Results 1 to 10 of about 324,714 (371)

Sensitivity of mesoscale model urban boundary layer meteorology to the scale of urban representation [PDF]

Atmospheric Chemistry and Physics, 2011
Mesoscale modeling of the urban boundary layer requires careful parameterization of the surface due to its heterogeneous morphology. Model estimated meteorological quantities, including the surface energy budget and canopy layer variables, will respond ...
D. D. Flagg, P. A. Taylor
doaj   +4 more sources

Simulation of surface meteorology at the Pathfinder and VL1 sites using a Mars mesoscale model [PDF]

, 2002
[1] The Fifth-Generation Penn State/NCAR Mesoscale Model (MM5) has been adapted to study circulations in the Martian atmosphere. The NASA Ames Mars general circulation model (GCM) provides initial and boundary conditions. The meteorology of this Mars MM5
D. Tyler, J. R. Barnes, R. M. Haberle
openalex   +2 more sources

Intercomparison of mesoscale meteorological models for precipitation forecasting [PDF]

Hydrology and Earth System Sciences, 2003
Abstract. In the framework of the RAPHAEL EU project, a series of past heavy precipitation events has been simulated with different meteorological models. Rainfall hindcasts and forecasts have been produced by four models in use at various meteorological services or research centres of Italy, Canada, France and Switzerland.
A. Buzzi, E. Richard, E. Richard, Robert Benoit, P. Binder, S. Cosma, P. Kaufmann   +6 more
openaire   +7 more sources

Comparison of Soil Hydraulic Parameterizations for Mesoscale Meteorological Models

Journal of Applied Meteorology, 2005
AbstractSoil water contents, calculated with seven soil hydraulic parameterizations, that is, soil hydraulic functions together with the corresponding parameter sets, are compared with observational data. The parameterizations include the Campbell/Clapp–Hornberger parameterization that is often used by meteorologists and the van Genuchten/Rawls ...
Braun, F. J., Schädler, G.
openaire   +4 more sources

Mesoscale Verification Using Meteorological Composites

Monthly Weather Review, 2004
Abstract Mesoscale models are often used to explicitly predict discrete, highly structured phenomena. Information regarding the ability of the model to predict events as coherent entities is thus a useful statement of performance. Observational constraints are a significant problem, though, as the shape, size, and intensity of any given event are often
Jason E. Nachamkin
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Mesoscale modeling study of the interactions between aerosols and PBL meteorology during a haze episode in Jing–Jin–Ji (China) and its nearby surrounding region – Part 1: Aerosol distributions and meteorological features

, 2015
. The urbanized region ofJing(Beijing)-Jin(Tianjin)-Ji (alias of Hebei province) and its nearby surrounding region (3JNS) is becoming China's most polluted area by haze, exceeding even the Yangtze and Pearl river deltas.
Hu Wang, Min Xue, X. Y. Zhang, H. L. Liu, Chunhong Zhou, Sai‐Chun Tan, Huizheng Che, B. Chen, T. Li   +8 more
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A Quantitative Study of Satellite Winds for Mesoscale Meteorology

Monthly Weather Review, 1984
Abstract Quantitative characteristics and utility of mesoscale satellite winds are investigated for a low-level high spatial resolution data set obtained from a sequence of 6 min interval synchronous meteorological satellite images of the central region of the United States on 20 May 1977.
David D. Houghton, Dong Kyou Lee
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Dataset of microscale atmospheric flow and pollutant concentration large-eddy simulations for varying mesoscale meteorological forcing in an idealized urban environment. [PDF]

Data Brief
Lumet E, Jaravel T, Rochoux MC.
europepmc   +2 more sources

Quality Assurance Procedures for Mesoscale Meteorological Data

Journal of Atmospheric and Oceanic Technology, 2010
Abstract Mesoscale meteorological data present their own challenges and advantages during the quality assurance (QA) process because of their variability in both space and time. To ensure data quality, it is important to perform quality control at many different stages (e.g., sensor calibrations, automated tests, and manual assessment ...
Cynthia R. Morgan, Renee A. McPherson, Alexandria G. McCombs, Peter K. Hall, Christopher A. Fiebrich   +4 more
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Data assimilation for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 2.0.0-beta): ensemble of 3D ensemble-variational (En-3DEnVar) assimilations [PDF]

Geoscientific Model Development, 2023
An ensemble of 3D ensemble-variational (En-3DEnVar) data assimilations is demonstrated with the Joint Effort for Data assimilation Integration (JEDI) with the Model for Prediction Across Scales – Atmosphere (MPAS-A) (i.e., JEDI-MPAS).
J. J. Guerrette, J. J. Guerrette, Z. Liu, C. Snyder, B.-J. Jung, C. S. Schwartz, J. Ban, S. Vahl, S. Vahl, Y. Wu, Y. Wu, I. H. Baños, Y. G. Yu, Y. G. Yu, S. Ha, Y. Trémolet, T. Auligné, C. Gas, B. Ménétrier, A. Shlyaeva, M. Miesch, M. Miesch, S. Herbener, E. Liu, E. Liu, D. Holdaway, D. Holdaway, B. T. Johnson   +27 more
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