Rice is a staple food for more than half of the global population. With the increasing
population, the yield of rice must correspondingly increase to fulfill the requirement. Rice is …

Hydroclimate in the montane cloud forest (MCF) regions is unique for its frequent fog
occurrence and abundant water interception by tree canopies. Latent heat (LH) flux, the …

Canopy resistance is a key parameter in the Penman–Monteith (P–M) equation for
calculating evapotranspiration (ET). In this study, we compared a machine learning …

Evapotranspiration (ET) is a key link in terrestrial water cycle and influenced by complex
environmental factors in cropland. Accurate assessment of crop ET over heterogeneous …

Five machine learning (ML) algorithms were employed for gap-filling surface fluxes of CO2,
water vapor, and sensible heat above three different ecosystems: grassland, rice paddy …

Abstract Study region Inner Mongolia Autonomous Region, North China Study focus
Sensible heat flux (H) quantifies the intensity of water evapotranspiration, making the factors …

Aerodynamic and canopy resistances have long been considered to be of key interest in
model equation parameterization, particularly for the accurate estimation of crop …

The land-use-specific calibration of evapotranspiration parameters in hydrologic modeling is
challenging due to the lack of appropriate reference data. We present a MODIS-based …

Over the past years, several concepts in water management have emerged and were further
developed. They included approaches for saving water and improving water use efficiency …

The non-parametric (NP) method expresses evapotranspiration as a function of net
radiation, ground heat flux, air temperature, and surface temperature (Ts). This method is …