Exploitation of lnfrared Radiance and Retrieval Product Data to Improve Numerical Dust Modeling

Abstract

This is the final report for ONR grant N00l 73-14-1-G905 which focused on developing IR dust detection and Aerosol Optical Thickness retrievals applied to hyperspectral infrared observations. This research focused on UAV Global Hawk flights in the eastern Atlantic Ocean as part the NASA HS3 mission providing well calibrated collocated hyper-spectral IR data with coincident lidar (Cloud Physics Lidar CPL) data in addition to frequent drop sound measurements during the flights. This combination provides a unique, well constrained data set to investigate the information content of dust in the IR validated with the lidar profiles.

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Document Details

Document Type
Technical Report
Publication Date
Dec 20, 2017
Accession Number
AD1050389

Entities

People

  • Robert Holz

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Africa
  • Aircrafts
  • Artificial Satellites
  • Atlantic Ocean
  • Backscattering
  • Cloud Physics
  • Data Set
  • Data Sets
  • Digital Data
  • High Resolution
  • Measurement
  • Minerals
  • Observation
  • Optical Properties
  • Phyllosilicates
  • Radiance
  • Radiative Transfer
  • Scattering
  • Sea Surface Temperature
  • Space Sciences
  • Spectra
  • Surface Properties
  • Surface Temperature
  • Thickness
  • Unmanned Aerial Vehicles
  • Water Vapor

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Database Systems and Applications
  • Distributed Systems and Data Platform Development