- Plant Water Relations and Carbon Dynamics
- Hydrology and Watershed Management Studies
- Urban Heat Island Mitigation
- Climate variability and models
- Remote Sensing in Agriculture
- Soil Moisture and Remote Sensing
- Soil and Unsaturated Flow
- Remote Sensing and Land Use
- Meteorological Phenomena and Simulations
- Schizophrenia research and treatment
- Tree-ring climate responses
- Irrigation Practices and Water Management
- Cryospheric studies and observations
- Climate change and permafrost
- Solar Radiation and Photovoltaics
- Aeolian processes and effects
- Autism Spectrum Disorder Research
- Hydrology and Drought Analysis
- Functional Brain Connectivity Studies
- Environmental Changes in China
- Bipolar Disorder and Treatment
- Planetary Science and Exploration
- Karst Systems and Hydrogeology
- Treatment of Major Depression
- Greenhouse Technology and Climate Control
Southwest University
2017-2024
Anhui Normal University
2022-2024
Beijing Normal University
2014-2024
Shanghai Jiao Tong University
2012-2023
Shanghai Mental Health Center
2014-2023
Huaibei Normal University
2022-2023
Ministry of Natural Resources
2020
State Key Laboratory of Remote Sensing Science
2014-2016
United States Department of Agriculture
2016
Agricultural Research Service
2016
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...
Water use efficiency (WUE) measures the tradeoff between carbon uptake and water consumption in terrestrial ecosystems. It remains unclear how responses of WUE to drought vary with severity. We assessed spatio-temporal variations ecosystem its for ecosystems Southwest China over period 2000–2017. The annual values varied vegetation type region: Forests (3.25 gC kg−1H2O) > shrublands (2.00 croplands (1.76 grasslands (1.04 kg−1H2O). During 2000–2017, frequent droughts occurred China,...
Abstract. Oases and deserts generally act as a landscape matrix mosaic in arid semiarid regions. The significant difference thermal dynamic characteristics between an oasis desert surface will result oasis–desert interaction. Specifically, this refers to the interaction system via exchange of momentum, energy, water, carbon, which can lead series microclimate effects that affect structure atmospheric boundary layer, changes carbon sources sinks oasis, local ecological environment. Therefore,...
Land surface temperature (LST) is an important parameter to evaluate environmental changes. In this paper, time series analysis was conducted estimate the interannual variations in global LST from 2001 2016 based on moderate resolution imaging spectroradiometer (MODIS) LST, and normalized difference vegetation index (NDVI) products fine particulate matter (PM2.5) data Atmospheric Composition Analysis Group. The results showed that seasonally integrated (SINDVI), PM2.5 increased by 0.17 K,...
Evapotranspiration (ET) and its components of soil evaporation (E) vegetation transpiration (T), as key variables for the water-energy exchange between land surface atmosphere, are widely used in hydrological agricultural applications. The temperature based two-source energy balance (TSEB) model can provide high accuracy E, T ET, which spatio-temporally discontinuous, whereas continuous daily ET is more helpful water resources management. In this study, to improve continuity estimates from...
Drought can cause severe agricultural economic losses and hinder social development. To manage drought, the process of drought events needs to be described with help an effective indicator. As a comprehensive variable, soil moisture is essential indicator for describing drought. In this work, extreme in southwest China were analysed by Global Land Data Assimilation System (GLDAS) root zone data set. define quantitatively, Standardized Soil Moisture Index (SSMI) was calculated using data,...
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:...
The determination of the spatial heterogeneity regional evapotranspiration over a complex underlying surface in an oasis-desert region is crucial for water resource management river basin and aiding irrigation decisions. energy balance system (SEBS) model has been widely used to estimate fluxes. However, parameterization roughness length momentum transfer (z <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0m</sub> ) heat...