A5101670334- Climate variability and models
- Meteorological Phenomena and Simulations
- Oceanographic and Atmospheric Processes
- Tropical and Extratropical Cyclones Research
- Cryospheric studies and observations
- Environmental and Agricultural Sciences
- Environmental Changes in China
- Remote Sensing and Land Use
- Ionic liquids properties and applications
- Nanocomposite Films for Food Packaging
- Marine and coastal ecosystems
- Microbial Community Ecology and Physiology
- Arctic and Antarctic ice dynamics
- Atmospheric chemistry and aerosols
- Mycorrhizal Fungi and Plant Interactions
- Dendrimers and Hyperbranched Polymers
- Analytical chemistry methods development
- Atmospheric and Environmental Gas Dynamics
- Climate change and permafrost
- Forest Ecology and Biodiversity Studies
- Wind Energy Research and Development
- Climate change impacts on agriculture
- Hydrological Forecasting Using AI
- Energy Load and Power Forecasting
- Microbial bioremediation and biosurfactants
China Meteorological Administration
2015-2025
Chinese Academy of Meteorological Sciences
2022
Northwest A&F University
2018-2019
Nanjing Tech University
2016-2018
East China University of Science and Technology
2017
Beijing Normal University
2017
National Center for Climate Change Strategy and International Cooperation
2012
Chinese Academy of Sciences
2005-2007
Institute of Atmospheric Physics
2005-2007
Soil microbiomes play an important role in the services and functioning of terrestrial ecosystems. However, little is known their vertical responses to restoration process contributions soil nutrient cycling subsurface profiles. Here, we investigated community assembly bacteria, archaea, fungi along (i.e., depths 0–300 cm) horizontal distance from trees 30–90 profiles a chronosequence reforestation sites that represent over 30 years restoration. In superficial layers (0–80 cm), bacterial...
Abstract The paper examines terrestrial and oceanic carbon budgets from preindustrial time to present day in the version of Beijing Climate Center System Model (BCC_CSM1.1) which is a global fully coupled climate‐carbon cycle model. Atmospheric CO 2 concentration calculated prognostic equation taking into account anthropogenic emissions interactive exchanges land‐atmosphere ocean‐atmosphere. When forced by prescribed historical combustion fossil fuels land use change, BCC_CSM1.1 can...
By conducting several sets of hindcast experiments using the Beijing Climate Center System Model, which participates in Sub-seasonal to Seasonal (S2S) Prediction Project, we systematically evaluate model's capability forecasting MJO and its main deficiencies. In original S2S set, forecast skill is about 16 days. Such a shows significant seasonal-to-interannual variations. It found that model-dependent more correlated with Indian Ocean Dipole (IOD) than El Niño–Southern Oscillation. The...
Abstract Uncovering the plant‐soil feedback mechanisms underlying assembly of belowground microbial communities is essential for terrestrial biodiversity conservation. However, little known about small‐scale spatial processes distinct soil microorganisms, especially during natural restoration ex‐arable ecosystems. We examined structure microbiomes in arable land and reforested soils to elucidate at a small scale. The analysis was based on MiSeq sequencing database, detecting diversity...
This study evaluates performance of Madden–Julian oscillation (MJO) prediction in the Beijing Climate Center Atmospheric General Circulation Model (BCC_AGCM2.2). By using real-time multivariate MJO (RMM) indices, it is shown that skill BCC_AGCM2.2 extends to about 16–17 days before bivariate anomaly correlation coefficient drops 0.5 and root-mean-square error increases level climatological prediction. The showed a seasonal dependence, with highest occurring boreal autumn, phase dependence...
Multi-model ensemble prediction is an effective approach for improving the skill short-term climate and evaluating related uncertainties. Based on a combination of localized operation outputs Chinese models imported forecast data some international operational models, National Climate Center China Meteorological Administration has established multi-model system version 1.0 (CMMEv1.0) monthly-seasonal primary variability modes elements. We verified real-time forecasts CMMEv1.0 2018 flood...
The changes in near-surface wind speed (NWS) have a crucial influence on the power industry, and previous studies indicated that NWS global China has declined continuously for decades under warming. However, recently, decreasing trend of slowed down even showed recovery trend. Using observation data 831 weather stations Meteorological Administration Japanese 55-year reanalysis from 1970 to 2019, eastern were analyzed possible influencing factors discussed. Results show winter presented −0.29...
Abstract. Based on long-term observational and reanalysis datasets from 1901 through 2014, this study investigates the characteristics physical causes of interdecadal variations in summer precipitation over East Asian monsoon boundary zone (EAMBZ), which is a peculiar domain defined perspective interplay between climatic systems (i.e., mid-latitude westerly monsoon). Observational evidence reveals that, similarly to previous studies, EAMBZ featured prominent fluctuations, e.g., with dry...
ABSTRACT We investigate the variations of total and extreme precipitations over China United States, focusing on long‐term changes. also explain features precipitation by changes in sea surface temperature ( SST ) atmospheric circulation. Features ratio to are different between differences occur both annual seasonal means. Both show large regional China, but change modestly States Annually, insignificantly shows only a slight positive trend. However, US increases significantly, although...
The subseasonal variability and predictability of the Arctic Oscillation/North Atlantic Oscillation (AO/NAO) is evaluated using a full set hindcasts generated from Beijing Climate Center Atmospheric General Circulation Model version 2.2 (BCC_AGCM2.2). It shown that monthly mean AO/NAO index varies seasonally, with highest during winter (December–March) lowest autumn (August–November), respect to both observations BCC_AGCM2.2 results. As compared persistence prediction skill observations,...
Abstract Predictability of East Asian cold surges is studied using daily data from the hindcasts 45-day integrations by NCEP Climate Forecast System version 2 (CFSv2). Prediction skills CFSv2 in forecasting surges, their annual variation, and physical links to large-scale atmospheric circulation patterns are examined. Results show that climatological characteristics winter monsoon can be reasonably reproduced CFSv2. The model well capture frequency, intensity, location at a lead time about...
Enediyne compounds have found limited applications in polymer science and material chemistry due to the poor regioselectivity and/or step-growth nature their radical polymerizations. However, cationic cyclization of enediynes exhibits a high regioselective 5-exo-dig mechanism, providing new strategy for synthesis polyfulvene derivatives. The expected polymers were successfully produced by polymerization induced CF3SO3H, well-defined conjugated structure was confirmed NMR, IR, UV–vis...