Advancing simulations of water fluxes, soil moisture and drought stress by using the LWF-Brook90 hydrological model in R

Schmidt-Walter, Paul; Trotsiuk, Volodymyr; Meusburger, Katrin; Zacios, Martina; Meesenburg, Henning

doi:10.1016/j.agrformet.2020.108023

Cited by 22 publications

(14 citation statements)

References 64 publications

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“…Generally, there are three approaches to obtain the SM data: (1) in situ observations; (2) remote sensing (Han et al, 2018; Senanayake et al, 2019); and (3) modelled data (Schmidt‐Walter et al, 2020; Shao et al, 2020; Shrivastava et al, 2018). However, retrieving soil moisture through a remote sensing approach often faces great challenges in arid areas with sparse vegetation because of the adverse effects of surface roughness and vegetation cover (Kong et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…While the (b1)-( b4), ( c1)-( c4), ( d1)-( d4), ( e1)-( e4) and ( f1)-(f4) were the ΔT max , +ΔT, +ΔT max , ÀΔT and ÀΔT max during the same period, respectively. The abscissa numbers in (c1)-(f4) indicated the proportion (percentage) of areas with positive or negative effects of soil moisture variation on air temperature in each land-use type (2) remote sensing (Han et al, 2018;Senanayake et al, 2019); and (3) modelled data (Schmidt-Walter et al, 2020;Shao et al, 2020;Shrivastava et al, 2018). However, retrieving soil moisture through a remote sensing approach often faces great challenges in arid areas with sparse vegetation because of the adverse effects of surface roughness and vegetation cover (Kong et al, 2018).…”

Section: Evaluation Of Oasis Cold-island Effectmentioning

confidence: 99%

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Soil moisture influenced the variability of air temperature and oasis effect in a large inland basin of an arid region

Hao

Zhang

2021

Hydrological Processes

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Soil moisture plays a significant role in land‐atmosphere interactions. Changing fractions of latent and sensible heat fluxes caused by soil moisture variations can affect near‐surface air temperature, thus influencing the oasis's cooling effect in arid regions. In this study, the framework for the evaporative fraction (EF) dependence on soil moisture is used to analyse the impacts of soil moisture variation on near‐surface air temperature and the oasis effect. The result showed that soil moisture's contribution rate to EF was significantly higher than that of EF to temperature. Under the interaction of temperature sensitivity to EF and EF to soil moisture, the ∂T/∂ϴ presented a similar tempo‐spatial variation with both of the above. It was most significant in oasis areas during summer (−1.676), while it was weaker in plain desert areas during the autumn (−0.071). In the study region, the effect of soil moisture variation on air temperature can reach 0.018–0.242 K for different land‐cover types in summer. The maximum variation of soil moisture in summer can alter air temperature by up to 0.386 K. The difference in temperature variability between the oasis and desert areas promoted the formation of the oasis effect. For different oasis, the multi‐year average oasis cold effect index (OCI) ranged from −1.36 to −0.26 K. In comparison, the average summer OCI ranged from −1.38 to −0.29 K. The lower bound of the cooling effect of oasis ranged from −4.97 to −1.69 K. The analysis framework and results of this study will provide a new perspective for further research on the evolution process of the oasis effect and water–heat balance in arid areas.

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Section: Discussionmentioning

confidence: 99%

Section: Evaluation Of Oasis Cold-island Effectmentioning

confidence: 99%

Soil moisture influenced the variability of air temperature and oasis effect in a large inland basin of an arid region

Hao

Zhang

2021

Hydrological Processes

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“…In this regard, we have selected the packages containing conceptual (bucket-type) continuous rainfall-runoff models as they were the most frequently encountered during our search and are widely used for many applications in hydrology (e.g. Shin and Kim, 2016). Furthermore, compared to more complex physical models, conceptual models usually have lower data requirements (e.g.…”

Section: Selection Of Packagesmentioning

confidence: 99%

Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective

Astagneau

Thirel

Delaigue

et al. 2021

Hydrol. Earth Syst. Sci.

