Article
Environmental Sciences
L. Hu, T. Wen, Y. Shao, Q. Wang, W. Fang, J. Yang, M. Liu, X. Wang, H. Zhang, J. Bi, Z. Ma
Summary: This study provides empirical evidence on the compound economic losses of tropical cyclones (TCs) for the first time, highlighting the significant impacts of precipitation. The study also suggests that high-latitude and interior regions of China are more vulnerable to TCs and underscores the need for climate policies to address compound hazard risks.
Article
Meteorology & Atmospheric Sciences
Danwei Qian, Yanyan Huang, Huixin Li, Botao Zhou, Zhicong Yin, Huijun Wang
Summary: This study investigated the contribution of Arctic sea ice concentration to the decadal variations of summer precipitation patterns in eastern China. The results suggest significant relationships between sea ice concentration and precipitation patterns, providing valuable reference for predicting summer precipitation in eastern China.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Meteorology & Atmospheric Sciences
Ziyue Guo, Jianping Tang, Jie Tang, Shuguang Wang, Yubin Yang, Wei Luo, Juan Fang
Summary: Based on an object-based tracking algorithm, the precipitation systems in a high-resolution regional climate model were evaluated. The model can reasonably capture the average duration and eccentricity of precipitation systems, but it tends to underestimate/overestimate their propagation speed and has a weakness in simulating precipitation intensity and coverage.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Meteorology & Atmospheric Sciences
Hongli Wang, Cheng Huang, Wei Tao, Yaqin Gao, Siwen Wang, Shengao Jing, Wenjie Wang, Rusha Yan, Qian Wang, Jingyu An, Junjie Tian, Qingyao Hu, Shengrong Lou, Ulrich Poeschl, Yafang Cheng, Hang Su
Summary: This study examines the changes in O-3 during the lockdown period in the Yangtze River Delta region of eastern China, which is highly urbanized. Despite reductions in VOCs and NOx emissions, O-3 concentrations actually increased during this period. The study finds that meteorological factors and emission reduction both contribute to this increase, with meteorological factors having a larger influence.
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2022)
Article
Geosciences, Multidisciplinary
M. Niwano, J. E. Box, A. Wehrle, B. Vandecrux, W. T. Colgan, J. Cappelen
Summary: Research shows that rainfall on the Greenland ice sheet is expected to increase as the climate warms, with the northwest part of the ice sheet experiencing a fourfold increase in annual rainfall over the past 40 years. In September, both the amount and intensity of ice sheet-wide rainfall have also significantly increased.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Engineering, Civil
Qing Cao, Xing Yuan, Qingyun Yan, Feilin Zhu
Summary: The decadal changes of rainfall erosivity (RERS) in different sub-regions of mainland China are investigated. RERS in the Yangtze River basin and the source of three rivers experienced a decadal change around 2003, while RERS in northeastern and northern China showed a prominent increasing trend after 2008. The changes in RERS are closely related to variations in sea surface temperature (SST) and particular atmospheric circulation.
JOURNAL OF HYDROLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Akintomide Afolayan Akinsanola, Victor Ongoma, Gabriel J. Kooperman
Summary: This study evaluated the ability of CMIP6 models to simulate present-day precipitation extremes in Eastern Africa. The results showed that the multi-model ensemble mean generally provides a better representation of observed precipitation and related extremes, with consistent biases across individual models.
ATMOSPHERIC RESEARCH
(2021)
Article
Multidisciplinary Sciences
Ravi Kumar Guntu, Ankit Agarwal
Summary: The study investigates the historical variations of compound dry and hot extremes and compound wet and cold extremes during the Indian summer monsoon period. Results show an increase or decrease in the frequency of compound extremes in specific regions of India in recent years.
SCIENTIFIC REPORTS
(2021)
Article
Food Science & Technology
Caiyun Zhang
Summary: This study analyzed the temporal and spatial variability of harmful algal blooms (HABs) in coastal waters of Fujian. It found that the number and impact area of HABs varied significantly over different decades, with the highest occurrence in the 2000s. The proportion of HABs caused by dinoflagellates decreased, while the proportion caused by diatoms increased. In the 2010s, toxic HAB events caused by Karenia mikimotoi increased in frequency and spatial coverage along the central Fujian coast.
