Successful completion of this course will provide the following learning outcomes:

A basic survey of regional to global scale meteorological-climate processes and how
these processes are linked to human and environmental systems

A fundamental understanding of physical and remote sensing concepts and 
methodologies applied in meteorological/climate analysis and forecasting

A rigorous review of current and future observational and prediction
systems/methodologies for meteorological and climate studies

An opportunity to engage in inquiry-based learning and hands-on application of
meteorological and climate satellite data through modules and scenarios

Enhanced computer literacy through email/internet transactions, basic computer
programming philosophy, internet-based data acquisition, data processing, and
analysis through applications modules and inquiry-based scenarios

More effective communication through speech and writing as a result of in-class
presentations, posters, and written assignments

A greater cognizance of the importance of science in the everyday functioning of our
planet, and its crucial role in informing science and socio-political stakeholders
and policymakers policy


As noted above, this course addresses the following General Educational Abilities:  

Communicate effectively through writing
Communicate effectively through speech
Computer Literacy
Critical Thinking (Engage in complex thought, analysis, and reasoning)
Moral Reasoning (Ethics)

Introduction	
Basic image analysis	
Satellites and instruments
Synoptic-scale systems	
Synoptic-scale systems
Fronts and waves	
Mid-latitude cyclones: Cyclogenesis
Mid-latitude cyclones: Occlusions, polar lows
Mesoscale systems: Oceans and topography
Mesoscale systems: Thunderstorms, MCSs
Aviation/marine applications
Floods/precipitation
Winds and Sounders	
Soils/cryosphere
Radiation budget

COMET Module
Remote Sensing Using Satellites
Satellite Meteorology: GOES Channel Selection 
An Introduction to POES Data and Products 
Feature Identification from Environmental Satellites 
Remote Sensing of Land, Ocean and Atmosphere with MODIS 
The Feature Identification Exercises: Clouds, Snow, and Ice Using MODIS