Estimating surface carbon fluxes based on a local ensemble transform Kalman filter with a short assimilation window and a long observation window: an observing system simulation experiment test in GEOS-Chem 10.1 Geoscientific Model Development
收藏NOAA Institutional Repository2023-03-02 更新2026-04-25 收录
下载链接：
https://doi.org/10.5194/gmd-12-2899-2019
下载链接
链接失效反馈官方服务：
资源简介：
We developed a carbon data assimilation system to estimate surface carbon fluxes using the local ensemble transform Kalman filter (LETKF) and atmospheric transport model GEOS-Chem driven by the MERRA-1 reanalysis of the meteorological field based on the Goddard Earth Observing System model, version 5 (GEOS-5). Grant no. NA10OAR4310248 Grant no. NA18OAR4310266
提供机构：
NOAA
创建时间：
2023-03-02
