Zobrazeno 1 - 10
of 678
pro vyhledávání: '"David A. Randall"'
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 5, Pp n/a-n/a (2024)
Abstract It has been suggested that the Atlantic meridional overturning circulation (AMOC) in many CMIP6 models is overly sensitive to anthropogenic aerosol forcing, and it has been proposed that this is due to the inclusion of aerosol indirect effec
Externí odkaz:
https://doaj.org/article/a495c650de784eab853356475aae7e65
Autor:
Guangxing Lin, L. Ruby Leung, Jungmin Lee, Bryce E. Harrop, Ian T. Baker, Mark D. Branson, A. Scott Denning, Christopher R. Jones, Mikhail Ovchinnikov, David A. Randall, Zhao Yang
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 2, Pp n/a-n/a (2023)
Abstract Representing subgrid variabilities of land surface processes and their upscaled effects is crucial for global climate modeling. Here, we implement a multiple atmosphere multiple land (MAML) framework in the superparamaterized version of E3SM
Externí odkaz:
https://doaj.org/article/69c6eaf7500f402d954ec7e990c031c2
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 11, Pp 3497-3520 (2019)
Abstract We have investigated the predictability of precipitation using a new configuration of the superparameterized Community Atmosphere Model (SP‐CAM). The new configuration, called the multiple‐instance SP‐CAM, or MP‐CAM, uses the average
Externí odkaz:
https://doaj.org/article/3d33c1643248437b93e0f15870afe7a1
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 11, Pp 3521-3544 (2019)
Abstract The cloud‐permitting model (CPM) of the superparameterized Community Atmosphere Model (SP‐CAM) is a stochastic parameterization. As reported in a companion paper, we have created a variant of SP‐CAM, called MP‐CAM, that uses the aver
Externí odkaz:
https://doaj.org/article/d09b7156a1bc433d9fb6386a29fce952
Autor:
Ian T. Baker, A.Scott Denning, Don A. Dazlich, Anna B. Harper, Mark D. Branson, David A. Randall, Morgan C. Phillips, Katherine D. Haynes, Sarah M. Gallup
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 8, Pp 2523-2546 (2019)
Abstract Tropical South America plays a central role in global climate. Bowen ratio teleconnects to circulation and precipitation processes far afield, and the global CO2 growth rate is strongly influenced by carbon cycle processes in South America.
Externí odkaz:
https://doaj.org/article/4e4932d8459042f88ffd80fdfa75f874
Autor:
Casey R. Patrizio, David A. Randall
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 7, Pp 1995-2019 (2019)
Abstract A 3‐D cloud‐resolving model has been used to investigate the domain size dependence of simulations of convective self‐aggregation (CSA) in radiative‐convective equilibrium. We investigate how large a domain is needed to allow multipl
Externí odkaz:
https://doaj.org/article/4c06e761558f436d838066bef575096b
Autor:
Gabriel J. Kooperman, Michael S. Pritchard, Melissa A. Burt, Mark D. Branson, David A. Randall
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 8, Iss 4, Pp 1727-1750 (2016)
Abstract Changes in the character of rainfall are assessed using a holistic set of statistics based on rainfall frequency and amount distributions in climate change experiments with three conventional and superparameterized versions of the Community
Externí odkaz:
https://doaj.org/article/2ec00e2c65de46458e04bda6c7d100b6
Autor:
Sita N. Shah, Tobias B-A. Knausenberger, Matthew G. Pontifex, Emily Connell, Gwénaëlle Le Gall, Tom A.J. Hardy, David W. Randall, Kieran McCafferty, Muhammad M. Yaqoob, Egle Solito, Michael Müller, Andrew V. Stachulski, Robert C. Glen, David Vauzour, Lesley Hoyles, Simon McArthur
Publikováno v:
Gut Microbes, Vol 16, Iss 1 (2024)
The gut microbiota-brain axis has been associated with the pathogenesis of numerous disorders, but the mechanism(s) underlying these links are generally poorly understood. Accumulating evidence indicates the involvement of gut microbe-derived metabol
Externí odkaz:
https://doaj.org/article/d6bdaa576bba439e836ebf1f2764a8de
Publikováno v:
South African Journal of Science, Vol 110, Iss 9/10, Pp 12-12 (2014)
Recent advances in supercomputing have made feasible the numerical integration of high-resolution cloud-resolving models (CRMs). CRMs are being used increasingly for high-resolution operational numerical weather prediction and for research purposes.
Externí odkaz:
https://doaj.org/article/26380d2a630f45738a849cb80e8e7314
Autor:
David W. Randall, Julius Kieswich, Lesley Hoyles, Kieran McCafferty, Michael Curtis, Muhammed M. Yaqoob
Publikováno v:
Journal of the American Society of Nephrology. 34:533-553