Seasonal Prediction of Arctic Sea Ice Extent from a Coupled Dynamical Forecast System

By Wanqiu Wang, Mingyue Chen, Arun Kumar. 2013

154 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/b6a083374171644bd92fc50e0f565951ba2b28d2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Ed Hawkins
2. Jonny Day
3. Steffen Tietsche

In Global and Planetary Change

1. Ed Hawkins
2. Jonny Day
3. Steffen Tietsche

Citations in the corpus

• Will Arctic sea ice thickness initialization improve seasonal forecast skill? (2014, methodology): “…initialized sea ice seasonal prediction systems based on general circulation models (GCMs) [e.g., Sigmond et al. , 2013; Chevallier et al. , 2013; Wang et al. , 2013], compared in Guemas et al. [2014a], as well as systems based on empirical methods [e.g., Schröder et al. , 2014; Stroeve et al. ,…”
• Improving (2018, unknown): “…(Wang et al., 2013; Vitart et al., 2017; Blockley and Peterson, 2018; Kimmritz et al., 2019; Wang et al., 2019; Bushuk et al., 2024) .”