Article
Environmental Sciences
Ali Hassan Shabbir, Jie Ji, John W. Groninger, Ghislain N. Gueye, Jason H. Knouft, Eddie J. B. van Etten, Jiquan Zhang
Summary: Wildfire extent shows seasonal and interannual variations due to climate and landscape-level factors, making prediction challenging. Linear models fail to capture the non-stationary and non-linear associations, reducing prediction accuracy. To address this, we utilize time-series climate and wildfire data from China, using unit root methods to improve wildfire prediction. Results highlight the sensitivity of wildland area burned to vapor pressure deficit (VPD) and maximum temperature changes in short and long-term scenarios. Furthermore, repeated fires limit system variability, leading to non-stationarity responses. We conclude that autoregressive distributed lag (ARDL) models better capture the interactions between climate and wildfire compared to linear models, providing insights into complex ecological relationships and guiding regional planners in addressing climate-driven increases in wildfire incidence and impacts.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Pieter de Jong, Tarssio B. Barreto, Clemente A. S. Tanajura, Karla P. Oliveira-Esquerre, Asher Kiperstok, Ednildo Andrade Torres
Summary: This study estimates the impact of climate change on the hydroelectric potential of various basins across South America, with predictions showing significant declines in streamflow for the Sao Francisco River, Tocantins River, and Parnaiba River in the coming 3 decades. Additionally, there is a possibility that water demand from the Sao Francisco River could exceed available streamflow.
Article
Business
Muhammad Irfan, Asif Razzaq, Arshian Sharif, Xiaodong Yang
Summary: The effective use of inclusive green finance is crucial for driving green innovation, promoting sustainable economic transformation, and addressing climate change. The study found that green finance significantly contributes to green innovation, with policy interventions in pilot zones showing more pronounced effects. Industrial structure, economic growth, and research and development investment are identified as the core transmission channels through which green finance influences green innovation.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Meteorology & Atmospheric Sciences
Yawen Duan, Qing Yang, Zhuguo Ma, Peili Wu, Xiaolong Chen, Jianping Duan
Summary: The spatial distribution of summer rainfall anomalies over eastern China often shows a tripole pattern with rainfall anomalies over the Yangtze River basin varies in opposite phase with North China and South China. It is not clear whether this tripole pattern is an intrinsic atmospheric mode or it is remotely forced. Using two sets of model outputs from 20 models participating in phase 5 of the Coupled Model Intercomparison Project (CMIP5), this paper investigates the driving mechanisms of this leading rainfall mode and its major influencing factors.
JOURNAL OF CLIMATE
(2023)
Article
Meteorology & Atmospheric Sciences
Abdisa Kawo, Bert Van Schaeybroeck, Roeland Van Malderen, Eric Pottiaux
Summary: The study explores the relationship between precipitable water vapor (PWV) and heavy rainfall over Ethiopia. The Regional Climate Models (RCMs) from CORDEX are used for this research. The models show good performance in reproducing the annual cycle of PWV but have biases in very dry and tropical wet climate zones. The future scenarios suggest an increase in PWV, but changes in daily heavy rainfall are lower, potentially due to overall drying in Northwestern Ethiopia.
Article
Oceanography
Qian Yang, Keming Qu, Shu Yang, Yao Sun, Yan Zhang, Mingying Zhou
Summary: The study investigates the environmental factors influencing decadal variations in the buried flux of marine organic carbon (BFCm) in the eastern shelf sea areas of China. Results show that BFCm in different areas is affected by primary productivity, with variations linked to fluctuations in the Pacific Decadal Oscillation (PDO) and the East Asian winter monsoon index (EAWM). The study suggests that human activities and differences in organic carbon preservation need to be closely monitored to ensure accurate estimates of BFCm values in the ECSS.
ACTA OCEANOLOGICA SINICA
(2021)
Article
Meteorology & Atmospheric Sciences
Xindan Zhang, Anning Huang, Yongjiu Dai, Weiping Li, Chunlei Gu, Hua Yuan, Nan Wei, Yanlin Zhang, Bo Qiu, Shuxin Cai
Summary: In this study, a physically realistic and computationally efficient three-dimensional STRE scheme was developed and implemented into a land surface model. The results showed that this scheme can accurately simulate surface solar radiation, soil thermal and moist features, and significantly reduce simulation errors.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Article
Meteorology & Atmospheric Sciences
Chenglong Xiao, Cheng Qian, Anning Huang, Ruixia Guo, Xueyuan Kuang
Summary: The relationship between winter cooling in Eurasia and Arctic amplification during the period 1998-2012 under global warming is controversial. Model simulations have been used to study this relationship, but evaluating the models is challenging due to internal variability. In this study, a dynamical adjustment method was applied to evaluate the performance of 11 models in simulating winter surface air temperature trends over Eurasia. The overall performance was poor, but improved after applying the adjustment method.
