Evaluating consistency between total column CO2 retrievals from OCO-2 and the in situ network over North America: implications for carbon flux estimation
Bharat Rastogi,John B. Miller,Micheal Trudeau,Arlyn E. Andrews,Lei Hu,Marikate Mountain,Thomas Nehrkorn,Bianca Baier,Kathryn McKain,John Mund,Kaiyu Guan,and Caroline B. Alden
Department of Natural Resources and Environmental Sciences, College of Agriculture, Consumer, and Environmental Sciences, University of Illinois Urbana-Champaign, Urbana, IL 60801, USA
Caroline B. Alden
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO 80309, USA
Global Monitoring Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO 80305, USA
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Total article views: 4,310 (including HTML, PDF, and XML)
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Total article views: 3,098 (including HTML, PDF, and XML)
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Total article views: 1,212 (including HTML, PDF, and XML)
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Predicting Earth's climate is difficult, partly due to uncertainty in forecasting how much CO2 can be removed by oceans and plants, because we cannot measure these exchanges directly on large scales. Satellites such as NASA's OCO-2 can provide part of the needed information, but data need to be highly precise and accurate. We evaluate these data and find small biases in certain months that are similar to the signals of interest. We argue that continued improvement of these data is necessary.
Predicting Earth's climate is difficult, partly due to uncertainty in forecasting how much CO2...
