BUCKET OBSERVATIONS OF SEA-SURFACE TEMPERATURES

Robust comparison of climate models with observations using blended land air and ocean sea surface temperatures

North Australian Sea Surface Temperatures and the El Niño–Southern Oscillation in Observations and Models

Interannual variations in the sea surface temperature (SST) to the north of Australia are strongly linked to variations in Australian climate, including winter rainfall and tropical cyclone numbers. The north Australian SSTs are also closely linked to ENSO and tropical Pacific SSTs, with the relationship exhibiting a strong seasonal cycle. Credible predictions of Australian climate change there...

Investigation of Geostrophic and Ekman Surface Current Using Satellite Altimetry Observations and Surface Wind in Persian Gulf and Oman Sea

The rise of satellite altimetry is a revolution in the ocean sciences. Due to its global coverage and its high resolution, altimetry classically outperforms in situ water level measurement. Ekman and geostrophic currents are large parts of the ocean’s current, playing a vital role in global climate variations. According to the classic oceanography, Ekman and geostrophic currents can be calculat...

AMO-like variations of holocene sea surface temperatures

AMO-like variations of holocene sea surface temperatures in the North Atlantic Ocean S. Feng, Q. Hu, and R. J. Oglesby School of Natural Resources and Department of Geosciences, University of Nebraska-Lincoln, Lincoln, NE 68583-0987, USA Received: 4 November 2009 – Accepted: 30 November 2009 – Published: 11 December 2009 Correspondence to: S. Feng ([email protected]) Published by Copernicus Public...

Bayesian peA for Reconstruction of Historical Sea Surface Temperatures

In this work, reconstructions of historical global sea surface temperatures (SST) are performed using Bayesian principal component analysis (PCA). Two PCA models are examined: a model with isotropic noise and a model which takes into account data uncertainty due to sampling errors. Inference is done by variational Bayesian learning. The methods are compared with a more traditional technique, re...