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1341
Saddle and Tack Care in Hot and Humid Environments
Published 2014-11-01“…While riders enjoy the weather, it creates some challenges in caring for saddles and other tack. …”
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1342
Guide to Identifying and Controlling Postharvest Tomato Diseases in Florida
Published 2020-10-01“… Pathogens are present in all tomato production areas and are most numerous when the weather becomes warm and wet. Movement of weather fronts or tropical storms through production areas can also affect the susceptibility of tomato fruit to decay. …”
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1343
An Empirical Study on Ad Hoc Performance of DSRC and Wi-Fi Vehicular Communications
Published 2013-11-01“…Also, it identifies important effects of messages size, message frequency, weather condition, and vehicle mobility on vehicular communications. …”
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1344
Guide to Identifying and Controlling Postharvest Tomato Diseases in Florida
Published 2020-10-01“… Pathogens are present in all tomato production areas and are most numerous when the weather becomes warm and wet. Movement of weather fronts or tropical storms through production areas can also affect the susceptibility of tomato fruit to decay. …”
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1345
A Radio-interferometric Imaging Method Based on the Wavelet Tight Frame
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1346
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1347
Constructing Attention-LSTM-VAE Power Load Model Based on Multiple Features
Published 2024-01-01“…With the complexity of modern power system and the susceptibility to external weather influences, it brings challenges to build an accurate load model. …”
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1348
Heritage Building of Residensi Tunku Abdul Rahman: Preserve and Conserve for The Future
Published 2024-01-01“…Humidity, hot and rainy weather, also sunlight in tropical region made some damages to the building. …”
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1349
Air Traffic Flow Prediction with Spatiotemporal Knowledge Distillation Network
Published 2024-01-01“…Subsequently, to model the influence of external factors and predict air traffic flow disturbed by thunderstorm weather, we propose a student network based on the “parallel-fusion” structure. …”
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1350
Influence of Underlying Surface on Distribution of Hourly Heavy Rainfall over the Middle Yangtze River Valley
Published 2022-01-01“…It can be found that the boundary layer circulation corresponding to different underlying surfaces changed under the influence of the weather system. Firstly, the strengthening of the weather system in the early morning resulted in the strengthening of the southwest low-level air flow, which intensified the uplift of the windward slope air flow on the west and south slopes of the mountainous areas in the TLB-YRV. …”
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1351
A Novel Tornado Detection Algorithm Based on XGBoost
Published 2025-01-01“…Tornadoes are severe convective weather exhibiting localized and sudden occurrences. …”
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1352
Identifying Coronal Mass Ejection Active Region Sources: An Automated Approach
Published 2025-01-01“…Identifying the source regions of coronal mass ejections (CMEs) is crucial for understanding their origins and improving space weather forecasting. We present an automated algorithm for matching CMEs detected by the Large Angle Spectrometric Coronagraph with their source active regions, specifically Space Weather HMI Active Region Patches (SHARPs), between 2010 May and 2019 January. …”
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1353
Development and Application of a New Convective Entrainment Rate Parameterization for Improving Precipitation Simulation Over the Tibetan Plateau and Its Surrounding Areas
Published 2025-01-01“…All of these mechanisms ultimately reduce the accumulated convective precipitation amount, providing an optimized modeling tool for weather and climate research over TP, which also aids in better assessing the water cycle and water resource reserves of the “Asian Water Tower.”…”
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1354
Improving wind and power predictions via four-dimensional data assimilation in the WRF model: case study of storms in February 2022 at Belgian offshore wind farms
Published 2025-01-01“…This study investigates the enhancement of weather simulations by assimilating local offshore light detection and ranging (lidar) and/or supervisory control and data acquisition (SCADA) data into a numerical weather prediction model while considering the presence of neighboring wind farms through wind farm parameterization. …”
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1355
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1356
The Impact of Assimilating Atmospheric Infrared Sounder Observation on the Forecast of Typhoon Tracks
Published 2011-01-01“…This work assesses the effects of assimilating atmospheric infrared sounder (AIRS) observations on typhoon prediction using the three-dimensional variational data assimilation (3DVAR) and forecasting system of the weather research and forecasting (WRF) model. Two major parameters in the data assimilation scheme, the spatial decorrelation scale and the magnitude of the covariance matrix of the background error, are varied in forecast experiments for the track of typhoon Sinlaku over the Western Pacific. …”
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1357
Performance Evaluation of FSO Communications under Sand-Dust Conditions
Published 2019-01-01“…Sand-dust weather conditions are considered the primary challenge to free-space optical (FSO) communications. …”
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1358
Impacts of meteorology and emission reductions on haze pollution during the lockdown in the North China Plain
Published 2025-02-01“…These findings emphasize the critical role of meteorology in shaping the air quality response to emission changes, particularly in regions like the NNCP, where unfavorable weather patterns can counteract the benefits of emission reductions. …”
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1359
Wildfire indicators modeling for reserved forest of Vellore district (Tamil Nadu, India)
Published 2025-01-01“…The climate is dry from May to July, and the weather danger index is 345–348. In other seasons, the weather index is 338–341, indicating a low-risk level. …”
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1360
Origin-Destination-Based Travel Time Reliability under Different Rainfall Intensities: An Investigation Using Open-Source Data
Published 2020-01-01“…While previous works are mostly focused on route-based TTR and use either ad hoc data or simulation in the analyses, this study uses open-source Uber Movement and Weather Underground data to systematically analyze the impact of rainfall intensity on O-D-based travel time reliability. …”
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