Results 81 to 90 of about 6,351 (221)
THE MM5 NUMERICAL MODEL TO CORRECT PSINSAR ATMOSPHERIC PHASE SCREEN [PDF]
, 2020 In this work we make an experimental analysis to research the capability of Numerical Weather Prediction (NWP) models as MM5 to produce high resolution (1km-500m) maps of Integrated Water Vapour (IWV) in the atmosphere to mitigate the well-known ...
E Pichelli +4 more
core
A study of dispersion in complex terrain under winter conditions using high-resolution mesoscale and Lagrangian particle models [PDF]
Atmospheric Chemistry and Physics, 2006 A mesoscale model (MM5), a dispersive Langrangian particle model (FLEXPART), and intensive meteorological and COrrelation SPECtrometer (COSPEC) measurements from a field campaign are used to examine the advection and turbulent diffusion patterns ...
J. L. Palau +4 more
doaj
Development and Tests of a New Distributed-Memory MM5 Adjoint
Journal of Atmospheric and Oceanic Technology, 2006 Abstract Updated versions of the Tangent Linear Model (TLM) and adjoint of the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5) have been developed and are now available to the meteorological community.
Frank H. Ruggiero +4 more
openaire +1 more source
Omnibus goodness‐of‐fit tests for univariate continuous distributions based on trigonometric moments
Statistica Neerlandica, Volume 80, Issue 2, May 2026.ABSTRACT We propose a new omnibus goodness‐of‐fit test based on trigonometric moments of probability‐integral‐transformed data. The test builds on the framework of the LK test introduced by Langholz and Kronmal [J. Amer. Statist. Assoc. 86 (1991), 1077–1084], but fully exploits the covariance structure of the associated trigonometric statistics.
Alain Desgagné, Frédéric Ouimet
wiley +1 more source
Journal of Geophysical Research: Atmospheres, Volume 131, Issue 8, 28 April 2026.Abstract This study investigates the variable‐ and scale‐dependent intrinsic predictability of wave‐convection coupled bands over southern China on 30 January 2018, using 1‐km simulations under varying initial moisture conditions. The predictability time is quantified via the Loss Predictability Index (LPI), defined as the ratio of the forecast error ...
Manshi Weng +4 more
wiley +1 more source
Evaluation of Humidity, Clouds and Precipitation in COSMO-CLM and MM5 over Germany
Meteorologische Zeitschrift, 2012 The knowledge of uncertainties resulting from simulations of the hydrological cycle in meteorological models is crucial for the interpretation of model results. In order to gain confidence in statements about future changes, it is necessary to assess the
Anja Hermans +5 more
doaj +1 more source
Evaluation of radiative transfer schemes for mesoscale model data assimilation: a case study [PDF]
Advances in Geosciences, 2006 The assimilation of Special Sensor Microwave Imager (SSM/I) data into the Mesoscale Model 5 (MM5) allows for improving the weather forecast. However the results suggested an update the Radiative Transfer Equation (RTE) within the three-dimensional ...
A. Memmo +6 more
doaj
Evaluation of Interregional Transport Using the MM5–SCIPUFF System
Journal of Applied Meteorology, 2004 Abstract Improved understanding of transport issues and source–receptor relationships on the interregional scale is dependent on reducing the uncertainties in the ability to define complex three-dimensional wind fields evolving in time.
David R. Stauffer +3 more
openaire +1 more source
Application des systèmes MM5-CHIMERE et MM5-FLEXPART à la modélisation de l'ozone et des PM10 sur la région Nord-Pas-de-Calais [PDF]
, 2009 La pollution de l'air est un sujet de préoccupation majeur au XXIème siècle affectant la santé ainsi et notre environnement Deux types de pollution attirent plus particulièrement l'attention des physicochimistes à l'heure actuelle.
NOLLET, Valérie, TERRENOIRE, Étienne
core
Short-term performance of MM5 with cloud-cover assimilation from satellite observations [PDF]
, 2003 This study investigates the extent to which assimilating high-resolution remotely sensed cloud cover into the fifth-generation Pennsylvania State University-National Center for Atmospheric Research (PSU-NCAR) Mesoscale Model (MM5) provides an improved ...
Shuttleworth, W. James +3 more
core +1 more source