Regional Daily ET Estimates Based on the Gap-Filling Method of Surface Conductance

Xu, Jiaming; Wu, Bingfang; Niu, Y.; Tan, Shen

doi:10.3390/rs10040554

Cited by 14 publications

(10 citation statements)

References 55 publications

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“…The underlying surface of the site is cropland, and the main cultivated crops are winter wheat and maize. The winter wheat grows from October to June and the summer maize from June to October [9,32]. The meteorological and flux data are transferred automatically and simultaneously from the stations to the server.…”

Section: Site Description and Measurementsmentioning

confidence: 99%

“…The surface radiometric temperature, soil heat flux, and four-component of radiation were measured at the same frequency. The EC flux data were averaged every 30 min with the post-processing software EdiRe (University of Edinburgh) and EddyPro (Li-COR Biosciences) [9]. Figure 2 shows the EC measured hourly surface energy fluxes on 18 May 2015 and the surface energy balance closure at the satellite overpass time during 2013-2017.…”

Section: Site Description and Measurementsmentioning

confidence: 99%

“…An EC system can provide continuously precise measurements of water vapor flux over a homogeneous surface and is very popular for parameter optimization and validation in numerous researches of land surface models [3][4][5][6][7][8]. However, the ground-based measurements are limited for their spatial representation and the high cost; when the research scale is larger, these methods do not apply [9]. Remote sensing technology plays a vital role in ET estimation because it can provide many parameters needed in ET models at regional scales, such as land surface temperature, surface albedo, and vegetation indexes.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of Remote Sensing based Multi-Source ET Models over Cropland in a Semi-Humid Region of China

Zhuang

Wang

2020

Atmosphere

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The estimation of cropland evapotranspiration (ET) is essential for agriculture water management, drought monitoring, and yield forecast. Remote sensing-based multi-source ET models have been widely applied and validated in the semi-arid region of China. However, careful investigation of the models’ performances for different crop types (winter wheat and summer maize) over the semi-humid region is still necessary. This study used remote sensing data (Landsat 8 and ASTER) and compared three mainstream multi-source ET models: (i) the two-source energy balance model, i.e., TSEB; (ii) the Penman-Monteith based four-source model, i.e., 4s-PM; (iii) the Priestley Taylor-Jet Propulsion Laboratory ET algorithm, i.e., PT-JPL. The measurements of the eddy-covariance (EC) flux tower located in Guantao county of North China were used to validate the models. The results showed that the TSEB model performed the best in estimating latent heat flux (LE) of maize, with an RMSE of 75.0 W/m2 and an R2 of 0.9, and the 4s-PM model had the highest accuracy of LE estimation for wheat, with an RMSE of 61.0 W/m2 and an R2 of 0.91. The LE spatial distribution comparison indicated that the PT-JPL model had more capacity to exhibit crop ET heterogeneity. The major environmental factors affecting ET varied with crop types and crop growth stages. Without taking soil moisture into account, the 4s-PM and TSEB models overestimated LE under water deficit in the maturation stage of wheat. The plant moisture stress based on vegetation index in the PT-JPL model underestimated the evaporation in the maturation stage while the cropland was still wet.

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Section: Site Description and Measurementsmentioning

confidence: 99%

Section: Site Description and Measurementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparison of Remote Sensing based Multi-Source ET Models over Cropland in a Semi-Humid Region of China

Zhuang

Wang

2020

Atmosphere

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“…Monthly ET was calculated by using ETWatch model, which integrates the energy balance model and Penman-Monteith model. Multisource remote sensing data were used to calculate the net radiation [22], soil heat flux [23], sensible heat flux, latent heat flux [24,25] and surface resistance on clear days [26]. The improved gap-filling model of the surface resistance parameter was proposed to extend the surface resistance on neighboring cloud-free days to cloudy days [27].…”

