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Power Data Access Viewer-Based Meteorological Drought Analysis and Rainfall Variability in the Nile River Basin Adv. Meteorol. (IF 2.9) Pub Date : 2024-3-5 Birara Gebeyhu
Meteorological drought poses a frequent challenge in the Nile River basin, yet its comprehensive evaluation across the basin has been hindered by insufficient recorded rainfall data. Common indices like the standard precipitation index, coefficients of variation, and precipitation concentration index serve as pivotal tools in gauging drought severity. This research aimed to assess the meteorological
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False Alarm Causes and Wind Field Sensitivity Analysis of a Severe Rainfall Event in the Guangdong-Hong Kong-Macao Greater Bay Area Urban Cluster Adv. Meteorol. (IF 2.9) Pub Date : 2024-3-4 Lan Zhang, Jiawen Zheng, Huaiyu Li, Rui Yu, Lei Wei, Yufei Zhang
On May 11, 2022, despite the favorable upper and lower-level circulation patterns of the high-altitude trough, shear line, and southwest jet stream, the urban cluster of the Guangdong-Hong Kong-Macao Greater Bay Area experienced light to moderate rainfall, deviating significantly from the forecasted heavy rain and local heavy rainstorm. This study explores the reasons for false alarms and predictability
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Application of wetPf2 Data for Investigating Characteristics of Temperature and Humidity of Air Masses over Paracel and Spratly Islands Adv. Meteorol. (IF 2.9) Pub Date : 2024-2-28 Khuong Le Pham, Anh Xuan Nguyen, Hiep Van Nguyen, Son Hai Hoang, Vinh Nhu Nguyen, Thang Van Vu
This article uses data from the second-generation Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC-2) satellites (wetPf2) to study the temperature and humidity properties of the air masses over Paracel and Spratly Islands in the Vietnam East Sea (South China Sea). The satellite observational data were validated with the radiosonde data from three stations in Vietnam:
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Information Entropy-Based Hybrid Models Improve the Accuracy of Reference Evapotranspiration Forecast Adv. Meteorol. (IF 2.9) Pub Date : 2024-2-3 Anzhen Qin, Zhilong Fan, Liuzeng Zhang
Accurate forecasting of reference crop evapotranspiration (ET0) is vital for sustainable water resource management. In this study, four popularly used single models were selected to forecast ET0 values, including support vector regression, Bayesian linear regression, ridge regression, and lasso regression models, respectively. They all had advantages of low requirement of data input and good capability
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Frequentist and Bayesian Approaches in Modeling and Prediction of Extreme Rainfall Series: A Case Study from Southern Highlands Region of Tanzania Adv. Meteorol. (IF 2.9) Pub Date : 2024-1-30 Erick A. Kyojo, Silas S. Mirau, Sarah E. Osima, Verdiana G. Masanja
This study focuses on modeling and predicting extreme rainfall based on data from the Southern Highlands region, the critical for rain-fed agriculture in Tanzania. Analyzing 31 years of annual maximum rainfall data spanning from 1990 to 2020, the Generalized Extreme Value (GEV) model proved to be the best for modeling extreme rainfall in all stations. Three estimation methods–L-moments, maximum likelihood
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Diurnal Variation Characteristics of Raindrop Size Distribution Observed by a Parsivel2 Disdrometer in the Ili River Valley Adv. Meteorol. (IF 2.9) Pub Date : 2024-1-16 Yufei Jiang, Lianmei Yang, Jiangang Li, Yong Zeng, Zepeng Tong, Xiaomeng Li, Haoyang Li
The diurnal variation characteristics of raindrop size distribution (RSD) in the Ili River Valley are investigated in this study, using the RSD data from May to September during 2020-2021 collected by a Parsivel2 disdrometer in Zhaosu. Significant diurnal variations (02–07, 08–13, 14–19, and 20-01 local standard time (LST)) of precipitation and RSD in Zhaosu are revealed during the rainy seasons. Precipitation
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Identifying the Moisture Sources in Different Seasons for Abaya-Chamo Basin of Southern Ethiopia Using Lagrangian Particle Dispersion Model Adv. Meteorol. (IF 2.9) Pub Date : 2024-1-9 Israel Gebresilasie Kimo, Bisrat Elias Cholo, Tarun Kumar Lohani
Understanding the sources of precipitation and their impacts is crucial for basin-wide water balance research. Previous research concentrated on the sources of moisture in Ethiopia. The southern part’s moisture sources, however, were not investigated. The primary objective of this study is to trace the source of atmospheric moisture in the Abaya-Chamo sub-basin of southern Ethiopia using numerical
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Air Temperature Modeling Based on Land Surface Factors by the Cubist Method (Case Study of Hamoun International Wetland) Adv. Meteorol. (IF 2.9) Pub Date : 2024-1-8 Farhad Zolfaghari, Hasan Khosravi, Shahram Khalighi Sigaroudi
