Impact of Earth Greening on the Terrestrial Water Cycle

Author:

Zeng Zhenzhong1,Piao Shilong12,Li Laurent Z. X.3,Wang Tao2,Ciais Philippe14,Lian Xu1,Yang Yuting5,Mao Jiafu6,Shi Xiaoying6,Myneni Ranga B.7

Affiliation:

1. Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China

2. Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China

3. Laboratoire de Météorologie Dynamique, CNRS, Sorbonne Université, UPMC Université Paris 06, Paris, France

4. Laboratoire des Sciences du Climat et de l’Environnement, CEA-CNRS-UVSQ, Gif-sur-Yvette, France

5. CSIRO Land and Water, Black Mountain, Canberra, Australian Capital Territory, Australia

6. Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, Tennessee

7. Department of Earth and Environment, Boston University, Boston, Massachusetts

Abstract

Leaf area index (LAI) is increasing throughout the globe, implying Earth greening. Global modeling studies support this contention, yet satellite observations and model simulations have never been directly compared. Here, for the first time, a coupled land–climate model was used to quantify the potential impact of the satellite-observed Earth greening over the past 30 years on the terrestrial water cycle. The global LAI enhancement of 8% between the early 1980s and the early 2010s is modeled to have caused increases of 12.0 ± 2.4 mm yr−1 in evapotranspiration and 12.1 ± 2.7 mm yr−1 in precipitation—about 55% ± 25% and 28% ± 6% of the observed increases in land evapotranspiration and precipitation, respectively. In wet regions, the greening did not significantly decrease runoff and soil moisture because it intensified moisture recycling through a coincident increase of evapotranspiration and precipitation. But in dry regions, including the Sahel, west Asia, northern India, the western United States, and the Mediterranean coast, the greening was modeled to significantly decrease soil moisture through its coupling with the atmospheric water cycle. This modeled soil moisture response, however, might have biases resulting from the precipitation biases in the model. For example, the model dry bias might have underestimated the soil moisture response in the observed dry area (e.g., the Sahel and northern India) given that the modeled soil moisture is near the wilting point. Thus, an accurate representation of precipitation and its feedbacks in Earth system models is essential for simulations and predictions of how soil moisture responds to LAI changes, and therefore how the terrestrial water cycle responds to climate change.

Funder

the National Natural Science Foundation of China

National Youth Top-notch Talent Support Program in China

the 111 Project

Biological and Environmental Research

U.S. Department of Energy

ANR China-Trend-Stream

Publisher

American Meteorological Society

Subject

Atmospheric Science

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