Article
Meteorology & Atmospheric Sciences
Dongsheng Su, Lijuan Wen, Anning Huang, Yang Wu, Xiaoqing Gao, Mengxiao Wang, Yixin Zhao, Georgiy Kirillin
Summary: This study investigates the potential climatic impacts of lake clusters on glacier behavior over the Tibetan Plateau (TP) in summer using an air-lake coupled model. The study reveals that the influence of lakes on glaciers varies across different regions. Glaciers in the Himalayas are retreating rapidly due to climate warming, while in the Inner TP, the lakes partially offset the warming effects on glaciers through different mechanisms.
Article
Meteorology & Atmospheric Sciences
Ying Huang, Anning Huang, Jie Tan
Summary: Human activities have significantly impacted the Earth's climate through greenhouse gases, aerosol, and land use/land cover change. Using multi-model climate simulations, this study investigates the impact of forest changes on regional climate in China under different radiative forcing scenarios. The results show that deforestation has a more significant effect on climate under the low radiative forcing scenario, increasing air temperature and altering precipitation patterns. However, under the medium/high radiative forcing scenario, the effects are less pronounced, with a mix of increased and decreased precipitation across different time periods.
ADVANCES IN ATMOSPHERIC SCIENCES
(2023)
Article
Meteorology & Atmospheric Sciences
Yumeng Zhou, Tongwen Wu, Yang Zhou, Jie Zhang, Fang Zhang, Xiaole Su, Weihua Jie, He Zhao, Yanwu Zhang, Jun Wang
Summary: In the late twentieth century, there has been a continuous increase in global mean surface air temperature, especially on land. This is accompanied by an increase in global dust, primarily caused by the dust increase outside of dust core areas. The primary drivers of dust variations are surface wind in dust core areas and surface air temperature in areas outside of the core areas, particularly in arid and semi-arid regions in North and Middle Asia.
Article
Geosciences, Multidisciplinary
Xiaoke Xu, Anning Huang, Danqing Huang, Yan Zhang, Chunlei Gu, Shuxin Cai, Yong Tang, Zhizhan Zhao, Jingwen Zeng
Summary: Revealing synoptic patterns is crucial for understanding the formation of hourly extreme precipitation (EP). The dominant synoptic patterns associated with summer regional EP events over the central-eastern Tibetan Plateau and Sichuan Basin have been identified. These patterns are characterized by the configuration of the South Asia high and the Western North Pacific Subtropical High, with an additional low-level vortex for the Sichuan Basin. The frequency and intensity of these events have shown a significant increasing trend during 2000-2020.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Meteorology & Atmospheric Sciences
Yang Zhou, Haishan Chen, Shanlei Sun
Summary: Using soil moisture data from 43 stations in eastern China, the performance of satellite products from Chinese FengYun 3C (FY3C), European Soil Moisture and Ocean Salinity (SMOS), and US Soil Moisture Active Passive (SMAP) were evaluated and compared. The satellite and field soil moisture products showed diverse spatial distribution, with FY3C having smaller bias than the other products. SMAP performed the best overall, but its subseasonal variations underestimated the effects of soil moisture. Furthermore, there are large uncertainties among different satellite products on subseasonal time scales over eastern China.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Engineering, Civil
Yang Zhou, Yan Zhang, Ruliang Wang, Haishan Chen, Qifan Zhao, Binshuo Liu, Qing Shao, Lu Cao, Shanlei Sun
Summary: Deep learning methods of MLP and Conv neural networks are applied to obtain spatiotemporally seamless soil moisture (SM) over eastern China from May to September of 2015-2020, combining ground-based and remote-sensed data. MLP is trained against satellite products, and then Conv is trained against in-situ SM using MLP SM as inputs. The error-reduced Conv SM can reflect the relationships forced out by major rainfall patterns.
