The Polar Mesospheric Cloud Mass in the Arctic Summer

Abstract

We infer the polar mesospheric cloud (PMC) mass throughout the Arctic summer using results from two sets of satellite observations and a microphysical model. Solar backscatter ultraviolet (SBUV) PMC observations in July 1999 indicate a burst of activity persisting for 8 days after a space shuttle launch and averaging 262 plus or minus 52 t near 4.7 local time. This mass is consistent with the propellant mass available from the shuttle's main engines and accounts for 22% of the total SBUV PMC mass over the season between 65 and 75 deg N. This is the first evidence that PMCs formed by space shuttle water exhaust can contribute significantly to both the number of observed PMCs and the total PMC mass in a season. In another approach, 11 years of observations by the Halogen Occultation Experiment (HALOE) indicate that on average 90 plus or minus 12 t of water ice is present near local midnight between 65 and 75 deg N. Using simultaneous HALOE water vapor observations, we find that a one-dimensional microphysical model reproduces the start and end of the PMC season but overpredicts the ice mass by about a factor of 1.8 when compared with the observations. This overprediction is within the time-dependent variability of ice formation and the uncertainties of temperature, water vapor, and vertical winds used to initialize the model.

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Document Details

Document Type
Technical Report
Publication Date
Feb 19, 2005
Accession Number
ADA521902

Entities

People

  • Christoph R Englert
  • Mark E. Hervig
  • Matthew T. Deland
  • Michael H. Stevens

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Astronautics
  • Birds
  • Climate Change
  • Detection
  • Exhaust Plumes
  • Grids
  • Ground Based
  • Ice Formation
  • Launch Vehicles
  • Measurement
  • Noctilucent Clouds
  • Particle Size
  • Scattering
  • Solar Cycle
  • Space Shuttles
  • Spacecraft
  • Water Vapor

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Combustion science or combustion engineering.
  • Computational Modeling and Simulation

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Space