Advanced Use of Soundings from Hyperspectral IR Spaceborne Observations to Improve Arctic Prediction

Abstract

Funds are provided to conduct research to simulate and predict Arctic cyclones through improved satellite data assimilation. The project aims to improve understanding of the basic processes governing the development and evolution of Arctic cyclones, and their influence on coupled air-sea-ice processes. The PI will undertake a series of case studies of notable events, during which rapidly developing Arctic cyclones have been associated with large decreases in ice extent. Retrieval methods will be used to obtain remotely sensed observations that will then be validated and improved against available rawinsondes, dropsondes, and GPS PW data collected from field experiments. These observations will be used in collaboration with researchers in data analysis and numerical weather prediction to improve predictive models.

Document Details

Document Type
DoD Grant Award
Publication Date
Jul 10, 2018
Source ID
N000141812166

Entities

People

  • Steven Businger

Organizations

  • Office of Naval Research
  • United States Navy
  • University of HawaiĘ»i System

Tags

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Polar and Arctic Studies

Technology Areas

  • Space