Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kirsten J Mayer"'
Autor:
Marybeth C Arcodia, Elizabeth A Barnes, Kirsten J Mayer, Jiwoo Lee, Ana Ordonez, Min-Seop Ahn
Publikováno v:
Environmental Research: Climate, Vol 2, Iss 4, p 045002 (2023)
Identifying predictable states of the climate system allows for enhanced prediction skill on the generally low-skill subseasonal timescale via forecasts with higher confidence and accuracy, known as forecasts of opportunity. This study takes a neural
Externí odkaz:
https://doaj.org/article/2df06d3a3e7341678c2f0fc1378d4e0c
Autor:
Christopher D. Wirz, Carly Sutter, Julie L. Demuth, Kirsten J. Mayer, William E. Chapman, Mariana Goodall Cains, Jacob Radford, Vanessa Przybylo, Aaron Evans, Thomas Martin, Lauriana C. Gaudet, Kara Sulia, Ann Bostrom, David John Gagne II, Nick Bassill, Andrea Schumacher, Christopher Thorncroft
Publikováno v:
Earth and Space Science, Vol 11, Iss 7, Pp n/a-n/a (2024)
Abstract Artificial intelligence (AI) and machine learning (ML) pose a challenge for achieving science that is both reproducible and replicable. The challenge is compounded in supervised models that depend on manually labeled training data, as they i
Externí odkaz:
https://doaj.org/article/e829cabd53eb47d19b26de2fe0d6faa8
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 10, Pp n/a-n/a (2024)
Abstract Here we explore the relative contribution of the Madden‐Julian Oscillation (MJO) and El Niño Southern Oscillation (ENSO) to midlatitude subseasonal predictive skill of upper atmospheric circulation over the North Pacific, using an inheren
Externí odkaz:
https://doaj.org/article/45867afd71d34beb9e0ffc4e8927d3b0