A5058689893- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Meteorological Phenomena and Simulations
- Soil Moisture and Remote Sensing
- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Precipitation Measurement and Analysis
- Remote Sensing in Agriculture
- Climate change and permafrost
- Cryospheric studies and observations
- Remote Sensing and LiDAR Applications
- Remote Sensing and Land Use
- Tree-ring climate responses
- Environmental Toxicology and Ecotoxicology
- Fish Biology and Ecology Studies
- Atmospheric and Environmental Gas Dynamics
- Advanced biosensing and bioanalysis techniques
- Microbial Community Ecology and Physiology
- Geophysics and Gravity Measurements
- Remote-Sensing Image Classification
- Migration, Ethnicity, and Economy
- Climate change impacts on agriculture
- Geology and Paleoclimatology Research
- Environmental Impact and Sustainability
- HIV/AIDS Impact and Responses
Nanjing University of Information Science and Technology
2016-2025
Guangdong Province Environmental Monitoring Center
2020-2024
Pennsylvania State University
2024
University of Lausanne
2023
Chinese Academy of Fishery Sciences
2023
Eastern Oregon University
2016-2020
Oregon State University
2016-2020
Shaanxi Normal University
2009
Nanjing Institute of Geography and Limnology
2006
Chinese Academy of Sciences
2006
Assessing the long-term precipitation changes is of utmost importance for understanding impact climate change. This study investigated variability extreme events over Pakistan on basis daily data from 51 weather stations 1980-2016. The non-parametric Mann–Kendall, Sen’s slope estimator, least squares method, and two-tailed simple t-test methods were used to assess trend in eight indices. These indices wet days (R1 ≥1 mm), heavy (R10 ≥ 10 very (R20 20 severe (R50 50 (R95p) defining 95...
Abstract During 1961–2012, the regional average annual potential evapotranspiration (PET) of Southwest China (SWC) and four subregions (named as SR1, SR2, SR3, SR4) showed different decreases (excluding SR3); while breakpoint analysis suggested that PET changes (i.e., sign magnitude) have shifted. Based on a group sensitivity experiments with Penman‐Monteith equation new separating method, contributions each climate factor alone net radiation, R n; mean temperature, Tave; wind speed, Wnd;...
The accurate acquisition of water information from remote sensing images has become important in resources monitoring and protections, flooding disaster assessment. However, there are significant limitations the traditionally used index for body identification. In this study, we have proposed a deep convolutional neural network (CNN), based on multidimensional densely connected (DenseNet), identifying Poyang Lake area. results DenseNet were compared with classical networks (CNNs): ResNet,...
The Yangtze River is the mother river of China. To promote aquatic ecosystem protection great river, Project Fisheries Resources and Environment Investigation (2017–2021) supported by Ministry Agriculture Rural Affairs, P. R. China carried out 24 institutes universities that located in basin surveys status (1) fish species composition spatial distribution, (2) current abundance, (3) endangered fishes, (4) finless porpoise, (5) eco-environments, (6) water-level fluctuation areas, (7) capture...
As an essential variable in linking water, carbon, and energy cycles, evapotranspiration (ET) is difficult to measure. Remote sensing, reanalysis, land surface model-based ET products offer comprehensive alternatives at different spatio-temporal intervals, but their performance varies. In this study, we selected four popular global products: The Global Land Evaporation Amsterdam Model version 3.0a (GLEAM3.0a), the Modern Era Retrospective-Analysis for Research Applications-Land (MERRA-Land)...
Climate projections are essential for decision-making but contain non-negligible uncertainty. To reduce projection uncertainty over Asia, where half the world's population resides, we develop emergent constraint relationships between simulated temperature (1970-2014) and precipitation (2015-2100) growth rates using 27 CMIP6 models under four Shared Socioeconomic Pathways. Here show that, with successfully narrowed by 12.1-31.0%, constrained future 0.39 ± 0.18 mm year
Abstract. Actual evapotranspiration (ET) is an essential variable in the hydrological process, linking carbon, water, and energy cycles. Global ET has significantly changed warming climate. Although increasing vapor pressure deficit (VPD) enhances atmospheric water demand due to global warming, it remains unclear how dynamics of are affected. In this study, using multiple datasets, we disentangled relative contributions precipitation, net radiation, air temperature (T1), VPD, wind speed on...