Section: Datamentioning

confidence: 99%

Assessment of Agricultural Water Productivity in Arid China

Niu

Zhu

2020

Water

Self Cite

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The water crisis has become increasingly serious, particularly in arid and semiarid areas. Agricultural water productivity (AWP) is an important indicator for evaluating water use efficiency and agricultural water management. This study uses water consumption derived from satellite data, combined with statistical survey information, to analyze the spatiotemporal variations and driving factors of AWP at the region and county scales over the past 15 years (2002–2015) in the Turpan region (China). The results showed the increasing change trends of AWP throughout Turpan and its three counties. A multiple regression analysis was applied to evaluate AWP, agricultural production and water consumption with driving factors. The contribution of agricultural factors (fertilizer amount, pesticide use and irrigation area) was 86.3% for change of production and 93.3% for change of water consumption in Turpan. The synchronous changes associated with the similar factor contributions resulted in a nonsignificant change in AWP for the whole region. However, the significant increase in AWP in Toksun County was caused by a weakened effect of synchronous changes due to the difference between the largest contributing factors (irrigation area for production at 29.3% and temperature for water consumption at 35.4%). The different change trends of the AWP at regional and county levels indicated that agricultural planting structure adjustment could be an effective way to improve water productivity. This paper provides objective and new information to understand the effects of AWP changes at regional and county scales, which is beneficial for irrigation agriculture development in Turpan.

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“…It consists of soil evaporation and vegetation transpiration, and plays an important role in regulating local and regional climate. On the global scale, ET accounts for more than half of the global total precipitation [3][4][5], which means that most of the water transported from the atmosphere to the surface will be not stored. Therefore, accurate estimation of ET and its spatial distribution is important to regional water resources management and the macrocontrol decision making [6].…”

Section: Introductionmentioning

confidence: 99%

Improving Meteorological Input for Surface Energy Balance System Utilizing Mesoscale Weather Research and Forecasting Model for Estimating Daily Actual Evapotranspiration

Wang

Zhan

et al. 2019

Water

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Using Surface Energy Balance System (SEBS) to estimate actual evapotranspiration (ET) on a regional scale generally uses gridded meteorological data by interpolating data from meteorological stations with mathematical interpolation. The heterogeneity of underlying surfaces cannot be effectively considered when interpolating meteorological station measurements to gridded data only by mathematical interpolation. This study aims to highlight the improvement of modeled meteorological data from the Weather Research and Forecasting (WRF) mesoscale numerical model which fully considers the heterogeneity of underlying surfaces over the data from mathematical interpolation method when providing accurate meteorological input for SEBS model. Meteorological data at 1 km resolution in the Hotan Oasis were simulated and then were put into SEBS model to estimate the daily actual ET. The accuracy of WRF simulation was evaluated through comparison with data collected at the meteorological station. Results found that the WRF-simulated wind speed, air temperature, relative humidity and surface pressure correlate well with the meteorological stations measurements (R 2 are 0.628, 0.8242, 0.8089 and 0.8915, respectively). Comparison between ET calculated using the meteorological data simulated from the WRF (ETa-WRF) and meteorological data interpolated from measurements at met stations (ETa-STA) showed that ETa-WRF could better reflect the ET difference between different land cover, and capture the vegetation growing trend, especially in areas with sparse vegetation, where ETa-STA intends to overestimate. In addition, ETa-WRF has less noise in barren areas compared to ETa-STA. Our findings suggest that WRF can provide more reliable meteorological input for SEBS model than mathematical interpolation method.

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Regional Daily ET Estimates Based on the Gap-Filling Method of Surface Conductance

Cited by 14 publications

References 55 publications

Comparison of Remote Sensing based Multi-Source ET Models over Cropland in a Semi-Humid Region of China

Comparison of Remote Sensing based Multi-Source ET Models over Cropland in a Semi-Humid Region of China

Assessment of Agricultural Water Productivity in Arid China

Improving Meteorological Input for Surface Energy Balance System Utilizing Mesoscale Weather Research and Forecasting Model for Estimating Daily Actual Evapotranspiration

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