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A large-scale methane model by incorporating the surface water transport

Published:2016-06 Issue:6 Volume:121 Page:1657-1674
ISSN:2169-8953
Container-title:Journal of Geophysical Research: Biogeosciences
language:en
Short-container-title:J. Geophys. Res. Biogeosci.

Author:

Lu Xiaoliang¹²,Zhuang Qianlai³,Liu Yaling⁴,Zhou Yuyu⁵,Aghakouchak Amir⁶

Affiliation:

1. Ecosystems Center, Marine Biological Laboratory; Woods Hole Massachusetts USA

2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth; Chinese Academy of Sciences; Beijing China

3. Department of Earth, Atmospheric, and Planetary Sciences; Purdue University; West Lafayette Indiana USA

4. Pacific Northwest National Laboratory; Joint Global Change Research Institute; College Park Maryland USA

5. Department of Geological and Atmospheric Sciences; Iowa State University of Science and Technology; Ames Iowa USA

6. Department of Civil and Environmental Engineering; University of California; Irvine California USA

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Atmospheric Science,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2016JG003321/fullpdf

Reference66 articles.

1. Reduction in areal extent of high-latitude wetlands in response to permafrost thaw;Avis;Nat. Geosci.,2011

2. A physically based, variable contributing area model of basin hydrology;Beven;Hydrol. Sci. Bull.,1979

3. Testing the distributed water table predictions of TOPMODEL (allowing for uncertainty in model calibration): The death of TOPMODEL?;Blazkova;Water Resour. Res.,2002

4. Large-scale controls of methanogenesis inferred from methane and gravity spaceborne data;Bloom;Science,2010

5. Methane emissions from western Siberian wetlands: Heterogeneity and sensitivity to climate change;Bohn;Environ. Res. Lett.,2007

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