Results 51 to 60 of about 324,714 (371)

The extreme short‐term rainfall rate as caused by a convective storm under a beneficial dynamic pattern

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
In this study, a nocturnal extreme rainfall event was examined by using cloud‐permitting simulations with the Weather Research and Forecasting model. We proposed a mechanism for extreme short‐term rainfall formation under a beneficial dynamic pattern within a convective storm, and the mechanism is confirmed by a trajectory analysis of raindrops based ...
Jinfang Yin   +4 more
wiley   +1 more source

WRF-Model Data Assimilation Studies of Landfalling Atmospheric Rivers and Orographic Precipitation Over Northern California [PDF]

open access: yes, 2014
In this study, data assimilation methods of 3-D variational analysis (3DVAR), observation nudging, and analysis (grid) nudging were evaluated in the Weather Research and Forecasting (WRF) model for a high-impact, multi-episode landfalling atmospheric ...
Eiserloh, Arthur John
core   +1 more source

Analysis of the effect of the coastal discontinuity on near-surface flow [PDF]

open access: yesAnnales 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

Key Points in Air Pollution Meteorology

open access: yesInternational Journal of Environmental Research and Public Health, 2020
Although emissions have a direct impact on air pollution, meteorological processes may influence inmission concentration, with the only way to control air pollution being through the rates emitted.
I. Pérez   +4 more
semanticscholar   +1 more source

Effects of Observation‐Operator Nonlinearity on the Assimilation of Visible and Infrared Radiances in Ensemble Data Assimilation

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Ensemble Kalman filters implicitly linearize the observation operator, which causes the posterior to deviate from its linear approximation. We quantify the linearization error for visible and infrared radiances and conclude that the linear approximation should not be used for nonlinear observation types.
Lukas Kugler, Martin Weissmann
wiley   +1 more source

Microphysical Characteristics of Three Convective Events with Intense Rainfall Observed by Polarimetric Radar and Disdrometer in Eastern China

open access: yesRemote 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

Mesoscale Meteorology and High Ozone in the Northeast United States

open access: yes, 1998
This study examines the relationship between mesoscale meteorological conditions and high-ozone days in the northeastern United States. It is proposed that the leeside trough and the sea-breeze front are two mesoscale features that can be important on ...
R. Gaza
semanticscholar   +1 more source

Modelling the influence of soil moisture on the Turkana jet

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
High‐resolution convection‐permitting experiments demonstrate that the Turkana jet is sensitive to soil moisture variations. When examining realistic dry and wet conditions, dry soils amplify a surface‐induced thermal low, which intensifies the along‐channel pressure gradient and strengthens the Turkana jet.
Joshua Talib   +6 more
wiley   +1 more source

Investigate the impacts of assimilating satellite rainfall estimates on rainstorm forecast over southwest United States [PDF]

open access: yes, 2004
Using the MM5-4DVAR system, a monsoon rainstorm case over southern Arizona (5-6 August 2002) was investigated for the influence of assimilating satellite rainfall estimates on precipitation forecasts.
Gao, X, Sorooshian, S, Xiao, Q, Xu, J
core   +1 more source

A Bayesian Hydrometeor Classification Algorithm for C-Band Polarimetric Radar

open access: yesRemote 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

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