5 algorithm-development "https:" positions at National Aeronautics and Space Administration (NASA)

Data Assimilation of Combined Lidar and Polarimeter Observations for the AOS Mission

National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 11 hours ago

include (but are not limited to): Develop algorithms to characterize aerosol speciation from LIDAR fluorescence signals Develop machine learning emulators to represent forward operators for polarimeter-only

Radiative Transfer and Climate Model

National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 4 hours ago

climate system and the effect of ice-atmosphere feedbacks (e.g., ice albedo feedback and cloud feedback) on sea ice evolution. Developing radiative transfer algorithms to improve both the physical

Aerosol and Cloud Remote Sensing using Lidar

National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 11 hours ago

Lidar and the Roscoe upper troposphere/lower stratosphere lidar). Additional projects include the development of machine learning and advanced data processing algorithms, and participation in upcoming

A Next Generation Quick Fire Emissions Dataset (QFED)

National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 11 hours ago

to): 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

Earth Science: frozen hydrometeor remote sensing; ML/AI application to retrieve and track clouds; atmosphere coupling

National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 11 hours ago

retrieval algorithm development with focus on using the polarimetric signals, the new FIR or sub-mm bands, and/or the ML/AI approach; (3) ML/AI application on system/pattern tracking on satellite images