The drying up of Hamoun International Wetland (HIW) and the loss of vegetation in this area have led to an increase in ambient temperature. This research examines the changes in the surface of HIW and its role in air temperature (Tair) using data on land surface temperature (LST), vegetation, wind speed, and relative humidity. The Cubist regression model (CRM) is used to simulate the effects of land
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Five-Year Analysis of Lightning Activities in Different Climatic Regions of Sichuan Province, China Adv. Meteorol. (IF 2.9) Pub Date : 2023-12-16 Liang Zhang, Zeming Zhou, Qian Li, Xiao Feng, Kangquan Yang
Sichuan is a high-incidence area of thunderstorm activity in China. Based on the data of the total lightning location system from 2018 to 2022, the total lightning, cloud-to-ground (CG) lightning, and intracloud (IC) lightning activity regularity for the Sichuan province (SC) and its three climate subregions: Sichuan Basin (SB), Panxi district (PD), and West Sichuan Plateau (WSP) are analyzed, and
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Perspective on the Era of Global Boiling: A Future beyond Global Warming Adv. Meteorol. (IF 2.9) Pub Date : 2023-12-9 Teerachai Amnuaylojaroen
As the unpredictable nature of the Earth’s climate persists, the scholarly attention dedicated to climate research has undergone a notable transition, shifting its emphasis from the conventional notion of global warming to a greater disconcerting occurrence commonly referred to as “global boiling.” The present article endeavors to elucidate the scientific evidence that posits a discernible alteration
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Climatic Characteristics of Heavy Snowfall and the Water Vapor Transport Characteristics in Typical Snowfall Events in Hunan Province of China Adv. Meteorol. (IF 2.9) Pub Date : 2023-12-7 Yan Hu, Enrong Zhao, Hongwu Liu, Lin Xu, Kexin Tan, Huanqian Liu, Qingxia Wang
Due to the unique topography and geographical location, severe snowfall is the main disastrous weather in winter in the Hunan Province of China. Based on the daily precipitation data in Hunan Province from 1961 to 2021, the regional heavy snowfall processes are classified by using the synoptic diagnostic method. In addition, the water vapor transport characteristics of typical heavy snowfall processes
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The Synergic Effects of Climate Variability on Rainfall Distribution over Hare Catchment of Ethiopia Adv. Meteorol. (IF 2.9) Pub Date : 2023-11-6 Abebe Temesgen Ayalew
Climate analysis at relevant time scales is important for water resources management, agricultural planning, flood risk assessment, ecological modeling, and climate change adaptation. This study analyzes the spatiotemporal variability of climate on rainfall distribution for the Hare catchment of Ethiopia. Numerous hydroclimatic variables and scenarios were developed to assess the pattern of rainfall
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Study on O3 Variations in Nanjing and the Surrounding Source Analysis Adv. Meteorol. (IF 2.9) Pub Date : 2023-10-20 Jiaqi Shi, Jinhu Wang, Yuqing Zhang, Dinyuan Liang, Anhong Xiao
To understand the transport patterns and major sources of ozone (O3) in Nanjing, this study carried out the 48-hour backward trajectories of air masses in Nanjing from March 2021 to March 2022, based on the HYSPLIT backward trajectory model driven by GDAS global reanalysis data. The primary transmission routes and putative source locations of O3 pollution in Nanjing were determined through the integration
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Objective Identification Method of Cold-Front Precipitation in Winter Half Years over East Asia Adv. Meteorol. (IF 2.9) Pub Date : 2023-10-19 Shuya He, Yujing Qin, Chuhan Lu, Mengru Feng
Cold front is an important weather system that produces precipitation in East Asia. Under the background of global warming, extreme precipitation caused by cold fronts presents a significant increasing trend. Hence, it is very important to quantify the cold-front precipitation that may cause great damages. In this study, an objective identification method is proposed for cold-front precipitation, which
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Long-Term Rainfall Variability and Trends for Climate Risk Management in the Summer Monsoon Region of Southeast Asia Adv. Meteorol. (IF 2.9) Pub Date : 2023-10-16 Mahesh Edirisinghe, Niranga Alahacoon, Manjula Ranagalage, Yuji Murayama
This study presents an analysis of long-term rainfall variability and trends in the summer monsoon region of Southeast Asia, encompassing Lao People’s Democratic Republic (Lao PDR), Thailand, Vietnam, Cambodia, and Myanmar, as well as their respective river basins. Utilizing Climate Hazards Group InfraRed Precipitation with Station Data (CHIRPS) having a spatial resolution of 5 km spanning from 1981
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Spatiotemporal Variability and Trends in Rainfall and Temperature in South Ethiopia: Implications for Climate Change Adaptations in Rural Communities Adv. Meteorol. (IF 2.9) Pub Date : 2023-9-25 Daniel Dalle, Yisak Gecho, Sisay Belay Bedeke