Drought is a natural disaster that occurs globally and can damage the environment, disrupt agricultural production cause large economic losses. The accurate prediction of drought effectively reduce impacts droughts. Deep learning methods have shown promise in prediction, with convolutional neural networks (CNNs) being particularly effective handling spatial information. In this study, we employed deep approach to predict Fenhe River (FHR) basin, taking into account meteorological conditions...
Abstract This study investigated monthly and annual reference evapotranspiration changes over southwestern China (SWC) from 1960 to 2012, using the Food Agriculture Organization of United Nations’ report 56 (FAO-56) Penman–Monteith equation routine meteorological observations at 269 weather sites. During 1960–2012, decreased most Moreover, SWC regional average trend in was significantly negative (p < 0.05); this same months. A new separation method several numerical experiments...
Planktonic microorganisms play a key role in the biogeochemical processes of aquatic system, and they may be affected by many factors. High-throughput sequencing technology was used this study to investigate bacterioplankton community water bodies upper reaches Heihe River Basin Qinghai Plateau. Results showed that Proteobacteria, Firmicutes, Bacteroidetes Actinobacteria are predominant phyla river section, while main genera Thiomonas, Acidibacillus, Acidocella, Rhodanobacter,...
Abstract Land evaporation (ET) is of great significance in climate change research, water resource management, and numerical weather forecasting. In this study, Ridge Regression Method Sensitivity Analysis Methods have been used to study the projected land changes over China, its response vegetation greening under low (Shared Socioeconomic Pathway [SSP]1‐2.6), medium (SSP2‐4.5), high (SSP5‐8.5) forcing scenarios during 2020–2099, based on 16 latest generation Earth System Models (ESMs)...
Fire is a common circumstance in the world. It causes direct casualties and economic losses, also brings severe negative influences on atmospheric environment. In background of climate warming rising population, it important to understand fire responses regarding spatio-temporal changes. Thus, long-term change analysis fires needed China. We use remote sensed MOD14A1/MYD14A1 products analyze seasonal variations trends, based five main land cover types (forest, cropland, grassland, savannas...
The main goal of this study was to assess the interannual variations and spatial patterns projected changes in simulated evapotranspiration (ET) 21st century over continental Africa based on latest Shared Socioeconomic Pathways Representative Concentration (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5) provided by France Centre National de Recherches Météorologiques (CNRM-CM) model Sixth Phase Coupled Model Intercomparison Project (CMIP6) framework. temporal were computed for three time slices:...
Accurate assessment of the extent crop distribution and mapping different types are essential for monitoring managing modern agriculture. Medium high spatial resolution remote sensing (RS) Earth observation deep learning (DL) constitute one most major effective tools mapping. In this study, we used high-resolution Sentinel-2 imagery from Google Engine (GEE) to map paddy rice winter wheat in Bengbu city Anhui Province, China. We compared performance popular DL backbone networks with...
Soil moisture is an important factor in land-atmosphere interactions and other land processes. Improved estimates from climate models have, the last two decades, become alternate source of information. In this study, we extend evaluation soil anomalies different generations three families model datasets (the European Center for Medium-Range Weather Forecasts’ (ECMWF) reanalysis, Modern Era Retrospective Analysis Research Applications NASA, Global Land Data Assimilation System theNational...
Actual evapotranspiration (ET) and its individual components’ contributions to the water–energy nexus provide insights into our hydrological cycle in a changing climate. Based on long-term satellite ET data assimilated by Global Land Evaporation Amsterdam Model (GLEAM), we analyzed changes components over Nile River Basin from 1980 2014. The results show multi-year mean of 518 mm·year–1. trend showed decline at rate 18.8 mm·year–10. strong seasonality contribution total varied space time....