Evaluation of geostationary satellite (COMS) based Priestley–Taylor evapotranspiration

Baik, Jongjin

doi:10.1016/j.agwat.2015.05.017

Cited by 26 publications

(8 citation statements)

References 111 publications

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“…Several methods have been developed to estimate ET from remotesensing data including empirical and statistical methods with remotely sensed vegetation indices [16][17][18], physical models that calculate ET as the residual of SEB using remotely sensed thermal infrared (IR) data [19][20][21][22][23][24][25], and other physical models such as the Penman-Monteith equations [26], the revised Resistance-Surface energy balance and the PenmanMonteith (RS-PM) equations [27][28][29] and Priestley-Taylor equations [30][31][32]. On a global or continental scales, the spatial ET is provided by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Satellite Application Facility (SAF) on Land Surface Analysis (LSA) and the National Aeronautics and Space Administration (NASA).…”

Section: Journal Of Sensorsmentioning

confidence: 99%

COMS-Based Retrieval of Daily Actual Evapotranspiration over Korea

Park¹,

Jang²,

Kim³

et al. 2017

Journal of Sensors

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Evapotranspiration (ET) from the land surface is an important hydrometeorological factor in the exchange of energy between the atmosphere and land surface. The accurate quantification for management of water resources and understanding of climate change are crucial, requiring continuous temporal and spatial monitoring. The objective of this study is to apply and estimate daily actual ET using semiempirical method, B-method, which is based on surface energy balance over heterogeneous area, Korea. To estimate daily ET, we used geostationary meteorological satellite data (Communication, Ocean and Meteorological Satellite, COMS) and polarorbiting satellite data (Système Pour l'Observation de la Terre, SPOT). Estimated daily ET using only satellite data was relatively accurate and reflects land surface characteristics. It had high periodicity and spatial resolution over a wide area on clear-sky days. The daily ET was overestimated by about 1 mm/day at the two flux tower measurements sites, but the simulated seasonal variation and pattern were in good agreement with flux tower measurements. In the mixed forest, the root-mean-square error (RMSE) was 0.94 mm/day and the bias was 1.05 mm/day, while, in the rice paddy, RMSE was 1.12 mm/day and bias was 1.21 mm/day.

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Section: Journal Of Sensorsmentioning

confidence: 99%

COMS-Based Retrieval of Daily Actual Evapotranspiration over Korea

Park¹,

Jang²,

Kim³

et al. 2017

Journal of Sensors

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“…First, it is sensitive to its use of the temperature difference ( T s ‐ T a ) to estimate H s , and the errors in both T s and T a reduce the accuracy of H s and LE s estimation. Development of the linear relationship between the temperature difference and LST may be a viable method to overcome this limitation in the near future [ Allen et al , ; Baik and Choi , ]. Second, TD‐TSEB ignores the effects of advection on the partitioning of turbulent energy fluxes because of its assumption of the residual of a surface energy budget that excludes the advection of surface fluxes from the surrounding landscape [ Gowda et al , ], which may cause large biases in H and LE estimates under strongly advective environment.…”

Section: Discussionmentioning

confidence: 99%

A simple temperature domain two‐source model for estimating agricultural field surface energy fluxes from Landsat images

