A Method for Routine PM2.5 Observation and Incorporation into Numerical Weather Prediction

Abstract

Numerical weather prediction simulates aerosol abundance using climatic emission inventories due to a lack of available real-time observation. An advocation to monitor aerosol number concentration with a standardized global sensor network is defended. Analysis is done on WRF-Chem output near Dayton, Ohio after CPC data is manually inserted as WRF-Chem input at the surface. Upon confirmation of PM2.5 characterization improvement by point-observation initialization, a method of integrating PM2.5 abundance into the long-standing meteorological observation network is suggested: encoding of PM2.5 number concentration in the routine meteorological aerodrome report (METAR) as an estimate of horizontal visibility.

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Document Details

Document Type
Technical Report
Publication Date
Mar 26, 2020
Accession Number
AD1107407

Entities

People

  • Daniel B. Jagoda

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Coding
  • Detectors
  • Emission
  • Inventory
  • Networks
  • Observation
  • Sensor Networks
  • Visibility
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Aerosol Science/Aerosol Physics
  • Atmospheric Science/Meteorology
  • Systems Analysis and Design