the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Summer Land-Atmosphere Coupling over Europe: A Comparative Evaluation of Observation-based Datasets
Abstract. Land–atmosphere coupling has long been recognized to modulate the surface fluxes partitioning in transitional evaporative regimes, where soil moisture anomalies control evapotranspiration. However, globally available in-situ observations for these variables remain limited. This study provides a comprehensive assessment of the similarities, dissimilarities, and limitations among gridded observations-based datasets of surface soil moisture, evapotranspiration, potential evapotranspiration, and 2-meter air temperature across Europe. The analysis focuses on the IPCC-defined regions of Northern Europe, Eastern Europe, Western-Central Europe, and the Mediterranean during summer (June–August) for the recent 20-year period (2003–2022), and evaluates and compares the representation of land–atmosphere coupling across the different datasets. Results show that the temporal variation of the state variables and the spatial variability of land–atmosphere coupling are mostly consistent across the different datasets. On the other hand, relevant differences in absolute values and seasonal variations can be identified. Some datasets exhibit systematically distinct annual cycle patterns compared to others across variables and regions, which is also reflected in their coupling representation in both temporal and spatial structures.
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RC1: 'Comment on egusphere-2026-3206', Anonymous Referee #1, 26 Aug 2026
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3206/egusphere-2026-3206-RC1-supplement.pdfCitation: https://doi.org/
10.5194/egusphere-2026-3206-RC1 -
RC2: 'Comment on egusphere-2026-3206', Anonymous Referee #2, 29 Sep 2026
This manuscript presents a detailed evaluation of the consistency of several observation-based datasets and how they characterize land-atmosphere coupling over Europe. It is a scientifically relevant study that incorporates multiple datasets and is well presented and well organized. I have only two general comments regarding the Abstract and Introduction, along with a few minor typo corrections.
The final part of the abstract is rather generic. For example these two sentences “Results show that the temporal variation of the state variables and the spatial variability of land–atmosphere coupling are mostly consistent across the different datasets. On the other hand, relevant differences in absolute values and seasonal variations can be identified.” A bit more detail on which variables/datasets/regions show larger differences would be useful at the level of the abstract. From the results I found 3 key points: (i) EVT is the variable with larger inconsistencies between datasets (ii) PET has a strong dependence on the method selected and (iii) JRA55 land and atmospheric coupling differ from the other datasets. I’m sure the authors can do a better job in resuming the key conclusions, and I would suggest including it in abstract.
The introduction is very well organized, providing a clear background and motivation for this study. However, there is no clear mention to the role of vegetation status and its response to soil moisture and atmospheric conditions. I encourage the authors to expand a bit on the role of vegetation as mediator between soil moisture and evaporation for completeness of the introduction, even if this is not much explored in the study.
167: “vegatation” : “vegetation”
253: “by the factor of 2” : “by a factor of 2”
245/246: “..with drier decreases during winter and..” this sentence is not clear
264/265: “The PET annual cycle variation during summer for both GLEAM versions about 2 factors less..” : revise sentence syntax
273: “with soil moisture variability being highest” in this sentence context, is it “variability” or “mean” ? variability should refer to inter-seasonal or inter-annual variability, while here the mean annual cycle is discussed.
321: “the the”
336: “All the datasets well captures the well known” revise sentence
343: “WCE and MED show relatively smaller interannual variability for all the variables” This is a qualitative statement based on visual inspection of the plots ? Considering that the y-axis are different for each region, this could be misleading. Either remove this sentence, or compute the actual inter-annual variability (e.g. standard deviation of the time series)
353-354 "which reflects in the correlation matrix" : which is reflected in the correlation matrix
451-452 "where the pattern is being reversed" : “where the pattern is reversed”
454-455 "the increase in temperature is leading" : “the increase in temperature leads”Citation: https://doi.org/10.5194/egusphere-2026-3206-RC2
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