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

The scarcity of tropical cyclone data causes the difficulty of external force estimation for coastal structures. The Stochastic Tropical cyclone Model (STM) is a useful method for overcoming this problem. We developed a global STM based on IBTrACS dataset and validated the model performance for statistics of tropical cyclone data. After that, the future change estimated from 8 different General Circulation Model projections under global warming scenarios was implemented in the STM. By using the STM, we estimated the future cyclone number and magnitude quantitatively.

Global Stochasic Tropical Cyclone Modeling and Application to Analysis of Future Cyclone Properties due to Global Climate Change