Remote sensing products for predicting actual evapotranspiration and water stress footprints under different land cover

Jahangir, Mohammad Hossein; Arast, Mina

doi:10.1016/j.jclepro.2020.121818

Cited by 26 publications

(7 citation statements)

References 28 publications

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“…Some studies presented a modification of the SEBS inner structure in terms of: (i) momentum roughness length and zero plane displacement; (ii) an empirical relationship between land surface temperature and air temperature; and (iii) designing a new input interface of meteorological field at reference, with the objective of representing land surface and climatic changes of a specific region. These studies adapted SEBS to be applicable in different countries like Taiwan (SEBS-Taiwan, [102]), China (SEBS-China, [103]) or Iran (SEBS-Iran, [104]). SEBS was also modified at local scale (SEBS-Urban, [105]) after including the anthropogenic heat flux in the SEB equation to estimate the ET of Beijing city.…”

Section: Surface Energy Balance System (Sebs) Modelmentioning

confidence: 99%

Evapotranspiration Acquired with Remote Sensing Thermal-Based Algorithms: A State-of-the-Art Review

2022

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Almost fifty years have passed since the idea to retrieve a value for Evapotranspiration (ET) using remote sensing techniques was first considered. Numerous ET models have been proposed, validated and improved along these five decades, as the satellites and sensors onboard were enhanced. This study reviews most of the efforts in the progress towards providing a trustworthy value of ET by means of thermal remote sensing data. It starts with an in-depth reflection of the surface energy balance concept and of each of its terms, followed by the description of the approaches taken by remote sensing models to estimate ET from it in the last thirty years. This work also includes a chronological review of the modifications suggested by several researchers, as well as representative validations studies of such ET models. Present limitations of ET estimated with remote sensors onboard orbiting satellites, as well as at surface level, are raised. Current trends to face such limitations and a future perspective of the discipline are also exposed, for the reader’s inspiration.

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Section: Surface Energy Balance System (Sebs) Modelmentioning

confidence: 99%

Evapotranspiration Acquired with Remote Sensing Thermal-Based Algorithms: A State-of-the-Art Review

2022

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“…An increasing number of ET products have been developed using land surface models and data assimilation based on remote sensing. These products have been largely used to detect ET trends [4] and statistically regress and correlate ET and environmental factors, such as land cover types, surface temperature, precipitation, and wind speed [6,19,31,32]. The correlation values cannot quantitatively reflect the contribution of certain factors to ET, and assuming linear relationships between ET and climatic factors is inconsistent with reality because the relationship is nonlinear [33].…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Responses of Evapotranspiration and Its Components to Vegetation Restoration and Climate Change on the Loess Plateau of China

Qiu

Shi

et al. 2021

Remote Sensing

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Quantitatively identifying the influences of vegetation restoration (VR) on water resources is crucial to ecological planning. Although vegetation coverage has improved on the Loess Plateau (LP) of China since the implementation of VR policy, the way vegetation dynamics influences regional evapotranspiration (ET) remains controversial. In this study, we first investigate long-term spatiotemporal trends of total ET (TET) components, including ground evaporation (GE) and canopy ET (CET, sum of canopy interception and canopy transpiration) based on the GLEAM-ET dataset. The ET changes are attributed to VR on the LP from 2000 to 2015 and these results are quantitatively evaluated here using the Community Land Model (CLM). Finally, the relative contributions of VR and climate change to ET are identified by combining climate scenarios and VR scenarios. The results show that the positive effect of VR on CET is offset by the negative effect of VR on GE, which results in a weak variation in TET at an annual scale and an increased TET is only shown in summer. Regardless of the representative concentration pathway (RCP4.5 or RCP8.5), differences resulted from the responses of TET to different vegetation conditions ranging from −3.7 to −1.2 mm, while climate change from RCP4.5 to RCP8.5 caused an increase in TET ranging from 0.1 to 65.3 mm. These findings imply that climate change might play a dominant role in ET variability on the LP, and this work emphasizes the importance of comprehensively considering the interactions among climate factors to assess the relative contributions of VR and climate change to ET.

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“…However, absolute values for these remote sensing products used over similar semi‐arid dominated environment have shown great uncertainty. For example: MOD16 ET has shown good skill in representing monthly fluctuations although it has shown low values of ET in dry regions, which is mainly attributed to land cover heterogeneity (Aguilar et al, 2018; Blatchford et al, 2020; Jahangir & Arast, 2020; Kiptala et al, 2013; Miralles et al, 2016; Trambauer et al, 2014; Velpuri et al, 2013; Weerasinghe et al, 2020). For soil moisture, ESA‐CCI is only representative of the soil depth between 2 and 5 cm (Brocca et al, 2017); therefore, it cannot be directly compared to the single depth integrated DRYP soil store.…”

Section: Methodsmentioning

confidence: 99%

Assessing the sensitivity of modelled water partitioning to global precipitation datasets in a data‐scarce dryland region

Quichimbo,

Singer,

Michaelides

et al. 2023

Hydrological Processes

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Precipitation is the primary driver of hydrological models, and its spatial and temporal variability have a great impact on water partitioning. However, in data‐sparse regions, uncertainty in precipitation estimates is high and the sensitivity of water partitioning to this uncertainty is unknown. This is a particular challenge in drylands (semi‐arid and arid regions) where the water balance is highly sensitive to rainfall, yet there is commonly a lack of in situ rain gauge data. To understand the impact of precipitation uncertainty on the water balance in drylands, here we have performed simulations with a process‐based hydrological model developed to characterize the water balance in arid and semi‐arid regions (DRYP: DRYland water Partitioning model). We performed a series of numerical analyses in the Upper Ewaso Ng'iro basin, Kenya driven by three gridded precipitation datasets with different spatio‐temporal resolutions (IMERG, MSWEP, and ERA5), evaluating simulations against streamflow observations and remotely sensed data products of soil moisture, actual evapotranspiration, and total water storage. We found that despite the great differences in the spatial distribution of rainfall across a climatic gradient within the basin, DRYP shows good performance for representing streamflow (KGE >0.6), soil moisture, actual evapotranspiration, and total water storage (r >0.5). However, the choice of precipitation datasets greatly influences surface (infiltration, runoff, and transmission losses) and subsurface fluxes (groundwater recharge and discharge) across different climatic zones of the Ewaso Ng'iro basin. Within humid areas, evapotranspiration does not show sensitivity to the choice of precipitation dataset, however, in dry lowland areas it becomes more sensitive to precipitation rates as water‐limited conditions develop. The analysis shows that the highest rates of precipitation produce high rates of diffuse recharge in Ewaso uplands and also propagate into runoff, transmission losses and, ultimately focused recharge, with the latter acting as the main mechanism of groundwater recharge in low dry areas. The results from this modelling exercise suggest that care must be taken in selecting forcing precipitation data to drive hydrological modelling efforts, especially in basins that span a climatic gradient. These results also suggest that more effort is required to reduce uncertainty between different precipitation datasets, which will in turn result in more consistent quantification of the water balance.

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Remote sensing products for predicting actual evapotranspiration and water stress footprints under different land cover

Cited by 26 publications

References 28 publications

Evapotranspiration Acquired with Remote Sensing Thermal-Based Algorithms: A State-of-the-Art Review

Evapotranspiration Acquired with Remote Sensing Thermal-Based Algorithms: A State-of-the-Art Review

Quantifying the Responses of Evapotranspiration and Its Components to Vegetation Restoration and Climate Change on the Loess Plateau of China

Assessing the sensitivity of modelled water partitioning to global precipitation datasets in a data‐scarce dryland region

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