A5037021459- Precipitation Measurement and Analysis
- Meteorological Phenomena and Simulations
- Climate variability and models
- Cryospheric studies and observations
- Security and Verification in Computing
- Soil Moisture and Remote Sensing
- Cryptography and Data Security
- Cryptographic Implementations and Security
- Air Quality Monitoring and Forecasting
- Hydrology and Watershed Management Studies
- Advanced Malware Detection Techniques
- Lignin and Wood Chemistry
- Flood Risk Assessment and Management
- Aerogels and thermal insulation
- Network Security and Intrusion Detection
- Surface Modification and Superhydrophobicity
- Environmental and Agricultural Sciences
- Tropical and Extratropical Cyclones Research
- Atmospheric aerosols and clouds
- Blockchain Technology Applications and Security
- Copper-based nanomaterials and applications
- Internet Traffic Analysis and Secure E-voting
- Advanced Photocatalysis Techniques
- Climate change and permafrost
- Geophysics and Gravity Measurements
Fujian Agriculture and Forestry University
2023-2024
Ningxia University
2020-2024
Peking University
2018-2024
Beijing Institute of Big Data Research
2022-2024
Central China Normal University
2024
China State Construction Engineering (China)
2024
Huazhong University of Science and Technology
2024
China Meteorological Administration
2019-2023
Chinese Academy of Meteorological Sciences
2021-2023
Chang'an University
2023
Abstract. Precipitation estimates with fine quality and spatio-temporal resolutions play significant roles in understanding the global regional cycles of water, carbon, energy. Satellite-based precipitation products are capable detecting spatial patterns temporal variations at resolutions, which is particularly useful over poorly gauged regions. However, satellite-based indirect precipitation, inherently containing seasonal systematic biases random errors. In this study, focusing on...
Abstract Accurate long-term precipitation information is critical for understanding the mechanisms behind how couples with Earth’s water fluxes, energy balances, and biogeochemical cycles across space–time scales under changing climate. This study proposes a novel approach [daily total volume controlled merging disaggregation algorithm (DTVCMDA)] generating new dataset, AERA5-Asia (0.1°, 1-hourly, 1951–2015, Asia; “AERA5” combination of “A” from APHRODITE “ERA5” ERA5-Land), by...
Triple collocation (TC) is a novel method for quantifying the uncertainties of three data sets with mutually independent errors and has been widely used over different geographical fields. Researches in recent years report that TC shows potential merging multiple from sources, while TC-based not precipitation. Using formulation, this study merges precipitation Climate Prediction Center's morphing technique (CMORPH), Precipitation Estimation Remotely Sensed Information using Artificial Neural...
NASA’s Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) is a major source of precipitation data, having larger coverage, higher precision, and spatiotemporal resolution than previous products, such as the Tropical Rainfall Measuring Mission (TRMM). However, there rarely has been an application IMERG products in flash flood warnings. Taking Yunnan Province typical study area, this first evaluated accuracy near-real-time Early run product (IMERG-E)...
ABSTRACT Very high‐resolution (∼1 km) precipitation datasets are needed in various applications, especially the hydrological, environmental, agricultural, and biological fields, although they also have major roles climate sciences. Nevertheless, studies concurred that spatial distribution of is influenced by land surface characteristics through non‐stationary relationships, this characteristic generally not considered fully either global or local models using fixed combinations variables...
Satellite-based quantitative precipitation estimates (QPE) with a fine quality are of great importance to global water cycle and matter energy exchange research. In this study, we firstly apply various statistical indicators evaluate compare the main current satellite-based products from Chinese Fengyun (FY)-2 Global Precipitation Measurement (GPM), respectively, over mainland China in summer, 2018. We find that (1) FY-2G QPE Integrated Multi-satellitE Retrievals for GPM (IMERG) perform...
The Integrated Multi-satellitE Retrievals for the Global Precipitation Measurement mission (IMERG) has been widely evaluated. However, most of these studies focus on ultimate merged satellite-gauge precipitation estimate and neglect valuable intermediate estimates which directly guide improvement IMERG product. This research aims to identify error sources latest version 6 by evaluating estimates, further examine influences regional topography surface type errors. Results show that among six...
Satellite-based precipitation estimates with high quality and spatial-temporal resolutions play a vital role in forcing global or regional meteorological, hydrological, agricultural models, which are especially useful over large poorly gauged regions. In this study, we apply various statistical indicators to comprehensively analyze the compare performance of five newly released satellite reanalysis products against China Merged Precipitation Analysis (CMPA) rain gauge data, respectively,...
The precipitation phase (i.e., rain and snow) is important for the global hydrologic cycle climate system. objective of this study to evaluate precipitation-phase partitioning capabilities remote sensing reanalysis modeling methods on scale. Specifically, observation data from National Centers Environmental Prediction (NCEP) Automated Data Processing (ADP), 2000 2007, are used rain–snow discrimination accuracy Integrated Multi-Satellite Retrievals Global Precipitation Measurement (IMERG)...
A cloud-dependent 1-D variational (1DVAR) precipitation retrieval algorithm applied to FengYun-3D microwave soundings (CD1DVAR-FY3DMS) is developed in this study. Compared with the current 1DVAR framework, cloud scene identification (CSI) first proposed delineate different weather conditions including clear sky, stratiform clouds, and convective clouds. Results of study a typical tropical cyclone event demonstrate that: 1) retrievals considering CSI (correlation coefficient ~0.72 root mean...
Amid the ongoing trend of global warming, distribution habitable areas for Rhododendron is facing significant risks. To investigate possible spatial on Qinghai-Xizang Plateau in light future warming scenarios, we employed Maximum entropy model (MaxEnt model) to map its suitable habitat using geographic data and environmental factors projected 2050s 2070s, considering three representative concentration pathway (RCP) while identifying key influencing their distribution. The results show that:...