Matthew Newman

Snapchat, TikTok and Google's YouTube received information requests today under the EU's Digital Services Act, about how their recommender systems

All Californians should have access to the care they need, when they need it, at a price they can afford. Californians with low incomes often face greater barriers to care than those with higher incomes. Californians with Low Incomes provides data based on the 2022 California Health Interview Survey. This quick reference guide, available below, […]

WhatsApp's admissibility challenge at the EU's top court against a major Irish data protection enforcement will be heard on Nov. 26 at the Luxembourg-based court, MLex understands.

Chinese e-commerce platform Temu must respond to questions from the European Commission about its compliance with the EU's content-moderation rules, which impose product-safety obligations on platforms.

Orange could be fined up to 85 million euros ($92.8 million) for alleged violations of French rules on managing cookies, MLex has learned.

A coalition of companies involved in the car industry want EU officials to make a proposal for vehicle-data access rules a priority for the first 100 days of the European Commission's new mandate.

Telia Finland and Sanoma Media Finland must change how they seek users' consent for cookies, after a court last week rejected their appeals against a regulator's decisions.

This article is from MLex's new AI regulation news service. To follow all the latest developments in AI regulation around the world visit MLex AI.

Abstract Climate models exhibit errors in their simulation of historical trends of variables including sea surface temperature, winds, and

Recent studies have shown that potential predictability and actual forecast skill have varied throughout the historical record, primarily due to natural decadal variability. In this study, we explore whether and how potential predictability are projected to change in the future as a distinct response to anthropogenic climate change. We estimate the potential predictability of the El Niño-Southern Oscillation (ENSO) as well as global surface temperature, precipitation, and upper atmospheric circulation anomalies from 1921-2100, within a perfect model framework, using five coupled model large ensembles. We find that historical and projected ENSO amplitude changes generate global scale shifts in climate predictability via ENSO-driven changes in the signal-to-noise ratio of seasonal forecasts, with a 10% change in Nino3.4 standard deviation leading to a 14% change in globally averaged forecast skill at 12-month lead. This relationship suggests that potential predictability changes across much of the globe in the coming decades could be linked to anthropogenic climate change of ENSO. However, since current models substantially disagree on the sign and intensity of projected ENSO change, the trajectory of future global predictability changes cannot yet be determined. This problem is demonstrated by widely varying predictability changes seen across the five large ensembles, with models exhibiting a robust increase, robust decrease, or no significant change in predictability, depending upon their respective projected ENSO amplitude trends. Our results highlight the need for climate model development aimed at better capturing past forced and unforced changes to ENSO variability, which is necessary (if not sufficient) to constrain projected changes to climate predictability worldwide.