Article
Environmental Sciences
Colin Brust, John S. Kimball, Marco P. Maneta, Kelsey Jencso, Mingzhu He, Rolf H. Reichle
Summary: Evapotranspiration (ET) is a crucial hydrological variable that connects the water, carbon, and energy cycles of the Earth. Remote sensing-based models are often used to quantify ET at large scales, but few models incorporate soil moisture, leading to decreased accuracy. By integrating soil moisture estimates from NASA's SMAP mission into the MOD16 ET algorithm framework, along with vegetation observations and regional meteorology data, model performance can be significantly improved, especially in arid climates.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Soil Science
L. Gardin, M. Chiesi, L. Fibbi, L. Angeli, B. Rapi, P. Battista, F. Maselli
Summary: Recent research supports the prediction of soil water content through simplified soil water balance models fed with remotely sensed actual evapotranspiration estimates. An alternative model has been proposed in this paper, which can directly predict soil water content without specific soil information. The results suggest that the new simulation method performs similarly to the old method when driven by adequate soil feature information.
Article
Environmental Sciences
Alhousseine Diarra, Lionel Jarlan, Said Khabba, Michel Le Page, Salah Er-Raki, Riad Balaghi, Soufyane Charafi, Abdelghani Chehbouni, Rafiq El Alami
Summary: This study used the two-source energy budget model, combined with MODIS leaf area index, land surface temperature, and meteorological data, to derive daily latent heat flux maps at the kilometer scale in the Tensift catchment in Morocco. By comparing the model outputs with in situ meteorological measurements and eddy covariance observations, the accuracy of the model was evaluated. The study also analyzed the seasonal and interannual evapotranspiration in relation to local climate and land use, and discussed the potential applications of the proposed method in improving grain yield prediction and detecting newly irrigated areas for arboriculture.
Article
Engineering, Civil
Aubin Allies, Albert Olioso, Bernard Cappelaere, Gilles Boulet, Jordi Etchanchu, Helene Barral, Ibrahim Bouzou Moussa, Jean-Philippe Chazarin, Emilie Delogu, Hassane Bil-Assanou Issoufou, Ibrahim Mainassara, Monique Oi, Jerome Demarty
Summary: This study developed a data fusion approach to provide remote sensing-based continuous daily ET estimates at kilometric resolution in Sahelian areas. The fusion approach was evaluated against eddy-covariance measurements and land surface model simulations, and showed a very good agreement with both in situ measurements and simulations.
JOURNAL OF HYDROLOGY
(2022)
Article
Geography, Physical
Zhong Peng, Ronglin Tang, Yazhen Jiang, Meng Liu, Zhao-Liang Li
Summary: This study presented a practical method for global estimates of 500m daily z0(m) using machine learning techniques, wind profile equation, observations, and MODIS data. The random forest model outperformed deep neural network and convolutional neural network models, showing high accuracy in reproducing daily z0(m) across all land cover types. These results can assist in improving the simulation of momentum, water, and energy transfer between land and atmosphere, enhancing the development of high-resolution land surface and Earth system models.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Astronomy & Astrophysics
Lei Huang, Tammo S. Steenhuis, Yong Luo, Qiuhong Tang, Ronglin Tang, Junqing Zheng, Wen Shi, Chen Qiao
Summary: This study compared various algorithms for estimating evapotranspiration and found that the original method had higher accuracy but some errors due to compensating inaccuracies. Six of the proposed algorithms underestimated daily ET, mainly because of inaccurate estimation of daily net radiation. One algorithm, using observed flux tower data for daily net radiation instead of estimated values, successfully calculated EF and ET with low relative errors.
EARTH AND SPACE SCIENCE
(2021)
Article
Environmental Sciences
Siyi Wen, Zihan Liu, Yu Han, Yuyan Chen, Liangsi Xu, Qiongsa Li
Summary: This research analyzed the spatiotemporal variation characteristics of evapotranspiration (ET), relative moisture index (MI), and influencing factors of reference evapotranspiration (ET0) in Heilongjiang, China. The results showed that the spatial distribution of ET and PET exhibited a pattern of higher values in the southwest and lower values in the northwest, and higher values in the south and lower values in the north. ET0 increased while the annual MI decreased over the last 40 years. The importance of meteorological factors affecting ET0 ranked as average relative humidity > average wind speed > sunshine duration.
