Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

State Key Laboratory of Severe Weather

Institution data

TypeFACILITY (active)
CountryBeijing, CN
Works2
Researchers1
Coverage2023 - 2024
ROR03d2yag39
OpenAlexI4391767927
Also known asState Key Lab of Severe Weather; State Key Laboratory of Severe Weather; 灾害天气国家重点实验室
  • Improvement of disastrous extreme precipitation forecasting in North China by Pangu-weather AI-driven regional WRF model

    Open Access•Hongxiong Xu, Yang Zhao et al.•ARTICLE•Environmental Research Letters•2024

  • Quantitative attribution of historical anthropogenic warming on the extreme rainfall event over Henan in July 2021

    Open Access•Dajun Zhao, Hongxiong Xu et al.•ARTICLE•Environmental Research Letters•2023

  • Improvement of disastrous extreme precipitation forecasting in North China by Pangu-weather AI-driven regional WRF model

    Open Access•Hongxiong Xu, Yang Zhao et al.•ARTICLE•Environmental Research Letters•2024

  • Quantitative attribution of historical anthropogenic warming on the extreme rainfall event over Henan in July 2021

    Open Access•Dajun Zhao, Hongxiong Xu et al.•ARTICLE•Environmental Research Letters•2023

  • Quantitative attribution of historical anthropogenic warming on the extreme rainfall event over Henan in July 2021

    Open Access•Dajun Zhao, Hongxiong Xu et al.•ARTICLE•Environmental Research Letters•2023

  • Improvement of disastrous extreme precipitation forecasting in North China by Pangu-weather AI-driven regional WRF model

    Open Access•Hongxiong Xu, Yang Zhao et al.•ARTICLE•Environmental Research Letters•2024

ARTICLE2
20241
20231
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae