A5102784111- Climate variability and models
- Meteorological Phenomena and Simulations
- Oceanographic and Atmospheric Processes
- Tropical and Extratropical Cyclones Research
- Atmospheric Ozone and Climate
- Atmospheric and Environmental Gas Dynamics
- Precipitation Measurement and Analysis
- Atmospheric chemistry and aerosols
- Arctic and Antarctic ice dynamics
- Marine and fisheries research
- Geophysics and Gravity Measurements
- Cryospheric studies and observations
- Heat Transfer and Boiling Studies
- Geological and Geophysical Studies
- Ocean Waves and Remote Sensing
- Solar and Space Plasma Dynamics
- Marine and coastal ecosystems
- Environmental and Agricultural Sciences
- Hydrology and Drought Analysis
- Coastal and Marine Management
- Geology and Paleoclimatology Research
- Climate change and permafrost
- Atmospheric aerosols and clouds
- Global trade and economics
- Global Financial Crisis and Policies
Fudan University
2025
Guangdong Ocean University
2016-2024
China Meteorological Administration
2024
Nanjing University of Information Science and Technology
2012-2022
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2020-2021
George Mason University
2008-2019
Chinese Academy of Meteorological Sciences
2017
National Oceanic and Atmospheric Administration
2004-2013
NOAA Center for Satellite Applications and Research
2006-2011
NOAA National Environmental Satellite Data and Information Service
2010-2011
Abstract Compared to precipitation extremes calculated from a high-resolution daily observational dataset in China during 1960–2005, simulations 31 climate models phase 5 of the Coupled Model Intercomparison Project (CMIP5) have been quantitatively assessed using skill-score metrics. Four extreme indices, including total (PRCPTOT), maximum consecutive dry days (CDD), intensity (SDII), and fraction rainfall heavy events (R95T) are analyzed. Results show that CMIP5 still wet biases western...
Abstract The present article is the second part of a study on extreme precipitation indices over China in CMIP5 models that perform probabilistic projection future with reference to period 1986–2005. This realized rank-based weighting method. ranking 25 done according their performance simulating rainfall present-day climate. Such weights are used form weighted ensemble for climate projection. Results show that, compared unweighted raw ensemble, scheme more credible, as signal-to-noise ratio...
Abstract The study of energy flows in the Earth system is essential for understanding current climate change. To understand how accumulating and being distributed within system, an updated reconstruction fluxes at top atmosphere, surface atmosphere derived from observations presented. New satellite ocean data are combined with improved methodology to quantify recent variability meridional land heat transports since 1985. A global net imbalance found increase 0.10 ± 0.61 W m −2 over 1985–1999...
The diversity of bacteria and fungi is linked to distinct ecosystem functions, divergent responses global changes in these two kingdoms affect the relative contributions soil carbon nutrient cycles. Climate warming nitrogen (N) enrichment, which are projected increase concurrently through modelling efforts, considered main drivers biodiversity loss. However, it unclear how bacterial fungal respond differently simultaneous occurrence climate underlying mechanisms involved remain unknown....
Based on the time of first occurrence a significant sea surface temperature anomaly (SSTA) in Niño-3.4 area (5°S–5°N, 170°–120°W), two types El Niño episodes can be identified: spring (SP) type which SSTA increased to greater than 0.5°C April or May, and summer (SU) this threshold is reached July August. Composites SSTAs for these events during period 1950–97 show that SP event generally stronger (weaker) warm episode terms amplitude, longer (shorter) 0.5°C. Before both episodes, zonal wind...
Abstract In 2011, the National Oceanic and Atmospheric Administration (NOAA) began a cooperative initiative with academic community to help address vexing issue that has long been known as disconnection between operational research realms for weather forecasting data assimilation. The is gap, more exotically referred “valley of death,” efforts within broader NOAA’s activities, which are heavily driven by constraints. With stated goals leveraging benefit mission offering path operations...
Abstract. Reanalysis data play a vital role in weather and climate study as well meteorological resource development application. In this work, the East Asia System (EARS) was developed using Weather Research Forecasting (WRF) model Gridpoint Statistical Interpolations (GSI) assimilation system. The regional reanalysis system is forced by European Centre for Medium-Range Forecasts (ECMWF) global ERA-Interim at 6 h intervals. Hourly surface observations are assimilated Four-Dimension Data...
Abstract Globally, reanalysis data sets are widely used in assessing climate change, validating numerical models, and understanding the interactions between components of a system. However, due to relatively coarse resolution, most global not suitable apply at local regional scales directly with inadequate descriptions mesoscale systems climatic extreme incidents such as convective systems, squall lines, tropical cyclones, droughts, heat waves. In this study, by using assimilation system...
Abstract This paper will first describe the forecasting errors encountered from running National Center for Atmospheric Research (NCAR) mesoscale model (the Advanced Weather and Forecasting model; ARW) in complex terrain of southwest Asia 1 to 31 May 2006. The subsequent statistical evaluation is designed assess model’s surface upper-air forecast accuracy. Results show that biases caused by inadequate parameterization physical processes are relatively small, except 2-m temperature, as...
