Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Claudio Heinrich-Mertsching"'
Autor:
Masilin Gudoshava, George Otieno, Eunice Koech, Herbert Misiani, Jemimah Gacheru Ongoma, Claudio Heinrich-Mertsching, Calistus Wachana, Hussen Seid Endris, Anthony Mwanthi, Mary Kilavi, Emmah Mwangi, Andrew Colman, Douglas Parker, Joseph Nzau Mutemi, Paula Machio, Paulino Omoj Omay, Paul Ombai, Doreen Anande, Alfred Kondowe, Isaac Mugume, Prosper Ayabagabo, Houda Youssouf Houssein, Mahado Salah Waiss, Bekele Abeshu, Ezechiel Kayoya, Mohamud Nor Sharawe, Titike Bahaga, Martin Todd, Zewdu Segele, Zachary Atheru, Guleid Artan
Publikováno v:
Frontiers in Climate, Vol 6 (2024)
The Greater Horn of Africa is prone to extreme climatic conditions, thus, making climate services increasingly important in supporting decision-making processes across a range of climate sensitive sectors. This study aims to provide a comprehensive r
Externí odkaz:
https://doaj.org/article/c9c038785ceb4b5e84a211add08fb979
Autor:
Thea Roksvåg, Alex Lenkoski, Michael Scheuerer, Claudio Heinrich‐Mertsching, Thordis L. Thorarinsdottir
In the agricultural sector there is a high interest for forecasts that predict relevant agroclimatic indicators related to heat accumulation and frost characteristics. The forecasts can simplify agricultural decisions related to planting and harvest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4806d41cbf0b3131289c8f2369c11358
https://doi.org/10.5194/egusphere-egu22-7005
https://doi.org/10.5194/egusphere-egu22-7005
Publikováno v:
Biometrika.
Statistical functionals are called elicitable if there exists a loss or scoring function under which the functional is the optimal point forecast in expectation. While the mean and quantiles are elicitable, it has been shown in Heinrich (2014) that t