JOURNAL OF HYDROLOGY
(2023)
Article
Geography, Physical
Yanlin Zhang, Xin Li, Xiaoli Chang, Huijun Jin, Anning Huang, Ji Liang, Guodong Cheng, Xin Wang
Summary: Downward solar radiation and air temperature have significant influences on the thermal state of frozen ground and are important for land surface models. This study investigates the sensitivity of simulated ground temperatures to different solar radiation and air temperature products, finding that GLDAS-SR leads to lower temperatures compared to in situ observations, while CMFD-SR and Tang-SR provide more accurate results. Air temperature products also introduce significant errors in simulated ground temperatures.
PERMAFROST AND PERIGLACIAL PROCESSES
(2023)
Article
Multidisciplinary Sciences
Yang Zhou, Qifan Zhao
Summary: Quasi-periodic signals in the earth system can enhance the predictability of sub-seasonal to seasonal (S2S) climate forecasts due to their lead-lag connections. The study highlights the Madden-Julian Oscillation (MJO) as a dominant quasi-periodic signal for S2S variability in the tropics. Furthermore, the study identifies periodic features in the concurrent variation of subtropical and polar jet streams over Asia on a 10-40 day scale. Deep learning, specifically long-short term memory (LSTM) networks, are applied to improve S2S prediction by utilizing quasi-periodic signals predicted by an operational model.
SCIENTIFIC REPORTS
(2023)
Article
Meteorology & Atmospheric Sciences
Jiangxin Luo, Anning Huang, Shihua Lyu, Zhaohui Lin, Chunlei Gu, Zhaoguo Li, Mingshan Deng, Wen Zhao, Wanqing Liu
Summary: In this study, improved vegetation emissivity and gravel hydrothermal schemes were implemented into the CLM5.0 model to address the cold bias in the frozen soil simulation over the Tibetan Plateau (TP). The results showed that adopting both schemes significantly reduced the cold bias and improved the performance of the model in simulating the freeze-thaw processes of the soil.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Meteorology & Atmospheric Sciences
Anqi Liu, Danqing Huang, Anning Huang
Summary: This study investigates the intermodel spread of changes in the Eurasian winter surface air temperature based on CMIP6 and explains it from the perspective of circulation under shared socioeconomic pathway 2-4.5. Results show that the leading intermodel spread of Eurasian SAT change is characterized by a warming pattern associated with changes in circulation patterns. These changes in circulation can be attributed to warm sea surface temperature changes in the western North Pacific and tropical Atlantic Ocean, which could potentially reduce the intermodel uncertainties of winter SAT projection in the future.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Meteorology & Atmospheric Sciences
Shuxin Cai, Anning Huang, Kefeng Zhu, Weidong Guo, Yang Wu, Chunlei Gu
Summary: We have incorporated a 3-dimensional sub-grid terrain solar radiative effect (3D STSRE) parameterization scheme into the Weather Research and Forecasting model (WRF_CPM). The scheme has shown to effectively reduce the overestimation of surface solar radiation and rainfall over the Tibetan Plateau and nearby regions, especially in areas with rugged terrain. Mechanism analyses suggest that the reduced surface heating lowers the intensity of the thermal-low pressure system, weakening the southwesterly winds and moisture convergence, and stabilizing the local atmosphere, which together alleviate the overestimation of precipitation over the southern Tibetan Plateau.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Geosciences, Multidisciplinary
Jingwen Zeng, Anning Huang, Peili Wu, Danqing Huang, Yan Zhang, Jian Tang, Dajun Zhao, Ben Yang, Shuang Chen
Summary: Based on the analysis of data from 1980 to 2020, this study identifies typical synoptic patterns responsible for extreme hourly precipitation events over the middle and lower Yangtze River basin during summer. The Meiyu front and landfalling typhoons are found to be the main contributors. The occurrence of extreme precipitation events shows a distinct diurnal pattern, with a peak in the morning for the strong Meiyu front pattern and a secondary peak in the late afternoon for the weak Meiyu front pattern.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Meteorology & Atmospheric Sciences
Yaoming Song, Haishan Chen, Lin Wang, Anning Huang, Wei Gu, Yutong Ma
Summary: This study explores the lead-lag correlations between monthly near-surface air temperatures and reveals the influential factors and processes. The results show high lead-lag correlations of near-surface air temperatures in the middle and lower reaches of the Yangtze River basin, mainly due to the lead-lag relationships between soil temperatures. Net solar radiation is the main factor affecting the relationships between antecedent and current soil temperatures.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
