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Simultaneous assimilation of satellite and eddy covariance data for improving terrestrial water and carbon simulations at a semi-arid woodland site in Botswana
2012
Biogeosciences Discussions
Terrestrial productivity in semi-arid woodlands is strongly susceptible to changes in precipitation, and semiarid woodlands constitute an important element of the global water and carbon cycles. Here, we use the Carbon Cycle Data Assimilation System (CCDAS) to investigate the key parameters controlling ecological and hydrological activities for a semi-arid savanna woodland site in Maun, Botswana. Twenty-four eco-hydrological process parameters of a terrestrial ecosystem model are optimized
doi:10.5194/bgd-9-3615-2012
fatcat:tttxui3h7zaklmjw7dqsocfemi