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  • Earth Resources and Remote Sensing; Meteorology and Climatology  (3)
  • 2015-2019  (3)
  • 1985-1989
  • 1955-1959
  • 1
    Publication Date: 2019-07-20
    Description: No abstract available
    Keywords: Earth Resources and Remote Sensing; Meteorology and Climatology
    Type: MSFC-E-DAA-TN64419 , American Meteorological Society (AMS) Annual Meeting 2019; Jan 06, 2019 - Jan 10, 2019; Phoenix, AZ; United States
    Format: application/pdf
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  • 2
    Publication Date: 2019-07-13
    Description: Space-borne instruments are providing increasing amounts of data relating to global aerosol spectral optical depth, horizontal and vertical distribution, and very loose, but spatially and temporally extensive, constraints on particle micro-physical properties. The data sets, and many of the underlying techniques, are evolving rapidly. They represent a vast amount of information, potentially useful to the AAAR community. However, there are also issues, some quite subtle, that scientific users must take into consideration. This tutorial will provide one view of the answers to the following four questions: 1) What satellite-derived aerosol products are available? 2) What are their strengths and limitations? 3) How are they being used now? 4) How might they be used in conjunction with each other, with sub-orbital measurements, and with models to address cutting-edge aerosol questions?
    Keywords: Earth Resources and Remote Sensing; Meteorology and Climatology
    Type: GSFC-E-DAA-TN36580 , Annual Conference American Association for Aerosol Research (AAAR); Oct 17, 2016 - Oct 21, 2016; Portland, Oregon; United States
    Format: application/pdf
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  • 3
    Publication Date: 2019-08-14
    Description: - 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.
    Keywords: Earth Resources and Remote Sensing; Meteorology and Climatology
    Type: JPL-CL-16-1406 , NASA Atmospheric Infrared Sounder Spring Science Team Meeting (AIRS 2016); Mar 22, 2016 - Mar 24, 2016; Pasadena, CA; United States
    Format: text
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