Analysis of Spatiotemporal Evolution Characteristics of Dry and Wet Events in Sichuan Province from 1960 to 2019 by HUANG Yi, LI Yunyun, FAN Jingjing, ZHENG Junwei, ZHANG Qing

“…Sichuan Province has a large population and experiences substantial regional climate heterogeneity,resulting in differential sensitivity of dryness and wetness to meteorological changes.Examining the spatiotemporal evolution characteristics of dryness and wetness can provide a basis for local departments to take countermeasures against climate change.The dry and wet events in Sichuan from 1960 to 2019 and their intergenerational and seasonal characteristics are identified and described based on run theory.The trend,significance,and periodicity of dry and wet events are described by the Mann-Kendall test and wavelet analysis.The results show that Sichuan Province experienced the highest frequency of dry and wet events in the 1990s and the lowest frequency of the events in the 2000s.Western Sichuan is the driest,while eastern Sichuan is the wettest,with both reaching peak dry and wet event counts in the 1980s.In Sichuan,drought events occur mainly in spring and winter,while humid events occur mainly in summer and autumn.Drought events occur mainly in western Sichuan in spring,and humid events occur mainly in western and northern Sichuan in autumn.The western and northern Sichuan areas tend to be humid,while the southern and eastern Sichuan areas tend to be dry.Except for southern Sichuan,the standardized precipitation evapotranspiration index (SPEI) sequence in summer shows a downward trend in other areas,while the downward trend of the SPEI sequence in winter slows down in western and eastern Sichuan areas.…”
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Population Dynamics of the Exotic Flatworm Obama nungara in an Invaded Garden by Shanèze Noël, Yoan Fourcade, Virginie Roy, Georges Bonnet, Lise Dupont

“…Daily monitoring data revealed high population size fluctuations that may be explained by meteorological factors as well as intra‐ and inter‐specific interactions. …”
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Medium-scale traveling ionospheric disturbances created by primary gravity waves generated by a winter storm by Kogure Masaru, Chou Min-Yang, Yue Jia, Otsuka Yuichi, Liu Huixin, Sassi Fabrizio, Pedatella Nicholas, Randall Cora E., Harvey V. Lynn

“…This study explores the meteorological source and vertical propagation of gravity waves (GWs) that drive daytime traveling ionospheric disturbances (TIDs), using the specified dynamics version of the SD-WACCM-X (Whole Atmosphere Community Climate Model with thermosphere-ionosphere eXtension) and the SAMI3 (Sami3 is Also a Model of the Ionosphere) simulations driven by SD-WACCM-X neutral wind and composition. …”
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Development of a PM2.5 Forecasting System Integrating Low-cost Sensors for Ho Chi Minh City, Vietnam by Nguyen Ky Phung, Nguyen Quang Long, Nguyen Van Tin, Dang Thi Thanh Le

“…To increase the accuracy of WRF and the meteorological forecasting, the global DEM and land use data were replaced by Lidar data, and land use data were also retrieved from MODIS. …”
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Altitude Extension of the NCAR‐TIEGCM (TIEGCM‐X) and Evaluation by Yihui Cai, Xinan Yue, Wenbin Wang, Shun‐Rong Zhang, Huixin Liu, Dong Lin, Haonan Wu, Jia Yue, Sean L. Bruinsma, Feng Ding, Zhipeng Ren, Libo Liu

“…However, the ionospheric storm effects in TIEGCM‐X are stronger than those in NCAR‐TIEGCM and are even opposites at some middle and low latitudes due to the presence of more closed magnetic field lines. Defense Meteorological Satellite Program observations prove that the ionospheric storm effect of TIEGCM‐X is more reasonable. …”
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Tropical Sea Surface Temperature Variability and Its Impact on Oilseed Crop Yields in China by Yi Zhou, Tianyi Zhang, Xichen Li

