NA24OARX432C0007
Cooperative Agreement
Overview
Grant Description
Purpose: The CIRA team developed the Enterprise Cloud Base Height (CBH)/Cloud Geometric Thickness (CGT) algorithm that was initially established using VIIRS data and was followed by a version of the algorithm using GOES-R Series Advanced Baseline Imager (ABI) data.
This product is a key component required to provide satellite-based 3D cloud information.
Tied to the NOAA JPSS PGRR research project at CIRA, we introduced a Cloud Vertical Cross-Section Algorithm (CVC) along flight paths over Alaska and extended this effort to CONUS using GOES-16 ABI data, focusing on the needs of aviation users.
More recently, CIRA started incorporating HRRR smoke model data as requested by users for improved visibility information.
As part of this project, CIRA will provide user-selectable CVC products by combining GOES-16/18 ABI data over an expanded domain including all of North America.
The algorithms can be applied to all ABI sensors onboard the GOES-R Series, and the fundamental framework will also be applicable to NOAA's future Geostationary Extended Observations (GEOXO) satellite system.
This project directly addresses NOAA's Weather-Ready Nation objectives.
The products and user documents will be available online for the general public and will help NOAA's mission to provide enhanced satellite data for aviation applications.
This product is a key component required to provide satellite-based 3D cloud information.
Tied to the NOAA JPSS PGRR research project at CIRA, we introduced a Cloud Vertical Cross-Section Algorithm (CVC) along flight paths over Alaska and extended this effort to CONUS using GOES-16 ABI data, focusing on the needs of aviation users.
More recently, CIRA started incorporating HRRR smoke model data as requested by users for improved visibility information.
As part of this project, CIRA will provide user-selectable CVC products by combining GOES-16/18 ABI data over an expanded domain including all of North America.
The algorithms can be applied to all ABI sensors onboard the GOES-R Series, and the fundamental framework will also be applicable to NOAA's future Geostationary Extended Observations (GEOXO) satellite system.
This project directly addresses NOAA's Weather-Ready Nation objectives.
The products and user documents will be available online for the general public and will help NOAA's mission to provide enhanced satellite data for aviation applications.
Awardee
Funding Goals
18 CLIMATE ADAPTATION AND MITIGATION 19 WEATHER-READY NATION 20 HEALTHY OCEANS 21 RESILIENT COASTAL COMMUNITIES AND ECONOMIES
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Fort Collins,
Colorado
805212807
United States
Geographic Scope
Single Zip Code
Related Opportunity
NOAA-OAR-CIPO-2024-2008112
Analysis Notes
Amendment Since initial award the total obligations have increased 22049% from $50,000 to $11,074,730.
Colorado State University was awarded
Enhanced Satellite-Based Cloud Information for Aviation Applications
Cooperative Agreement NA24OARX432C0007
worth $11,074,730
from National Oceanic and Atmospheric Administration in July 2024 with work to be completed primarily in Fort Collins Colorado United States.
The grant
has a duration of 5 years and
was awarded through assistance program 11.432 National Oceanic and Atmospheric Administration (NOAA) Cooperative Institutes.
Status
(Ongoing)
Last Modified 9/19/24
Period of Performance
7/1/24
Start Date
6/30/29
End Date
Funding Split
$11.1M
Federal Obligation
$0.0
Non-Federal Obligation
$11.1M
Total Obligated
Activity Timeline
Transaction History
Modifications to NA24OARX432C0007
Additional Detail
Award ID FAIN
NA24OARX432C0007
SAI Number
NA24OARX432C0007-035
Award ID URI
None
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
1305N2 DEPT OF COMMERCE NOAA
Funding Office
1333BR OFC OF PROG.PLANNING&INTEGRATION
Awardee UEI
LT9CXX8L19G1
Awardee CAGE
4B575
Performance District
CO-02
Senators
Michael Bennet
John Hickenlooper
John Hickenlooper
Modified: 9/19/24