the spatial distribution of energy-limited and water-limited
regimes, highlighting the role of ET regimes in modulating the
-
scaling relationships. Moreover, the feedback strength and scaling relationship are affected by atmospheric moisture flux dynamics, providing remote moisture sources and altering dry/wet conditions. Our results highlight the role of cloud water in the atmospheric part of the L-A process chain and reveal the effect of different atmospheric conditions on L-A interactions based on the new analysis framework.</description><identifier>ISSN: 0930-7575</identifier><identifier>EISSN: 1432-0894</identifier><identifier>DOI: 10.1007/s00382-024-07475-w</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Atmosphere ; Atmospheric conditions ; Atmospheric moisture ; Climate ; Climate models ; Climatology ; Cloud water ; Clouds ; Cluster analysis ; Clustering ; Datasets ; Drought ; Earth and Environmental Science ; Earth Sciences ; Energy distribution ; Energy limitation ; Evapotranspiration ; Feedback ; Geophysics/Geodesy ; Hydrologic cycle ; Hydrological cycle ; Moisture flux ; Moisture transfer ; Oceanography ; Original Article ; Positive feedback ; Precipitation ; Radiation ; Regional analysis ; Regional climate models ; Regional climates ; Regions ; Scaling ; Simulation ; Spatial distribution ; Vector quantization ; Water</subject><ispartof>Climate dynamics, 2024-12, Vol.62 (12), p.10767-10783</ispartof><rights>The Author(s) 2024</rights><rights>The Author(s) 2024. 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><cites>FETCH-LOGICAL-c200t-49a5fd1193f90c052322d5f91e2daa338b600b9f546365f852c45e29700538253</cites><orcidid>0000-0002-1998-1529</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00382-024-07475-w$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00382-024-07475-w$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Zhang, Yikui</creatorcontrib><creatorcontrib>Wagner, Niklas</creatorcontrib><creatorcontrib>Goergen, Klaus</creatorcontrib><creatorcontrib>Kollet, Stefan</creatorcontrib><title>Summer evapotranspiration-cloud feedbacks in land-atmosphere interactions over Europe</title><title>Climate dynamics</title><addtitle>Clim Dyn</addtitle><description>Land-atmosphere (L-A) feedbacks are important for understanding regional climate functioning. However, the accurate quantification of feedback strength is challenging due to complex, nonlinear interactions and varying background atmospheric conditions. In particular, the role of cloud water in the terrestrial water cycle is often ignored or simplified in previous L-A feedback studies, which overlook the relationship between evapotranspiration (
ET
) and cloud water (
TQC
). This study diagnoses the interactions between
,
and its dynamics (
) under different atmospheric conditions by conducting correlation and a novel scaling analysis, based on a coupled regional climate model simulation. Contrasting correlation relationships between
,
and
were identified, indicating the positive feedback between
and the dynamics in cloud water. Two types of positive scaling relationships between
and
were identified by K-means clustering. The analysis shows a contrasting north-south distribution of the scaling relationship that is similar to the spatial distribution of energy-limited and water-limited
regimes, highlighting the role of ET regimes in modulating the
-
scaling relationships. Moreover, the feedback strength and scaling relationship are affected by atmospheric moisture flux dynamics, providing remote moisture sources and altering dry/wet conditions. Our results highlight the role of cloud water in the atmospheric part of the L-A process chain and reveal the effect of different atmospheric conditions on L-A interactions based on the new analysis framework.</description><subject>Atmosphere</subject><subject>Atmospheric conditions</subject><subject>Atmospheric moisture</subject><subject>Climate</subject><subject>Climate models</subject><subject>Climatology</subject><subject>Cloud water</subject><subject>Clouds</subject><subject>Cluster analysis</subject><subject>Clustering</subject><subject>Datasets</subject><subject>Drought</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Energy distribution</subject><subject>Energy limitation</subject><subject>Evapotranspiration</subject><subject>Feedback</subject><subject>Geophysics/Geodesy</subject><subject>Hydrologic cycle</subject><subject>Hydrological cycle</subject><subject>Moisture flux</subject><subject>Moisture transfer</subject><subject>Oceanography</subject><subject>Original Article</subject><subject>Positive feedback</subject><subject>Precipitation</subject><subject>Radiation</subject><subject>Regional analysis</subject><subject>Regional climate models</subject><subject>Regional climates</subject><subject>Regions</subject><subject>Scaling</subject><subject>Simulation</subject><subject>Spatial distribution</subject><subject>Vector