scholarly journals High-resolution model captures global atmospheric deep convection

Eos ◽  
2013 ◽  
Vol 94 (48) ◽  
pp. 468-468
Author(s):  
Colin Schultz
Keyword(s):  
High Resolution ◽  
Deep Convection ◽  
Resolution Model ◽  
High Resolution Model

scholarly journals Numerical Simulations of the 1 May 2012 Deep Convection Event over Cuba: Sensitivity to Cumulus and Microphysical Schemes in a High-Resolution Model

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Yandy G. Mayor ◽  
Michel D. S. Mesquita
Keyword(s):  
High Resolution ◽  
Numerical Simulations ◽  
Deep Convection ◽  
Added Value ◽  
Cumulus Parameterization ◽  
Lateral Boundary Condition ◽  
Verification Method ◽  
Cumulus Scheme ◽  
Resolution Model ◽  
High Resolution Model

This paper evaluates the sensitivity to cumulus and microphysics schemes, as represented in numerical simulations of the Weather Research and Forecasting model, in characterizing a deep convection event over the Cuban island on 1 May 2012. To this end, 30 experiments combining five cumulus and six microphysics schemes, in addition to two experiments in which the cumulus parameterization was turned off, are tested in order to choose the combination that represents the event precipitation more accurately. ERA Interim is used as lateral boundary condition data for the downscaling procedure. Results show that convective schemes are more important than microphysics schemes for determining the precipitation areas within a high-resolution domain simulation. Also, while one cumulus scheme captures the overall spatial convective structure of the event more accurately than others, it fails to capture the precipitation intensity. This apparent discrepancy leads to sensitivity related to the verification method used to rank the scheme combinations. This sensitivity is also observed in a comparison between parameterized and explicit cumulus formation when the Kain-Fritsch scheme was used. A loss of added value is also found when the Grell-Freitas cumulus scheme was activated at 1 km grid spacing.

scholarly journals Representativity error for temperature and humidity using the Met Office high‐resolution model†

2013 ◽  
Vol 140 (681) ◽  
pp. 1189-1197 ◽  
Author(s):  
J. A. Waller ◽  
S. L. Dance ◽  
A. S. Lawless ◽  
N. K. Nichols ◽  
J. R. Eyre
Keyword(s):  
High Resolution ◽  
Temperature And Humidity ◽  
Resolution Model ◽  
High Resolution Model

A high-resolution model of the inner organs based on the visible muman data set

2002 ◽  
Vol 5 (3) ◽  
pp. 212-212 ◽  
Author(s):  
U. Tiede ◽  
A. Pommert ◽  
B. Pflesser ◽  
E. Richter ◽  
M. Riemer ◽  
...  
Keyword(s):  
High Resolution ◽  
Data Set ◽  
Inner Organs ◽  
Resolution Model ◽  
High Resolution Model

scholarly journals The upper Bay of Bengal salinity structure in a high-resolution model

2014 ◽  
Vol 74 ◽  
pp. 36-52 ◽  
Author(s):  
Rachid Benshila ◽  
Fabien Durand ◽  
Sébastien Masson ◽  
Romain Bourdallé-Badie ◽  
Clement de Boyer Montégut ◽  
...  
Keyword(s):  
High Resolution ◽  
Bay Of Bengal ◽  
Resolution Model ◽  
High Resolution Model ◽  
Salinity Structure

4D OBN Processing and Imaging of a Deepwater Field. Part II: FWI High Resolution Model Building

2021 ◽  
Author(s):  
J. Chang ◽  
M. Vu ◽  
I. Berranger ◽  
C. Osolo ◽  
S. Iyiola ◽  
...  
Keyword(s):  
High Resolution ◽  
Model Building ◽  
Resolution Model ◽  
High Resolution Model

scholarly journals Investigating Hector Convective Development and Microphysical Structure Using High-Resolution Model Simulations, Ground-Based Radar Data, and TRMM Satellite Data

2014 ◽  
Vol 71 (4) ◽  
pp. 1353-1370 ◽  
Author(s):  
Sabrina Gentile ◽  
Rossella Ferretti ◽  
Frank Silvio Marzano
Keyword(s):  
High Resolution ◽  
Conceptual Model ◽  
Vertical Structure ◽  
Mesoscale Model ◽  
Tropical Rainfall Measuring Mission ◽  
Sea Breeze ◽  
Radar Data ◽  
Full Life Cycle ◽  
Resolution Model ◽  
High Resolution Model

Abstract One event of a tropical thunderstorm typically observed in northern Australia, known as Hector, is investigated using high-resolution model output from the fifth-generation Pennsylvania State University–National Center for Atmospheric Research (PSU–NCAR) Mesoscale Model (MM5) observations from a ground-based weather radar located in Berrimah (Australia) and data from the Tropical Rainfall Measuring Mission (TRMM) satellite. The analysis is carried out by tracking the full life cycle of Hector from prestorm stage to the decaying stage. In both the prestorm stage, characterized by nonprecipitating cells, and the triggering stage, when the Hector storm is effectively initiated, an analysis is performed with the aid of high-spatial-and-temporal-resolution MM5 output and the Berrimah ground-based radar imagery. During the mature (“old”) stage of Hector, considering the conceptual model for tropical convection suggested by R. Houze, TRMM Microwave Imager satellite-based data were added to ground-based radar data to analyze the storm vertical structure (dynamics, thermodynamics, and hydrometeor contents). Model evaluation with respect to observations (radar reflectivity and TRMM data) suggests that MM5 performed fairly well in reproducing the dynamics of Hector, providing support to the assertion that the strength of convection, in terms of vertical velocity, largely contributes to the vertical distribution of hydrometeors. Moreover, the stages of the storm and its vertical structure display good agreement with Houze’s aforementioned conceptual model. Finally, it was found that the most important triggering mechanisms for this Hector event are topography, the sea breeze, and a gust front produced by previous convection.

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