Yao

Liang

et al. 2017

JGR Atmospheres

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A simple and robust satellite‐based method for estimating agricultural field to regional surface energy fluxes at a high spatial resolution is important for many applications. We developed a simple temperature domain two‐source energy balance (TD‐TSEB) model within a hybrid two‐source model scheme by coupling “layer” and “patch” models to estimate surface heat fluxes from Landsat thematic mapper/Enhanced Thematic Mapper Plus (TM/ETM+) imagery. For estimating latent heat flux (LE) of full soil, we proposed a temperature domain residual of the energy balance equation based on a simplified framework of total aerodynamic resistances, which provides a key link between thermal satellite temperature and subsurface moisture status. Additionally, we used a modified Priestley‐Taylor model for estimating LE of full vegetation. The proposed method was applied to TM/ETM+ imagery and was validated using the ground‐measured data at five crop eddy‐covariance tower sites in China. The results show that TD‐TSEB yielded root‐mean‐square‐error values between 24.9 (8.9) and 78.2 (21.4) W/m2 and squared correlation coefficient (R2) values between 0.60 (0.51) and 0.97 (0.90), for the estimated instantaneous (daily) surface net radiation, soil, latent, and sensible heat fluxes at all five sites. The TD‐TSEB model shows good accuracy for partitioning LE into soil (LEsoil) and canopy (LEcanopy) components with an average bias of 11.1% for the estimated LEsoil/LE ratio at the Daman site. Importantly, the TD‐TSEB model produced comparable accuracy but requires fewer forcing data (i.e., no wind speed and roughness length are needed) when compared with two other widely used surface energy balance models. Sensitivity analyses demonstrated that this accurate operational model provides an alternative method for mapping field surface heat fluxes with satisfactory performance.

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“…Therefore, ET is a critical component of terrestrial ecosystems and profoundly impacts the water balance and energy cycle of the terrestrial surface [7,8]. Accurate ET estimates are vital to study hydrological processes from basin to regional levels [9][10][11][12][13], global climate change [14][15][16][17], drought and flood monitoring [18][19][20], water resource and optimal allocation management [21][22][23][24], agricultural water management and irrigation scheduling [25][26][27][28], environmental protection and ecological restoration [29,30]. Northern China has a complicated terrain and a large east-west span and is the country's main wheat and corn production area [31].…”

Section: Introductionmentioning

confidence: 99%

Synthesizing a Regional Territorial Evapotranspiration Dataset for Northern China

Wang

Elnashar

et al. 2021

Remote Sensing

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As a vital role in the processes of the energy balance and hydrological cycles, actual evapotranspiration (ET) is relevant to many agricultural, ecological and water resource management studies. The available global or regional ET products provide ET estimations with various temporal ranges, spatial resolutions and calculation methods (algorithms, inputs and parameterization, etc.), leading to varying degrees of introduced uncertainty. Northern China is the main agriculturally productive region supporting the whole country; thus, understanding the spatial and temporal changes in ET is essential to ensure water resource and food security. We developed a synthesis ET dataset for Northern China at a 1000 m spatial resolution, with a monthly temporal resolution covering a period ranging from 1982 to 2017, using an in-depth assessment of several ET products. Specifically, assessments were performed using in situ measured ET from eddy covariance (EC) observation towers at the site-pixel scale over interannual months under the conditions of different land cover types, climatic zones and elevation levels to select the most optimally performing ET products to be used in the synthesized ET dataset. Eight indicators under 21 conditions were involved in the assessment sheet, while the statistics of the different ET product occurrences and corresponding ratios were analyzed to select the best-performing ET products to build the synthesis ET dataset using the weighted mean method. The weights were determined by the Taylor skill score (TSS), calculated with ET products and EC ET observation data. Based on the assessment results, the Penman–Monteith–Leuning (PML_v2), ETWatch and Operational Simplified Surface Energy Balance (SSEBop) datasets were selected for implementation in the synthesis ET dataset from 2003 to 2017, while Global Land Evaporation Amsterdam Model (GLEAM) v3.3a, complementary relationship (CR) ET, and Numerical Terradynamic Simulation Group (NTSG) datasets were chosen for the synthesis ET dataset from 1982 to 2002. The weighted mean synthesized results from 2003 to 2017 performed well when compared to the in situ measured EC ET values produced under all of the above conditions, while the synthesized results from 1982 to 2002 performed well through the water balance method in Heihe River Basin. These results can provide more stable ET estimations for Northern China, which can contribute to relevant agricultural, ecological and hydrological studies.

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Evaluation of geostationary satellite (COMS) based Priestley–Taylor evapotranspiration

Cited by 26 publications

References 111 publications

COMS-Based Retrieval of Daily Actual Evapotranspiration over Korea

COMS-Based Retrieval of Daily Actual Evapotranspiration over Korea

A simple temperature domain two‐source model for estimating agricultural field surface energy fluxes from Landsat images

Synthesizing a Regional Territorial Evapotranspiration Dataset for Northern China

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