Seasonality in the Surface Energy Balance of Tundra in the Lower Mackenzie River Basin

Calculation of actual evapotranspiration (AET) is of vital importance for the study of climate change, ecosystem carbon cycling, flooding, drought, and agricultural water demand. It is one of the more important components in the hydrological cycle and surface energy balance (SEB). How to accurately estimate AET especially for the Tibetan Plateau (TP) with complex terrain remains a challenge for the scientific community. Using multi-sensor remote sensing data, meteorological forcing data, and field observations, AET was derived for the Nagqu river basin of the Northern Tibetan Plateau from a surface energy balance system (SEBS) model. As inputs for SEBS, improved algorithms and datasets for land surface albedo and a cloud-free normalized difference vegetation index (NDVI) were also constructed. The model-estimated AET were compared with results by using the combinatory method (CM). The validation indicated that the model estimates of AET agreed well with the correlation coefficient, the root mean square error, and the mean percentage error of 0.972, 0.052 mm/h, and −10.4%, respectively. The comparison between SEBS estimation and CM results also proved the feasibility of parameterization schemes for land surface parameters and AET.

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Estimativa de evapotranspiração real a partir de imagens do sensor MODIS/AQUA e do algoritmo SEBAL na bacia do Rio Paranaíba – Brasil / Real evapotranspiration estimate from images of MODIS/AQUA sensor and SEBAL algorithm in Paranaíba river basin – Brazil

Caderno de Geografia ◽

10.5752/p.2318-2962.2019v29n57p351-367 ◽

2019 ◽

Vol 29 (57) ◽

pp. 351-367

Author(s):

Alécio Perini Martins ◽

Roberto Rosa

Keyword(s):

Energy Balance ◽

Surface Energy ◽

River Basin ◽

Urban Areas ◽

Field Data ◽

Surface Energy Balance ◽

Vegetation Coverage ◽

Woody Vegetation ◽

Use Of Data ◽

Transmission And Absorption

A pesquisa visou avaliar a utilização de dados do sensor MODIS/AQUA para estimar valores de evapotranspiração real em superfície na bacia do Rio Paranaíba - Brasil. Foi utilizado o algoritmo SEBAL (Surface Energy Balance Algorithms for Land), desenvolvido a partir de princípios físicos envolvidos na reflexão, transmissão e absorção de energia pela superfície, necessitando de poucos dados de campo e, portanto, permitindo o estudo de extensas áreas. Foram obtidos valores médios de 3,4 mm/dia para evapotranspiração real, sendo os maiores valores observados nos meses de novembro e dezembro e os menores no mês de outubro. Corpos d’água e áreas com vegetação arbórea densa (formações florestais e silvicultura) apresentaram valores médios de evapotranspiração acima de 5 mm/dia, enquanto que em áreas urbanas e com solo sem cobertura vegetal esses valores médios não ultrapassaram 2 mm/dia.Palavras–chave: Evapotranspiração Real; Sensoriamento Remoto; Modelagem Climatológica.Abstract The research aimed to evaluate the use of data in sensor MODIS/AQUA to estimate values of real evapotranspiration in the surface of the Rio Paranaíba river basin - Brazil. We used the SEBAL algorithm (Surface Energy Balance Algorithms for Land), developed from physical principals involved in the reflection, transmission and absorption of energy by the surface, requiring few field data and, therefore, allowing the study of large areas. We obtained average values of 3.4 mm/day to real evapotranspiration, where the higher values were observed in November and December and the lowest ones in October. Water bodies and areas with dense woody vegetation (forests and forestry formations) presented average values of evapotranspiration above 5 mm/day, while in urban areas and with soil without vegetation coverage these values did not exceed 2 mm/day.Keywords: Real Evapotranspiration; Remote Sensing; Climatological Modeling.

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Comparative Evaluation of Simplified Surface Energy Balance Index-Based Actual ET against Lysimeter Data in a Tropical River Basin

Sustainability ◽

10.3390/su132413786 ◽

2021 ◽

Vol 13 (24) ◽

pp. 13786

Author(s):

Utkarsh Kumar ◽

Rashmi ◽

Chandranath Chatterjee ◽

Narendra Singh Raghuwanshi

Keyword(s):

Remote Sensing ◽

Energy Balance ◽

Surface Energy ◽

River Basin ◽

Surface Energy Balance ◽

Crop Coefficient ◽

Actual Evapotranspiration ◽

Command Area ◽

Maturity Stage ◽

Balance Index

In the past decades, multispectral and multitemporal remote sensing has been popularly used for estimating actual evapotranspiration (ETc) across the globe. It has been proven to be a cost-effective tool for understanding agricultural practices in a region. Today, because of the availability of different onboard sensors on an increasing number of different satellites, land surface activity can be captured at fine spatial and time scales. In the present study, three multi-date satellite imageries were used for the evaluation of remote sensing-based estimation of actual evapotranspiration in paddy in the command area of the tropical Kangsabati river basin. A surface energy balance model, the Simplified-Surface Energy Balance Index (S-SEBI), was applied for all three dates of the Rabi season (2014–2015) for the estimation of actual evapotranspiration. The crop coefficient was calculated using the exhaustive survey data collected from the command area and adjusted to local conditions. The ETc estimated using the S-SEBI-based model was compared with the Food and Agriculture Organization Penman–Monteith (FAO-56 PM) method multiplied by the adjusted local crop coefficient and lysimeter data in the command area. The coefficient of determination (r2) was applied to examine the accuracy of the S-SEBI model with respect to lysimeter data and the FAO-56 PM-based ETc. The results showed that the S-SEBI model performed well with the lysimeter (r2 = 0.90) in comparison with FAO-56 PM, with an r2 of 0.65. In addition to this, the S-SEBI-based ET estimates correlated well with the FAO-56 PM, with r and RMSE values of 0.06 and 1.13 mm/day (initial stage), 0.85 and 0.48 mm/day (development stage), and 0.77 and 0.52 (maturity stage) for paddy, respectively. The S-SEBI-based ETc estimate varied with different stages of crop growth and successfully captured the spatial heterogeneity within the command area. In general, this study showed that the S-SEBI method has the potential to calculate spatial evapotranspiration and provide useful information for efficient water management. The results revealed the applicability and accuracy of remote sensing-based ET for managing water resources in a command area with scarce data.

