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Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system

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TLDR
The UK Met Office Global Seasonal forecast system version 5 (GloSea5) as discussed by the authors was developed to forecast the major modes of variability and showed improved year-to-year predictions of the major variability.
Abstract
This article describes the UK Met Office Global Seasonal forecast system version 5 (GloSea5). GloSea5 upgrades include an increase in horizontal resolution in the atmosphere (N216–0.7°) and the ocean (0.25°), and implementation of a 3D-Var assimilation system for ocean and sea-ice conditions. GloSea5 shows improved year-to-year predictions of the major modes of variability. In the Tropics, predictions of the El Nino–Southern Oscillation are improved with reduced errors in the West Pacific. In the Extratropics, GloSea5 shows unprecedented levels of forecast skill and reliability for both the North Atlantic Oscillation and the Arctic Oscillation. We also find useful levels of skill for the western North Pacific Subtropical High which largely determines summer precipitation over East Asia.

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The quiet revolution of numerical weather prediction

TL;DR: As a computational problem, global weather prediction is comparable to the simulation of the human brain and of the evolution of the early Universe, and it is performed every day at major operational centres across the world.
Journal ArticleDOI

SEAS5: the new ECMWF seasonal forecast system

TL;DR: SEAS5 as discussed by the authors is the ECMWF's fifth generation seasonal forecast system, which became operational in November 2017 and includes upgraded versions of the atmosphere and ocean models at higher resolutions and adds a prognostic sea-ice model.
Journal ArticleDOI

Skilful predictions of the winter North Atlantic Oscillation one year ahead

TL;DR: The North Atlantic Oscillation profoundly influences European and North American winter weather. Dynamical model predictions now exhibit skill in prediction of the winter North Atlantic oscillation more than one year in advance as discussed by the authors.
References
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Journal ArticleDOI

Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century

TL;DR: HadISST1 as mentioned in this paper replaces the global sea ice and sea surface temperature (GISST) data sets and is a unique combination of monthly globally complete fields of SST and sea ice concentration on a 1° latitude-longitude grid from 1871.
Journal ArticleDOI

Statistical Methods in the Atmospheric Sciences

TL;DR: In this article, statistical methods in the Atmospheric Sciences are used to estimate the probability of a given event to be a hurricane or tropical cyclone, and the probability is determined by statistical methods.
Book

Statistical Methods in the Atmospheric Sciences

TL;DR: The second edition of "Statistical Methods in the Atmospheric Sciences, Second Edition" as mentioned in this paper presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting.
Journal ArticleDOI

The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present)

TL;DR: The Global Precipitation Climatology Project (GPCP) version 2 Monthly Precise Analysis as discussed by the authors is a merged analysis that incorporates precipitation estimates from low-orbit satellite microwave data, geosynchronous-orbit-satellite infrared data, and rain gauge observations.
Journal ArticleDOI

The Arctic oscillation signature in the wintertime geopotential height and temperature fields

TL;DR: The Arctic Oscillation (AO) as mentioned in this paper is the signature of modulations in the strength of the polar vortex aloft, and it resembles the NAO in many respects; but its primary center of action covers more of the Arctic, giving it a more zonally symmetric appearance.
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