THE COOPERATIVE INSTITUTE FOR RESEARCH IN THE ATMOSPHERE (CIRA)
Recipient
Colorado State University
200 W. Lake Street
1375 Campus Delivery
Fort Collins, Colorado 80523-1375
(970) 491-8448
https://www.cira.colostate.edu
Director
Research Themes
- Satellite Algorithm Development, Training and Education – Research associated with development of satellite-based algorithms for weather forecasting, with emphasis on regional and mesoscale meteorological phenomena, as well as development of training material to a wide variety of users, emphasizing operational forecasters
- Regional to Global Scale Modeling Systems – Research associated with the improvement of weather/climate models that simulate and predict changes in the Earth system, including atmospheric and ocean dynamcs, radiative forcing, clouds/convection, land surface modeling, hydrology, and coupled modeling of the Earth system
- Data Assimilation – Continued development of techniques to assimilate environmental observations, including satellite, terrestrial, oceanic, and biological observations, for use in analysis, modeling, and prediction activities associated with weather/climate predictions
- Climate-Weather Processes – Research focusing on using numerical models and environmental data, including satellite observations, to better understand systems on the weather and short-term climate timescales (minutes to months) including regional climate
- Data Distribution – Identifying effective and efficient methods of quickly distributing and displaying environmental and model data using web map services, data compression algorithms, and other techniques
Consortium Members
- None
Award Details
First 5-Year Award | Second 5-Year Award | |
Award Number | NA19OAR4320073-T1-01 | NA24OARX432C0007-T1-01 |
Award Period | July 1, 2019 – June 30, 2024 |
July 1, 2024 – June 30, 2029 |
Award Amount | $128,695,000 | $308,000,000 |
Research Performance Progress Reports |
July 2019 – March 2020 April 2020 – March 2021 April 2021 – March 2022 April 2022 – March 2023 |
|
CI Review by Science Advisory Board |
June 13-14, 2023 |