Research, Coordination, Data Management and Enhancement of the International Arctic Buoy Programme (IABP)- A US Interagency Arctic Buoy Programme (USIABP) Contribution to the IABP

Abstract

Our ability to predict weather and sea ice conditions requires in situ observations of surface meteorology and ice motion (Chief of Naval Operations, 2019; National Research Council, 2012). These observations are used for validation of numerical models, for example, Allard et al. (2018) and Hebert et al. (2015) use IABP data to validate the Navy Global Ocean Forecasting System (GOFS). These observations are also assimilated into Numerical Weather Prediction (NWP) models that are used to forecast weather on synoptic time scales, and into the many long-term atmospheric reanalyses that are used for innumerable climate studies (e.g., NCEP/NCAR Reanalysis, Kalnay et al. 1996). Over the Arctic Ocean, this fundamental observing network is maintained by the US Interagency Arctic Buoy Program and the International Arctic Buoy Programme. During the last 5 years, we deployed 271 buoys ranging in size from small Ice Trackers, to large Airborne Seasonal Ice Buoys, and Microstructure of Ice Salinity and Temperature buoys. Over 110 publications citing use of IABP data over the period of the most recent grant. These observations provide the longest continuous record for the Arctic and continue to be one of the cornerstones for environmental forecasting and research.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2019
Accession Number
AD1094624

Entities

People

  • Ignatius G. Rigor

Organizations

  • University of Washington Applied Physics Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Arctic Ocean
  • Atmospheric Sciences
  • Climate Change
  • Data Management
  • Geography
  • Measurement
  • Meteorology
  • Naval Operations
  • Observation
  • Oceanography
  • Oceans
  • Physics
  • Physics Laboratories
  • Remote Sensing
  • Sea Ice
  • Topography
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Oceanography.