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:https://doi.org/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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Final revised paper (published on 30 Jan 2015)
Preprint (discussion started on 30 Jul 2014)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC C3515: 'Review on "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" by Han et al.', Anonymous Referee #1, 31 Aug 2014
- AC C3860: 'reponse to reviewer', Xujun Han, 18 Sep 2014
RC C4017: 'Referee comment', Anonymous Referee #2, 23 Sep 2014
- AC C4284: 'reponse to reviewer', Xujun Han, 05 Oct 2014

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Reconsider after major revisions (18 Oct 2014) by Hannah Cloke

AR by Xujun Han on behalf of the Authors (08 Dec 2014) Author's response Manuscript

ED: Referee Nomination & Report Request started (11 Dec 2014) by Hannah Cloke

RR by Anonymous Referee #2 (23 Dec 2014)

Suggestions for revision or reasons for rejection

In general, the comments I had to the paper have been adequately addressed in the revised version. I recommend publication, subject to minor corrections given below:

1. Line 159. Not clear. Rephrase: ‘…was used in this paper, and it was investigated whether…’
2. Line 183. ‘in addition’-> ‘also’
3. Line 192. Rephrase: ‘…irrigated area where detailed verification data were available’
4. Line 212. Add reference or explanation of removal of outliers according to the given criteria.
5. Line 254. Divide sentence in two: ‘…location. The soil layer…’
6. Eqs. (3), (4), (5), (7). Remove multiplication sign ‘x’ in the equations.
7. Line 320. ‘1 m deep’ -> ‘1 m depth’
8. Line 350. Remove ‘*’ and reduce the equation.
9. Line 368. With 10 soil moisture layers in CLM, the state dimension is 10 and not 11?
10. Line 392. Define the matrix I in Eq. (17).
11. Line 417-420. Repetition. Same as in lines 380-384.
12. Line 433-434. The definition of the last period not clear. All results are shown for the period June-August 2012.
13. Line 448-450. Found in this study or in the works referred?
14. Line 492-493. How is measured soil moisture calculated? As the average of the SoilNet nodes?
15. Line 503-504. RMSE only decreased for 10 and 20 cm compared to LST feedback assimilation when CRS neutron counts were assimilated. Not for 50 and 80 cm. Rephrase.
16. Line 543. ‘little’ -> ‘slightly’
17. Line 613. ‘water thickness’ -> ‘water depth’
18. Line 621. ‘controlled so’ -> ‘controlled as’
19. Line 636. ‘model, these’ -> ‘model, and these’
20. Figure 4. Include ‘upper’ and ‘lower’ in figure caption
21. Figure 5. ‘according different’ -> ‘according to different’
22. Figure 7. To be consistent with the other figures use date instead of time step.

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RR by Anonymous Referee #1 (26 Dec 2014)

ED: Publish subject to technical corrections (04 Jan 2015) by Hannah Cloke

AR by Xujun Han on behalf of the Authors (08 Jan 2015) Author's response Manuscript

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.