Development of an Operational Data Assimilation Package Using NAAPS and NAVDAS

Abstract

Recently, a new aerosol assimilation model (NAVDAS-AOD) was developed to improve the Navy Aerosol Analysis and Prediction System (NAAPS)'s electro-optical propagation forecast capability. In this project, we developed Quality Control and Quality Assurance strategies for the over-ocean Collection 5 Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol product that will be applied to the operational data assimilation scheme. An observational based Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) climatology was also developed and implemented to NAVDAS-AOD for improving vertical representations of aerosol distributions. We also tested the feasibility of aerosol data fusion with the combined use of the MODIS, MODIS DeepBlue, and the Multiangle Imaging SpectroRadiometer (MISR) aerosol products. Using the NAAPS analysis with data assimilation, we also examined the clear sky and contextual biases for satellite aerosol products.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2009
Accession Number
ADA510932

Entities

People

  • Jianglong Zhang

Organizations

  • University of North Dakota

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Satellites
  • Assimilation
  • Atmospheric Sciences
  • Climatology
  • Clouds
  • Data Fusion
  • Data Sets
  • Detectors
  • Earth Sciences
  • Marine Meteorology
  • Meteorology
  • Observation
  • Quality Control
  • Remote Sensing
  • Spectroradiometers
  • Three Dimensional

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Atmospheric Science/Meteorology

Technology Areas

  • Space