Data assimilation (DA) involves combining information from observations and “models” of a particular physical system in order to best define and understand the evolving state of the system. It is currently applied across a wide range of Earth sciences, including weather forecasting, oceanography, atmospheric chemistry, hydrology, and climate studies. This course provides an introduction to the theory and applications of DA in atmospheric and related sciences. Topics include common DA methods like optimal interpolation, Kalman filtering and variational schemes within the context of estimation theory. The course is designed as a hands-on approach to key DA concepts that are currently used today.
ATMO 451B/551B (Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2020) Introduction to Physical Meteorology II
This is the 2nd course of a two-semester series introducing physical meteorology. This series covers the study of the relevant physical and chemical processes operating in the atmosphere and their interactions with the other components of the Earth system (see ATMO 451a/551a for the 1st course of this series taught by Dr. Dominguez for Fall11 & Fall13 / Dr. Betterton Fall12, Fall15, & Fall16). For this particular course, topics in atmospheric radiation, composition, and chemistry including aerosols will be introduced. It is designed to provide a foundation in atmospheric physics and chemistry suitable for advanced study in atmospheric sciences and professional employment.
An introduction to the chemistry and physics of the troposphere and stratosphere. Topics include natural biogeochemical cycles; atmospheric photochemistry; stratospheric ozone; urban ozone and particulate matter; atmospheric visibility; acid deposition; air pollution meteorology; Gaussian plume model; photochemical model; air quality regulations.
This is an online class for the UA HAS BAS program. It is a multidisciplinary course delineating the physical basis of electromagnetic remote sensing, the concepts of information extraction, and applications pertinent to earth systems science, and in particular, to atmospheric sciences (currently not offered -- changed to ATMO 455).
This is an online class for the UA HAS BAS program. An introduction to the computational methods used to solve problems in the atmospheric sciences with emphasis on numerical schemes widely used in numerical weather prediction and climate models. Statistical analysis of observational data and model output will also be introduced.
This is a Tier 1 General Education course in Natural Sciences. It is designed as an introduction to the science of weather processes and climate, including the genesis of fronts and cyclones, precipitation processes, the wind systems of the world, severe storms, and weather forecasting. Special emphasis will be given to natural phenomena, which have strong impacts on human activities including tornadoes, hurricanes, El Nino, global warming, ozone depletion, and air pollution. The fundamental importance of physics, chemistry, and mathematics to atmospheric science will be stressed.
Google Earth has become a useful teaching and research tool especially for Earth System science. Atmospheric science-related data can now be overlayed on Google Earth to help visualize, explore and understand the spatial and temporal variability of key state variables that drive our weather, climate and air quality. Together with Ken Cummins of UA HAS, I am starting to use Google Earth Pro for a variety of applications (e.g. long-range transport of pollution, local to regional variability of carbon monoxide across the United States, chemical weather forecasting, sensitivity analysis of dust aerosols, and the impact of terrain and soil conductivity on the incidence and properties of cloud-to-ground lightning).This is part of an on-going effort to integrate atmospheric science results to teaching and mentoring undergraduate and graduate students. Contact Ave Arellano and Ken Cummins for more details (discontinued, see Google Earth Engine instead).