A5005407496- Tropical and Extratropical Cyclones Research
- Climate variability and models
- Meteorological Phenomena and Simulations
- Flood Risk Assessment and Management
- Ocean Waves and Remote Sensing
- Remote Sensing and Land Use
- Precipitation Measurement and Analysis
Shenzhen Institutes of Advanced Technology
2021-2024
Chinese Academy of Sciences
2021-2024
University of Chinese Academy of Sciences
2024
Climate classification plays a fundamental role in understanding climatic patterns, particularly the context of changing climate. This study utilized hourly meteorological data from 36 major cities China 2011 to 2021, including 2 m temperature (T2), relative humidity (RH), and precipitation (PRE). Both original sequences daily value were used as inputs, applying two non-hierarchical clustering methods (k-means k-medoids) four hierarchical (ward, complete, average, single) for clustering. The...
This study focuses on optimizing precipitation forecast induced by tropical cyclones (TCs) in the Northwest Pacific region, with lead times ranging from 6 to 72 h. The research employs deep learning models, such as U-Net, UNet3+, SE-Net, and SE-UNet3+, which utilize data Global Forecast System (GFS) real-time GFS environmental background using a U-Net structure. To comprehensively make use of forecasts these we additionally probabilistic matching (PM) simple averaging (AVR) rainfall...
Abstract Interactions between landfalling tropical cyclones (TCs) and monsoons in South China significantly influence precipitation duration, leading to severe disasters. Previous studies have primarily been individual cases, lacking systematic large-scale statistical analysis of the monsoon cyclone persistent (LTCPP) relationship. This study quantitatively investigated relationship monsoonal wind intensity before TCs landfall post-landfall induced by China, employing ERA5 reanalysis data...
Based on ten-year tropical cyclones (TCs) observations from 2009 to 2018, the black body temperature (TBB, also called cloud-top brightness temperature) data obtained infrared channel 1 (with wavelength of 10.30–11.30 µm) FY-2 satellite image, and wind observation at automatic weather stations (AWSs) in Guangdong province, this study explores relationship between TBBs winds induced by TCs AWSs. It is found that speeds AWSs cannot be directly using TBB value inversion, but maximum potential...