Engineering topics
Fetzer, Eric
Publications and source records attributed to Fetzer, Eric.
Recent Progress and Future Directions in Atmospheric Science Enabled by the Atmospheric Infrared Sounder (AIRS)
No abstract available
Common Formats and Consistent Products from Sounders Part 2: Science Issues
No abstract available
Observation-Based Cloud Radiative Kernels from A-Train
We develop a method to empirically derive broadband and spectral cloud radiative kernels by cloud type from pixel-scale collocated A-Train observations and reanalysis, which does not require additional cloudy radiative transfer calculations nor cloud properties. This method is able to estimate the cloud feedback by maintaining the consistency between CRKs and cloud responses.
Quantification of Systematic Biases of Cloud-Radiation and Their Impacts on Global Climate Models Using Satellite Observations
No abstract available
Airs Level 2 Validation: Status of Version 6 and Plans for Candidate Version 7
No abstract available
AIRS Applications: Status, Applications Vs. Traditional Science
Proceedings of NASA Atmospheric Infrared Sounder Spring Science Team Meeting (AIRS 2016)
A Multi-Sensor Water Vapor, Temperature and Cloud Climate Data Record: Status of Our MEaSUREs 2012 Project
- Our primary objectives: Incorporate all A-Train water vapor, including small-scale, horizontal and vertical water vapor structure from MODIS (Moderate Resolution Imaging Spectroradiometer) and GPS (Global Positioning System); Use MODIS cloud classification that is collocated at the pixel-scale over the full AIRS/AMSU (Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit) swath; Extend summaries to PDFs (Probability Distribution Functions)/higher order moments of water vapor sorted by cloud classes; Establish robust, scale-dependent statistical relationships between cloud, temperature, and water vapor PDFs for the climate modeling community. - We will also: Update our current data record to new CloudSat/CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) cloud classification; Provide merged AIRS and MLS (Microwave Limb Sounder) water vapor profiles using averaging kernels; Include temperature and water vapor from models (ECMWF - European Centre for Medium-Range Weather Forecasts) and re-analyses (MERRA - Modern Era-Retrospective Analysis for Research and Applications); Classify METOP-A (Meteorological Operational Satellite-A) and NOAA (National Oceanic and Atmospheric Administration) satellite water vapor with AVHRR (Advanced Very High Resolution Radiometer) during SNOs (Solar Neutrino Oscillations); Compare with the NVAP-M (re-analysis and extension of the NASA Water Vapor Project (NVAP)) water vapor climatologies; Use existing data sources and mature algorithms, and document processing algorithms.
Validation of T and Q in AIRS V6 and V6.2, Neural Network and ECMWF Against Dedicated Radiosondes
No abstract available
Revising the Global Precipitation Climatology in Light of the Most Advanced Observations from Space
No abstract available