The purpose of this paper is to investigate whether a logical chain events can be established explain the abrupt climatic regime shift changes in Pacific that link atmosphere ocean fisheries impacts. investigation endeavors identify synchronous series data sets establish feasibility climate change often referred as shifts. study begins by using biological (fish catch/stock) markers mathematically dates change. are confirmed literature search parameters also show on same dates. Using date...
Abstract. By using the multi-source data of meteorology over recent decades, this study discovered a summertime “hollow wet pool” in troposphere with center high water vapor Asian tower (AWT) on Tibetan Plateau (TP), which is indicated by vertical transport “window” troposphere. The upper extends from window TP significant connections among Arctic, Antarctic and regions, highlighting effect TP's global change vapor. built AWT's thermal forcing association dynamic heat island”. Our improves...
Based on the ensemble spread, a methodology of measuring uncertainty in weather forecasts, temperature trend and spread have been estimated using five radiosonde data sets seven reanalysis products beginning 1989. The results show that magnitude warming or cooling depends sources, atmospheric heights, geophysical latitudes. Over low‐middle latitudes, varies from −2.6 K/decade NCEP‐DOE to −0.8 HADAT2 lower stratosphere. weakly changes 0.2 through 0.4 middle troposphere. Antarctica, there is...
The Asian summer monsoon (ASM) in 1998 first broke out over the Bay of Bengal (BoB) on May 15, then South China Sea (SCS) 25, and Asia (the Indian monsoon) around June 10. However, meridional temperature gradient upper troposphere (200-500 hPa) south Tibetan Plateau did not reverse its sign until onset monsoon. This suggests that some other mechanism must be responsible for BoB, which is often referred to as transition ASM. main objective this study explore such a through an observational...
Studying the dynamics of North American Monsoon System (NAMS) is essential for understanding and assessing predictability its variability. Limited‐area models are potentially useful tools this endeavor, but it important to first identify suite physical parameterizations that yields most realistic simulations. We investigate how different convection radiation schemes influence simulations NAMS produced with MM5/OSU model. focus on simulated intraseasonal variability associated monsoon onset...
In this study, the seasonal development of North American monsoon system (NAMS), as simulated by a mesoscale model during 22-yr simulation from 1980 through 2001, is assessed. Comparison between simulations and observations shows that reproduces precipitation, skin temperature, wind field patterns in (May–July) NAMS reasonably well features spatial heterogeneity are described correctly. The onset central southern Sierra Madre Occidental (SMO) Mexico occurs on 20 June, about 2 weeks earlier...
Abstract In this study, the Pennsylvania State University/National Center for Atmospheric Research fifth generation Mesoscale Model (MM5) linked to Oregon University (OSU) land‐surface scheme, is used assess strength of soil moisture–precipitation feedback in region influence North American monsoon (NAM). Two control simulations are made with external forcing taken from National Centers Environmental Prediction re‐analysis, and a nested horizontal resolution 30 km, period 1 June September...
Abstract The evolution and structure of rainstorms associated with a flash‐flood event are simulated by the Advanced Weather Research Forecasting (WRF‐ARW) model National Center for Atmospheric Gridpoint Statistical Interpolation (GSI) data assimilation (DA) system Oceanic Administration (NOAA) United States. is based on flash flood that occurred in central Guangdong Province south‐east China during 20–21 June 2005. Compared to an hourly mixed rain‐gauge satellite‐retrieved precipitation...
Abstract. On the basis of fifth Coupled Model Intercomparison Project (CMIP5) and climate model simulations covering 1979 through 2005, temperature trends their uncertainties have been examined to note similarities or differences compared radiosonde observations, reanalyses third (CMIP3) simulations. The results show noticeable discrepancies for estimated in four data groups (radiosonde, reanalysis, CMIP3 CMIP5), although can be observed. Compared simulations, some CMIP5 models were...
ABSTRACT Timely assessment of crop N content is critical for growth diagnosis and precision management to generate higher yield better quality. The objective this study was determine the optimal spectral index build a retrieval model diagnosing shoot (SNC) wheat ( Triticum aestivum L.) at vegetative stage using ground‐based hyperspectral reflectance data. Hyperspectral indices were investigated evaluate their capabilities concentration estimation by Pearson's correlation analysis. analysis...
Trend uncertainty in the ozone valley over Tibetan Plateau (OVTP) and South Asian high (SAH) during 1979–2009 ERA-Interim (interim reanalysis data from ECMWF), JRA-55 (55-yr Japan Meteorological Agency), NCEP-CFSR (Climate Forecast System Reanalysis) datasets was evaluated. The results showed that OVTP became strong summers of 1979–2009, whereas it weak according to JRA-55. Satellite merged with TOMS (Total Ozone Mapping Spectrometer) OMI (Ozone Monitoring Instrument) agreed trend NCEP-CFSR....