A Next Generation Quick Fire Emissions Dataset (QFED)
Description
NASA's Goddard Earth Observing System Model (GEOS) utilizes the Quick Fire Emissions Dataset (QFED) to represent emissions from vegetation fires. Recent updates to QFED include integration of fire products from new sensors (VIIRS) and a new multispectral approach for retrieving fire radiative power (FRP) for two phases of burning: flaming and smoldering. This project will focus on utilizing these fire products in a global atmospheric data assimilation framework.
Activities
- Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability
- Develop machine learning emulators to represent forward operators for fire observations for atmospheric data assimilation
- Implement ensemble methods in the fire emissions estimation and estimate uncertainties
- Utilize bi-phasic FRP retrievals for dynamic calculation of fire emissions composition, and representation of plume rise
Field of Science
Biomass burning is an important source of aerosols and trace gases to the atmosphere and is a major element of the terrestrial carbon cycle.
Advisors
Applications with citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control.
Eligibility
- U.S. Citizens;
- U.S. Lawful Permanent Residents (LPR);
- Foreign Nationals eligible for an Exchange Visitor J-1 visa status;
- Applicants for LPR, asylees, or refugees in the U.S. at the time of application with 1) a valid EAD card and 2) I-485 or I-589 forms in pending status
Questions
Questions about this opportunity? Please email npp@orau.org
Qualifications
- Degree: Doctoral Degree.
Field
Earth Science