Estimating evapotranspiration from small watersheds using a water and energy balance approach

Rim, Chang-Soo

doi:10.1002/hyp.6769

Cited by 6 publications

(2 citation statements)

References 25 publications

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“…At its current stage, LH considers only radiative forcing while ignoring other meteorological effects on actual ET. Meteorological factors, such as relative humidity, play an important role in determining actual ET (Brunel et al, 2006;Rim et al, 2008), which suggests that they be considered in LH's future development.…”

Section: Discussionmentioning

confidence: 99%

Modifying a dynamic global vegetation model for simulating large spatial scale land surface water balances

Tang

Bartlein

2012

Hydrol. Earth Syst. Sci.

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Satellite-based data, such as vegetation type and fractional vegetation cover, are widely used in hydrologic models to prescribe the vegetation state in a study region. Dynamic global vegetation models (DGVM) simulate land surface hydrology. Incorporation of satellite-based data into a DGVM may enhance a model's ability to simulate land surface hydrology by reducing the task of model parameterization and providing distributed information on land characteristics. The objectives of this study are to (i) modify a DGVM for simulating land surface water balances; (ii) evaluate the modified model in simulating actual evapotranspiration (ET), soil moisture, and surface runoff at regional or watershed scales; and (iii) gain insight into the ability of both the original and modified model to simulate large spatial scale land surface hydrology. To achieve these objectives, we introduce the "LPJ-hydrology" (LH) model which incorporates satellite-based data into the Lund-Potsdam-Jena (LPJ) DGVM. To evaluate the model we ran LH using historical (1981–2006) climate data and satellite-based land covers at 2.5 arc-min grid cells for the conterminous US and for the entire world using coarser climate and land cover data. We evaluated the simulated ET, soil moisture, and surface runoff using a set of observed or simulated data at different spatial scales. Our results demonstrate that spatial patterns of LH-simulated annual ET and surface runoff are in accordance with previously published data for the US; LH-modeled monthly stream flow for 12 major rivers in the US was consistent with observed values respectively during the years 1981–2006 (R2 > 0.46, p < 0.01; Nash-Sutcliffe Coefficient > 0.52). The modeled mean annual discharges for 10 major rivers worldwide also agreed well (differences < 15%) with observed values for these rivers. Compared to a degree-day method for snowmelt computation, the addition of the solar radiation effect on snowmelt enabled LH to better simulate monthly stream flow in winter and early spring for rivers located at mid-to-high latitudes. In addition, LH-modeled monthly soil moisture for the state of Illinois (US) agreed well (R2 = 0.79, p < 0.01) with observed data for the years 1984–2001. Overall, this study justifies both the feasibility of incorporating satellite-based land covers into a DGVM and the reliability of LH to simulate land-surface water balances. To better estimate surface/river runoff at mid-to-high latitudes, we recommended that LPJ-DGVM considers the effects of solar radiation on snowmelt

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Section: Discussionmentioning

confidence: 99%

Modifying a dynamic global vegetation model for simulating large spatial scale land surface water balances

Tang

Bartlein

2012

Hydrol. Earth Syst. Sci.

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“…To evaluate the ability of the degree-day method to capture the response of snow processes to climate change, a supplemental analysis was completed, comparing the degree-day method used in MIKE-SHE to the more complex energybalance method (Gray and Landine, 1987;Pomeroy et al, 2007) Golmohammadi et al, 2014;CRHM: Lόpez-Moreno et al, 2013;Rasouli et al, 2014Rasouli et al, , 2019Harder et al, 2015;Weber et al, 2016;Krogh and Pomeroy, 2018). Further, CRHM has a proven ability to model snow accumulation and melt in both prairie and alpine basins (Fang and Pomeroy, 2007;Pomeroy et al, 2007;Pomeroy et al, 2012) even in data scarce regions where calibration is not possible (Pomeroy et al, 2007). As a semi-distributed hydrological modelling code, CRHM does not include physically-based groundwater flow and thus would not be appropriate for investigating the relationship between snow and streamflow drought.…”

Section: Snowmentioning

confidence: 99%

Climate change impacts on snow and streamflow drought regimes in four ecoregions of British Columbia

Dierauer

Allen

Whitfield

2020

Preprint

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Abstract. In many regions with seasonal snow cover, summer streamflow is primarily sustained by groundwater that is recharged during the snowmelt period. Therefore, below-normal snowpack (snow drought) may lead to below-normal summer streamflow (streamflow drought). Summer streamflow is important for supplying human needs and sustaining ecosystems. Climate change impacts on snow have been widely studied, but the relationship between snow drought and streamflow drought is not well understood. In this study, a combined investigation of climate change impacts on snow drought and streamflow drought was completed using generic groundwater – surface water models for four headwater catchments in different ecoregions of British Columbia. Results show that, in response to increased precipitation and temperature, the snow drought regime changes substantially for all four catchments. Warm snow droughts, which are caused by above-normal winter temperatures, increase in frequency, and dry snow droughts, which are caused by below-normal winter precipitation, decrease in frequency. The shift toward more frequent and severe temperature-related snow droughts leads to decreased summer runoff, decreased summer groundwater storage, and more extreme low flows in summer. Moreover, snow droughts propagate into summer streamflow droughts more frequently in the future time periods (2050s, 2080s) as compared to the baseline 1980s period. Thus, warm snow droughts not only become more frequent and severe in the future but also more likely to result in summer streamflow drought conditions.

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Comparison of environmental controls on daily actual evapotranspiration dynamics among different terrestrial ecosystems in China

Mai

Wang

Jing

et al. 2023

Science of The Total Environment

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Estimating evapotranspiration from small watersheds using a water and energy balance approach

Cited by 6 publications

References 25 publications

Modifying a dynamic global vegetation model for simulating large spatial scale land surface water balances

Modifying a dynamic global vegetation model for simulating large spatial scale land surface water balances

Climate change impacts on snow and streamflow drought regimes in four ecoregions of British Columbia

Comparison of environmental controls on daily actual evapotranspiration dynamics among different terrestrial ecosystems in China

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