001     1021923
005     20240226075414.0
024 7 _ |a 10.34734/FZJ-2024-01071
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037 _ _ |a FZJ-2024-01071
041 _ _ |a English
100 1 _ |a Zhang, Yikui
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111 2 _ |a American Geophysical Union Fall Meeting 2023
|c San Francisco
|d 2023-12-11 - 2023-12-15
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245 _ _ |a Analysis of Cloud Water Scaling to Surface Moisture Fluxes from Fully Coupled Terrestrial Simulations
260 _ _ |c 2023
336 7 _ |a Conference Paper
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520 _ _ |a Land-atmosphere (L-A) coupling is important for understanding regional climate functioning and influencing hydrometeorological extremes such as droughts and heatwaves, but accurate determination of L-A coupling strength is difficult due to complex feedback loops and varying background atmospheric conditions. The role of clouds is often ignored or simplified in previous L-A coupling studies, and the non-linear control of evapotranspiration (ET) on cloud formation and convection is poorly understood.This study aims to diagnose the feedback between surface moisture fluxes and cloud moisture under different atmospheric conditions to improve our understanding of L-A coupling, based on simulations with a fully coupled regional climate model, the Terrestrial Systems Modelling Platform (TSMP), over the COrdinated Regional Downscaling EXperiment (CORDEX) EUR-11 domain at about 12 km resolution from 1979 to 2021. We investigated the L-A coupling strength by calculating the Pearson correlation coefficient and estimating the scaling relationship between ET, boundary layer variables, cloud water content and its dynamics (ΔTQC/Δt) under dry/wet and low/medium/high atmospheric moisture dynamic regimes. In addition, the co-variability of ΔTQC/Δt on ET and moisture flux dynamics is quantified based on the quantile phase plot.The analysis indicates a positive role of surface moisture flux in influencing cloud moisture dynamics. The coupling hotspots between surface moisture flux and cloud moisture in Europe are mainly identified in the water-limited regions of Eastern Europe and the Mediterranean. Two types of scaling relationships were classified by K-means clustering over all grid points with a clear north-south contrast, and local dry/wet conditions could be the determining factor. Furthermore, the coupling analysis highlights the role of enhanced moisture flux dynamics in reducing the strength of the local L-A moisture flux coupling, and it can determine the scaling types of ET-ΔTQC/Δt at the local scale.
536 _ _ |a 2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)
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536 _ _ |a SFB 1502 D02 - Simulation anthropogen bedingter Veränderungen in regionalen Wasser- und Energiekreisläufen (D02) (495897999)
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650 1 7 |a Earth, Environment and Cultural Heritage
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700 1 _ |a Wangner, Niklas
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700 1 _ |a Görgen, Klaus
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700 1 _ |a Kollet, Stefan
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