The Impact of Dropsonde and Extra Radiosonde Observations during NAWDEX in Autumn 2016

Matthias Schindler, Martin Weissmann, Andreas Schäfler, Gabor Radnoti

Publications: Contribution to journalArticlePeer Reviewed

Abstract

Dropsonde observations from three research aircraft in the North Atlantic region, as well as several hundred additionally launched radiosondes over Canada and Europe, were collected during the international North Atlantic Waveguide and Downstream Impact Experiment (NAWDEX) in autumn 2016. In addition, over 1000 dropsondes were deployed during NOAA’s Sensing Hazards with Operational Unmanned Technology (SHOUT) and Reconnaissance missions in the west Atlantic basin, supplementing the conventional observing network for several intensive observation periods. This unique dataset was assimilated within the framework of cycled data denial experiments for a 1-month period performed with the global model of the ECMWF. Results show a slightly reduced mean forecast error (1%–3%) over the northern Atlantic and Europe by assimilating these additional observations, with the most prominent error reductions being linked to Tropical Storm Karl, Cyclones Matthew and Nicole, and their subsequent interaction with the midlatitude waveguide. The evaluation of Forecast Sensitivity to Observation Impact (FSOI) indicates that the largest impact is due to dropsondes near tropical storms and cyclones, followed by dropsondes over the northern Atlantic and additional Canadian radiosondes. Additional radiosondes over Europe showed a comparatively small beneficial impact.
Original languageEnglish
Pages (from-to)809-824
Number of pages16
JournalMonthly Weather Review
Volume148
Issue number2
DOIs
Publication statusPublished - 1 Feb 2020

Austrian Fields of Science 2012

  • 105206 Meteorology

Keywords

  • Atlantic Ocean
  • DATA ASSIMILATION
  • Data assimilation
  • Diagnostics
  • ECMWF
  • EXTRATROPICAL TRANSITION
  • FORECASTS
  • Field experiments
  • Hurricanes
  • Numerical weather prediction
  • PART I
  • PROFILES
  • SKILL
  • TARGETED OBSERVATIONS
  • forecasting

Cite this