Zobrazeno 1 - 10
of 12 944
pro vyhledávání: '"P. A. Ullrich"'
Autor:
J. Lee, P. J. Gleckler, M.-S. Ahn, A. Ordonez, P. A. Ullrich, K. R. Sperber, K. E. Taylor, Y. Y. Planton, E. Guilyardi, P. Durack, C. Bonfils, M. D. Zelinka, L.-W. Chao, B. Dong, C. Doutriaux, C. Zhang, T. Vo, J. Boutte, M. F. Wehner, A. G. Pendergrass, D. Kim, Z. Xue, A. T. Wittenberg, J. Krasting
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 3919-3948 (2024)
Systematic, routine, and comprehensive evaluation of Earth system models (ESMs) facilitates benchmarking improvement across model generations and identifying the strengths and weaknesses of different model configurations. By gauging the consistency b
Externí odkaz:
https://doaj.org/article/6639d864335f43f3a737714a9a480d2e
Autor:
J. L. Willson, K. A. Reed, C. Jablonowski, J. Kent, P. H. Lauritzen, R. Nair, M. A. Taylor, P. A. Ullrich, C. M. Zarzycki, D. M. Hall, D. Dazlich, R. Heikes, C. Konor, D. Randall, T. Dubos, Y. Meurdesoif, X. Chen, L. Harris, C. Kühnlein, V. Lee, A. Qaddouri, C. Girard, M. Giorgetta, D. Reinert, H. Miura, T. Ohno, R. Yoshida
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 2493-2507 (2024)
This paper describes and analyzes the Reed–Jablonowski (RJ) tropical cyclone (TC) test case used in the 2016 Dynamical Core Model Intercomparison Project (DCMIP2016). This intermediate-complexity test case analyzes the evolution of a weak vortex in
Externí odkaz:
https://doaj.org/article/14fedd18218f4abdb9584d2403e501a8
Autor:
A. S. Donahue, P. M. Caldwell, L. Bertagna, H. Beydoun, P. A. Bogenschutz, A. M. Bradley, T. C. Clevenger, J. Foucar, C. Golaz, O. Guba, W. Hannah, B. R. Hillman, J. N. Johnson, N. Keen, W. Lin, B. Singh, S. Sreepathi, M. A. Taylor, J. Tian, C. R. Terai, P. A. Ullrich, X. Yuan, Y. Zhang
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 7, Pp n/a-n/a (2024)
Abstract The new generation of heterogeneous CPU/GPU computer systems offer much greater computational performance but are not yet widely used for climate modeling. One reason for this is that traditional climate models were written before GPUs were
Externí odkaz:
https://doaj.org/article/2c744bdea7a74ab8a4f9aef22b16b7a0
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 3927-3951 (2023)
As the resolution of global Earth system models increases, regional-scale evaluations are becoming ever more important. This study presents a framework for quantifying precipitation distributions at regional scales and applies it to evaluate Coupled
Externí odkaz:
https://doaj.org/article/5f6ab30ff8d84a3dbeb2536d2ab7784f
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
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 3699-3722 (2023)
This study analyzes the quality of simulated historical precipitation across the contiguous United States (CONUS) in a 12 km Weather Research and Forecasting model version 4.2.1 (WRF v 4.2.1)-based dynamical downscaling of the fifth-generation ECMWF
Externí odkaz:
https://doaj.org/article/5ea0d6450c33461eb7e3381a183991ec
Autor:
D. H. Marsico, P. A. Ullrich
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 1537-1551 (2023)
Monotonicity is an important property of remapping operators for coupled weather and climate models. However, it is often challenging to design highly accurate operators that avoid the generation of new extrema or keep a remapped field between physic
Externí odkaz:
https://doaj.org/article/fcae78dd77a34e90910f6d540f919994
Autor:
C. Zhang, J.-C. Golaz, R. Forsyth, T. Vo, S. Xie, Z. Shaheen, G. L. Potter, X. S. Asay-Davis, C. S. Zender, W. Lin, C.-C. Chen, C. R. Terai, S. Mahajan, T. Zhou, K. Balaguru, Q. Tang, C. Tao, Y. Zhang, T. Emmenegger, S. Burrows, P. A. Ullrich
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 9031-9056 (2022)
The E3SM Diagnostics Package (E3SM Diags) is a modern, Python-based Earth system model (ESM) evaluation tool (with Python module name e3sm_diags), developed to support the Department of Energy (DOE) Energy Exascale Earth System Model (E3SM). E3SM Dia
Externí odkaz:
https://doaj.org/article/8a0bb98608db43218b6ae2bd5ca2a55d
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 4, Pp n/a-n/a (2023)
Abstract In this paper, we introduce a testbed for evaluating and comparing climate modeling systems at cloud resolving scales using hindcasts of the June 2012 North American derecho. To demonstrate its utility for model intercomparison, the testbed
Externí odkaz:
https://doaj.org/article/85de5dc99e314d6585f6ee2263727efd
Accurately determining the shape and location of internal structures within deformable objects is crucial for medical tasks that require precise targeting, such as robotic biopsies. We introduce LUDO, a method for accurate low-latency understanding o
Externí odkaz:
http://arxiv.org/abs/2411.08777
