Land Cover Impacts on Land‐Atmosphere Coupling Strength in Climate Simulations With WRF Over Europe

天气研究与预报模式 环境科学 植树造林 森林砍伐(计算机科学) 气候学 气候模式 降水 显热 土地覆盖 大气(单位) 大气科学 云量 气候变化 土地利用 气象学 地理 地质学 农林复合经营 云计算 海洋学 计算机科学 程序设计语言 操作系统 土木工程 工程类
作者
Lisa Jach,Kirsten Warrach‐Sagi,Joachim Ingwersen,Eigil Kaas,Volker Wulfmeyer
出处
期刊:Journal Of Geophysical Research: Atmospheres [Wiley]
卷期号:125 (18) 被引量:36
标识
DOI:10.1029/2019jd031989
摘要

Abstract Land use and land cover changes are important human forcings to the Earth's climate. This study examines the land‐atmosphere coupling strength and the relationship between surface fluxes and clouds and precipitation for three land cover scenarios in the European summer. The WRF model was used to simulate one scenario with extreme afforestation, one with extreme deforestation, and one with realistic land cover for the time period between 1986 and 2015. The simulations were forced with ERA‐Interim reanalysis data. The analysis followed a two‐step approach. First, the convective triggering potential–low‐level humidity index framework was applied to locate potential coupling hot spots, which were then analyzed with regard to their sensitivity toward land use and land cover changes. Second, actual feedbacks between evaporative fraction, cloud cover, and precipitation were analyzed statistically with focus on sign and location of the feedbacks. The results demonstrate that coupling hot spots, exhibiting predominantly positive feedbacks, were identified over parts of Eastern Europe and Scandinavia. In this strongly coupled region, afforestation and deforestation modified the atmospheric humidity and stability by changing the surface flux partitioning. Afforestation is associated with a net drying of the atmosphere due to a disproportionately strong increase in the sensible heat flux. In contrast, deforestation initiated a moistening of the atmosphere. The total precipitation changed only in limited areas significantly, which are mostly located in mountainous regions and the northeast of the domain. In summary, the results indicate a land surface influence on the atmospheric background conditions, and an impact on the potential strength of land surface‐precipitation feedbacks.
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