Liang Chen

Dr. Liang Chen

Key Laboratory of Regional Climate and Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
8 November 2016 in Climatic Change
Verified
Journal Article
Closed access
PDF file
Liang ChenLiang Chen
Liang Chen
ZMZhuguo Ma
Zhuguo Ma
TZTianbao Zhao
Tianbao Zhao

6 June 2020 in Hydrology
Verified
Journal Article
Open access
PDF file
Timur BerdimbetovTimur Berdimbetov
Timur Berdimbetov
ZMZhu-Guo Ma
Zhu-Guo Ma
Liang ChenLiang Chen
Liang Chen
SISana Ilyas
Sana Ilyas
The Aral Sea in Central Asia plays an essential role in the socio-economic development of the region. During the last six decades, there has been remarkable changes observed in the water level and areal extent of the Aral Sea Basin; however, the causes behind these changes are unclear. This study quantifies the impacts of climatic and anthropogenic drivers on Aral Sea and the contributions made by these drivers to the variations observed in the Aral Sea Basin. The spatial and temporal seasonal variations in groundwater budget have been analyzed using the total water storage (TWS) of the basin from 2002 to 2015. The results from this study revealed significant increases in the the mean air temperature, precipitation, and potential evapotranspiration rate from 1960 to 2015 in the Aral Sea Basin. The TWS time-series shows a statistically significant declining trend of about 2 to 4 cm per year presented by the surface water storage. Based on the average monthly values of TWS, March 2005 presented the highest anomaly ~7.85 cm, while October 2008 showed the lowest anomaly ~8.22 cm between 2002 to 2015. The groundwater level indicates a small increasing trend of approximately 0.05 cm/year during the study period. Furthermore, the negative relationship between water level, climatic, and anthropogenic factors showed that these factors projected critical impact on the water level fluctuations within the Aral Sea Basin.

1 January 2018 in Atmosphere-Ocean
Verified
Journal Article
Closed access
Liang ChenLiang Chen
Liang Chen
ZMZhuguo Ma
Zhuguo Ma
Zhenhua LiZhenhua Li
Zhenhua Li
LWLin Wu
Lin Wu
JFJason Flemke
Jason Flemke
YLYanping Li
Yanping Li
Climate changes over China from the present (1996–2005) to the future (2046–2055) under Representative Concentration Pathways 4.5 (RCP4.5) and Representative Concentration Pathways 8.5 (RCP8.5) scenarios are projected using the Weather Research and Forecasting (WRF) model, version 3.7.1. The WRF model was driven by the Global 6-Hourly Bias-corrected Coupled Model Intercomparison Project, Phase 5 (CMIP5), Community Earth System Model dataset over China with a resolution of 30 km. The results demonstrate that WRF downscaling generally simulates more reliable spatial distributions of surface air temperature and precipitation in China with higher spatial pattern correlations and closer in magnitude to the Community Climate System Model, version 4.0, simulation results, especially near mountain ranges. The WRF projections for temperature and precipitation for the future under the two emission scenarios are compared with the present simulation. Generally stronger warming, both in mean temperature and extreme statistics, is produced by WRF-RCP8.5 than by WRF-RCP4.5. The projections for precipitation changes are more varied with season and region for both scenarios.

12 March 2022 in Physics and Chemistry of the Earth, Parts A/B/C
Verified
Journal Article
Closed access
ZZZiyan Zheng
Ziyan Zheng
LNLike Ning
Like Ning
DDDanqiong Dai
Danqiong Dai
Liang ChenLiang Chen
Liang Chen
YWYongli Wang
Yongli Wang
CZChesheng Zhan
Chesheng Zhan

20 March 2021 in Climate Dynamics
Verified
Journal Article
Closed access
PDF file
DDDanqiong Dai
Danqiong Dai
Liang ChenLiang Chen
Liang Chen
ZMZhuguo Ma
Zhuguo Ma
ZXZhongfeng Xu
Zhongfeng Xu

24 June 2022 in Ecohydrology
Verified
Journal Article
Open access
QHQing He
Qing He
BXBolin Xu
Bolin Xu
BDBastien Dieppois
Bastien Dieppois
OYOmer Yetemen
Omer Yetemen
OSOmer Sen
Omer Sen
KCKwok Pan Chun
Kwok Pan Chun
Emerging drought stress on vegetation over western Eurasia is linked to varying teleconnection patterns. The North Sea–Caspian Pattern (NCP) is a relatively less studied Eurasian teleconnection pattern, which has a role on drought conditions and the consequence of changing conditions on vegetation. Between 1981 and 2015, we found that the Standardized Precipitation Index (SPI) and the Normalized Difference Vegetation Index (NDVI) have different trend patterns over various parts of western Eurasia. Specifically, the vegetation greenness is linked with wetter conditions over Scandinavia, and vegetation cover decreases over a drying central Asia. However, western Russia and Franceare paradoxically becoming greener under drier conditions. Using the Budyko framework, such paradoxical patterns are found in energy‐limited environmental systems, where vegetation growth is primarily promoted by warmer temperatures. While most studies focused on the impacts of the North Atlantic Oscillation (NAO), we test whether the NCP explains better the variability of meteorological drought and vegetation response over western Eurasia. We hypothesised that the positive phases of the NCP are correlated to high pressure anomalies over the North Sea, which can be associated with weakening onshore moisture advection, leading to warmer and dryness conditions. These conditions are driving vegetation greening, as western Eurasia is mainly energy limited. However, we show that as the climate is warming along with the teleconnection impacts, the future ecosystem over western Eurasia will be transferred from energy‐limited to water‐limited systems. This suggests that the observed vegetation greening over past three decades is unlikely to sustain in the future.