Results 41 to 50 of about 1,502 (278)
Mesoscale Meteorology "Primer": Training for the Operational Forecaster [PDF]
, 2001 Mesoscale meteorological processes and the numerical models designed to analyze and forecast these processes are currently in use by the majority of operational forecasters.
Curry, William T., Nuss, Wendell A.
core
Environmental Research Letters, 2020 The western North Pacific summer climate affects the densely populated East Asian countries, while seasonal forecasting over these regions remains challenging for dynamical models.
Yi-Peng Guo +3 more
doaj +1 more source
Polar‐low track prediction using machine‐learning methods
Quarterly Journal of the Royal Meteorological Society, EarlyView.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
Remote Sensing, 2019 Polarimetric radar and disdrometer observations obtained during the 2014 Observation, Prediction, and Analysis of Severe Convection of China (OPACC) field campaign are used in this study to investigate the microphysical characteristics of three primary ...
Gang Chen +9 more
doaj +1 more source
Near‐resonant excitation of the Adriatic barotropic modes: The seiche events of December 2019
Quarterly Journal of the Royal Meteorological Society, EarlyView.This study examines severe flooding in the northern Adriatic Sea in December 2019, which existing forecasting systems failed to predict. Analysis of wind and sea‐level data, alongside reanalysis datasets and a high‐resolution hydrodynamic model, revealed a wind‐induced resonance mechanism.
Marco Bajo +3 more
wiley +1 more source
Analysis of the effect of the coastal discontinuity on near-surface flow [PDF]
Annales Geophysicae, 1998 Conditional sampling is used herein to examine the effect of fetch, stability, and surface roughness changes on wind speeds in the coastal zone. Using data from an offshore wind farm it is shown that at a distance of 1.2–1.7 km from the coast, up to a
S. C. Pryor +2 more
doaj +1 more source
Hydrological and meteorological experimentation at the mesoscale
Eos, Transactions American Geophysical Union, 1985 For the past few years, several sectors of the U.S. meteorological community have been actively planning and organizing the National STORM Program. STORM is an acronym for Stormscale Operational and Research Meteorology, and its first major project, called STORM‐Central, will focus on the central third of the United States [Interagency Team for STORM ...
W. Brutsaert +7 more
openaire +1 more source
Toward the Standardization of Mesoscale Meteorological Networks
Journal of Atmospheric and Oceanic Technology, 2020 AbstractAlthough they share many common qualities in design and operation, mesonetworks across the United States were established independently and organically over the last several decades. In numerous instances, the unique ways each network matured and developed new protocols has led to important lessons learned. These experiences have been shared in
Fiebrich, Christopher +9 more
openaire +2 more sources
NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part II: Verification
Quarterly Journal of the Royal Meteorological Society, EarlyView.In this work we present the verification of the NowPrecip precipitation nowcasting systems (version 1 and version 2). Using 3.5 years of data over the period 2020–2023, their performance is compared with PySTEPS and the ICON numerical weather prediction ensemble by computing deterministic and probabilistic metrics.
A. Ntoumos +8 more
wiley +1 more source
A Bayesian Hydrometeor Classification Algorithm for C-Band Polarimetric Radar
Remote Sensing, 2019 A hydrometeor classification algorithm is developed by applying Bayes’ theorem to C-band polarimetric weather radar measurements. The Bayesian hydrometeor classification algorithm (BHCA) includes eight hydrometeor types: hail, rain, graupel, dry ...
Ji Yang +5 more
doaj +1 more source