Climate change is an environmental challenge for rural communities that rely heavily on rainwater-based agriculture. The main goal of this study is to investigate spatiotemporal variability and trends in rainfall and temperature in southern Ethiopia. Extreme temperature and rainfall indices were computed using the ClimPACT2 software. The detection and quantification of trends in rainfall and temperature
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Spatial and Temporal Analysis of Rainfall Variability and Trends for Improved Climate Risk Management in Kayonza District, Eastern Rwanda Adv. Meteorol. (IF 2.9) Pub Date : 2023-9-19 Joseph Ndakize Sebaziga, Anthony Twahirwa, Jonah Kazora, Frank Rusanganwa, Mathieu Mugunga Mbati, Steven Higiro, Sandrine Guhirwa, Jean Claude Nyandwi, Jean Marry Vienney Niyitegeka
The variability, intensity, and distribution of rainfall have drawn a lot of interest globally and especially in nations where rainfed agriculture is the norm. This article uses rainfall data from the Rwanda Meteorology Agency for the years 1981 to 2021 to delineate and analyze rainfall variability and trends in the Kayonza District. The time series were grouped using the K-means clustering technique
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Assessing the Return Periods and Hydroclimatic Parameters for Rainwater Drainage in the Coastal City of Cotonou in Benin under Climate Variability Adv. Meteorol. (IF 2.9) Pub Date : 2023-9-9 Djigbo Félicien Badou, José Hounkanrin, Jean Hounkpè, Luc Ollivier Sintondji, Agnidé Emmanuel Lawin
Cotonou, the economic capital of Benin, is suffering from the impacts of climate change, particularly evident through recurrent floods. To effectively manage these floods and address this issue, it is crucial to have a deep understanding of return periods and hydroclimatic parameters (such as intensity-duration-frequency (IDF) curves and related coefficients), which are essential for designing stormwater
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Copula-Based Joint Flood Frequency Analysis: The Case of Guder River, Upper Blue Nile Basin, Ethiopia Adv. Meteorol. (IF 2.9) Pub Date : 2023-9-7 Mesfin Mamo Haile, Rakesh Khosa, Asnake Kassahun Abebe, Ayansa Teshome Gelalcha, Abera Misgana Tolera
The univariate analysis of hydrological extremes is a well-established practice in developing countries such as Ethiopia. However, for the design of hydrological and hydraulic systems, it is essential to have a thorough understanding of flood event characteristics, including volumes, peaks, time of occurrence, and duration. This study utilizes copula functions for bivariate modeling of flood peak and
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Modes of Atmospheric Energetics Based on HadGEM3-GC3.1-LL Simulations in the Framework of CMIP6 Adv. Meteorol. (IF 2.9) Pub Date : 2023-9-2 Silas Michaelides
In this study, the focus is on investigating how different climate scenarios, as they have been adopted in Phase 6 of the Coupled Model Intercomparison Project (CMIP6), can lead to different regimes in the energetics components in Lorenz’s energy cycle, hence impacting the “working rate” of the climate system, which is considered as a “heat engine.” The four energy forms on which this investigation
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Assessing Variability and Trends of Rainfall and Temperature for the District of Musanze in Rwanda Adv. Meteorol. (IF 2.9) Pub Date : 2023-8-25 Anthony Twahirwa, Christopher Oludhe, Philip Omondi, Gaspard Rwanyiziri, Joseph Sebaziga Ndakize
Variability in rainfall and temperature results in different impacts on agricultural practices. Assessesment of variability and trend of rainfall and temperature for the district of Musanze in Rwanda was conducted using six meteorological stations for a period of 37 years, ranging from 1981 to 2018, and data were obtained from Rwanda Meteorology Agency. Musanze district is located in highland areas
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Application of K-Nearest Neighbor Classification for Static Webcams Visibility Observation Adv. Meteorol. (IF 2.9) Pub Date : 2023-8-21 David Sládek
Visibility observations and accurate forecasts are essential in meteorology, requiring a dense network of observation stations. This paper investigates image processing techniques for object detection and visibility determination using static cameras. It proposes a comprehensive method that includes image preprocessing, landmark identification, and visibility estimation, mirroring the observation process
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Spatiotemporal Variability of Hot Days in Association with the Large-Scale Atmospheric Drivers over Vietnam Adv. Meteorol. (IF 2.9) Pub Date : 2023-8-17 Chinh Ta Huu, Tan Phan Van, Khiem Mai Van, Thang Vu Van, Lam Hoang Phuc, Worapong Lohpaisankrit, Quoc Bao Pham, Trinh Trong Nguyen, Phong Nguyen Thanh
