Improving high uncertainty of evapotranspiration products under extreme climatic conditions based on deep learning and ERA5 reanalysis data

L Qian, X Yu, L Wu, Z Zhang, S Fan, R Du, X Liu… - Journal of …, 2024 - Elsevier
Abstract Accurate quantification of Terrestrial Evapotranspiration (ET) is crucial for
understanding global water resource management amid climate change. However, against …

Altered landscape pattern dominates the declined urban evapotranspiration trend

H Chen, Y Wei, JJ Huang - Journal of Hydrology, 2023 - Elsevier
Urbanization has significantly altered the regional hydrological cycle and thermal
environment. However, the response of urban evapotranspiration (ET u) to these altered …

Response of surface energy components to urban heatwaves and its impact on human comfort in coastal city

Y Wei, H Chen, JJ Huang - Urban Climate, 2024 - Elsevier
Heatwaves become more intensive and frequent due to global warming, but their impact on
energy components, such as sensible heat flux and latent heat flux, and human discomfort …

Spatial and temporal variation of three Eddy-Covariance flux footprints in a Tropical Dry Forest

M Abdaki, A Sanchez-Azofeifa, R Vargas… - Agricultural and Forest …, 2024 - Elsevier
Abstract Tropical Dry Forest (TDF) is a distinctive ecosystem characterized by distinct
seasonal changes, primarily composed of deciduous trees adapted to endure prolonged …

A novel hybrid deep learning framework for evaluating field evapotranspiration considering the impact of soil salinity

Y Rong, W Wang, P Wu, P Wang… - Water Resources …, 2024 - Wiley Online Library
Accurate evaluation of evapotranspiration (ET) is crucial for efficient agricultural water
management. Data‐driven models exhibit strong predictive ET capabilities, yet significant …

Integrated Assessment of the Runoff and Heat Mitigation Effects of Vegetation in an Urban Residential Area

X Wu, Q Chang, S Kazama, Y Touge, S Aita - Sustainability, 2024 - mdpi.com
Urban vegetation has an essential role in maintaining the hydrological and energy balance.
These processes in urban areas have been long overlooked due to the fragmentation and …

State-of-The-Art Machine Learning Models for Geospatial Analysis: A Systematic Review of Urban and Environmental Studies

A Shaamala, T Yigitcanlar, A Nili… - Available at SSRN … - papers.ssrn.com
The application of machine learning (ML) algorithms in the field of geospatial analysis has
witnessed a significant upsurge, particularly during the last five years. This is linked to …