“…Finally, this study examined the specific ways in which changes in SST modes can affect oilseed crop yields using changes in local meteorological variables. Our findings revealed the relationship between tropical SST variability and oilseed crop yields, providing a detailed understanding of the diverse connections between SST modes and oilseed crop yield. …”
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Research and Application of a Smart Monitoring System to Monitor the Deformation of a Dam and a Slope by Yongfei Wang, Dingbin Shen, Jiankang Chen, Liang Pei, Yanling Li, Xiang Lu, Lei Zhang

“…In this paper, a multitype instrument-integrated monitoring system based mainly on the total positioning station (TPS) and supplemented by the Global Navigation Satellite System (GNSS) was promoted with the methods of large field angle, data complementation, environmental perception and judgment, automatic status control, and baseline calibration-meteorological fusion correction. The application results of Pubugou Station show that the averages of mean square error of points (APMSE) for the dam are 0.41∼1.65 mm and the averages of mean square error of height (AHMSE) are 0.42∼0.89 mm. …”
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Quantification of onion (Allium cepa L.) evapotranspiration and crop coefficient via weighable lysimeter under semi-arid climate of Melkasa, Ethiopia by Nigusie Kebede, Mekonen Ayana, Boja Mekonnen

“…The CROPWAT model and meteorological data from a station located nearby were used to estimate reference evapotranspiration. …”
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Response Characteristics of Steppe Inland River Basins under Climate Change and Its Impact on Runoff from 1982—2020 by CHEN Hongguang, MENG Fanhao, SA Chula, LUO Min, WANG Mulan

“…Based on hydro-meteorological data and normalized difference vegetation index (NDVI) from 1982 to 2020,this paper studies the Wulagai River basin in Inner Mongolia and analyzes the vegetation response characteristics of the basin under climate change and its impact on runoff by adopting a hydrological model of soil and water assessment tool (SWAT) and statistical analysis method.The results show that the SWAT model has good applicability in the basin.The Nash-Sutcliffe efficiency coefficient (NSE) and coefficient of determination (R²) are larger than 0.62 in both regular and validation periods,and the relative error (PBLAS) is less than 18.8%.In the last 40 years,precipitation in the basin decreased slowly at a rate of 8.9 mm/10a,while temperature and actual evapotranspiration increased at a rate of 0.43°C/10a and 2.8 mm/10a,respectively,which indicates that the basin is becoming warm and dry.As the basin climate gets warm and dry,the vegetation recovers and grows vigorously.As a result,climate change and vegetation recovery lead to a reduced runoff depth of the basin.The study results can provide a reference for ecological conservation and sustainable utilization of water resources of inland river basins in arid and semi-arid regions.…”
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Unfolding cascading impacts of changing South Asia monsoon on a Hindu Kush Himalayas basin by Surendra Maharjan, Wenzhao Li, Shahryar Fazli, Arshad Ansari, Suraj Tiwari, Roma Thakurathi, Rejoice Thomas, Hesham El-Askary

“…These insights underscore the urgent need for tailored water resource management, resilient infrastructure, and forward-looking policies to mitigate the impending hydro-meteorological challenges of climate change.…”
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Spatiotemporal Variations of Heavy Rainfall and Its Response Relationship with Wind Speed over the Pearl River Basin by QIAN Shuni

“…This study analyzes the spatiotemporal variations of heavy rainfall and explores its response relationship with wind speed before and after heavy rainfall.The research is of great significance for improving the understanding of heavy rainfall and its relationship with wind speed,as well as the prevention and mitigation of heavy rainfall-induced disasters such as flooding.The study takes the Pearl River Basin as the study area.Specifically,the spatiotemporal variations of daily heavy rainfall with wind speed are analyzed by methods such as Mann-Kendall given the daily rainfall and wind speed data from 183 meteorological stations from 1961 to 2018 in this area. …”
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Forecasting temperature and precipitation values over the coming decades using the canESM2 model In the Ahrchai watershed. by jaefar derakhshi, behroz sobhani, saeed jahanbakhsh

