Correction of systematic model forcing bias of CLM using assimilation of cosmic-ray Neutrons and land surface temperature: a study in the Heihe Catchment, China

Han, X.; Franssen, H.-J. H.; Rosolem, R.; Jin, R.; Li, X.; Vereecken, H.

doi:10.5194/hess-19-615-2015

Articles | Volume 19, issue 1

https://doi.org/10.5194/hess-19-615-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-19-615-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 19, issue 1

Research article

|

30 Jan 2015

Research article |

| 30 Jan 2015

Correction of systematic model forcing bias of CLM using assimilation of cosmic-ray Neutrons and land surface temperature: a study in the Heihe Catchment, China

X. Han, H.-J. H. Franssen, R. Rosolem, R. Jin, X. Li, and H. Vereecken

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Cumulative views and downloads (calculated since 30 Jul 2014)

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Aug 2014	25	39	1	65
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Oct 2014	9	10	0	19
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Apr 2015	29	14	2	45
May 2015	18	14	0	32
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Jul 2015	44	14	1	59
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Latest update: 19 Nov 2025

Short summary

This paper presents the joint assimilation of cosmic-ray neutron counts and land surface temperature with parameter estimation of leaf area index at an irrigated corn field. The results show that the data assimilation can reduce the systematic input errors due to the lack of irrigation data. The estimations of soil moisture, evapotranspiration and leaf area index can be improved in the joint assimilation framework.