Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Edwin P. Gerber"'
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 19, Pp n/a-n/a (2024)
Abstract Atmospheric blocking is characterized by persistent anticyclones that “block” the midlatitude jet stream, causing temperature and precipitation extremes. The traffic jam theory posits that blocking events occur when the Local Wave Activi
Externí odkaz:
https://doaj.org/article/efd13df922dd42e1945ff0a4211fc302
Autor:
David S. Connelly, Edwin P. Gerber
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 7, Pp n/a-n/a (2024)
Abstract We train random and boosted forests, two machine learning architectures based on regression trees, to emulate a physics‐based parameterization of atmospheric gravity wave momentum transport. We compare the forests to a neural network bench
Externí odkaz:
https://doaj.org/article/22fa5035297a448bb6ec870afc68b4dd
Autor:
Y. Qiang Sun, Hamid A. Pahlavan, Ashesh Chattopadhyay, Pedram Hassanzadeh, Sandro W. Lubis, M. Joan Alexander, Edwin P. Gerber, Aditi Sheshadri, Yifei Guan
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 7, Pp n/a-n/a (2024)
Abstract Neural networks (NNs) are increasingly used for data‐driven subgrid‐scale parameterizations in weather and climate models. While NNs are powerful tools for learning complex non‐linear relationships from data, there are several challeng
Externí odkaz:
https://doaj.org/article/890df17483a04e0384f4632b2962bbe7
Publikováno v:
AGU Advances, Vol 4, Iss 2, Pp n/a-n/a (2023)
Abstract Extreme weather events have significant consequences, dominating the impact of climate on society. While high‐resolution weather models can forecast many types of extreme events on synoptic timescales, long‐term climatological risk asses
Externí odkaz:
https://doaj.org/article/767e92b091794c078a1ff1d8c09c42c6
Autor:
Chaim I. Garfinkel, Edwin P. Gerber, Ofer Shamir, Jian Rao, Martin Jucker, Ian White, Nathan Paldor
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 14, Iss 3, Pp n/a-n/a (2022)
Abstract An intermediate complexity moist general circulation model is used to investigate the sensitivity of the quasi‐biennial oscillation (QBO) to resolution, diffusion, tropical tropospheric waves, and parameterized gravity waves. Finer horizon
Externí odkaz:
https://doaj.org/article/6ed5c59568c648589e887bafcd18505d
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 9, Pp 2862-2867 (2019)
Abstract The atmospheric circulation response to global warming is important for accurate prediction of climate change on regional scales. For the midlatitudes, shifts in the extratropical jet streams have important consequences for precipitation, bl
Externí odkaz:
https://doaj.org/article/52ede5de51994eaba908d034f10e9cf9
Publikováno v:
Journal of the Atmospheric Sciences. 80:519-534
Atmospheric regime transitions are highly impactful as drivers of extreme weather events, but pose two formidable modeling challenges: predicting the next event (weather forecasting), and characterizing the statistics of events of a given severity (t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e66dd21cfc2c06535f605330d40e410
https://doi.org/10.1175/jas-d-21-0213.1
https://doi.org/10.1175/jas-d-21-0213.1
Publikováno v:
Journal of the Atmospheric Sciences.
Much of our conceptual understanding of midlatitude atmospheric motion comes from two-layer quasi-geostrophic (QG) models. Traditionally, these QG models don’t include moisture, which accounts for an estimated 30-60% of the available energy of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c67f7bff36afedf4355482b24aad0cf9
https://doi.org/10.1175/jas-d-22-0215.1
https://doi.org/10.1175/jas-d-22-0215.1
Autor:
Aman Gupta, Marianna Linz, Jezabel Curbelo, Olivier Pauluis, Edwin P. Gerber, Douglas E. Kinnison
Publikováno v:
Journal of Geophysical Research: Atmospheres. 128
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de24efc2690b9e8a4181dd4dfa6f2fdf
https://doi.org/10.1029/2022jd037712
https://doi.org/10.1029/2022jd037712
Autor:
Jiuxin Shi, Lei Geng, Minghu Ding, Xiaojun Yuan, Zhaomin Wang, John Turner, Changhyun Yoo, Weijun Sun, Guojian Wang, Cecilia M. Bitz, Qinghua Ding, Xi Liang, Stephen Price, Xichen Li, Marika M. Holland, Cunde Xiao, Paul R. Holland, Matthew A. Lazzara, Bingyi Wu, Wenju Cai, David H. Bromwich, Chuanjin Li, Ryan L. Fogt, Gerald A. Meehl, Dake Chen, B. R. Markle, Xiao Cheng, Edwin P. Gerber, Tingfeng Dou, Chentao Song, Xianyao Chen, Sharon Stammerjohn, Xin-Yue Wang, Shang-Ping Xie, Sarah T. Gille, Marilyn N. Raphael, Hugues Goosse, Chengyan Liu, Eric J. Steig, David M. Holland, Meijiao Xin
Publikováno v:
Nature Reviews Earth & Environment, p. 19 (2021)
Author(s): Li, X; Cai, W; Meehl, GA; Chen, D; Yuan, X; Raphael, M; Holland, DM; Ding, Q; Fogt, RL; Markle, BR; Wang, G; Bromwich, DH; Turner, J; Xie, SP; Steig, EJ; Gille, ST; Xiao, C; Wu, B; Lazzara, MA; Chen, X; Stammerjohn, S; Holland, PR; Holland
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::307405290539428d94f2112e4c598909
https://doi.org/10.1038/s43017-021-00204-5
https://doi.org/10.1038/s43017-021-00204-5