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Hydrological Budgets and Surface Energy Balance of Seven Subbasins of the Mackenzie River from the ECMWF Model

Journal of Hydrometeorology ◽

10.1175/1525-7541(2000)001<0047:hbaseb>2.0.co;2 ◽

2000 ◽

Vol 1 (1) ◽

pp. 47-60 ◽

Cited By ~ 17

Author(s):

Alan K. Betts ◽

Pedro Viterbo

Keyword(s):

Energy Balance ◽

Surface Energy ◽

Surface Energy Balance ◽

Ecmwf Model ◽

Mackenzie River

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Evapotranspiration and Surface Energy Balance of a Common Reed-Dominated Riparian System in the Platte River Basin, Central Nebraska

Transactions of the ASABE ◽

10.13031/2013.42596 ◽

2013 ◽

Vol 56 (1) ◽

pp. 135-153 ◽

Cited By ~ 4

Author(s):

I. Kabenge ◽

S. Irmak ◽

G. E. Meyer ◽

J. E. Gilley ◽

S. Knezevic ◽

...

Keyword(s):

Energy Balance ◽

Surface Energy ◽

River Basin ◽

Surface Energy Balance ◽

Common Reed ◽

Platte River ◽

Platte River Basin ◽

Riparian System

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Using climate reanalysis data in conjunction with multi-temporal satellite thermal imagery to derive supraglacial debris thickness changes from energy-balance modelling

Journal of Glaciology ◽

10.1017/jog.2020.111 ◽

2021 ◽

pp. 1-19

Author(s):

Rebecca L. Stewart ◽

Matthew Westoby ◽

Francesca Pellicciotti ◽

Ann Rowan ◽

Darrel Swift ◽

...

Keyword(s):

Energy Balance ◽

Surface Energy ◽

Surface Energy Balance ◽

Current Knowledge ◽

Meteorological Data ◽

Reanalysis Data ◽

Balance Model ◽

Thermal Imagery ◽

Thickness Estimation ◽

Miage Glacier

Abstract Surface energy-balance models are commonly used in conjunction with satellite thermal imagery to estimate supraglacial debris thickness. Removing the need for local meteorological data in the debris thickness estimation workflow could improve the versatility and spatiotemporal application of debris thickness estimation. We evaluate the use of regional reanalysis data to derive debris thickness for two mountain glaciers using a surface energy-balance model. Results forced using ERA-5 agree with AWS-derived estimates to within 0.01 ± 0.05 m for Miage Glacier, Italy, and 0.01 ± 0.02 m for Khumbu Glacier, Nepal. ERA-5 data were then used to estimate spatiotemporal changes in debris thickness over a ~20-year period for Miage Glacier, Khumbu Glacier and Haut Glacier d'Arolla, Switzerland. We observe significant increases in debris thickness at the terminus for Haut Glacier d'Arolla and at the margins of the expanding debris cover at all glaciers. While simulated debris thickness was underestimated compared to point measurements in areas of thick debris, our approach can reconstruct glacier-scale debris thickness distribution and its temporal evolution over multiple decades. We find significant changes in debris thickness over areas of thin debris, areas susceptible to high ablation rates, where current knowledge of debris evolution is limited.

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Application of an improved surface energy balance model to two large valley glaciers in the St. Elias Mountains, Yukon

Journal of Glaciology ◽

10.1017/jog.2020.106 ◽

2020 ◽

pp. 1-16

Author(s):

Tim Hill ◽

Christine F. Dow ◽

Eleanor A. Bash ◽

Luke Copland

Keyword(s):

Energy Balance ◽

Surface Energy ◽

Surface Energy Balance ◽

Shortwave Radiation ◽

Balance Model ◽

Landsat 8 ◽

Glacier Surface ◽

Ice Dynamics ◽

Surface Melt

Abstract Glacier surficial melt rates are commonly modelled using surface energy balance (SEB) models, with outputs applied to extend point-based mass-balance measurements to regional scales, assess water resource availability, examine supraglacial hydrology and to investigate the relationship between surface melt and ice dynamics. We present an improved SEB model that addresses the primary limitations of existing models by: (1) deriving high-resolution (30 m) surface albedo from Landsat 8 imagery, (2) calculating shadows cast onto the glacier surface by high-relief topography to model incident shortwave radiation, (3) developing an algorithm to map debris sufficiently thick to insulate the glacier surface and (4) presenting a formulation of the SEB model coupled to a subsurface heat conduction model. We drive the model with 6 years of in situ meteorological data from Kaskawulsh Glacier and Nàłùdäy (Lowell) Glacier in the St. Elias Mountains, Yukon, Canada, and validate outputs against in situ measurements. Modelled seasonal melt agrees with observations within 9% across a range of elevations on both glaciers in years with high-quality in situ observations. We recommend applying the model to investigate the impacts of surface melt for individual glaciers when sufficient input data are available.

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