Detection of external influence on sea level pressure with a multi-model ensemble
نویسندگان
چکیده
[1] Over the past fifty years, December–February mean sea level pressure has decreased markedly over both poles, corresponding to a trend toward strengthened westerlies in both hemispheres. In this study we compare observed sea level pressure trends with those simulated in response to natural and anthropogenic influence in a suite of eight upto-date coupled general circulation models. A global analysis indicates that sea level pressure trends may be attributed to external influence. However, while simulated Southern Hemisphere sea level pressure trends are consistent with those observed, simulated Northern Hemisphere sea level pressure trends are not: Observations show a large negative trend in the Arctic and a positive trend over the subtropical North Atlantic and Mediterranean which is not reproduced in the simulations. Citation: Gillett, N. P., R. J. Allan, and T. J. Ansell (2005), Detection of external influence on sea level pressure with a multi-model ensemble, Geophys. Res. Lett., 32, L19714, doi:10.1029/2005GL023640.
منابع مشابه
Enhanced Predictions of Tides and Surges through Data Assimilation (TECHNICAL NOTE)
The regional waters in Singapore Strait are characterized by complex hydrodynamic phenomena as a result of the combined effect of three large water bodies viz. the South China Sea, the Andaman Sea, and the Java Sea. This leads to anomalies in water levels and generates residual currents. Numerical hydrodynamic models are generally used for predicting water levels in the ocean and seas. But thei...
متن کاملA Pre-Trained Ensemble Model for Breast Cancer Grade Detection Based on Small Datasets
Background and Purpose: Nowadays, breast cancer is reported as one of the most common cancers amongst women. Early detection of the cancer type is essential to aid in informing subsequent treatments. The newest proposed breast cancer detectors are based on deep learning. Most of these works focus on large-datasets and are not developed for small datasets. Although the large datasets might lead ...
متن کاملMulti-model attribution of upper-ocean temperature changes using an isothermal approach
Both air-sea heat exchanges and changes in ocean advection have contributed to observed upper-ocean warming most evident in the late-twentieth century. However, it is predominantly via changes in air-sea heat fluxes that human-induced climate forcings, such as increasing greenhouse gases, and other natural factors such as volcanic aerosols, have influenced global ocean heat content. The present...
متن کاملThe Analysis and modeling of widespread anomalies of rainfall in entire West of Iran in relation with the behaviors of Mediterranean Pressure centers
Climate control centers in each area are diverse and understanding how they relate to the atmospheric components of the Earth's surface contribute to prediction of climate fluctuations. In this study, by using Pearson's correlation and multivariate regression in a thirty-year period (1961-2010), the relationship between widespread rainfall anomalies in entire of Iran west with temperature a...
متن کاملInfluence of local and remote SST on North Atlantic tropical cyclone potential intensity
We examine the role of local and remote sea surface temperature (SST) on the tropical cyclone potential intensity in the North Atlantic using a suite of model simulations, while separating the impact of anthropogenic (external) forcing and the internal influence of Atlantic Multidecadal Variability. To enable the separation by SST region of influence we use an ensemble of global atmospheric cli...
متن کامل