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Title: Impact of Earth Greening on the Terrestrial Water Cycle

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 havemore » 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.« less

Authors:
 [1];  [2];  [3];  [4];  [5];  [1];  [6];  [7];  [7];  [8]
  1. Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
  2. Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China, 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. Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
  5. Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China, Laboratoire des Sciences du Climat et de l’Environnement, CEA-CNRS-UVSQ, Gif-sur-Yvette, France
  6. CSIRO Land and Water, Black Mountain, Canberra, Australian Capital Territory, Australia
  7. Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, Tennessee
  8. Department of Earth and Environment, Boston University, Boston, Massachusetts
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1423728
Alternate Identifier(s):
OSTI ID: 1515690
Grant/Contract Number:  
RUBISCO SFA; AC05-00OR22725
Resource Type:
Published Article
Journal Name:
Journal of Climate
Additional Journal Information:
Journal Name: Journal of Climate Journal Volume: 31 Journal Issue: 7; Journal ID: ISSN 0894-8755
Publisher:
American Meteorological Society
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Atmosphere-land interaction; Vegetation-atmosphere interactions; Vegetation; Evapotranspiration; Feedback

Citation Formats

Zeng, Zhenzhong, Piao, Shilong, Li, Laurent Z. X., Wang, Tao, Ciais, Philippe, Lian, Xu, Yang, Yuting, Mao, Jiafu, Shi, Xiaoying, and Myneni, Ranga B. Impact of Earth Greening on the Terrestrial Water Cycle. United States: N. p., 2018. Web. doi:10.1175/JCLI-D-17-0236.1.
Zeng, Zhenzhong, Piao, Shilong, Li, Laurent Z. X., Wang, Tao, Ciais, Philippe, Lian, Xu, Yang, Yuting, Mao, Jiafu, Shi, Xiaoying, & Myneni, Ranga B. Impact of Earth Greening on the Terrestrial Water Cycle. United States. https://doi.org/10.1175/JCLI-D-17-0236.1
Zeng, Zhenzhong, Piao, Shilong, Li, Laurent Z. X., Wang, Tao, Ciais, Philippe, Lian, Xu, Yang, Yuting, Mao, Jiafu, Shi, Xiaoying, and Myneni, Ranga B. Sun . "Impact of Earth Greening on the Terrestrial Water Cycle". United States. https://doi.org/10.1175/JCLI-D-17-0236.1.
@article{osti_1423728,
title = {Impact of Earth Greening on the Terrestrial Water Cycle},
author = {Zeng, Zhenzhong and Piao, Shilong and Li, Laurent Z. X. and Wang, Tao and Ciais, Philippe and Lian, Xu and Yang, Yuting and Mao, Jiafu and Shi, Xiaoying and Myneni, Ranga B.},
abstractNote = {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.},
doi = {10.1175/JCLI-D-17-0236.1},
journal = {Journal of Climate},
number = 7,
volume = 31,
place = {United States},
year = {Sun Apr 01 00:00:00 EDT 2018},
month = {Sun Apr 01 00:00:00 EDT 2018}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1175/JCLI-D-17-0236.1

Citation Metrics:
Cited by: 87 works
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Figures / Tables:

Table 1 Table 1: Trends of land precipitation ( $P$$L$ ), land evapotranspiration ( $E$$L$ ), and ocean-land water transport ( $E$$O$ - $P$$O$) in the AMIP_STD, AMIP_LAI ensemble simulations. ***, significance at $p$ < 0.01; **, significance at $p$ < 0.05; *, significance at $p$ < 0.1. Uncertainty is the standardmore » error of the trend.« less

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Works referencing / citing this record:

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