NFLUX PRE: Validation of New Specific Humidity, Surface Air Temperature, and Wind Speed Algorithms for Ascending/Descending Directions and Clear or Cloudy Conditions

Abstract

The Naval Research Laboratory (NRL) Ocean Surface Flux System (NFLUX) has been updated to include additional satellite sensors and improved satellite retrieval algorithms. In addition to data from the Special Sensor Microwave Imager/Sounder (SSMIS) and the Advanced Microwave Sounding Unit (AMSU) sensors, NFLUX also processes data from the Advanced Technology Microwave Sounder (ATMS) and Advanced Microwave Scanning Radiometer-2 (AMSR2) sensors. The original multiple linear regression algorithms have been updated to multiple polynomial regression algorithms based on a hyperbolic function, which also eliminates the need for additional adjustments for observations in the higher ranges of the products. For each satellite and ocean surface product combination four separate algorithms were developed based on ascending/descending orbits as well as clear/cloudy conditions. Global statistics are presented for each of the algorithm types for each sensor.

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Document Details

Document Type
Technical Report
Publication Date
Jun 18, 2015
Accession Number
ADA619607

Entities

People

  • Clark D. Rowley
  • Jackie May
  • Neil Van De Voorde

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Air Temperature
  • Algorithms
  • Artificial Satellites
  • Confidence Limits
  • Data Sets
  • Databases
  • Heat Flux
  • Information Science
  • Meteorological Satellites
  • Military Research
  • Precipitation
  • Probability
  • Probability Distributions
  • Sea Surface Temperature
  • Statistics
  • Temperature Gradients
  • Two Dimensional

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Atmospheric Remote Sensing.

Technology Areas

  • Space