The severe heatwaves and hot spells in Vietnam were observed more frequently in intensity and duration due to global warming and climate change impacts. The hot days and extreme summer events make the weather harsh and significantly affect human health and the environment. This study presents the spatiotemporal distribution of the number of hot days (NHDs) in Vietnam. The variability of NHD in seven
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Missed Approach, a Safety-Critical Go-Around Procedure in Aviation: Prediction Based on Machine Learning-Ensemble Imbalance Learning Adv. Meteorol. (IF 2.9) Pub Date : 2023-7-19 Afaq Khattak, Pak-Wai Chan, Feng Chen, Haorong Peng, Caroline Mongina Matara
The final approach phase of an aircraft accounts for nearly half of all aviation incidents worldwide due to low-level wind shear, heavy downpours, runway excursions, and unsteady approaches. Adopting the missed approach (MAP) procedures may prevent a risky landing, which is usually executed in those situations, but it is safety-critical and a rare occurrence. This study employed machine learning-ensemble
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Estimation of the Total Amount of Enhanced Rainfall for a Cloud Seeding Experiment: Case Studies of Preventing Forest Fire, Drought, and Dust Adv. Meteorol. (IF 2.9) Pub Date : 2023-7-14 Yonghun Ro, Ki-Ho Chang, Sanghee Chae, Yun-Kyu Lim, Jung Mo Ku, Woonseon Jung
In this study, a method for verifying the effect of cloud seeding in the case of a mixture of natural and artificial rainfall bands was proposed, and its applicability to each experimental case was evaluated. Water resources that could be secured through cloud seeding were also quantified for the experiments on forest fire prevention, drought mitigation, and dust reduction in 2020. Data on numerical
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Modelling the Impacts of the Changing Climate on Streamflow in Didesa Catchment, Abay Basin, Ethiopia Adv. Meteorol. (IF 2.9) Pub Date : 2023-7-12 Amsalu Gudeta Awetu, Tadesse Tujuba Kenea
The Didesa catchment, which is the second largest subbasin of the Abay basin, significantly contributes to the Blue Nile’s outflow. Understanding the dynamics of water availability under the changing climate in such a basin assists in the proper planning of land use and other development activities. This study presents changes in climatic elements such as rainfall, temperature, and evapotranspiration
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Interdecadal Variation of Spring Extreme High-Temperature Events in the Western Tianshan Mountains and Its Relationship with the Tropical SST Adv. Meteorol. (IF 2.9) Pub Date : 2023-6-20 Liyun Ma, Ping Chen, Junqiang Yao, Jinggao Hu, Weiyi Mao
This study performed an observational analysis to examine the interdecadal variation in the frequency of extreme high-temperature events (EHEs) during spring over the western Tianshan mountain, China, which were characterized by relatively fewer (more) EHEs during 1983–1996 (2000–2015). A composite analysis indicated that the interdecadal increase in EHEs is closely related to a deep dynamic anomalous
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Analysis of Climate Variability and Trends for Climate-Resilient Maize Farming System in Major Agroecology Zones of Ethiopia Adv. Meteorol. (IF 2.9) Pub Date : 2023-6-19 Abebe Zeleke, Kindie Tesfaye, Tilahun Tadesse, Teferi Alem, Dereje Ademe, Enyew Adgo
Maize is one of the most important cereal food crops, and it can be grown all year in various agroecological zones. However, its vegetative growth and yield are susceptible to rainfall and temperature variability. As a result, the analysis of rainfall and temperature variability and trend was urgently needed in maize-growing agroecology zones to restructure the production system. The aim of the study
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The Interannual Relationship between the Diabatic Heating over the South Asia and the Snow Depth over the Southern Tibetan Plateau in Late Spring to Early Summer: Roles of the Air Temperature Adv. Meteorol. (IF 2.9) Pub Date : 2023-6-2 Chengyang Zhang, Zhihai Zheng, Yi Ou, Tuantuan Zhang, Zhixiang Xiao, Sheng Lai, Yuexing Cai, Sirong Chen, Weijian Qin, Hui He
The southern Tibetan Plateau (TP) is snow covered during cold season but exhibits faster snow melting in early summer. Using in situ observations and improved satellite-derived data, the present study indicates that the snow depth (SD) over the southern TP exhibits distinction characteristics between late spring (i.e., P1: April 16th–May 15th) and early summer (i.e., P2: May 16th–June 14th). In terms
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Evaluation of Satellite Precipitation Products for Estimation of Floods in Data-Scarce Environment Adv. Meteorol. (IF 2.9) Pub Date : 2023-5-3 Muhammad Masood, Muhammad Naveed, Mudassar Iqbal, Ghulam Nabi, Hafiz Muhammad Kashif, Muhammad Jawad, Ahmad Mujtaba
Utilization of satellite precipitation products (SPPs) for reliable flood modeling has become a necessity due to the scarcity of conventional gauging systems. Three high-resolution SPPs, i.e., Integrated Multi-satellite Retrieval for GPM (IMERG), Global Satellite Mapping of Precipitation (GSMaP), and Climate Hazards Group InfraRed Precipitation with Station (CHIRPS), data were assessed statistically
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Accuracy Evaluation of Standardized Precipitation Index (SPI) Estimation under Conventional Assumption in Yeşilırmak, Kızılırmak, and Konya Closed Basins, Turkey Adv. Meteorol. (IF 2.9) Pub Date : 2023-4-17 Mehmet Ali Hinis, Mehmet Selim Geyikli
The doubt in the calculation algorithm of the standardized precipitation index (SPI), which is widely preferred in the evaluation and monitoring of drought, still remains up-to-date because its calculation process is performed in the form of standardization or normalization with a default probability distribution. Therefore, the success of this index is directly affected by the choice of the probability
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Orographic Effect and the Opposite Trend of Rainfall in Central Vietnam Adv. Meteorol. (IF 2.9) Pub Date : 2023-3-11 Thang Nguyen Van, Mau Nguyen Dang, Van Doan Quang, Tuan Bui Minh, Khiem Mai Van, Kham Duong Van, Thuy Tran Thanh, Duong Trinh Hoang, Tam Tran Thi, Quyen Nguyen Huu, Thai Luong Xuan, Hien Tran Duy
Central Vietnam is characterized by severe flooding associated with heavy rainfall events caused by interactions between multiscale atmospheric circulations and the complex local terrain. Previous studies believed rainfall in central Vietnam is closely related to the cold surge; however, it fails to explain the cause of the early rainfall occurrence in August in the subregion. For the first time, this
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Spatiotemporal Variability of Extreme Rainfall in Southern Benin in the Context of Global Warming Adv. Meteorol. (IF 2.9) Pub Date : 2023-3-8 S. F. Hounvou, K. F. Guedje, H. Kougbeagbede, J. Adechinan, E. Houngninou, A. Houeto
Changes in the frequency and timing of extreme precipitation in southern Benin are assessed in the context of global warming. The peak-over-threshold (POT) is used for this purpose, with the six (06) year return period daily rainfall as the threshold over seventeen (17) weather stations between 1960 and 2018. The results show that the South Benin experienced extreme rainfall on many occasions between
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Study on the Impact of Future Climate Change on Extreme Meteorological and Hydrological Elements in the Upper Reaches of the Minjiang River Adv. Meteorol. (IF 2.9) Pub Date : 2023-2-9 Ting Chen, Yao Ye, Kebi Yang, Xu Zhang, Tianqi Ao
Global warming increases global average precipitation and evaporation, causing extreme climate and hydrological events to occur frequently. Future changes in temperature, precipitation, and runoff from 2021 to 2050 in the upper reaches of the Minjiang River were analyzed using a distributed hydrological model, the SWAT (Soil and Water Assessment Tool), under a future climate scenario. Simultaneously
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Climatology Definition of the Myanmar Southwest Monsoon (MSwM): Change Point Index (CPI) Adv. Meteorol. (IF 2.9) Pub Date : 2023-1-25 Kyaw Than Oo
Myanmar’s climate is heavily influenced by its geographic location and relief. Located between the Indian summer monsoon (ISM) and the East Asian summer monsoon (EASM), Myanmar’s climate is distinguished by the alternation of seasons known as the monsoon. The north-south direction of peaks and valleys creates a pattern of alternate zones of heavy and scanty precipitation during both the northeast and
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Potential Impacts of Future Climate Changes on Crop Productivity of Cereals and Legumes in Tamil Nadu, India: A Mid-Century Time Slice Approach Adv. Meteorol. (IF 2.9) Pub Date : 2023-1-16 Vellingiri Geethalakshmi, Ramasamy Gowtham, Radhakrishnan Gopinath, Shanmugavel Priyanka, Marimuthu Rajavel, Kandasamy Senthilraja, Manickam Dhasarathan, Raj Rengalakshmi, Kulanthaivel Bhuvaneswari
Climate change is a terrible global concern and one of the greatest future threats to societal development as a whole. The accelerating pace of climate change is becoming a major challenge for agricultural production and food security everywhere. The present study uses the midcentury climate derived from the ensemble of 29 general circulation models (GCMs) on a spatial grid to quantify the anticipated
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Long-Term (2007 to 2018) Energy and CO2 Fluxes over an Agriculture Ecosystem in the Southeastern Margin of the Tibetan Plateau Adv. Meteorol. (IF 2.9) Pub Date : 2022-12-23 Anlun Xu, Jian Li, Qun Du, Baoju Dong
Long-term eddy covariance flux observations over complex topography are crucial for improving the understanding of the turbulent exchanges between the land and atmosphere. Based on a 12-year (2007–2018) record dataset measured with the eddy covariance technique over the Dali agriculture ecosystem in the southeastern margin of the Tibetan Plateau, we investigated the diurnal, seasonal, and interannual
