scholarly journals A high resolution model of linear trend in mass variations from DMT-2: Added value of accounting for coloured noise in GRACE data

2017 ◽  
Vol 103 ◽  
pp. 12-25 ◽  
Author(s):  
Hassan H. Farahani ◽  
Pavel Ditmar ◽  
Pedro Inácio ◽  
Olga Didova ◽  
Brian Gunter ◽  
...  
2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Yandy G. Mayor ◽  
Michel D. S. Mesquita

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.


2013 ◽  
Vol 140 (681) ◽  
pp. 1189-1197 ◽  
Author(s):  
J. A. Waller ◽  
S. L. Dance ◽  
A. S. Lawless ◽  
N. K. Nichols ◽  
J. R. Eyre

2002 ◽  
Vol 5 (3) ◽  
pp. 212-212 ◽  
Author(s):  
U. Tiede ◽  
A. Pommert ◽  
B. Pflesser ◽  
E. Richter ◽  
M. Riemer ◽  
...  

2014 ◽  
Vol 74 ◽  
pp. 36-52 ◽  
Author(s):  
Rachid Benshila ◽  
Fabien Durand ◽  
Sébastien Masson ◽  
Romain Bourdallé-Badie ◽  
Clement de Boyer Montégut ◽  
...  

2021 ◽  
Author(s):  
J. Chang ◽  
M. Vu ◽  
I. Berranger ◽  
C. Osolo ◽  
S. Iyiola ◽  
...  

2014 ◽  
Vol 71 (4) ◽  
pp. 1353-1370 ◽  
Author(s):  
Sabrina Gentile ◽  
Rossella Ferretti ◽  
Frank Silvio Marzano

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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