Inter-comparison of energy balance and hydrological models for land surface energy  flux estimation over a whole river catchment

Guzinski, R.; Nieto, H.; Stisen, S.; Fensholt, R.

doi:https://doi.org/10.5194/hess-19-2017-2015

Articles | Volume 19, issue 4

https://doi.org/10.5194/hess-19-2017-2015

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

https://doi.org/10.5194/hess-19-2017-2015

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

Articles | Volume 19, issue 4

Research article

|

24 Apr 2015

Research article |

| 24 Apr 2015

Inter-comparison of energy balance and hydrological models for land surface energy flux estimation over a whole river catchment

R. Guzinski, H. Nieto, S. Stisen, and R. Fensholt

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Final revised paper (published on 24 Apr 2015)
Preprint (discussion started on 06 Jun 2014)

Interactive discussion

Status: closed

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

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- Supplement

RC C2120: 'Referee Comment by T. Conradt', Tobias Conradt, 29 Jun 2014
- AC C3428: 'Reply to Referee Comment by T. Conradt', Radoslaw Guzinski, 28 Aug 2014
RC C2805: 'Review', Anonymous Referee #2, 30 Jul 2014
- AC C3432: 'Reply to Review by Anonymous Referee #2', Radoslaw Guzinski, 28 Aug 2014

Peer-review completion

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

ED: Reconsider after major revisions (01 Sep 2014) by Hannah Cloke

AR by Radoslaw Guzinski on behalf of the Authors (23 Feb 2015) Author's response Manuscript

ED: Referee Nomination & Report Request started (24 Feb 2015) by Hannah Cloke

RR by Anonymous Referee #2 (10 Mar 2015)

Suggestions for revision or reasons for rejection

The authors have dutifully addressed my comments. A few remaining items are:
Main:
- Could you make it clear to the reader that in TSEB_2ART soil evaporation and transpiration fluxes are computed as residual terms of the soil and the vegetation energy budget equations from the corresponding individual temperatures derived from 4SAIL ?
- Instead of looking at differences in LST (7.1.2), it would have been more interesting (from an hydrological point of view) to compare the Soil evaporation/Transpiration partitioning between the three estimates rather than the soil and vegetation temperatures.
- It’s still confusing to show on Figure 5 on the one hand data for particular days and on the other 8-year average PET and MIKE-SHE outputs. What is the added value ? (since there is a scatterplot for each dataset as insert in this Figure). According to me, it mostly shows that a linear interpolation of clear-sky estimates is meaningless, but this is a truism isn’t it ? Usually one uses an interpolation of EF or evaporation efficiency between clear sky days *. Why don’t you show such an interpolation alongside PET and MIKE_SHE for one particular year instead ?

- Avoid the use of the term “overestimate” (conversely, "underestimate")throughout the paper since you compare model estimates and do not have observed data. Replace it with something like “estimate larger values than…”

Minor:
- Abstract: L16: primary input for MIKE_SHE is not soil moisture per se but water inputs (rain and irrigation), please rephrase.
- L263: besides of > besides
- L420: apart from your cited reference Guzinski et al. , 2013, Chirouze et al., 2014* have also proposed a way to derive fg as a ratio between actual and maximum GLAI values.

* Delogu, E., Boulet, G., Olioso, A., Coudert, B., Chirouze, J., Ceschia, E., Le Dantec, V., Marloie, O., Chehbouni, G., Lagouarde, J.P., 2012. Reconstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpass. Hydrology and Earth System Sciences, 16(8): 2995-3010.
** Chirouze, J., Boulet, G., Jarlan, L., Fieuzal, R., Rodriguez, J.C., Ezzahar, J., Er-Raki, S., Bigeard, G., Merlin, O., Garatuza-Payan, J., Watts, C., Chehbouni, G., 2014. Intercomparison of four remote-sensing-based energy balance methods to retrieve surface evapotranspiration and water stress of irrigated fields in semi-arid climate. Hydrol. Earth Syst. Sci., 18(3): 1165-1188.

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ED: Publish subject to minor revisions (Editor review) (18 Mar 2015) by Hannah Cloke

AR by Radoslaw Guzinski on behalf of the Authors (28 Mar 2015) Author's response Manuscript

ED: Publish as is (30 Mar 2015) by Hannah Cloke

AR by Radoslaw Guzinski on behalf of the Authors (30 Mar 2015)

Short summary

The study compared evapotranspiration (ET) modelled by two remote sensing models and one hydrological model in a river catchment in Denmark. The results show that the spatial patterns of ET produced by the remote sensing models are more similar to each other than to the fluxes produced by the hydrological model. This indicates potential benefits to the hydrological modelling community from integrating spatial information derived through remote sensing methodology into the hydrological models.