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Jun Yang, Peng Gong, Rong Fu, Minghua Zhang, Jingming Chen, Shunlin Liang, Bing Xu, Jiancheng Shi & Robert Dickinson

 

Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing 100084, China;

State Key Lab of Remote Sensing Science, jointly sponsored by the Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, and Beijing Normal University, Beijing 100101, China;

Department of Environmental Science, Policy and Management, University of California, Berkeley, California 94720, USA;

Jackson School of Geosciences, University of Texas, Austin, Texas 78712, USA;

School of Marine and Atmospheric Sciences, State University of New York, Stony Brook, New York 11794, USA;

International Institute for Earth System Science, Nanjing University, Nanjing 210093, China;

Department of Geography and City Planning, University of Toronto, Toronto, Ontario M5S 3G3, Canada;

College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;

Department of Geography, University of Maryland, College Park, Maryland 20742, USA;

College of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China.

 

Abstract

Satellite remote sensing has provided major advances in understanding the climate system and its changes, by quantifying processes and spatio-temporal states of the atmosphere, land and oceans. In this Review, we highlight some important discoveries about the climate system that have not been detected by climate models and conventional observations; for example, the spatial pattern of sea-level rise and the cooling effects of increased stratospheric aerosols. New insights are made feasible by the unparalleled global- and fine-scale spatial coverage of satellite observations. Nevertheless, the short duration of observation series and their uncertainties still pose challenges for capturing the robust long-term trends of many climate variables. We point out the need for future work and future systems to make better use of remote sensing in climate change studies.

 

PUBLISHED BY: NATURE CLIMATE CHANGE, 2013, 3: 875–883.

 

SOURCE: http://www.nature.com/nclimate/journal/v3/n10/full/nclimate1908.html#affil-auth