Configuration and validation of a mesoscale atmospheric model for simulating summertime rainfall in Central Alberta

2014 ◽  
Vol 35 (5) ◽  
pp. 660-675 ◽  
Author(s):  
Janel Hanrahan ◽  
Chun-Chao Kuo ◽  
Thian Yew Gan
Keyword(s):  
Atmospheric Model ◽  
Mesoscale Atmospheric Model

scholarly journals The Simulation of the Opposing Fluxes of Latent Heat and CO2 over Various Land-Use Types: Coupling a Gas Exchange Model to a Mesoscale Atmospheric Model

2010 ◽  
Vol 139 (1) ◽  
pp. 121-141 ◽  
Author(s):  
Mark Reyers ◽  
Andreas Krüger ◽  
Christiane Werner ◽  
Joaquim G. Pinto ◽  
Stefan Zacharias ◽  
...  
Keyword(s):  
Land Use ◽  
Gas Exchange ◽  
Latent Heat ◽  
Atmospheric Model ◽  
Exchange Model ◽  
Land Use Types ◽  
Mesoscale Atmospheric Model ◽  
Gas Exchange Model

scholarly journals The Application of an Evolutionary Algorithm to the Optimization of a Mesoscale Meteorological Model

2009 ◽  
Vol 48 (2) ◽  
pp. 317-329 ◽  
Author(s):  
Lance O’Steen ◽  
David Werth
Keyword(s):  
Cost Function ◽  
Evolutionary Algorithm ◽  
Synthetic Data ◽  
Atmospheric Model ◽  
Atmospheric Modeling ◽  
Model Parameters ◽  
Meteorological Model ◽  
Rms Error ◽  
Mesoscale Atmospheric Model ◽  
The Cost

Abstract It is shown that a simple evolutionary algorithm can optimize a set of mesoscale atmospheric model parameters with respect to agreement between the mesoscale simulation and a limited set of synthetic observations. This is illustrated using the Regional Atmospheric Modeling System (RAMS). A set of 23 RAMS parameters is optimized by minimizing a cost function based on the root-mean-square (rms) error between the RAMS simulation and synthetic data (observations derived from a separate RAMS simulation). It is found that the optimization can be done with relatively modest computer resources; therefore, operational implementation is possible. The overall number of simulations needed to obtain a specific reduction of the cost function is found to depend strongly on the procedure used to perturb the “child” parameters relative to their “parents” within the evolutionary algorithm. In addition, the choice of meteorological variables that are included in the rms error and their relative weighting are also found to be important factors in the optimization.

scholarly journals Breeze effects at a large artificial lake: summer case study

2018 ◽  
Author(s):  
Maksim Iakunin ◽  
Rui Salgado ◽  
Miguel Potes
Keyword(s):  
Western Europe ◽  
Atmospheric Model ◽  
Artificial Lake ◽  
Natural Lakes ◽  
Input Surface ◽  
Alqueva Reservoir ◽  
Mesoscale Atmospheric Model ◽  
Surrounding Areas ◽  
The Impact

Abstract. Natural lakes and big artificial reservoirs could affect the weather regime of surrounding areas but usually it is difficult to track all aspects of this impact and evaluate its magnitude. Alqueva reservoir, the largest artificial lakes in Western Europe located on the South-East of Portugal, was filled in 2004. This makes it a large laboratory and allows to study the changes in hydrological and geological structures and how they affect the weather in the region. This paper is focused on a case study of the 3 days period of 22–24 July 2014. In order to quantify the breeze effects induced by Alqueva reservoir two simulations with the mesoscale atmospheric model Meso-NH coupled to FLake freshwater lake scheme has been done. The principal difference of this two simulations is in the presence of the reservoir in the input surface data. Comparing two simulations datasets: with and without reservoir, net results of the lake impact were obtained. Magnitude of the impact on the air temperature, relative humidity, and other atmospheric parameters is shown. Clear effect of a lake breeze (5–7 m/s) can be observed during the daytime on the distances up to 6 km away from the shores and up to 300 m over the lake surface. Breeze system starts to form at 9:00 UTC and dissipates at 18:00–19:00 UTC with the arrival of major Atlantic breeze system. It induces specific air circulation that captures the dry air from the upper atmosphere (2–2.5 km) which follows the downstream and redistributes over the lake. It is also shown that the although the impact can be relatively intensive, its area is limited by several kilometers away from the lake borders.