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Influence of Underlying Surface on Distribution of Hourly Heavy Rainfall over the Middle Yangtze River Valley Adv. Meteorol. (IF 2.9) Pub Date : 2022-12-21 Yinglian Guo, Jisong Sun, Guirong Xu, Zhiming Zhou, Jizhu Wang
The variation of boundary layer circulation caused by the influence of complex underlying surface is one of the reasons why it is difficult to forecast hourly heavy rainfall (HHR) in the middle Yangtze River Valley (YRV). Based on the statistics of high-resolution observation data, it is found that the low resolution data underestimate the frequency of HHR in the mountain that are between the twain-lake
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Seasonal Variability of Air Pollutants and Their Relationships to Meteorological Parameters in an Urban Environment Adv. Meteorol. (IF 2.9) Pub Date : 2022-12-17 Sherly Shelton, Gayathri Liyanage, Sanduni Jayasekara, Buddhi Pushpawela, Upaka Rathnayake, Akila Jayasundara, Lesty Dias Jayasooriya
Air quality in urban areas is deteriorating over time with the increased pollutant distribution levels mainly caused due to anthropogenic activities. In addition, these pollutant distribution levels may relate to changing meteorological conditions. However, the relationships were not researched in-depth in the context of Sri Lanka, a country with a significant impact on climate change. The main objective
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The Relationship between the Atmospheric Heat Source over Tibetan Plateau and the Westerly-Monsoon Evolution in August and Its Physical Mechanism Adv. Meteorol. (IF 2.9) Pub Date : 2022-12-14 Chunxue Wang, Yueqing Li
In this study, the relationship between the East Asian subtropical westerly jet (EASWJ) and the East Asian summer monsoon (EASM) (westerly monsoon) and the correlation with the atmospheric heat source (AHS) on the Tibetan plateau (TP), especially the possible connection of the sudden enhancement of the correlation in August were analyzed. The results show that there is a significant correlation between
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LiDAR-Based Windshear Detection via Statistical Features Adv. Meteorol. (IF 2.9) Pub Date : 2022-12-13 Jie Zhang, Pak Wai Chan, Michael K. Ng
Windshear is a kind of microscale meteorological phenomenon which can cause danger to the landing and takeoff of aircrafts. Accurate windshear detection plays a crucial role in aviation safety. With the development of machine learning, several learning-based methods are proposed for windshear detection, i.e., windshear and non-windshear classification. To obtain accurate detection results, it is significant
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Hydrological and Meteorological Drought Monitoring and Trend Analysis in Abbay River Basin, Ethiopia Adv. Meteorol. (IF 2.9) Pub Date : 2022-11-28 Kassa Abera Tareke, Admasu Gebeyehu Awoke
The definition of drought is very controversial due to its multi-dimensional impact and slow propagation in onset and end. Predicting the accurate occurrence of drought remains a challenging task for researchers. The study focused on hydrological and meteorological drought monitoring and trend analysis in the Abbay river basin, using the streamflow drought index (SDI), standardized precipitation index
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The Characteristics of Thunderstorms and Their Lightning Activity on the Qinghai-Tibetan Plateau Adv. Meteorol. (IF 2.9) Pub Date : 2022-10-28 Lei Hui, Yunjun Zhou, Zhitao Yan
This paper discusses the temporal and spatial distribution characteristics of cloud-to-ground (CG) lightning activity over the Qinghai-Tibetan Plateau (QTP) from 2009 to 2018 and their dependence on meteorological factors. It is found that (1) the number of CG flashes fluctuates, reaches a maximum in 2014, and then gradually decreases. The main active period of CG lightning is from June to September
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Modifying Covariance Localization to Mitigate Sampling Errors from the Ensemble Data Assimilation Adv. Meteorol. (IF 2.9) Pub Date : 2022-10-26 Mingheng Chang, Hongchao Zuo, Jikai Duan
The ensemble-based Kalman filter requires at least a considerable ensemble (e.g., 10,000 members) to identify relevant error covariance at great distances for multidimensional geophysical systems. However, increasing numerous ensemble sizes will enlarge sampling errors. This study proposes a modified Cholesky decomposition based on the covariance localization (CL) scheme, namely a covariance localization
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Study on the Precursor Signal Capturing of Unfavorable Weather: Months/Years in Advance to Ultra-Early Forecast for Hourly Transient Weather Changes during the Beijing Winter Olympics Adv. Meteorol. (IF 2.9) Pub Date : 2022-10-19 Deying Wang, Jizhi Wang, Yuanqin Yang, Liangke Liu, Wenxing Jia, Junting Zhong, Yaqiang Wang
