Evaluating the Leeway Coefficient of Ocean Drifters Using Operational Marine Environmental Prediction Systems

Author:

Sutherland Graig1,Soontiens Nancy2,Davidson Fraser2,Smith Gregory C.1,Bernier Natacha1,Blanken Hauke3,Schillinger Douglas4,Marcotte Guillaume5,Röhrs Johannes6,Dagestad Knut-Frode7,Christensen Kai H.68,Breivik Øyvind79

Affiliation:

1. a Environmental Numerical Prediction Research, Environment and Climate Change Canada, Dorval, Quebec, Canada

2. b North Atlantic Fisheries Center, Fisheries and Oceans Canada, St. John’s, Newfoundland and Labrador, Canada

3. c Institute of Ocean Sciences, Fisheries and Oceans Canada, Sidney, British Columbia, Canada

4. d Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada

5. e Environmental Emergency Response Section, Environment and Climate Change Canada, Dorval, Quebec, Canada

6. f Norwegian Meteorological Institute, Oslo, Norway

7. g Norwegian Meteorological Institute, Bergen, Norway

8. h Department of Geosciences, University of Oslo, Oslo, Norway

9. i Geophysical Institute, University of Bergen, Bergen, Norway

Abstract

AbstractThe water following characteristics of six different drifter types are investigated using two different operational marine environmental prediction systems: one produced by Environment and Climate Change Canada (ECCC) and the other produced by MET Norway (METNO). These marine prediction systems include ocean circulation models, atmospheric models, and surface wave models. Two leeway models are tested for use in drift object prediction: an implicit leeway model where the Stokes drift is implicit in the leeway coefficient, and an explicit leeway model where the Stokes drift is provided by the wave model. Both leeway coefficients are allowed to vary in direction and time in order to perfectly reproduce the observed drifter trajectory. This creates a time series of the leeway coefficients that exactly reproduce the observed drifter trajectories. Mean values for the leeway coefficients are consistent with previous studies that utilized direct observations of the leeway. For all drifters and models, the largest source of variance in the leeway coefficient occurs at the inertial frequency and the evidence suggests it is related to uncertainties in the ocean inertial currents.

Funder

Norges Forskningsråd

Publisher

American Meteorological Society

Subject

Atmospheric Science,Ocean Engineering

Reference45 articles.

1. Allen, A. A., and J. V.Plourde, 1999: Review of leeway: Field experiments and implementation. U.S. Coast Guard Research and Development Center Tech. Rep. CG-D-08-99, 351 pp., https://apps.dtic.mil/dtic/tr/fulltext/u2/a366414.pdf.

2. The HARMONIE–AROME model configuration in the ALADIN–HIRLAM NWP system;Bengtsson;Mon. Wea. Rev.,2017

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