“…Climatic data including daily values of total precipitation and mean temperature were obtained from the Iranian Meteorological Organization. Considering the climate change scenarios RCP4.5, RCP2.6 and RCP8.5 for the coming period 2010-2100 were evaluated under the canESM2 climate change model of Aharchai Basin. …”
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Mitigation strategies can alleviate power system vulnerability to climate change and extreme weather: a case study on the Italian grid by Alice Di Bella, Francesco Pietro Colelli

“…We outline different meteorological scenarios to explore the impacts of both average climatic changes and the intensification of extreme weather events. …”
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Spatio-temporal modelling of extreme low birth rates in U.S. counties by Kai Wang, Yingqing Zhang, Long Bai, Ying Chen, Chengxiu Ling

“…The innovative Bayesian generalized Pareto (GP) quantile regression model is employed for analysing the spatiotemporal pattern of stressful low birth rate and its association with socioeconomic, demographic, and meteorological factors. The optimal stochastic partial differential equation and autoregressive model of order one (SPDE-AR(1)) spatiotemporal structured model is selected based on common Bayesian criteria and scaled threshold weighted continuous ranked probability score, indicating apparent spatial unbalance and deteriorating tendency of falling birth rate. …”
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Hygroscopic Growth Factors of Sub-micrometer Atmospheric Aerosols at Four Selected Sites in Thailand by Jindarat Pariyothon, Surat Bualert, Parkpoom Choomanee, Thitima Rungratanaubon, Thunyapat Thongyen, Narita Fakkaew, Chayaporn Phuetfoo, Jitlada Phupijit, Wladyslaw W. Szymanski

“…Therefore, the temporal variation in Gf of size-selected atmospheric particles from the Aitken mode (Dp ≤ 100 nm) and accumulation mode (Dp > 100 nm) was measured using a humidified tandem differential mobility analyser (H-TDMA) and the relationship between particle size and Gf for various locations and meteorological conditions was determined. The origin of ambient particles primarily defines their properties and governs their participation in atmospheric processes. …”
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Application of Artificial Intelligence Models for Evapotranspiration Prediction along the Southern Coast of Turkey by Mohammed Majeed Hameed, Mohamed Khalid AlOmar, Siti Fatin Mohd Razali, Mohammed Abd Kareem Khalaf, Wajdi Jaber Baniya, Ahmad Sharafati, Mohammed Abdulhakim AlSaadi

“…Furthermore, it is possible to develop a local predictive model with the help of computer to estimate the ETo using the simplest and cheapest meteorological and geographical variables with acceptable accuracy.…”
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Spatial Analysis of thunder storm in Iran by ghasem azizi, leyla sharifi

“…Apart from this fact, firstly, the monthly data of thunderstorms occurrence in 118 synoptic stations of Iran, from 1991 to 2010 on a basis from the country's meteorological organization were obtained and GIS software was produced by the annual and seasonal maps of Iran. …”
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Determination of the best time series model for forecasting annual rainfall of selected stations of Western Azerbaijan province by Somayeh Soltani gerdfaramarzi, Aref Saberi, Morteza Gheisouri

“…Limitations such as lack of sufficient information about the amount of rainfall in time and space scale and complexity of the relationship between meteorological elements related to rainfall, causes the calculation of these parameters using the conventional method not to be implemented. …”
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Environmental crises and climate change: Eco-anxiety among young people and the urgent need for a transformative response by Annamaria Lammel

“…It impacts mental health directly via extreme meteorological events, indirectly via consequences such as famine, and vicariously via the media. …”
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The Mediterranean Sea and the Impact of Its Geographical Space and Cosmology upon Shakespeare’s Characters in Pericles by Neslihan Ekmekçioğlu

“…The remarks regarding the wondrous meteorological phenomenon of the tempest point to the symptoms of an earthquake which caused the billow, the swelling of the sea which delivered the chest of Thaisa’s supposedly dead body to the seacoast. …”
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