The role of atmospheric boundary layer-surface interactions on the development of coastal fronts [PDF]
Annales Geophysicae, 2007 Frictional convergence and thermal difference between land and sea surface are the two surface conditions that govern the intensity and evolution of a coastal front.
D. Malda +4 more
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MM5 v3.6.1 and WRF v3.5.1 model comparison of standard and surface energy variables in the development of the planetary boundary layer [PDF]
Geoscientific Model Development, 2014 Air quality forecasting requires atmospheric weather models to generate accurate meteorological conditions, one of which is the development of the planetary boundary layer (PBL).
C.-S. M. Wilmot +3 more
doaj +1 more source
Evaluating the performance of two surface layer schemes for the momentum and heat exchange processes during severe haze pollution in Jing-Jin-Ji in eastern China [PDF]
Atmospheric Chemistry and Physics, 2018 The turbulent flux parameterization schemes in the surface layer are crucial for air pollution modeling. There have been some deficiencies in the prediction of air pollutants by atmosphere chemical models, which is closely related to the uncertainties of
Y. Peng +12 more
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Regional modeling of atmospheric mercury: impact of meteorological variables
E3S Web of Conferences, 2013 The atmospheric mercury concentration in Europe was simulated with the regional atmospheric chemistry transport model CMAQ-Hg. Two sets of meteorological fields, one from MM5 and one from COSMO-CLM (CCLM) were used to drive the model.
Matthias V. +3 more
doaj +1 more source
Mesoscale modeling of lake effect snow over Lake Erie – sensitivity to convection, microphysics and the water temperature [PDF]
Advances in Science and Research, 2010 Lake effect snow is a shallow convection phenomenon during cold air advection over a relatively warm lake. A severe case of lake effect snow over Lake Erie on 24 December 2001 was studied with the MM5 and WRF mesoscale models.
N. E. Theeuwes +3 more
doaj +1 more source
GFDL-Type Typhoon Initialization in MM5
Monthly Weather Review, 2002 Abstract The Geophysical Fluid Dynamics Laboratory (GFDL) hurricane initialization algorithm is implemented in the community fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5). This work is applied to the MM5-based Regional Data Assimilation and Prediction System model (RDAPS), the Korea ...
H. Joe Kwon +4 more
openaire +1 more source
Numerical Simulations with MM5 3DVAR Initialization
Terrestrial, Atmospheric and Oceanic Sciences, 2002 The recently developed MM5 three-dimensional variational (3DVAR) assimilation system at NCAR has been used to investigate influences of ingested sounding and ship observation data on numerical simulations of severe weather in the vicinity of Taiwan.
Ching-Yuang Huang +2 more
openaire +2 more sources
Mitigation of atmospheric Water-Vapour effects on spaceborne interferometric SAR imaging through the MM5 Numerical model [PDF]
, 2010 Synthetic Aperture Radar (InSAR) imaging is a well established technique to derive useful products for several land applications. One of the major limitations of InSAR is due to atmospheric e® ects, and in particular to high water vapor variability.
E. Pichelli +4 more
core +1 more source
Quantitative precipitation forecast in the Caspian Sea/Alburz Mountain region: MM5 verification [PDF]
, 2008 This study presents verification of QPF of a Mesoscale Modelling system (Pennsylvania State University/NCAR Fifth generation MM5) in the region bounded by southern shores of Caspian Sea and northern slopes of the Alburz Mountains in Iran, against the ...
Oskouian, Mohammad +2 more
core +1 more source
Water vapour distribution at urban scale using high-resolution numerical weather model and spaceborne SAR interferometric data [PDF]
Natural Hazards and Earth System Sciences, 2010 The local distribution of water vapour in the urban area of Rome has been studied using both a high resolution mesoscale model (MM5) and Earth Remote Sensing-1 (ERS-1) satellite radar data.
E. Pichelli +6 more
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