Object

Title: Assessment of Wind Forecasts in Yerevan by WeatherResearch and Forecasting Model

Co-author(s) :

Kuleshov Yuriy

Abstract:

Simulation of thermally induced valley winds in Yerevan has been performed using the Advanced Research Weather Research and Forecasting model (WRF-ARW) and verified with in situ observations in sensitivity experiments for JulyAugust, 2014. The Mellor-Yamada-Janjic (MYJ) and the Yonsei University (YSU) planetary boundary-layer (PBL) schemes have been applied for implementation of the sensitivity study. It has been demonstrated that summertime mountain-valley winds developing around 1500 UTC have significant local impact on boundary-layer processes in Yerevan mainly during the evening and night hours strongly affecting near-surface wind conditions. Sensitivity analysis indicates that the PBL scheme variations significantly affect the model’s performance. Overall, the results of this study demonstrate that the non-local YSU scheme performs better in simulating thermally induced valley winds in Yerevan than the turbulent kinetic energy (TKE) closure MYJ scheme.

Identifier:

oai:noad.sci.am:135807

Language:

English

URL:


Additional Information:

agm86@yandex.ru ; yuriy.kuleshov@bom.gov.au

Affiliation:

Department of Development and Validation of Hydrometeorological Models,Service of Hydrometeorology and ActiveInfluence on Atmospheric Phenomena ; Institute for Informatics and Automation Problems ; School of Science, Royal Melbourne Institute of Technology (RMIT) University ; School of Mathematics and Statistics, The Universityof Melbourne ; Bureau of Meteorology, Melbourne

Country:

Armenia

Year:

2017

Time period:

September25-29

Conference title:

11th International Conference on Computer Science and Information Technologies CSIT 2017

Place:

Yerevan

Participation type:

oral

Object collections:

Last modified:

Mar 3, 2021

In our library since:

Jul 17, 2020

Number of object content hits:

6

All available object's versions:

https://noad.sci.am/publication/149334

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