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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In the absence of a full deterministic modelling of small-scalerainfall, it is common practice to resort to the use of stochasticdownscaling models to generate ensemble rainfall predictions to beused as inputs to rainfall-runoff models. Here we present anapplication of a novel spatial-temporal downscaling procedurebased on a non-linear transformation of a linearly correlated(gaussian) field. This procedure allows for reproducing thescaling properties (if any) of the rainfall pattern and it can beeasily linked with meteorological forecasts produced by limitedarea meteorological models

Stochastic downscaling of LAM predictions: an example in the Mediterranean area