Factors that could cause Blizzard Entertainment's actual future results to differ materially from those expressed in the forward - looking statements set forth in this release include, but are not limited to, sales of Blizzard Entertainment's titles, shifts in consumer spending trends, the
seasonal and cyclical nature of the interactive game market, Blizzard Entertainment's ability to
predict consumer preferences among competing hardware platforms (including next - generation hardware), declines in software pricing, product returns and price protection, product delays, retail acceptance of Blizzard Entertainment's products, adoption rate and availability of new hardware and related software, industry competition, rapid changes in technology and industry standards, protection of proprietary rights, litigation against Blizzard Entertainment, maintenance of relationships with key personnel, customers, vendors and third - party developers, domestic and international economic, financial and political
conditions and policies, foreign exchange rates, integration of recent acquisitions and the identification of suitable future acquisition opportunities, Activision Blizzard's success in integrating the operations of Activision Publishing and Vivendi Games in a timely manner, or at all, and the combined company's ability to realize the anticipated benefits and synergies of the transaction to the extent, or in the timeframe, anticipated.
A smaller multiyear ice area in the Arctic Ocean means that the sea ice summer extent is more sensitive to weather
conditions during summer and thus more difficult to
predict using statistical regression analysis since
seasonal weather forecasts are not reliable.
He says there's a slight chance of below - normal temperatures in eastern Interior and Southeast Alaska, and he
predicts relatively normal
seasonal conditions elsewhere around the state.
Most studies on ice predictability have used a perfect - model approach, in which a climate model is used to
predict conditions simulated by that model, and have focused on
seasonal to interannual predictability (e.g., Holland et al., 2011; Blanchard - Wrigglesworth et al., 2011; Chevallier and Salas - Melia, 2012).