Content-Length: 45590 | pFad | http://rammb.cira.colostate.edu/training/shymet/

Regional and Mesoscale Meteorology Branch Satellite Hydrology and Meteorology (SHyMet) Skip to Navigation Skip to content

Regional and Mesoscale Meteorology Branch

Search the RAMMB website

Satellite Hydrology and Meteorology (SHyMet)

A series of courses dedicated to operational satellite meteorology

Main Objective

To prepare National Oceanic and Atmospheric Administration (NOAA) and National Weather Service (NWS) users for the latest polar orbiting and geostationary satellite data and products in the warning and forecast programs with direct links to Government Performance Results Act (GPRA) goals.

Completes end-to-end program cycle for space-based remote sensing as part of NOAA’s Strategic Plan for an Integrated Global Environmental Observation and Data Management System and Global Earth Observation System of Systems (GEOSS).

The Satellite Hydrology and Meteorology (SHyMet) Courses combine existing, new, and updated satellite training materials into a series of structured courses. The courses cover basic principles of satellite imaging and sounding, channels and products, identification of atmospheric and surface phenomena, and the integration of meteorological analysis with satellite observations and products into the weather forecasting and warning process. Advanced topics on identification of atmospheric and surface phenomena with associated case examples are also included.

A key aspect of this satellite-training program will be the linkage of new data, products, and forecasting techniques developed by NOAA’s joint centers (such as the Joint Center for Satellite Data Assimilation (JCSDA), the Short-term Prediction Research and Transition Center (SPoRT) and the many NWS National Centers) and cooperative institutes such as CIRA and Cooperative Institute for Meteorological Satellite Studies (CIMSS) to the NWS.

Page Contact

Unless otherwise noted, all content on the CIRA RAMMB: VISIT, SHyMet and VLab webpages are released under a Creative Commons Attribution 3.0 License.









ApplySandwichStrip

pFad - (p)hone/(F)rame/(a)nonymizer/(d)eclutterfier!      Saves Data!


--- a PPN by Garber Painting Akron. With Image Size Reduction included!

Fetched URL: http://rammb.cira.colostate.edu/training/shymet/

Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy