An ensemble square root filter for the joint assimilation of surface soil moisture and leaf area index within the Land Data Assimilation System LDAS-Monde: application over the Euro-Mediterranean region

Bonan, Bertrand; Albergel, Clément; Zheng, Yongjun; Barbu, Alina Lavinia; Fairbairn, David; Munier, Simon; Calvet, Jean-Christophe

doi:10.5194/hess-24-325-2020

Articles | Volume 24, issue 1

https://doi.org/10.5194/hess-24-325-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Hydrological cycle in the Mediterranean (ACP/AMT/GMD/HESS/NHESS/OS...

https://doi.org/10.5194/hess-24-325-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 1

Research article

|

23 Jan 2020

Research article |

| 23 Jan 2020

An ensemble square root filter for the joint assimilation of surface soil moisture and leaf area index within the Land Data Assimilation System LDAS-Monde: application over the Euro-Mediterranean region

Bertrand Bonan, Clément Albergel, Yongjun Zheng, Alina Lavinia Barbu, David Fairbairn, Simon Munier, and Jean-Christophe Calvet

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Cumulative views and downloads (calculated since 20 Aug 2019)

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Dec 2019	21	7	0	28
Jan 2020	181	42	3	226
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Apr 2020	36	23	0	59
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Short summary

This paper introduces an ensemble square root filter (EnSRF), a deterministic ensemble Kalman filter, for jointly assimilating observations of the surface soil moisture and leaf area index in the Land Data Assimilation System LDAS-Monde. LDAS-Monde constrains the Interaction between Soil, Biosphere and Atmosphere (ISBA) land surface model to improve the reanalysis of land surface variables. EnSRF is compared with the simplified extended Kalman filter over the European Mediterranean region.


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