MT Introduction to Weather Community 1 credit First-semester introduction to the meteorology major that helps students transition to the college environment.
We apply ensemble-based coupled meteorology—aerosol data assimilation DA. Abstract In this study, we investigate the possibility of using a coupled meteorology—aerosol data assimilation DA to improve the forecast of a dust storm. The system is strongly coupled, in the sense that cross-covariances between meteorological and aerosol control variables are used in DA.
Experiments are conducted for an Asian dust storm case that occurred over the Korean Peninsula on 13 Mayby assimilating both meteorological and aerosol observations.
In the control experiment CTNLwe assimilated only meteorological observations. Control variables of DA include both meteorological and aerosol ones. Our results indicate that meteorological observations can partially contribute to the change of aerosol initial conditions and vice versa, implying a cross-component impact of observations, and hence improving the utility of observations in coupled DA.
These results are encouraging for future applications of ensemble DA with strongly coupled meteorology—chemistry modeling system.
Previous article in issue.Impact of the OMI aerosol optical depth on analysis increments through coupled meteorology–aerosol data assimilation for an Asian dust storm. The remaining weeks of the semester will be devoted to in-depth analysis of forecast errors and ways to keep improving forecast quality.
Satisfactory performance is determined through attendance records and weather forecast contest results.
METEO Computer Methods of Meteorological Analysis and Forecasting (3) Meteorology . ATS Synoptic Meteorology Course Description: The primary goals of ATS are: The labs are designed to support the lectures by providing more in-depth analysis and examination of actual case studies.
Meeting Times Labs will begin a few minutes after the lecture section and weather discussion. Canadian Meteorological Centre (CMC) Daily Snow Depth Analysis Data, Version 1 This data set consists of a Northern Hemisphere subset of the Canadian Meteorological Centre (CMC) operational global daily snow depth analysis.
An in-depth study of severe weather forecasting and analysis. An emphasis is placed on hand analysis of raw data, assessing short term numerical weather models, and nowcasting. Students monitor events prior to and during severe weather events using real time radar and other data sources.
Meteorology: an In-Depth Analysis All of us have experienced a snow day when school gets shut down or a rainy day when some of our plans have to be cancelled. Even if the weather is nice outside and there is a change of plans to go to the beach instead, everybody has .