A5078361927- Soil Moisture and Remote Sensing
- Precipitation Measurement and Analysis
- Plant Water Relations and Carbon Dynamics
- Hydrology and Watershed Management Studies
- Climate change and permafrost
- Climate variability and models
- Remote Sensing in Agriculture
- Cryospheric studies and observations
- Meteorological Phenomena and Simulations
- Hydrological Forecasting Using AI
- Flood Risk Assessment and Management
- Urban Heat Island Mitigation
- Land Use and Ecosystem Services
- Soil and Unsaturated Flow
- Hydrology and Drought Analysis
- Soil erosion and sediment transport
- Remote Sensing and Land Use
- Irrigation Practices and Water Management
- Atmospheric and Environmental Gas Dynamics
- Landslides and related hazards
- Remote Sensing and LiDAR Applications
- Clinical Nutrition and Gastroenterology
- Soil and Water Nutrient Dynamics
- Water Quality Monitoring Technologies
- Environmental Monitoring and Data Management
Sun Yat-sen University
2016-2025
National Sun Yat-sen University
2025
Merchants Chongqing Communications Research and Design Institute
2024
Zhejiang Provincial Public Security Department
2022
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2019-2021
Institute of Geographic Sciences and Natural Resources Research
2013-2020
Chinese Academy of Sciences
2010-2015
Agricultural Research Service
2014
University of Chinese Academy of Sciences
2013
Agricultural Information Institute
2013
Abstract. High-quality gridded soil moisture products are essential for many Earth system science applications, while the recent reanalysis and remote sensing data often available at coarse resolution only surface soil. Here, we present a 1 km long-term dataset of derived through machine learning trained by in situ measurements 1789 stations over China, named SMCI1.0 (Soil Moisture China data, version 1.0). Random forest is used as robust approach to predict using ERA5-Land time series, leaf...
Standardized Precipitation Index (SPI) and Evapotranspiration (SPEI), traditionally derived at a monthly scale, are widely used drought indices. To overcome temporal-resolution limitations, we have previously developed published well-validated daily SPI/SPEI in situ dataset. Although having high temporal resolution, this dataset presents low spatial resolution due to the scarcity of stations. Therefore, based on China Meteorological Forcing Dataset, which is composed data from more than...
Abstract The future state of drought in China under climate change remains uncertain. This study investigates events, focusing on the region China, using simulations from five global models (GCMs) three Shared Socioeconomic Pathways (SSP1-2.6, SSP3-7.0, and SSP5-8.5) participating Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3b). daily Standardized Precipitation Evapotranspiration Index (SPEI) is employed to analyze severity, duration, frequency over periods. Evaluation GCMs’...
Abstract The northern terrestrial biomes are being remarkably altered by climate change. Higher springtime temperature induces the earlier greening of vegetation, which may further influence ecosystem functions during subsequent season. However, response summer net productivity to spring vegetation greenness and phenology changes has not yet been quantified. To understand impact such phenological on carbon sink following season, here we integrate remotely-sensed data model simulations flux...
Soil erosion poses a significant threat to land conservation, freshwater security, and ocean ecology. Climate change, with rainfall as one of its primary drivers, exacerbates this problem. Therefore, reliably predicting future soil rates taking into account anthropogenic influences are crucial for policymakers researchers in the earth-system field. To address challenge, we have developed novel framework that combines Bayesian Model Averaging (BMA) method Revised Universal Loss Equation...
Abstract Using a decade of ground‐based soil moisture observations acquired from the United States Department Agriculture's Soil Climate Analysis Network (SCAN), we calculate mutual information (MI) content between multiple variables and near‐future vegetation condition to examine existence emergent drought in vertically integrated (surface 60 cm) ( θ 0–60 [cm] ) not present either superficial 5 or simple low‐pass transformation . Results suggest that while is indeed more valuable than for...
Abstract This study aims to identify the impact of vertical support on information content soil moisture (SM) for latent heat flux estimation. objective is achieved via calculation mutual (MI) between multiple variables (with different supports) and current/future evaporative fraction (EF) using ground-based latent/sensible observations acquired from AmeriFlux network within contiguous United States. Through intercomparison MI results SM–EF pairs, general value (for estimation) superficial ,...
Abstract While it is well known that rapid urbanization poses prominent effects on regional or local temperature changes under global warming, possible impacts of the in atmospheric aridity (measured by vapor pressure deficit [VPD]) are poorly understood. In this study, we provide a national investigation spatiotemporal over China recent decades analyzing observations at 2,000 weather stations across during 1971–2017 and further quantify different subregions. The results show most parts have...
Andun river basin of Southern China and 273 watersheds across the continental United States. Owing to data incompleteness changing environment, there is bias existing in driven models for streamflow prediction, greatly limiting their application actual practice. In this paper, we incorporate learning components into establish mapping-bias-learning models, design two groups experiments, one River other States (CONUS). first group respectively apply three machine algorithms traditional...
Abstract Four satellite-based precipitation products [TMPA real time (T-rt), its gauge-adjusted version (T-adj), Climate Prediction Center (CPC) morphing technique (CMORPH) (C-rt), and (C-adj)] were evaluated by a gauge-based synthesis dataset. Further, these along with the CMORPH gauge–satellite blended (C-ga), which is virtually C-adj in ungauged regions controlled gauge analysis over of dense station network, intercompared daily streamflow predicted distributed vegetation interface...
Natural climate change and human activities are the main driving forces associated with vegetation coverage change. Nanxiong Basin is a key ecosystem-service area at national level dense population highly representative of red-bed basins, which considered as fragile ecological units in humid regions. In this study, authors aimed to determine trends cover over past two decades study area. The Normalized Difference Vegetation Index (NDVI) 2000–2015, derived from Moderate Resolution Imaging...
Synthetic aperture radar (SAR) data have significant potential for soil moisture monitoring because of their high spatial resolution and independence from cloud coverage. However, it is challenging to retrieve SAR over vegetated areas, as vegetation significantly affects backscattered signals. Auxiliary information obtained optical images, such the normalized difference index (NDVI) leaf area (LAI), commonly used correct effects. generally difficult obtain in same simultaneously,...