A5103037144- Climate variability and models
- Air Quality Monitoring and Forecasting
- Meteorological Phenomena and Simulations
- Plant Ecology and Soil Science
- Hydrology and Drought Analysis
- Wind and Air Flow Studies
- Urban Heat Island Mitigation
- Atmospheric chemistry and aerosols
- Nanoplatforms for cancer theranostics
- Forest, Soil, and Plant Ecology in China
- Complex Systems and Time Series Analysis
- Evolution and Paleontology Studies
- Advanced Nanomaterials in Catalysis
- Paleontology and Stratigraphy of Fossils
- Atmospheric and Environmental Gas Dynamics
- Environmental and Agricultural Sciences
- Groundwater and Isotope Geochemistry
- Paleontology and Evolutionary Biology
- Climate change impacts on agriculture
- Karst Systems and Hydrogeology
- Groundwater flow and contamination studies
- Advanced biosensing and bioanalysis techniques
- Tree-ring climate responses
- Water Quality and Pollution Assessment
- Air Quality and Health Impacts
First Affiliated Hospital of Xiamen University
2025
Capital Normal University
2024
Institute of Atmospheric Physics
2021-2023
Chinese Academy of Sciences
2021-2023
China University of Geosciences (Beijing)
2020
Universität Hamburg
2020
Peking University
2020
Abstract One of the most intriguing facets climate system is that it exhibits variability across all temporal and spatial scales; pronounced examples are temperature precipitation. The structure this variability, however, not arbitrary. Over certain ranges, can be described by scaling relationships in form power laws probability density distributions autocorrelation functions. These quantified exponents which measure how changes scales intensity with frequency occurrence. Scaling determines...
Abstract Extreme precipitation events are a major natural hazard and cause significant socio‐economic damages. Precipitation spatially extended and, thus, can large water accumulations, which lead to flooding events. In order help design flood protection infrastructure, detailed investigation of the temporal spatial dependencies extreme is essential. Here, we use statistical extremes framework systematically study historical projected spatial–temporal characteristics in Germany. For this...
Abstract. An advanced approach of conditional non-linear optimal perturbation (CNOP) was adopted to identify the sensitive area for targeted observations meteorological fields associated with PM2.5 concentration forecasts a heavy haze event that occurred in Beijing–Tianjin–Hebei (BTH) region, China, from 30 November 4 December 2017. The results show few specific regions southern and northwestern directions close BTH region represent areas. Numerically, when predetermined artificial observing...
Abstract. An advanced approach of Conditional Nonlinear Optimal Perturbation (CNOP) was adopted to identify the sensitive area for targeting observations meteorological fields associated with PM2.5 concentration forecasts a heavy haze event that occurred in Beijing-Tianjin-Hebei (BTH) region, China, from 30 November 4 December 2017. The results show few specific regions southern and northwestern directions close BTH region represent areas. Numerically, when predetermined artificial observing...
Abstract As an intrinsic feature of daily surface air temperature (SAT) variability found in station measurements, temporal asymmetry (TA) can be taken as evaluation metric to access the quality SAT re-analysis product. In this study, TA calculated from four variables, i.e. mean (T mean) , maximum max ), minimum min ) and diurnal range DTR =T -T is applied evaluate synoptic-scale performance reanalysis products (NCEP-2, JRA-55, ERA-I ERA-5) over China. The results show that re-analyses...