We propose to develop advanced inversion algorithms to infer global distributions of phytoplankton in three size classes (micro, nano, and pico), colored detrital matter, dissolved and particulate…
Ended Cooperative Agreement Awarded Last action
- Contract number
- 80NSSC18M0024
- Awardee
-
University Of North Dakota UEI RSWNKK6J8CF3
- Awarding agency
-
Shared Services Center
National Aeronautics and Space Administration
- Obligated
- $743,286
Award facts
- Contract value 100% obligated
- $743,285.78 Current and potential, with all options
- Completion date 100% complete
-
- Current, with exercised options
- Potential, with all options
- Contracting staff
- NAICS code
- Not on record
- Set-aside
- No set-aside
- Competition
- Full and Open Competition Basic Research
- Pricing
- Other
- Place of performance
- Grand Forks, ND 58202, USA
Award details come from SAM.gov/FPDS.
Transactions
| Action | Obligated | Date |
|---|---|---|
| Funding Only Action | -$0 | |
| Other Administrative Action | $0 | |
| Other Administrative Action | $0 | |
| Other Administrative Action | $0 | |
| Original award | $743,286 |
About this award
The University of North Dakota (UND) received a $743,285.78 cooperative agreement from the National Aeronautics and Space Administration (NASA) to develop advanced inversion algorithms to retrieve global distributions of phytoplankton, colored detrital matter, and other biogeochemical stocks from satellite ocean color data. The goal is to support studies of oceanic carbon sequestration. The principal investigator is Dr. Xiaodong Zhang from UND's Department of Earth System Science and Policy. This contract builds on Dr. Zhang's prior research on algorithms to derive phytoplankton size classes and other properties from field measurements. The awarded cooperative agreement does not have a set-aside designation and will run through July 12, 2023. This work supports NASA's Earth science and climate research programs.
Description
We propose to develop advanced inversion algorithms to infer global distributions of phytoplankton in three size classes (micro, nano, and pico), colored detrital matter, dissolved and particulate matter from remotely sensed ocean color data to support the studies of oceanic sequestration of atmospheric CO2. DR. Xiaodong zhang, a professor with the department of earth system science and policy at the university of north dakota will lead this effort as the science-investigator. His prior studies have led to the development of individual algorithms based on the field measurements that derive phytoplankton size classes and colored detrital matter from the spectral absorption coefficients and derive size and composition distribution of various biogeochemical stocks from the volume scattering functions. We will refine, revise and combine these individual algorithms into applications that can be used for satellite ocean color observation. Specifically, the developed algorithms will allow the retrieval of (i) phytoplankton concentrations in three size classes of micro (>20 m), nano (2 20 m) and pico (
Quick answers
Who was awarded contract 80NSSC18M0024?
80NSSC18M0024 was awarded to University Of North Dakota by Shared Services Center (National Aeronautics and Space Administration) on December 1, 2017.
How much is contract 80NSSC18M0024 worth?
The government has obligated $743,286 on 80NSSC18M0024.
Was contract 80NSSC18M0024 competed?
The extent of competition for 80NSSC18M0024 was full and open competition.
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