36 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FAU Erlangen Nürnberg •" research jobs at National Aeronautics and Space Administration (NASA)

Advanced Aerosol Data Assimilation of the GEO-LEO Constellation

National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 7 days ago

(GMAO), is a comprehensive Earth system model and data assimilation system. The GMAO assimilates aerosol optical depth (AOD) observations from space-borne (e.g. MODIS, VIIRS) and ground-based (AERONET

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

National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 6 days ago

distribution on a global scale. This project will focus on developing a strategy to best utilize this data in a global atmospheric data assimilation framework. Activities that would be involved in this project

Stratospheric Composition in a Changing Climate

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 7 days ago

scholar to conduct in-depth analysis of stratospheric data, using data from the Microwave Limb Sounder (MLS) as well as complementary datasets like the Atmospheric Chemistry Experiment Fourier Transform

Agnostic Biosignatures and Planetary Mass Spectrometry

National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 7 days ago

. This work will be done in close coordination with Dr. Sarah Johnson leading a team exploring agnostic approaches to life detection (49th Lunar and Planetary Science Conference 19-23 March, 2018, Contribution

Predicting Precipitation-Driven Disruptions to Critical Infrastructure

National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 7 hours ago

traditional predictive attempts and limits the availability of training data for high-resolution atmospheric and hydrological models. This limitation is compounded by the fact that many atmospheric reanalysis

Infrared Detector Technology Development

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 6 days ago

(2018); https://doi.org/10.1063/1.5033338 Shuyan Zhang, Alexander Soibel, Sam A. Keo, Daniel Wilson, Sir. B. Rafol, David Z. Ting, Alan She, Sarath D. Gunapala, and Federico Capasso, “Solid-immersion

Strengthening NASA Air Quality Observations with Low-Cost Sensor Data

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 7 days ago

. Description: NASA Ames Research Center is looking for a postdoctoral assistant with research interests in low-cost sensors and/or data fusion to join our Trace Gas measurement group. This will involve working

Machine Learning Applications in Solar System Exploration

National Aeronautics and Space Administration (NASA) | United States | 27 minutes ago

, modeling, assessment and evaluation must be carefully completed before deployment to space. To this end, it is advantageous to simulate autonomous operations, including assessment of prior spacecraft data

Prithvi-EO Foundation Model for Forest Structure, Biomass, and Fire-Relevant Metrics

National Aeronautics and Space Administration (NASA) | United States | about 13 hours ago

carbon-cycle modeling. The project will build a unified modeling framework that uses GEDI LiDAR and Landsat/HLS data to train deep learning models capable of predicting forest structure variables such as

Next-generation wildfire risk assessment using deep learning based high resolution fuel maps and stochastic fire spread modeling

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 7 hours ago

. Description: This project aims to develop a next-generation wildfire risk assessment platform that tightly integrates Earth Observation (EO) data, deep learning, and dynamic fire behavior modeling