Article
Environmental Sciences
Xuejin Qiao, Guang Yang, Jianchu Shi, Qiang Zuo, Lining Liu, Mu Niu, Xun Wu, Alon Ben-Gal
Summary: This study proposed a remote sensing data fusion method for predicting evapotranspiration (ET) in irrigated agriculture. The method was tested in cotton fields in the Manas River Basin, and it was found to provide reliable estimation of ET distribution with high spatial and temporal resolutions.
Article
Environmental Sciences
Hamid Salehi, Ali Shamsoddini, Seyed Majid Mirlatifi, Behnam Mirgol, Meisam Nazari
Summary: Producing daily actual evapotranspiration (ETa) maps with high spatial resolution for sugarcane farmlands in Iran is challenging. Three different scenarios were assessed, with the first scenario showing the best results and the third scenario showing the worst results.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2021)
Article
Environmental Sciences
Kazi Rifat Ahmed, Eugenie Paul-Limoges, Uwe Rascher, Alexander Damm
Summary: The combined heatwave and drought in 2018 significantly impacted European ecosystems, with ecosystem evapotranspiration strongly reduced in areas with extreme anomalies in temperature, precipitation, and evapotranspiration. Northern and Eastern Europe experienced prolonged anomalies in temperature, precipitation, and evapotranspiration, particularly affecting agricultural areas, mixed natural vegetation, and non-irrigated agricultural areas. The study highlights contrasting drought impacts on ecosystem evapotranspiration between different regions in Europe.
Article
Ecology
Katie A. McQuillan, Mirela G. Tulbure, Katherine L. Martin
Summary: The study finds that the constraint of water availability on forest evapotranspiration (ET) is decreasing, and the impact of drought on ET varies with elevation and slope. Over time, there is a decoupling of ET from water availability, which is accelerated at higher elevations and in areas with diffuse-porous trees. These findings suggest that reductions in downstream water availability could have negative impacts on runoff, downstream vegetation, and aquatic biodiversity.
Article
Geosciences, Multidisciplinary
Jin Feng, Ke Zhang, Huijie Zhan, Lijun Chao
Summary: This study improved the satellite-driven P-LSH algorithm for more accurate estimation of evapotranspiration (ET) in alpine barren areas on the Tibetan Plateau by introducing two effective soil moisture constraint schemes. These constraint schemes significantly improved the performance of the P-LSH algorithm, resulting in higher simulation accuracy than existing algorithms.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Article
Astronomy & Astrophysics
Lei Huang, Yong Luo, Tammo Steenhuis, Qiuhong Tang, Wei Cheng, Wen Shi, Xin Xia, Dingchi Zhao, Zhouyi Liao
Summary: Evapotranspiration (ET) is an important process that regulates heat and water transfer between land and the atmosphere. The VISEA(2023) model improves the accuracy of net radiation and ET by incorporating an atmosphere emissivity model and correcting the calculation of downward long-wave radiation on cloudy days. It demonstrates good agreement with measurements at seven ChinaFlux sites and outperforms other ET models in terms of accuracy and robustness.
EARTH AND SPACE SCIENCE
(2023)
Article
Environmental Sciences
Sijal Dangol, Xuesong Zhang, Xin-Zhong Liang, Martha Anderson, Wade Crow, Sangchul Lee, Glenn E. Moglen, Gregory W. McCarty
Summary: This study calibrated the Soil and Water Assessment Tool (SWAT) model using streamflow data and remotely sensed hydrologic variables. The results show that adding remotely sensed ET and soil moisture to streamflow for calibration can impact the sensitive parameters of the model, but it does not necessarily improve its performance. Using remote sensing data alone leads to a deterioration in model performance. Different choices of remote sensing data for calibration also result in noticeable differences in simulated hydrologic processes. The comparison between SWAT and SWAT-Carbon models under different calibration setups reveals significant differences in their performance.
Article
Environmental Sciences
Linjing Qiu, Yuting Chen, Yiping Wu, Qingyue Xue, Zhaoyang Shi, Xiaohui Lei, Weihong Liao, Fubo Zhao, Wenke Wang
Summary: The study found that there was a significant increase in leaf area index (LAI) and evapotranspiration across most regions of the Loess Plateau, but a decrease in the evaporative stress index (ESI) overall. This decrease in ESI was mainly attributed to the increase in LAI rather than climatic influences. Additionally, soil moisture storage showed an increasing trend in the central and eastern parts of the plateau.