Development of Data-Assimilation-Quality MODIS and MISR Over Ocean Aerosol Products

Abstract

Aerosol related researches have gained a significant amount of attention over the past decade, largely due to its importance in climate change studies. In addition, aerosols are also heavily studied for air quality and visibility forecasts, using Chemical Transport Models (CTM). Studies have shown that the CTM's aerosol forecasting capability can be significantly improved through the assimilation of satellite based aerosol measurements. However, large uncertainties and disagreements frequently exist in these satellite aerosol products. Thus, it is critical to have quality control and quality assurance procedures before assimilating these observations into numerical models.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2009
Accession Number
ADA510991

Entities

People

  • Yingxi Shi

Organizations

  • University of North Dakota

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Atmospheric Sciences
  • Climate Change
  • Combustion
  • Department Of Defense
  • Electromagnetic Radiation
  • Geography
  • Greenhouse Gases
  • Ground Based
  • Measurement
  • Optical Properties
  • Physical Properties
  • Quality Control
  • Reflectance
  • Scattering
  • Surface Properties
  • Three Dimensional

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Life Cycle Cost Analysis
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • Space