Zobrazeno 1 - 8
of 8
pro vyhledávání: '"E. L. Roesler"'
Autor:
Q. Tang, J.-C. Golaz, L. P. Van Roekel, M. A. Taylor, W. Lin, B. R. Hillman, P. A. Ullrich, A. M. Bradley, O. Guba, J. D. Wolfe, T. Zhou, K. Zhang, X. Zheng, Y. Zhang, M. Zhang, M. Wu, H. Wang, C. Tao, B. Singh, A. M. Rhoades, Y. Qin, H.-Y. Li, Y. Feng, C. Zhang, C. S. Zender, S. Xie, E. L. Roesler, A. F. Roberts, A. Mametjanov, M. E. Maltrud, N. D. Keen, R. L. Jacob, C. Jablonowski, O. K. Hughes, R. M. Forsyth, A. V. Di Vittorio, P. M. Caldwell, G. Bisht, R. B. McCoy, L. R. Leung, D. C. Bader
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 3953-3995 (2023)
This paper provides an overview of the United States (US) Department of Energy's (DOE's) Energy Exascale Earth System Model version 2 (E3SMv2) fully coupled regionally refined model (RRM) and documents the overall atmosphere, land, and river results
Externí odkaz:
https://doaj.org/article/c74f48bbdf6b4f03a5dd135d9bc43a71
Autor:
Q. Tang, S. A. Klein, S. Xie, W. Lin, J.-C. Golaz, E. L. Roesler, M. A. Taylor, P. J. Rasch, D. C. Bader, L. K. Berg, P. Caldwell, S. E. Giangrande, R. B. Neale, Y. Qian, L. D. Riihimaki, C. S. Zender, Y. Zhang, X. Zheng
Publikováno v:
Geoscientific Model Development, Vol 12, Pp 2679-2706 (2019)
Climate simulations with more accurate process-level representation at finer resolutions ( km) are a pressing need in order to provide more detailed actionable information to policy makers regarding extreme events in a changing climate. Computation
Externí odkaz:
https://doaj.org/article/a37575a3f8ee408ca64259825fa21f79
Publikováno v:
Geoscientific Model Development, Vol 9, Iss 4, Pp 1383-1398 (2016)
This article discusses the problem of identifying extreme climate events such as intense storms within large climate data sets. The basic storm detection algorithm is reviewed, which splits the problem into two parts: a spatial search followed by a t
Externí odkaz:
https://doaj.org/article/0d26362b6556410782f665fd194f6cec
Autor:
Stephen A. Klein, Shaocheng Xie, Wuyin Lin, Charles S. Zender, Jean-Christophe Golaz, E. L. Roesler, Mark A. Taylor, David C. Bader, Laura Riihimaki, Yun Qian, X. Zheng, Philip J. Rasch, Richard Neale, Qi Tang, Yuying Zhang, Peter M. Caldwell, Scott E. Giangrande, Larry K. Berg
Publikováno v:
Geoscientific Model Development, Vol 12, Pp 2679-2706 (2019)
Climate simulations with more accurate process-level representation at finer resolutions ( km) are a pressing need in order to provide more detailed actionable information to policy makers regarding extreme events in a changing climate. Computation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dd19946f8226a6cb0db0e9473ebddff
https://doi.org/10.5194/gmd-12-2679-2019
https://doi.org/10.5194/gmd-12-2679-2019
Autor:
Wuyin Lin, Satoshi Endo, Scott Collis, X. Zheng, Jean-Christophe Golaz, Tao Zhang, Minghua Zhang, M. McChesney, Shaocheng Xie, Peter A. Bosler, B. R. Hillman, Robert Jackson, E. L. Roesler, Andrew M. Vogelmann
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28908021dcc896d084d97b9d3c8141b8
https://doi.org/10.2172/1557030
https://doi.org/10.2172/1557030
Publikováno v:
Geoscientific Model Development, Vol 9, Iss 4, Pp 1383-1398 (2016)
This article discusses the problem of identifying extreme climate events such as intense storms within large climate data sets. The basic storm detection algorithm is reviewed, which splits the problem into two parts: a spatial search followed by a t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbad38e448f2c13f85a605ac2ebca38f
http://www.geosci-model-dev.net/9/1383/2016/gmd-9-1383-2016.pdf
http://www.geosci-model-dev.net/9/1383/2016/gmd-9-1383-2016.pdf
This article discusses the problem of identifying extreme climate events such as intense storms within large climate data sets. The basic storm detection algorithm is reviewed, which splits the problem into two parts: a spatial search followed by a t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::485ce73a38fe1db3b69b3a7d384902e7
https://doi.org/10.5194/gmdd-8-7727-2015
https://doi.org/10.5194/gmdd-8-7727-2015
Autor:
Joyce E. Penner, E. L. Roesler
Publikováno v:
Geophysical Research Letters. 37
[1] The number of cloud droplets formed from a population of aerosols depends on the aerosol number concentration, NA, the size distribution, and the chemical composition. The cloud albedo effect occurs when increasing NA causes increases to the drop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb9c6364e25ac0187ff05dc6947f58cb
https://doi.org/10.1029/2010gl044282
https://doi.org/10.1029/2010gl044282