Detecting potential changes in the meridional overturning circulation at 26◦N in the Atlantic
نویسندگان
چکیده
We analyze the ability of an oceanic monitoring array to detect potential changes in the North Atlantic meridional overturning circulation (MOC). The observing array is ‘deployed’ into a numerical model (ECHAM5/MPI-OM), and simulates the measurements of density and wind stress at 26◦N in the Atlantic. The simulated array mimics the continuous monitoring system deployed in the framework of the UK Rapid Climate Change program. We analyze a set of three realizations of a climate change scenario (IPCC A1B), in which – within the considered time-horizon of 200 years – the MOC weakens, but does not collapse. For the detection analysis, we assume that the natural variability of the MOC is known from an independent source, the control run. Our detection approach accounts for the effects of observation errors, infrequent observations, autocorrelated internal variability, and uncertainty in the initial conditions. Continuous observation with the simulated array for approximately 60 years yields a statistically significant (p < 0.05) detection with 95 percent reliability assuming a random observation error of 1 Sv (1 Sv = 106 m3 s−1). Observing continuously with an observation error of 3 Sv yields a detection time of about 90 years (with 95 percent reliability). Repeated hydrographic transects every 5 years/ 20 years result in a detection time of about 90 years/120 years, with 95 percent reliability and an assumed observation error of 3 Sv. An observation error of 3 Sv (one standard deviation) is a plausible estimate of the observation error associated with the RAPID UK 26◦N array.
منابع مشابه
Mechanisms of Atlantic Meridional Overturning Circulation variability simulated by the NEMO model
We have investigated mechanisms for the Atlantic Meridional Overturning Circulation (AMOC) variability at 26.5 N (other than the Ekman component) that can be related to external forcings, in particular wind variability. Resolution dependence is studied using identical experiments with 1 and 1/4 NEMO model runs over 1960–2010. The analysis shows that much of the variability in the AMOC at 26 N c...
متن کاملA novel transport assimilation method for the Atlantic Meridional Overturning Circulation at 26◦N
One of the prerequisites for achieving skill in decadal climate prediction is to successfully initialise and predict the circulation in the Atlantic Ocean. The RAPID array measures the Atlantic Meridional Overturning Circulation (MOC) at 26◦N. Here we develop a method to include these observations in the UK Met Office Decadal Prediction System (DePreSys). The proposed method uses covariances of...
متن کاملMultiyear prediction of monthly mean Atlantic Meridional Overturning Circulation at 26.5°N.
Attempts to predict changes in Atlantic Meridional Overturning Circulation (AMOC) have yielded little success to date. Here, we demonstrate predictability for monthly mean AMOC strength at 26.5°N for up to 4 years in advance. This AMOC predictive skill arises predominantly from the basin-wide upper-mid-ocean geostrophic transport, which in turn can be predicted because we have skill in predicti...
متن کاملMountain ranges favour vigorous Atlantic meridional overturning
[1] We use a global Ocean-Atmosphere General Circulation Model (OAGCM) to show that the major mountain ranges of the world have a significant role in maintenance of the Atlantic Meridional Overturning Circulation (AMOC). A simulation with mountains has a maximum AMOC of 18 Sv (1 Sv = 10 m s ) compared with 0 Sv for a simulation without mountains. Atlantic heat transport at 25°N is 1.1 PW with m...
متن کاملPotential predictability of rapid changes in the Atlantic meridional overturning circulation
[1] We explore the potential predictability of rapid changes in the Atlantic meridional overturning circulation (MOC) using a coupled global climate model (HadCM3). Rapid changes in the temperature and salinity of surface water in the Nordic Seas, and the flow of dense water through Denmark Strait, are found to be precursors to rapid changes in the model’s MOC, with a lead time of around 10 yea...
متن کامل