- Climate variability and models
- Hydrology and Watershed Management Studies
- Atmospheric and Environmental Gas Dynamics
- Plant Water Relations and Carbon Dynamics
- Meteorological Phenomena and Simulations
- Hydrology and Drought Analysis
- Ionosphere and magnetosphere dynamics
- Flood Risk Assessment and Management
- Geochemistry and Geologic Mapping
- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Atmospheric aerosols and clouds
- Fire effects on ecosystems
- Geophysics and Gravity Measurements
- Water Quality Monitoring and Analysis
- Crop Yield and Soil Fertility
- Water Quality Monitoring Technologies
- Soil Moisture and Remote Sensing
- Remote Sensing and Land Use
- Diamond and Carbon-based Materials Research
- Metal and Thin Film Mechanics
- Methane Hydrates and Related Phenomena
- Climate Change Policy and Economics
- Plant Ecology and Soil Science
- Precipitation Measurement and Analysis
Institute of Geographic Sciences and Natural Resources Research
2021-2024
Chinese Academy of Sciences
2021-2024
The University of Melbourne
2016-2023
East China Normal University
2019-2022
Beijing Normal University
2006-2021
Peking University
2018-2019
CSIRO Oceans and Atmosphere
2016
State Key Laboratory of Remote Sensing Science
2006-2014
Lanzhou University
2010-2013
Global land water underpins livelihoods, socioeconomic development, and ecosystems. It remains unclear how availability has changed in recent decades. Using an ensemble of observations, we quantified global over the past two We show that Southern Hemisphere dominated declining trend from 2001 to 2020. The significant decrease occurs mainly South America, southwestern Africa, northwestern Australia. In Northern Hemisphere, complex regional increasing decreasing trends cancel each other,...
Abstract Evapotranspiration (ET), as a key exchanging component of the land energy, water and carbon cycles, is expected to increase in response greening under warming climate. However, relative importance major drivers (e.g. leaf area index (LAI), climate forcing, atmospheric CO 2 , etc) long-term ET change remain largely unclear. Focusing on Eurasia which experienced strong vegetational greening, we aim estimate trend its drivers’ contributions by applying remote sensing-based water-carbon...
Abstract Growing crop production increases agricultural water consumption (AWC), but whether these two factors are matched in northern and southern China the past decades remains controversial. Here we used a remote sensing‐based water‐carbon coupling model combined with satellite observations to quantify production, AWC, deficit changes over 2003–2018. We show that China, AWC significantly ( p < 0.05) increased, mainly due planting area expansion, increasing rates were 2.6 6.2 times...
Abstract Significant land greening since the 1980s has been detected through satellite observation, forest inventory, and Earth system modeling. However, whether to what extent global enhances ecosystem carbon stock remains uncertain. Here, using 40 models, we first a positive correlation between terrestrial leaf area index (LAI) over time. Then, diagnose source of uncertainty simulated sensitivities LAI based on traceability analysis. We found that sensitivity gross primary productivity...
Abstract It is well known that global ecosystem water-use efficiency (EWUE) has noticeably increased over the last several decades. However, it remains unclear how individual environmental drivers contribute to EWUE changes, particularly from CO 2 fertilization and stomatal suppression effects. Using a satellite-driven water–carbon coupling model—Penman–Monteith–Leuning version (PML-V2), we quantified contributions observational (atmospheric , climate forcing, leaf area index (LAI), albedo...
Abstract Accurately estimating actual evapotranspiration (ET) across global land surface is one of the key challenges in terrestrial hydrological cycles and energy flux balance studies. Gridded ET products have potential for application ungauged basins, but their uncertainties are possibly large it remains unclear which best a given basin. The water (WB) method provides direct estimate basin scale ET, cannot be used basins where streamflow data unavailable. Here, we first assess performance...
The efficient management of water resources is critical for sustainable agricultural practices, particularly in arid and semi-arid regions. This study aims to assess crop yield use efficiency (WUE) maize wheat Northern China, with a focus on irrigation management, using the Agricultural Production Systems sIMulator (APSIM). APSIM, widely used modeling tool, provides robust framework simulating growth, yield, consumption under different climatic scenarios.Our research integrates historical...
Accurate streamflow estimation is crucial for effective water resource management and flood forecasting. However, physics-based hydrological models fail to respond promptly rapid events due lack efficiency in model calibration computing time large-scale catchment , while existing deep learning tend neglect the physical processes of runoff transfer, failing account spatial temporal dependencies inherent dynamics. In this study, we propose a topological process-based that integrates Graph...
Net biome productivity (NBP) dominates the observed large variation of atmospheric CO2 annual increase over last five decades. However, dominant regions controlling inter-annual to multi-decadal variability global NBP are still controversial (semi-arid vs. temperate or tropical forests). By developing a theory for partitioning variance into contributions net primary production (NPP) and heterotrophic respiration (Rh ) at different timescales, using both observation-based inversion product...
Vegetation index (VI) is an important variable for retrieving the vegetation biophysical parameters. With different kinds of remote sensing data sets, it easy to get VI at spatial and temporal resolutions. However, main concern whether relationship existing some scale between parameters still applicable other scales. This paper first presents a method correct scaling effect NDVI by mathematic analysis, then analyses sensitivity with from spectral database. The result shows that obtained...
Abstract Subsurface water storage is a key component in the cycle, and China facing severe issues with resource shortage. This study estimates terrestrial (TWS) changes from 2003 to 2017 using balance approach over seven large basins China. The estimated inter‐annual variations trends TWS correspond well those obtained Gravity Recovery Climate Experiment observation. Variance analysis shows that annual precipitation northern plays more important role controlling variability than southern...
Abstract As an essential source of freshwater river flow comprises ~80% the water consumed in China. Per capita resources China are only a quarter global average, and its economy is demanding resources; this creates urgent need to quantify factors that contribute changes flow. Here, we used offline process-based land surface model (ORCHIDEE) at high spatial resolution (0.1° × 0.1°) simulate contributions climate change, rising atmospheric CO2 concentration, land-use change natural for 10...
Abstract Soil organic carbon (SOC) loss caused by wind erosion can profoundly impact (C) balance in arid and semiarid regions. Nevertheless, previous researches mainly focused on the direct effect of through removing surface soil only but ignored its indirect effects associated with nitrogen (N) subsequent reductions plant productivity. To better understand SOC storage, we conducted a large‐scale field experiment manipulating at 371 sites regions northwest China from 2014 to 2016. We further...
Estimating accurately evapotranspiration (ET) in urban ecosystems is difficult due to the complex surface conditions and a lack of fine measurement vegetation dynamics. To overcome such difficulties using recent developments remote sensing technology, we estimate leaf area index (LAI) from Sentinel-2-based Normalized Difference Vegetation Index (NDVI) NDVI–LAI nonlinear relationship. By applying LAI land cover classification (LCC) carbon-water coupling model (PML-V2.1) with meteorological...