A5114804412- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Hydrology and Watershed Management Studies
- Urban Heat Island Mitigation
- Meteorological Phenomena and Simulations
- Tree-ring climate responses
- Soil and Unsaturated Flow
- Remote Sensing in Agriculture
- Solar Radiation and Photovoltaics
- Soil Moisture and Remote Sensing
- Atmospheric and Environmental Gas Dynamics
- Hydrology and Drought Analysis
- Greenhouse Technology and Climate Control
- Irrigation Practices and Water Management
- Plant responses to elevated CO2
- Remote Sensing and Land Use
- Climate change impacts on agriculture
- Land Use and Ecosystem Services
- Wind and Air Flow Studies
- Ecology and Vegetation Dynamics Studies
- Fluid Dynamics and Turbulent Flows
- Electrical and Bioimpedance Tomography
- Aeolian processes and effects
- Pasture and Agricultural Systems
- Environmental and Agricultural Sciences
Beijing Normal University
2015-2024
State Key Laboratory of Remote Sensing Science
2010-2016
Abstract Agreement among instruments is very important for the Multi‐Scale Observation Experiment on Evapotranspiration over heterogeneous land surfaces of The Heihe Watershed Allied Telemetry Experimental Research (HiWATER‐MUSOEXE), particularly in regard to radiation and turbulent flux measurements. Before HiWATER‐MUSOEXE was conducted, 20 eddy covariance (EC) system sets, 18 radiometer seven large aperture scintillometers (LASs) sets were intercompared Gobi desert between 14 24 May 2012....
Abstract Evapotranspiration (ET) is a vital variable for land‐atmosphere interactions that links surface energy balance, water, and carbon cycles. The in situ techniques can measure ET accurately but the observations have limited spatial temporal coverage. Modeling approaches been used to estimate at broad scales, while simulating regional scales remains major challenge. In this study, we upscale from eddy covariance flux tower sites scale with machine learning algorithms. Five algorithms...
Abstract Land surface evapotranspiration (ET) is an important component of the energy budget and water cycle. To solve problem spatial‐scale mismatch between in situ observations remotely sensed ET, it necessary to find most appropriate upscaling approach for acquiring ground truth ET data at satellite pixel scale. Based on a set from two flux observation matrices middle stream downstream Heihe River Basin, six methods were intercompared via direct validation cross validation. The results...
Abstract. In the absence of high-resolution estimates components surface energy balance for China, we developed an algorithm based on system (SEBS) to generate a data set land-surface and water fluxes monthly timescale from 2001 2010 at 0.1 × 0.1° spatial resolution by using multi-satellite meteorological forcing data. A remote-sensing-based method was estimate canopy height, which used calculate roughness length flux dynamics. The validated against "ground-truth" observations 11 tower...
The eddy-covariance (EC) method has been widely used to measure sensible (H) and latent (LE) heat fluxes, however, it limited spatial representativeness (hundreds of meters’ scale). Optical-microwave scintillometers (OMS) can directly kilometer-scale H LE, which be validate satellite remote sensing products model simulations. Therefore, quantitative comparisons analyses between LE measured by OMS EC are important. In this study, the values were compared analyzed over two different surfaces:...
Currently, thermal remote sensing-based evapotranspiration (ET) models can only calculate instantaneous ET at the time of satellite overpass. Five temporal upscaling methods, namely, constant evaporative fraction (ConEF), corrected ConEF (CorEF), diurnal (DiEF), solar radiation ratio (SolRad), and reference (ConETrF), were selected to upscale daily values. Moreover, five reconstruction approaches, data assimilation (ET_EnKF ET_SCE_UA), surface resistance (ET_SR), (ET_ETrF), harmonic analysis...
Most current statistical models for downscaling the remotely sensed land surface temperature (LST) are based on assumption of scale-invariant LST-descriptors relationship, which is being debated and requires an in-depth examination. Additionally, research LST to high or very resolutions (~10 m) still rare. Here, a simple analytical model was developed quantify scale effect in from medium resolution (~100 resolutions. The verified Zhangye oasis Beijing city. Examinations simulation datasets...
Abstract The primary objective of this study is to assess the accuracy two-source variational data assimilation (TVDA) system for partitioning evapotranspiration (ET) into soil evaporation (ETS) and canopy transpiration (ETC). Its secondary aim compare performance TVDA with commonly used surface energy balance (TSEB) method. A combination eddy-covariance-based ET observations stable-isotope-based measurements ratio total (ETS/ET ETC/ET) over an irrigated cropland site (the so-called Daman...
Successfully applied in the carbon research area, sun-induced chlorophyll fluorescence (SIF) has raised interest of researchers from water domain. However, current works focused on empirical relationship between SIF and plant transpiration (T), while mechanistic linkage them not been fully explored. Two mechanism methods were developed to estimate T via SIF, namely water-use efficiency (WUE) method conductance based carbon–water coupling framework. The estimated by these two was compared...
Abstract. The energy and water vapor exchange between the land surface atmospheric boundary layer plays a critical role in regional climate simulations. This paper implemented hybrid data assimilation machine learning framework (DA-ML method) into Weather Research Forecasting (WRF) model to optimize soil vegetation conditions. method can integrate remotely sensed leaf area index (LAI), multi-source moisture (SM) observations, models (LSMs) accurately describe land–atmosphere interactions....
It is of great significance for the validation remotely sensed evapotranspiration (ET) products to solve spatial-scale mismatch between site observations and remote sensing estimations. To overcome this challenge, paper proposes a comprehensive framework obtaining ground truth ET at satellite pixel scale (1 × 1 km resolution in MODIS imagery). The main idea first quantitatively evaluate spatial heterogeneity land surface, then combine eddy covariance (EC)-observed (ET_EC) be able compare...