Abstract

This article compares interactively coupled atmosphere–ocean hindcast simulations with stand-alone runs of the atmosphere and ocean models using the recently developed regional ocean–atmosphere model NEMO-Nordic for the North Sea and Baltic Sea. In the interactively coupled run, the ocean and the atmosphere components were allowed to exchange mass, momentum and heat every 3 h. Our results show that interactive coupling significantly improves simulated winter sea surface temperatures (SSTs) in the Baltic Sea. The ocean and atmosphere stand-alone runs, respectively, resulted in too low sea surface and air temperatures over the Baltic Sea. These two runs suffer from too cold prescribed ERA40 SSTs, which lower air temperatures and weaken winds in the atmosphere only run. In the ocean-only run, the weaker winds additionally lower the vertical mixing thereby lowering the upward transport of warmer subpycnocline waters. By contrast, in the interactively coupled run, the ocean–atmosphere heat exchange evolved freely and demonstrated good skills in reproducing observed surface temperatures. Despite the strong impact on oceanic and atmospheric variables in the coupling area, no far reaching influence on atmospheric variables over land can be identified. In perturbation experiments, the different dynamics of the two coupling techniques is investigated in more detail by implementing strong positive winter temperature anomalies in the ocean model. Here, interactive coupling results in a substantially higher preservation of heat anomalies because the atmosphere also warmed which damped the ocean to atmosphere heat transfer. In the passively coupled set-up, this atmospheric feedback is missing, which resulted in an unrealistically high oceanic heat loss. The main added value of interactive air–sea coupling is twofold: (1) the elimination of any boundary condition at the air–sea interface and (2) the more realistic dynamical response to perturbations in the ocean–atmosphere heat balance, which will be essential in climate warming scenarios.

Highlights

  • Interactive air Á sea coupling is applied more and more in regional high-resolution modelling

  • Our experiments reveal that interactive coupling can significantly influence the simulated surface temperature in the North Sea and Baltic Sea

  • We found interactive coupling most important during winter when strong winds force a tight coupling between the atmosphere and the deeper ocean layer

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Summary

Introduction

Interactive air Á sea coupling is applied more and more in regional high-resolution modelling. Any climate change signal penetrates from a (global) model where atmospheric variability is modulated by the coupled oceanÁatmosphere system into a (regional) model that assumes the stochastic atmospheric variability to be independent from internal ocean modes These reasons promote the idea of applying the interactively coupling technique in regional models. As a first step to answer the aforementioned questions, we here present the newly developed interactively coupled ocean-atmosphere GCM RCA4/NEMO (hereafter referred to as NEMO-Nordic) applied on 48-yr hindcast simulations We use this model to assess the interactive coupling impacts on the mean present-day climatology in the North Sea/Baltic Sea, and how the dynamic behaviour is influenced by the coupling. This may lead to differences in the performance of the models

Experimental set-up
Brief description of the study area
Artificial perturbation experiments
Local anomaly
Basin wide anomaly
Lateral boundary anomaly
Winter
Summer
Short-term interannual variability
Long-term variations
Findings
Discussion and summary
Full Text
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