English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

WeatherBench 2 is an update to the global, medium-range (1-14 day) weatherforecasting benchmark proposed by Rasp et al. (2020), designed with the aim toaccelerate progress in data-driven weather modeling. WeatherBench 2 consists ofan open-source evaluation framework, publicly available training, ground truthand baseline data as well as a continuously updated website with the latestmetrics and state-of-the-art models:https://sites.research.google/weatherbench. This paper describes the designprinciples of the evaluation framework and presents results for currentstate-of-the-art physical and data-driven weather models. The metrics are basedon established practices for evaluating weather forecasts at leadingoperational weather centers. We define a set of headline scores to provide anoverview of model performance. In addition, we also discuss caveats in thecurrent evaluation setup and challenges for the future of data-driven weatherforecasting.

WeatherBench 2: A benchmark for the next generation of data-driven global weather models