Today, among the existing numerical weather prediction models, those detailing target classifications have been sufficiently explored; however, there are still many weather forecasting goals and needs, and research from theoretical to practical methods still needs additional study. For example, it is important to know as early as possible (months to years in advance) the forecast during a “specific
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Local-Scale Weather Forecasts over a Complex Terrain in an Early Warning Framework: Performance Analysis for the Val d’Agri (Southern Italy) Case Study Adv. Meteorol. (IF 2.9) Pub Date : 2022-10-19 Giuseppe Giunta, Alessandro Ceppi, Raffaele Salerno
Forecasting applications based on hourly meteorological predictions for weather variables are nowadays used in energy market operations, planning of gas and power supply, and renewable energy, among others. Available meteorological and climatological data, as well as critical thresholds of rainfall, may also have a key role in the hazard classification, related to slope instabilities of pipelines and
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Improving Wind Speed Forecasting for Urban Air Mobility Using Coupled Simulations Adv. Meteorol. (IF 2.9) Pub Date : 2022-10-12 Mounir Chrit, Marwa Majdi
Hazardous weather, turbulence, wind, and thermals pose a ubiquitous challenge to Unmanned Aircraft Systems (UAS) and electric-Vertical Take-Off and Landing (e-VTOL) aircrafts, and the safe integration of UAS into urban area requires accurate high-granularity wind data especially during landing and takeoff phases. Two models, namely, Open-Source Field Operation and Manipulation (OpenFOAM) software package
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Comparison of the Applicability of Two Reanalysis Products in Estimating Tall Tower Wind Based on Multiple Linear Regression and Artificial Neural Network in South China Adv. Meteorol. (IF 2.9) Pub Date : 2022-10-11 Xiangxiang Li, Xiaochen Qin, Jun Yang, Weiming Xu
Climate reanalysis products have been widely used to overcome the absence of high-quality and long-term observational records for wind energy users. In this study, the applicability of two popular reanalysis datasets (ERA5 and MERRA2) in estimating wind characteristics for four tall tower observatories (TTOs) in South China was assessed. For each TTO, linear and nonlinear downscaling techniques, namely
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Variation of Leaf Area Index (LAI) under Changing Climate: Kadolkele Mangrove Forest, Sri Lanka Adv. Meteorol. (IF 2.9) Pub Date : 2022-10-10 Randika K. Makumbura, Upaka Rathnayake
Mangroves are an essential plant community in coastal ecosystems. While the importance of mangrove ecosystems is well acknowledged, climate change is expected to have a considerable negative impact on them, especially in terms of temperature, precipitation, sea level rise (SLR), ocean currents, and increasing storminess. Sri Lanka ranks near the bottom of the list of countries researching this problem
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Characterization of Local Climate and Its Impact on Faba Bean (Vicia faba L.) Yield in Central Ethiopia Adv. Meteorol. (IF 2.9) Pub Date : 2022-10-8 Girma Asefa Bogale, Mengistu Mengesha, Gebre Hadgu
Climate change is a major threat to agricultural production and undermines the efforts to achieve sustainable development goals in poor countries such as Ethiopia that have climate-sensitive economies. The objective of this study was to assess characterization of local climate and its impact on productivity faba bean (Vicia faba L.) varieties (Gora and Tumsa) productivity in Welmera watershed area
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Interannual Variations of Water and Carbon Dioxide Fluxes over a Semiarid Alpine Steppe on the Tibetan Plateau Adv. Meteorol. (IF 2.9) Pub Date : 2022-10-6 Yang Liu, Huizhi Liu, Fengquan Li, Qun Du, Lujun Xu, Yaohui Li
Water and carbon exchanges between grassland and the atmosphere are important processes for water balance and carbon balance. Based on eddy covariance observations over a semiarid alpine steppe ecosystem in Bange on the Tibetan Plateau during the growing season from 2014 to 2017, the variations in evapotranspiration (ET), net ecosystem exchange (NEE), and their components and the associated driving
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The Influence of Data Length on the Performance of Artificial Intelligence Models in Predicting Air Pollution Adv. Meteorol. (IF 2.9) Pub Date : 2022-9-30 Mohamed Khalid AlOmar, Faidhalrahman Khaleel, Abdulwahab Abdulrazaaq AlSaadi, Mohammed Majeed Hameed, Mohammed Abdulhakim AlSaadi, Nadhir Al-Ansari
Air pollution is one of humanity's most critical environmental issues and is considered contentious in several countries worldwide. As a result, accurate prediction is critical in human health management and government decision-making for environmental management. In this study, three artificial intelligence (AI) approaches, namely group method of data handling neural network (GMDHNN), extreme learning
