Results 151 to 160 of about 6,191 (299)
Weather by the Numbers: The Genesis of Modern Meteorology
Farmers sometimes relied upon the intuition of wind direction, the natural instincts of animals, imminent storm clouds and heavy rainfall to predict how the weather would influence the prosperity of their forthcoming harvest. The U.S.
Ferng, Jennifer H.
core
The interaction between grass species and climatic season shapes the population dynamics of the cattle tick, Rhipicephalus microplus. This information highlights the potential of forage species to influence off‐host tick dynamics. Additionally, minimum temperature and minimum relative humidity were the most influential microclimatic predictors of ...
Valesca Henrique Lima +8 more
wiley +1 more source
Winter oilseed rape in Europe suffers frequent pathogen losses. This review outlines key integrated pest management (IPM) strategies, rotation, residue and tillage management, optimized sowing, resistance, and targeted fungicides supported by forecasting.
Jon S West +2 more
wiley +1 more source
Polar‐low track prediction using machine‐learning methods
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang +4 more
wiley +1 more source
An Evaluation on How General Aviaton Pilots Learn Basic Meteorology
An Evaluation on How General Aviation Pilots Learn Basic Meteorology Jayde M. King, Jessica Cruit, M.S., Beth Blickensderfer, PhD. Introduction. As General Aviation (GA) accidents continue to occur each year, industry officials as well as researchers ...
King, Jayde M +2 more
core
NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part I: Methods
In this work we present the methods of the areal precipitation nowcasting system NowPrecip version 2. In this version a new methodology is introduced, which, although it shares philosophy and techniques with the original methodology of NowPrecip version 1, can be considered as distinct from that.
I. V. Sideris +7 more
wiley +1 more source
Applied Meteorology Unit (AMU) Quarterly Report - Fourth Quarter FY-10
Three AMU tasks were completed in this Quarter, each resulting in a forecast tool now being used in operations and a final report documenting how the work was done.
Bauman, William +4 more
core
This study develops a method to identify the source areas of precipitation events, as illustrated for the western part of the Netherlands. Radar‐based precipitation data are traced back to their source areas and machine‐learning techniques are used to identify hypothesized causes: urban heat, surface roughness, and air pollution. We find that urban and
Jelmer van der Graaff +1 more
wiley +1 more source
The application of large language models in meteorology graduate research: current status, impact, and prospects. [PDF]
Zhu S, Li H.
europepmc +1 more source
An opportunity index to anticipate when subseasonal predictions are useful
Simultaneously active subseasonal windows of forecast opportunity can be combined into a single opportunity index, which can be used operationally to anticipate enhanced or reduced subseasonal prediction skill. For predictions of temperature anomalies in Switzerland during summer—a region and season with particularly low predictability—skill can nearly
Dominik Büeler +4 more
wiley +1 more source

