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March 22, 2020

Greg's recent paper shows that the CARDAMOM global carbon cycle model-data fusion system - which avoids parameter uncertainty by optimizing ecosystem parameters at each location but has a relatively simple structure to avoid equifinality - is able to capture NEP seasonal and interannual dynamics as well as TRENDY and CMIP5 can (to within their uncertainty). You can read it here.

February 20, 2020

A team including Krishna Rao and Natan Holtzman won first prize in the 'Best use of Google Cloud' and 'Most Energy-Efficient Sustainable Energy Hack' categories at the Stanford TreeHacks hackathon. Their project combined Krishna's recently created dataset of live fuel moisture content with data on fuel availability and urban proximity. More information is here. Congratulations, Krishna and Natan!

February 11, 2020

Alex has won an NSF CAREER grant from the Terrestrial Ecosystems program at NSF. The intellectual thrust of this five year grant will be to use CARDAMOM to study spatial patters in ecosystem parameters. That is, can more informative alternatives to plant functional types be derived across the globe from remote sensing data? The project will consider several ecosystem parameters, but particularly consider those related to heterotrophic respiration;

January 8, 2020

You can read this article here while it is in review. Greg and Alex contributed to this analysis. This paper uses CARDAMOM to demonstrate that lagged effects (e.g. changes in carbon pool sizes due to climate in previous years) have a greater effect on interannual variability in terrestrial carbon fluxes than direct responses to climate (which are much more commonly studied) do.