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Abstract. Following the rise of R as a scientific programming language, the increasing requirement for more transferable research and the growth of data availability in hydrology, R packages containing hydrological models are becoming more and more available as an open-source resource to hydrologists. Corresponding to the core of the hydrological studies workflow, their value is increasingly meaningful regarding the reliability of methods and results. Despite package and model distinctiveness, no study has ever provided a comparison of R packages for conceptual rainfall–runoff modelling from a user perspective by contrasting their philosophy, model characteristics and ease of use. We have selected eight packages based on our ability to consistently run their models on simple hydrology modelling examples. We have uniformly analysed the exact structure of seven of the hydrological models integrated into these R packages in terms of conceptual storages and fluxes, spatial discretisation, data requirements and output provided. The analysis showed that very different modelling choices are associated with these packages, which emphasises various hydrological concepts. These specificities are not always sufficiently well explained by the package documentation. Therefore a synthesis of the package functionalities was performed from a user perspective. This synthesis helps to inform the selection of which packages could/should be used depending on the problem at hand. In this regard, the technical features, documentation, R implementations and computational times were investigated. Moreover, by providing a framework for package comparison, this study is a step forward towards supporting more transferable and reusable methods and results for hydrological modelling in R.

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“…Mechanistic soil‐vegetation‐atmosphere‐transport (SVAT) models, in contrast to bucket‐type models, can account for interactions in the soil–plant‐atmosphere continuum. They balance belowground water supply with aboveground water demand to simulate water availability and physiological drought (Federer, 1979; Schmidt‐Walter et al, 2020) and may improve urgently needed understanding of ecosystem responses to drought (Xu et al, 2013). However, the application of SVAT models at the regional scale is often impeded by low data availability and the inability to constrain model parameters.…”

Section: Introductionmentioning

confidence: 99%

Soil–plant interactions modulated water availability of Swiss forests during the 2015 and 2018 droughts

Meusburger

Trotsiuk

Schmidt-Walter

et al. 2022

Global Change Biology

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Central Europe has been experiencing unprecedented droughts during the last decades, stressing the decrease in tree water availability. However, the assessment of physiological drought stress is challenging, and feedback between soil and vegetation is often omitted because of scarce belowground data. Here we aimed to model Swiss forests' water availability during the 2015 and 2018 droughts by implementing the mechanistic soil-vegetation-atmosphere-transport (SVAT) model LWF-Brook90 taking advantage of regionalized depth-resolved soil information. We calibrated the model against soil matric potential data measured from 2014 to 2018 at 44 sites along a Swiss climatic and edaphic drought gradient. Swiss forest soils' storage capacity of plant-available water ranged from 53 mm to 341 mm, with a median of 137 ± 42 mm down to the mean potential rooting depth of 1.2 m. Topsoil was the primary water source. However, trees switched to deeper soil water sources during drought. This effect was less pronounced for coniferous trees with a shallower rooting system than for deciduous trees, which resulted in a higher reduction of actual transpiration (transpiration deficit) in coniferous trees. Across Switzerland, forest trees reduced the transpiration by 23% (compared to potential transpiration) in 2015 and 2018, maintaining annual actual transpiration comparable to other years. Together with lower evaporative fluxes, the Swiss forests did not amplify the blue water deficit. The 2018 drought, characterized by a higher and more persistent transpiration deficit than in 2015, triggered widespread early wilting across Swiss forests that was better predicted by the SVAT-derived mean soil matric potential in the rooting zone than by climatic predictors. Such feedback-driven quantification of ecosystem water fluxes in the soil-plant-atmosphere continuum will be crucial to predicting physiological drought stress under future climate extremes.

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Advancing simulations of water fluxes, soil moisture and drought stress by using the LWF-Brook90 hydrological model in R

Cited by 22 publications

References 64 publications

Soil moisture influenced the variability of air temperature and oasis effect in a large inland basin of an arid region

Soil moisture influenced the variability of air temperature and oasis effect in a large inland basin of an arid region

Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective

Soil–plant interactions modulated water availability of Swiss forests during the 2015 and 2018 droughts

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