quantization</subject><subject>Water</subject><issn>0930-7575</issn><issn>1432-0894</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><recordid>eNp9kE1LxDAQhoMouK7-AU8Fz9HJV9McZVk_QPCgew7ZNNGu26Ym7S7-e7NW8OZpYHjed5gHoUsC1wRA3iQAVlEMlGOQXAq8P0IzwlleVYofoxkoBlgKKU7RWUobAMJLSWdo9TK2rYuF25k-DNF0qW-iGZrQYbsNY1145-q1sR-paLpia7oam6ENqX930eXV4KKxBzwVYZd7lmMMvTtHJ95sk7v4nXO0ulu-Lh7w0_P94-L2CVsKMGCujPA1IYp5BRYEZZTWwiviaG0MY9W6BFgrL3jJSuErQS0XjioJIPK7gs3R1dTbx_A5ujToTRhjl09qRmjFpRKUZ4pOlI0hpei87mPTmvilCeiDPj3p01mf_tGn9znEplDKcPfm4l_1P6lvplRzZA</recordid><startdate>20241201</startdate><enddate>20241201</enddate><creator>Zhang, Yikui</creator><creator>Wagner, Niklas</creator><creator>Goergen, Klaus</creator><creator>Kollet, Stefan</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0002-1998-1529</orcidid></search><sort><creationdate>20241201</creationdate><title>Summer evapotranspiration-cloud feedbacks in land-atmosphere interactions over Europe</title><author>Zhang, Yikui ; Wagner, Niklas ; Goergen, Klaus ; Kollet, Stefan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c200t-49a5fd1193f90c052322d5f91e2daa338b600b9f546365f852c45e29700538253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Atmosphere</topic><topic>Atmospheric conditions</topic><topic>Atmospheric moisture</topic><topic>Climate</topic><topic>Climate models</topic><topic>Climatology</topic><topic>Cloud water</topic><topic>Clouds</topic><topic>Cluster analysis</topic><topic>Clustering</topic><topic>Datasets</topic><topic>Drought</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Energy distribution</topic><topic>Energy limitation</topic><topic>Evapotranspiration</topic><topic>Feedback</topic><topic>Geophysics/Geodesy</topic><topic>Hydrologic cycle</topic><topic>Hydrological cycle</topic><topic>Moisture flux</topic><topic>Moisture transfer</topic><topic>Oceanography</topic><topic>Original Article</topic><topic>Positive feedback</topic><topic>Precipitation</topic><topic>Radiation</topic><topic>Regional analysis</topic><topic>Regional climate models</topic><topic>Regional climates</topic><topic>Regions</topic><topic>Scaling</topic><topic>Simulation</topic><topic>Spatial distribution</topic><topic>Vector quantization</topic><topic>Water</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Yikui</creatorcontrib><creatorcontrib>Wagner, Niklas</creatorcontrib><creatorcontrib>Goergen, Klaus</creatorcontrib><creatorcontrib>Kollet, Stefan</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</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>Climate dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Yikui</au><au>Wagner, Niklas</au><au>Goergen, Klaus</au><au>Kollet, Stefan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Summer evapotranspiration-cloud feedbacks in land-atmosphere interactions over Europe</atitle><jtitle>Climate dynamics</jtitle><stitle>Clim Dyn</stitle><date>2024-12-01</date><risdate>2024</risdate><volume>62</volume><issue>12</issue><spage>10767</spage><epage>10783</epage><pages>10767-10783</pages><issn>0930-7575</issn><eissn>1432-0894</eissn><abstract>Land-atmosphere (L-A) feedbacks are important for understanding regional climate functioning. However, the accurate quantification of feedback strength is challenging due to complex, nonlinear interactions and varying background atmospheric conditions. In particular, the role of cloud water in the terrestrial water cycle is often ignored or simplified in previous L-A feedback studies, which overlook the relationship between evapotranspiration (
ET
) and cloud water (
TQC
). This study diagnoses the interactions between
,
and its dynamics (
) under different atmospheric conditions by conducting correlation and a novel scaling analysis, based on a coupled regional climate model simulation. Contrasting correlation relationships between
,
and
were identified, indicating the positive feedback between
and the dynamics in cloud water. Two types of positive scaling relationships between
and
were identified by K-means clustering. The analysis shows a contrasting north-south distribution of the scaling relationship that is similar to the spatial distribution of energy-limited and water-limited
regimes, highlighting the role of ET regimes in modulating the
-
scaling relationships. Moreover, the feedback strength and scaling relationship are affected by atmospheric moisture flux dynamics, providing remote moisture sources and altering dry/wet conditions. Our results highlight the role of cloud water in the atmospheric part of the L-A process chain and reveal the effect of different atmospheric conditions on L-A interactions based on the new analysis framework.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00382-024-07475-w</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-1998-1529</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Atmosphere Atmospheric conditions Atmospheric moisture Climate Climate models Climatology Cloud water Clouds Cluster analysis Clustering Datasets Drought Earth and Environmental Science Earth Sciences Energy distribution Energy limitation Evapotranspiration Feedback Geophysics/Geodesy Hydrologic cycle Hydrological cycle Moisture flux Moisture transfer Oceanography Original Article Positive feedback Precipitation Radiation Regional analysis Regional climate models Regional climates Regions Scaling Simulation Spatial distribution Vector quantization Water |
| title | Summer evapotranspiration-cloud feedbacks in land-atmosphere interactions over Europe |
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