Impact of Coupling with an Ice–Ocean Model on Global Medium-Range NWP Forecast Skill

Author:

Smith Gregory C.1,Bélanger Jean-Marc1,Roy François1,Pellerin Pierre1,Ritchie Hal1,Onu Kristjan1,Roch Michel2,Zadra Ayrton2,Colan Dorina Surcel3,Winter Barbara3,Fontecilla Juan-Sebastian3,Deacu Daniel3

Affiliation:

1. Environmental Numerical Prediction Research Section, Environment and Climate Change Canada, Dorval, Québec, Canada

2. Numerical Weather Prediction Research Section, Environment and Climate Change Canada, Dorval, Québec, Canada

3. Meteorological Service of Canada, Environment and Climate Change Canada, Dorval, Québec, Canada

Abstract

The importance of coupling between the atmosphere and the ocean for forecasting on time scales of hours to weeks has been demonstrated for a range of physical processes. Here, the authors evaluate the impact of an interactive air–sea coupling between an operational global deterministic medium-range weather forecasting system and an ice–ocean forecasting system. This system was developed in the context of an experimental forecasting system that is now running operationally at the Canadian Centre for Meteorological and Environmental Prediction. The authors show that the most significant impact is found to be associated with a decreased cyclone intensification, with a reduction in the tropical cyclone false alarm ratio. This results in a 15% decrease in standard deviation errors in geopotential height fields for 120-h forecasts in areas of active cyclone development, with commensurate benefits for wind, temperature, and humidity fields. Whereas impacts on surface fields are found locally in the vicinity of cyclone activity, large-scale improvements in the mid-to-upper troposphere are found with positive global implications for forecast skill. Moreover, coupling is found to produce fairly constant reductions in standard deviation error growth for forecast days 1–7 of about 5% over the northern extratropics in July and August and 15% over the tropics in January and February. To the authors’ knowledge, this is the first time a statistically significant positive impact of coupling has been shown in an operational global medium-range deterministic numerical weather prediction framework.

Funder

Environment and Climate Change Canada

Publisher

American Meteorological Society

Subject

Atmospheric Science

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