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Spatio-Temporal Rainfall Variability and Concentration over Sri Lanka Adv. Meteorol. (IF 2.9) Pub Date : 2022-9-28 Uttam Pawar, Pasindu Karunathilaka, Upaka Rathnayake
Changes in precipitation patterns significantly affect flood and drought hazard management and water resources at local to regional scales. Therefore, the main motivation behind this paper is to examine the spatial and temporal rainfall variability over Sri Lanka by Standardized Rainfall Anomaly Index (SRAI) and Precipitation Concentration Index (PCI) from 1990 to 2019. The Mann–Kendall (MK) trend
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Blue-Green Space Changes of Baiyangdian Wetland in Xiong’an New Area, China Adv. Meteorol. (IF 2.9) Pub Date : 2022-9-27 Chunlei Zhao, Shuan Qian, Chengzhen Meng, Yufei Chang, Wenzhe Guo, Sha Wang, Yinglong Sun
As a regulator of ecological environment, Baiyangdian Wetland is in a pivotal position in constructing the blue-green space (BGS) of Xiong’an New Area in China. This study aims to reveal the spatiotemporal changes of the BGS in Baiyangdian Wetland from 2016 to 2021. It uses Google Earth Engine (GEE) to calculate NDVI and NDWI based on Sentinel-2 Satellite remote sensing data and extracts the blue-green
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The Space Conceptual Models and Water Vapor Characteristics of Typical Rainstorms during Plum Rain Season Adv. Meteorol. (IF 2.9) Pub Date : 2022-9-26 Ying Tian, Rong Yao, Enrong Zhao, Qian Yao, Xiaolong Pan
Based on conventional observation data from the China Meteorological Administration (CMA) and reanalysis data from the American National Centers for Environmental Prediction and National Center for Atmospheric Research (NCEP/NCAR) between 2012 and 2021, combined with the meteorological analysis, composite synthesis, and water vapor trajectory analysis, the weather circulations of typical rainstorms
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Frost Forecasting considering Geographical Characteristics Adv. Meteorol. (IF 2.9) Pub Date : 2022-9-25 Hyojeoung Kim, Jong-Min Kim, Sahm Kim
Regional accuracy was examined using extreme gradient boosting (XGBoost) to improve frost prediction accuracy, and accuracy differences by region were found. When the points were divided into two groups with weather variables, Group 1 had a coastal climate with a high minimum temperature, humidity, and wind speed and Group 2 exhibited relatively inland climate characteristics. We calculated the accuracy
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Wavelet Analysis of the Interconnection between Atmospheric Aerosol Types and Direct Irradiation over Cameroon Adv. Meteorol. (IF 2.9) Pub Date : 2022-09-05 Yaulande Alotse Douanla, Ossénatou Mamadou, André Dembélé, Djidjoho Renaud Roméo Koukoui, Fifamè Edwige Akpoly, André Lenouo
The comparative analysis of the intra- and interannual dynamics between the Direct Normal Irradiation (DNI) under clear sky conditions and five aerosol types (Dust, Sea Salt, Black Carbon, Organic Carbon, and Sulfate) is the purpose of this study. To achieve this aim, we used fifteen-year DNI and aerosols data downloaded at 3-hour time intervals in nine defined zones throughout Cameroon. The wavelet
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Data-Driven versus Köppen–Geiger Systems of Climate Classification Adv. Meteorol. (IF 2.9) Pub Date : 2022-08-31 Vajira Lasantha, Taikan Oki, Daisuke Tokuda
Climate zone classification promotes our understanding of the climate and provides a framework for analyzing a range of environmental and socioeconomic data and phenomena. The Köppen–Geiger classification system is the most widely used climate classification scheme. In this study, we compared the climate zones objectively defined using data-driven methods with Köppen–Geiger rule-based classification
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Spatiotemporal Climate Variation and Analysis of Dry-Wet Trends for 1960–2019 in Jiangsu Province, Southeastern China Adv. Meteorol. (IF 2.9) Pub Date : 2022-08-27 Mengsheng Qin, Liting Zhang, Shiquan Wan, Yuan Yue, Qiong Wu, Lu Xia
The spatiotemporal characteristics of dry-wet trends were identified and assessed, and the dominant meteorological factors were identified for the climate of Jiangsu province in humid southeastern China for the period 1960–2019. We conducted the research using data for the entire Jiangsu province as well as three major regions in Jiangsu (Huaibei, Jianghuai, and Sunan) with different regional climates
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Trend Analysis of Hydrometeorological Data of Gilgel Gibe Catchment, Ethiopia Adv. Meteorol. (IF 2.9) Pub Date : 2022-08-25 Zeinu Ahmed Rabba
Trend analysis of hydrometeorological data is vital for proper water resources planning and management. This paper examines the trends of the hydrometeorological data in Gilgel Gibe catchment and whether the trends are significant. Daily rainfall, temperature, and streamflow data of the stations in/around (nearby) the catchment (7 stations for rainfall, 4 stations for temperatures, and 6 stations for