scholarly journals Evaluation of the Wind Power in the State of Paraíba Using the Mesoscale Atmospheric Model Brazilian Developments on the Regional Atmospheric Modelling System

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Francisco José Lopes de Lima ◽  
Enilson Palmeira Cavalcanti ◽  
Enio Pereira de Souza ◽  
Emerson Mariano da Silva
Keyword(s):  
Wind Speed ◽  
Wind Power ◽  
Atmospheric Model ◽  
Atmospheric Modeling ◽  
The State ◽  
Regional Atmospheric Modeling System ◽  
Wind Regime ◽  
Regional Atmospheric Modelling System ◽  
Mesoscale Atmospheric Model ◽  
Regional Atmospheric Modeling

This work aims to describe the wind power density in five sites in the State of Paraiba, as well as to access the ability of the mesoscale atmospheric model Brazilian developments on the regional atmospheric modeling system (BRAMS) in describing the intensity of wind in São Gonçalo Monteiro, Patos, Campina Grande, and João Pessoa. Observational data are wind speed and direction at 10 m high, provided by the National Institute of Meteorology (INMET). We used the numerical model BRAMS in simulations for two different months. We ran the model for rainy months: March and April. It was concluded that the BRAMS model is able to satisfactorily reproduce the monthly cycle of the wind regime considered, as well as the main direction. However the model tends to underestimate the wind speed.

scholarly journals Simulation of blowing snow over the antarctic ice sheet

1998 ◽  
Vol 26 ◽  
pp. 203-206 ◽  
Author(s):  
Hubert Gallée
Keyword(s):  
Sea Level ◽  
Surface Friction ◽  
Atmospheric Model ◽  
Blowing Snow ◽  
Katabatic Winds ◽  
Order Of Magnitude ◽  
Antarctic Continent ◽  
Global Sea Level ◽  
Mesoscale Atmospheric Model ◽  
The Antarctic

A preliminary simulation of blowing snow over the Antarctic continent made with a mesoscale atmospheric model is presented. Sensitivity experiments show that the increase of surface friction arising in conjunction with blowing snow has a relatively more important impact on the dynamics of strong katabatic winds than previously supposed. Sublimation in blowing snow over the Antarctic continent also contributes to the global sea-level budget. It is found that this contribution is of the same order of magnitude as the estimated present sea-level rise.

scholarly journals Numerical Simulations of Typhoon Hagupit (2008) Using WRF

2019 ◽  
Vol 34 (4) ◽  
pp. 999-1015 ◽  
Author(s):  
Jia Sun ◽  
Hailun He ◽  
Xiaomin Hu ◽  
Dingqi Wang ◽  
Cen Gao ◽  
...  
Keyword(s):  
Microwave Remote Sensing ◽  
Heavy Rain ◽  
Atmospheric Model ◽  
Heat Fluxes ◽  
Microphysics Scheme ◽  
Sensitivity Tests ◽  
Momentum Fluxes ◽  
Vertical Wind Speed ◽  
Mesoscale Atmospheric Model

Abstract We used a mesoscale atmospheric model to simulate Typhoon Hagupit (2008) in the South China Sea (SCS). First, we chose optimized parameterization schemes based on a series of sensitivity tests. The results suggested that a combination of the Kain–Fritsch cumulus scheme and the Goddard microphysics scheme was the best choice for reproducing both the track and intensity of Typhoon Hagupit. Next, the simulated rainfall was compared with microwave remote sensing products. This comparison validated the model results for both the magnitude of rainfall and the location of heavy rain relative to the typhoon’s center. Furthermore, the potential vorticity and vertical wind speed displayed the asymmetric horizontal and tilted vertical structures of Typhoon Hagupit. Finally, we compared the simulation of air–sea turbulent fluxes with estimations from an in situ buoy. The time series of momentum fluxes were roughly consistent, while the model still overestimated heat fluxes, especially right before the typhoon’s arrival at the buoy.

Sign in / Sign up

Export Citation Format

Share Document