A5081276096- Tropical and Extratropical Cyclones Research
- Ocean Waves and Remote Sensing
- Meteorological Phenomena and Simulations
- Climate variability and models
- Marine and coastal ecosystems
- Oceanographic and Atmospheric Processes
- Atmospheric aerosols and clouds
- Coastal and Marine Dynamics
- Arctic and Antarctic ice dynamics
- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
- Hydrological Forecasting Using AI
- Precipitation Measurement and Analysis
- Soil Moisture and Remote Sensing
- Environmental and Industrial Safety
- Cryospheric studies and observations
- Wind and Air Flow Studies
- Remote Sensing in Agriculture
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2021
Institute of Remote Sensing and Digital Earth
2015-2019
Chinese Academy of Sciences
2015-2019
University of Chinese Academy of Sciences
2015-2019
State Key Laboratory of Remote Sensing Science
2015-2019
The high-spatial-resolution aerosol retrieval algorithm using Chinese High-Resolution Earth Observation Satellite I (GF-1) wide-field images is developed, which retrieves the optical depth (AOD) over China for studying impact of on climatic and environmental change. based red/blue surface reflectance correlations lookup table method. To reduce enormous relative error caused by constant relationship in algorithm, correlation parameterized as a function low, medium, high values normalized...
Based on widely used remote sensing ocean net primary production (NPP) datasets, the spatiotemporal variability of NPP is first analyzed over tropical eastern Indian and western Pacific Ocean for period 1998–2016 using conventional empirical orthogonal function (EOF), lead–lag correlation ensemble mode decomposition (EEMD) technique. Barnett Preisendorfer’s improved Canonical Correlation Analysis (BPCCA) also applied to derive covariability patterns with major forcing factors chlorophyll a...
A method of estimating tropical cyclone (TC) intensity based on Haiyang-2A (HY-2A) scatterometer, and Special Sensor Microwave Imager Sounder (SSMIS) observations over the northwestern Pacific Ocean is presented in this paper. Totally, 119 TCs from 2012 to 2017 typhoon seasons were selected, satellite-observed data China Meteorological Administration (CMA) TC best track data. We investigated relationship among maximum-sustained wind (MSW), microwave brightness temperature (TB), sea surface...
This paper reveals a study on air pollution process over North China, applying remote sensing technology, using satellite observation and in situ measurements during the twenty-first Asia-Pacific Economic Cooperation (APEC) meeting, which was held Beijing between 6 12 November when clear weather called “APEC-Blue”. In meantime, pollutants concentrations including PM2.5 PM10 were lower than 100 μg/m3 owing to effective government measures policies, as well meteorological conditions. High...
Abstract Satellite research on global sea surface winds is crucial for understanding and monitoring the dynamics of earth's oceans, providing valuable insights into weather patterns, climate changes, oceanographic processes. This study investigates fusion active (microwave scatterometer) passive radiometer) satellite data using Machine learning (ML) wind speed estimation. Employing Random Forest Regression (RF), Convolutional Neural Network (CNN), Multiple Linear (MLR). Evaluation against...
The China France Oceanography Satellite (CFOSAT) was launched on October 29, 2018, and is equipped with two sensors: a space-borne rotating fan beam scatterometer (CSCAT) surface wave investigation monitoring (SWIM) radar. CSCAT dedicated to sea winds (SSWs), the SWIM radar designed measure ocean waves. In this study, SSW products during global tropical cyclones (TCs) were validated using wind data from multiple sources, including European Center for Medium-Range Weather Forecasts (ECMWFs)...
This paper provides an overview of the Dragon 4 project dealing with operational monitoring sea ice and surface salinity (SSS) new product developments for altimetry data. To improve thickness retrieval, a method was developed to match Cryosat-2 radar waveform. Additionally, automated drift detection scheme tested on Sentinel-1 data, drifty capability Gaofen-4 geostationary optical data evaluated. A second topic included implementation validation prototype Fully-Focussed SAR processor...
Typhoon (TC) is one of the most powerful and destructive natural disasters. The analysis determination TC intensity great importance for disaster prevention [1] - [3] . Satellite remote sensing has become an effective means monitoring TCs based on its high temporal spatial resolution large coverage. It possible to estimate using these satellite measurements when direct are not available [4] Microwave observations from polar-orbiting satellites can play a crucial role in revealing convective...
Typhoon (TC) is one of the most powerful and destructive natural disasters. The analysis determination TC intensity great importance for disaster prevention. Satellite remote sensing has become an effective means monitoring TCs based on its high temporal spatial resolution large coverage. It possible to estimate using these satellite measurements when direct are not available. Microwave observations from polar-orbiting satellites can play a crucial role in revealing convective organization...
The greatest warm body in the world exists tropical oceans, which stimulates deep convection, resulting abundant water vapor and precipitation atmosphere. Using multiple SST datasets related atmospheric parameter data, this study examines multi-scale variabilities of Indo-Pacific pool (IPWP) as well associated rain (IPRP). results show that IPWP IPRP are spatially analogous have significant increasing trends intensity coverage. Seasonal variations strongest almost coincident with each other....
A radial basis function neural network (RBFNN) method is proposed to retrieve sea surface temperature (SST) in global coastal waters by passive microwave (PMW) radiometer measurements. Based on the RBFNN method, an optimal feature combination for model input layer obtained. The best parameters setting of determined grid-search method. Finally, a prediction which suitable SST inversion constructed. accuracy was evaluated using new data. Results show that SSTs retrieved this has mean bias <tex...
A model for evaluating pollutant concentrations near the around is developed. The main advantages of are its ability to estimate distribution and variation ground concentration under a nonuniform or unsteady wind field with minimal computations, elimination numerical pseudodiffusion.
To investigate the main modes of interannual variation chlorophyll-a (Chla) with seasonal evolution and its cycle in North Indian Ocean based on satellite-derived products during 1998–2016, a season-reliant empirical orthogonal function (S-EOF) analysis power spectrum Fourier transform are applied study. The first three dominate reveal distinct Chla variability, as S-EOF1 features by one dipole pattern have negative anomaly central western positive off Java–Sumatra coasts, which is mainly...
Sea wind speed (SWS) plays a key role for understanding air-sea interactions and marine physical processes. Both microwave radiometer scatterometer can provide SWS products. However, under high speeds (HWS), especially during tropical cyclones (TCs), these products have larger errors. This paper proposes method of combining active passive observations to invert the based on random forest (RF) regression global TCs. The estimation results indicated good accuracy RF-AP model with root mean...