Global carbon assimilation system using a local ensemble Kalman filter with multiple ecosystem models-Reference-Cited by-同舟云学术

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Global carbon assimilation system using a local ensemble Kalman filter with multiple ecosystem models

Published:2014-11 Issue:11 Volume:119 Page:2171-2187
ISSN:2169-8953
Container-title:Journal of Geophysical Research: Biogeosciences
language:en
Short-container-title:J. Geophys. Res. Biogeosci.

Author:

Zhang Shupeng¹,Yi Xue¹,Zheng Xiaogu¹,Chen Zhuoqi¹,Dan Bo¹,Zhang Xuanze¹

Affiliation:

1. College of Global Change and Earth System Science Beijing Normal University Beijing China

Funder

National Program on Key Basic Research Project of China

Publisher

American Geophysical Union (AGU)

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2014JG002792

Reference43 articles.

1. An Ensemble Adjustment Kalman Filter for Data Assimilation

2. An adaptive covariance inflation error correction algorithm for ensemble filters

3. Spatially and temporally varying adaptive covariance inflation for ensemble filters

4. Ball J. T.(1988) An analysis of stomatal conductance PhD thesis 89 pp. Stanford Univ. Stanford Calif.

5. Analysis Scheme in the Ensemble Kalman Filter

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