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      Critical Soil Moisture Derived From Satellite Observations Over Europe

      한글로보기

      https://www.riss.kr/link?id=O118962696

      • 저자
      • 발행기관
      • 학술지명
      • 권호사항
      • 발행연도

        2020년

      • 작성언어

        -

      • Print ISSN

        2169-897X

      • Online ISSN

        2169-8996

      • 등재정보

        SCOPUS;SCIE

      • 자료형태

        학술저널

      • 수록면

        n/a-n/a   [※수록면이 p5 이하이면, Review, Columns, Editor's Note, Abstract 등일 경우가 있습니다.]

      • 구독기관
        • 전북대학교 중앙도서관  
        • 성균관대학교 중앙학술정보관  
        • 부산대학교 중앙도서관  
        • 전남대학교 중앙도서관  
        • 제주대학교 중앙도서관  
        • 중앙대학교 서울캠퍼스 중앙도서관  
        • 인천대학교 학산도서관  
        • 숙명여자대학교 중앙도서관  
        • 서강대학교 로욜라중앙도서관  
        • 계명대학교 동산도서관  
        • 충남대학교 중앙도서관  
        • 한양대학교 백남학술정보관  
        • 이화여자대학교 중앙도서관  
        • 고려대학교 도서관  
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      부가정보

      다국어 초록 (Multilingual Abstract)

      Evapotranspiration (ET) is a crucial quantity through which land surface conditions can impact near‐surface weather and vice versa. ET can be limited by energy or water availability. The transition between water‐ and energy‐limited regimes is marked by the critical soil moisture (CSM), which is traditionally derived from small‐sample laboratory analyses. Here, we aim to determine the CSM at a larger spatial scale relevant for climate modeling, using state‐of‐the‐art gridded data sets. For this purpose, we introduce a new correlation‐difference metric with which the CSM can be accurately inferred using multiple data streams. We perform such an analysis at the continental scale and determine a large‐scale CSM as an emergent property. In addition, we determine small‐scale CSMs at the grid cell scale and find substantial spatial variability. Consistently from both analyses we find that soil texture, climate conditions, and vegetation characteristics are influencing the CSM, with similar respective importance. In contrast, comparable CSMs are found when applying alternative large‐scale energy and vegetation data sets, highlighting the robustness of our results. Based on our findings, the state of the vegetation and corresponding land‐atmosphere coupling can be inferred, to first order, from easily accessible satellite observations of surface soil moisture.
      Water evaporates at the Earth's surface given sufficient soil moisture and incoming radiation. Most water is transpired by plants during photosynthesis. In water limitation, the soil is too dry to support evapotranspiration (ET). When the soil gets wetter, ET will increase. At a characteristic soil moisture, the maximum ET is reached, so that further increases in soil moisture do not further increase ET: this is the critical soil moisture (CSM). When the soil gets wetter than the CSM, ET is controlled by the amount of incoming radiation (energy limitation).
      In this study we determine this CSM in Europe at large spatial scales relevant for climate modelling using satellite data. By applying a novel detection method, we identify at which soil moisture values ET is transitions between water and energy limitation, which denotes the CSM. Results show that the CSM varies in space and is similarly sensitive to soil, climate and vegetation characteristics. This knowledge helps to improve climate models. Further, knowing the local soil moisture respective to the CSM can tell us something about how much available energy at the Earth's surface is used for ET, which aids to more accurately forecast the intensity of droughts and heat waves.


      We introduce a novel correlation‐difference metric with which energy‐ or water‐controlled evaporation regimes can be determined
      The resulting spatial pattern of water‐ versus energy‐limitation in Europe forms an observational constraint for climate models
      Local critical soil moistures allow real‐time diagnosis of land‐atmosphere interactions with easily accessible satellite soil moisture
      번역하기

      Evapotranspiration (ET) is a crucial quantity through which land surface conditions can impact near‐surface weather and vice versa. ET can be limited by energy or water availability. The transition between water‐ and energy‐limited regimes is ma...

      Evapotranspiration (ET) is a crucial quantity through which land surface conditions can impact near‐surface weather and vice versa. ET can be limited by energy or water availability. The transition between water‐ and energy‐limited regimes is marked by the critical soil moisture (CSM), which is traditionally derived from small‐sample laboratory analyses. Here, we aim to determine the CSM at a larger spatial scale relevant for climate modeling, using state‐of‐the‐art gridded data sets. For this purpose, we introduce a new correlation‐difference metric with which the CSM can be accurately inferred using multiple data streams. We perform such an analysis at the continental scale and determine a large‐scale CSM as an emergent property. In addition, we determine small‐scale CSMs at the grid cell scale and find substantial spatial variability. Consistently from both analyses we find that soil texture, climate conditions, and vegetation characteristics are influencing the CSM, with similar respective importance. In contrast, comparable CSMs are found when applying alternative large‐scale energy and vegetation data sets, highlighting the robustness of our results. Based on our findings, the state of the vegetation and corresponding land‐atmosphere coupling can be inferred, to first order, from easily accessible satellite observations of surface soil moisture.
      Water evaporates at the Earth's surface given sufficient soil moisture and incoming radiation. Most water is transpired by plants during photosynthesis. In water limitation, the soil is too dry to support evapotranspiration (ET). When the soil gets wetter, ET will increase. At a characteristic soil moisture, the maximum ET is reached, so that further increases in soil moisture do not further increase ET: this is the critical soil moisture (CSM). When the soil gets wetter than the CSM, ET is controlled by the amount of incoming radiation (energy limitation).
      In this study we determine this CSM in Europe at large spatial scales relevant for climate modelling using satellite data. By applying a novel detection method, we identify at which soil moisture values ET is transitions between water and energy limitation, which denotes the CSM. Results show that the CSM varies in space and is similarly sensitive to soil, climate and vegetation characteristics. This knowledge helps to improve climate models. Further, knowing the local soil moisture respective to the CSM can tell us something about how much available energy at the Earth's surface is used for ET, which aids to more accurately forecast the intensity of droughts and heat waves.


      We introduce a novel correlation‐difference metric with which energy‐ or water‐controlled evaporation regimes can be determined
      The resulting spatial pattern of water‐ versus energy‐limitation in Europe forms an observational constraint for climate models
      Local critical soil moistures allow real‐time diagnosis of land‐atmosphere interactions with easily accessible satellite soil moisture

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