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

Liu, Yun; Kalnay, Eugenia; Zeng, Ning; Asrar, Ghassem; Chen, Zhaohui; Jia, Binghao

doi:10.5194/gmd-12-2899-2019

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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

2019
By Liu, Yun ; Kalnay, Eugenia ; Zeng, Ning ; ...
Source: Geosci. Model Dev., 12, 2899–2914

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Journal Title:

Geoscientific Model Development
Personal Author:

Liu, Yun ; Kalnay, Eugenia ; Zeng, Ning ; Asrar, Ghassem ; Chen, Zhaohui ; ... More +

Liu, Yun ; Kalnay, Eugenia ; Zeng, Ning ; Asrar, Ghassem ; Chen, Zhaohui ; Jia, Binghao Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office)

OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office) Less -
Description:

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).
Keywords:

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Atmospheric Carbon Dioxide Estimates Mathematical Models Observations
Source:

Geosci. Model Dev., 12, 2899–2914
DOI:

https://doi.org/10.5194/gmd-12-2899-2019
Document Type:

Journal Article
Funding:

Grant no. NA10OAR4310248 ; Grant no. NA18OAR4310266

Grant no. NA10OAR4310248 ; Grant no. NA18OAR4310266 Less -
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CC BY
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urn:sha256:b970806bce805e69e6ab797e63cb4c0c6dfb239c6778fc012a24e55c2c4ffa1b
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https://repository.library.noaa.gov/view/noaa/36788/noaa_36788_DS1.pdf
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