Zobrazeno 1 - 10
of 32
pro vyhledávání: '"William M Putman"'
Autor:
Mengchao Xu, Qian Liu, Dexuan Sha, Manzhu Yu, Daniel Q. Duffy, William M Putman, Mark Carroll, Tsengdar Lee, Chaowei Yang
Publikováno v:
Remote Sensing, Vol 12, Iss 6, p 1030 (2020)
Climate and weather data such as precipitation derived from Global Climate Models (GCMs) and satellite observations are essential for the global and local hydrological assessment. However, most climatic popular precipitation products (with spatial re
Externí odkaz:
https://doaj.org/article/e916dd2d23c04e2ca21634ab7f560a89
Autor:
Saulo R. Freitas, Georg A. Grell, Andrea Molod, Matthew A. Thompson, William M. Putman, Claudio M. Santos e Silva, Enio P. Souza
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 10, Iss 6, Pp 1266-1289 (2018)
Abstract We implemented and began to evaluate an alternative convection parameterization for the NASA Goddard Earth Observing System (GEOS) general circulation model (GCM). The proposed parameterization follows the mass flux approach with several clo
Externí odkaz:
https://doaj.org/article/5c9d74dfa7524643a529b6a841533021
Autor:
Randall V. Martin, Sebastian D. Eastham, Liam Bindle, Elizabeth W. Lundgren, Thomas L. Clune, Christoph A. Keller, William Downs, Dandan Zhang, Robert A. Lucchesi, Melissa P. Sulprizio, Robert M. Yantosca, Yanshun Li, Lucas Estrada, William M. Putman, Benjamin M. Auer, Atanas L. Trayanov, Steven Pawson, Daniel J. Jacob
We describe a new generation of the high-performance GEOS-Chem (GCHP) global model of atmospheric composition developed as part of the GEOS-Chem version 13 series. GEOS-Chem is an open-source grid-independent model that can be used online within a me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc6b709d76cf98edf87458a4f3783e0f
https://gmd.copernicus.org/articles/15/8731/2022/
https://gmd.copernicus.org/articles/15/8731/2022/
Autor:
Matthew J. Cooper, Benjamin M. Auer, Jintai Lin, Thomas Clune, Christoph A. Keller, William M. Putman, Steven Pawson, Lee T. Murray, Sebastian D. Eastham, Hongjian Weng, Liam Bindle, Elizabeth W. Lundgren, Jun Meng, Randall V. Martin, Daniel J. Jacob
Publikováno v:
Geoscientific Model Development, Vol 14, Pp 5977-5997 (2021)
Modeling atmospheric chemistry at fine resolution globally is computationally expensive; the capability to focus on specific geographic regions using a multiscale grid is desirable. Here, we develop, validate, and demonstrate stretched grids in the G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30538b01bcced5b1a2455f412144f107
https://gmd.copernicus.org/articles/14/5977/2021/gmd-14-5977-2021.pdf
https://gmd.copernicus.org/articles/14/5977/2021/gmd-14-5977-2021.pdf
Publikováno v:
Journal of the Meteorological Society of Japan. Ser. II. 98:1279-1304
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c91e049a122015889bb297e709cdcaa5
https://doi.org/10.2151/jmsj.2020-066
https://doi.org/10.2151/jmsj.2020-066
Publikováno v:
Climate Dynamics. 53:6523-6542
This study investigates the diurnal variation of the warm season precipitation simulated by the Goddard Earth Observing System version 5 atmospheric general circulation model for 2 years (2005–2006) at a horizontal resolution of 10 km. The simulati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3f43f69372e3eb26be72351b098a216
https://doi.org/10.1007/s00382-019-04943-6
https://doi.org/10.1007/s00382-019-04943-6
Autor:
Masaki Satoh, Marat Khairoutdinov, Shian-Jiann Lin, Peter Düben, Bjorn Stevens, William M. Putman, Falko Judt
Publikováno v:
Current Climate Change Reports
Purpose of Review: Global cloud-resolving models (GCRMs) are a new type of atmospheric model which resolve nonhydrostatic accelerations globally with kilometer-scale resolution. This review explains what distinguishes GCRMs from other types of models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6f000b94e9a3913e2142bb721adb0b5
https://doi.org/10.1007/s40641-019-00131-0
https://doi.org/10.1007/s40641-019-00131-0
Autor:
Chris Henze, Atanas Trayanov, Ehud Strobach, Chris Hill, Dimitris Menemenlis, Andrea Molod, Patrice Klein, Jean-Michel Campin, William M. Putman
During the past few years, the Goddard Earth Observing System (GEOS) and Massachusetts Institute of Technology general circulation model (MITgcm) groups have produced, respectively, global atmosphere-only and ocean-only simulations with km-scale grid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5772f38e688bee72dee1a3a321bd985f
https://doi.org/10.5194/egusphere-egu21-14947
https://doi.org/10.5194/egusphere-egu21-14947
Autor:
Joachim Biercamp, Xi Chen, Masaki Satoh, Cathy Hohenegger, Nils Wedi, Falko Judt, Chihiro Kodama, Ryosuke Shibuya, Linjiong Zhou, Daniel Klocke, Bjorn Stevens, Peter Düben, Benoit Vanniere, Niklas Röber, Pier Luigi Vidale, Florian Ziemen, Rosimar Rios-Berrios, Philipp Neumann, Ludovic Auger, Christopher S. Bretherton, Luis Kornblueh, William M. Putman, Masuo Nakano, Marat Khairoutdinov, Shian-Jiann Lin, Malcolm J. Roberts
Publikováno v:
Journal of the Meteorological Society of Japan. Ser. II
Journal of the Meteorological Society of Japan
Journal of the Meteorological Society of Japan
Recent progress in computing and model development has initiated the era of global storm-resolving modeling and with it the potential to transform weather and climate prediction. Within the general theme of vetting this new class of models, the prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d37f693d0534638e29106ff72bd3c4d
Publikováno v:
Geophysical Research Letters. 47
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a02715992e57cc52fba0f4a780b7c076
https://doi.org/10.1029/2020gl087682
https://doi.org/10.1029/2020gl087682