Results 41 to 50 of about 123 (82)

The Land‐Ocean Contrast in Deep Convective Intensity in a Global Storm‐Resolving Model

Journal of Advances in Modeling Earth Systems
Observations reveal a clear difference in the intensity of deep convection over tropical land and ocean. This observed land‐ocean contrast provides a natural benchmark for evaluating the fidelity of global storm‐resolving models (GSRMs; global models ...
Tristan H. Abbott, Nadir Jeevanjee, Kai‐Yuan Cheng, Linjiong Zhou, Lucas Harris   +4 more
doaj   +1 more source

Evaluating Mean State Cloud Properties in the Simple Cloud‐Resolving E3SM Atmosphere Model (SCREAM)

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 11, November 2025.
Abstract Accurately simulating clouds remains a key challenge in global climate models, primarily because cloud formation involves sub‐grid processes that are parameterized and crudely represented in models. This study examines the performance of DOE's Simple Cloud‐Resolving Energy Exascale Earth System (E3SM) Atmosphere Model (SCREAM) in simulating ...
Li‐Wei Chao, Mark D. Zelinka, Christopher R. Terai, Hassan Beydoun, Benjamin R. Hillman, Noel D. Keen, Peter M. Caldwell, Stephen A. Klein   +7 more
wiley   +1 more source

Radiative, Hydrologic, and Circulation Responses to Warming in Cess‐Potter Simulations Using the Global 3.25‐km SCREAM

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 10, October 2025.
Abstract Using the global 3.25‐km Simple Cloud Resolving E3SM Atmosphere Model (SCREAM 3 km), a pair of 13‐month Cess‐Potter simulations are performed to quantify the radiative feedbacks and the hydrologic and circulation responses to warming. Large‐scale aspects of SCREAM 3 km's top‐of‐atmosphere radiative fluxes, precipitation rates, and circulations
C. R. Terai, N. D. Keen, P. M. Caldwell, H. Beydoun, P. A. Bogenschutz, L.‐W. Chao, B. R. Hillman, H.‐Y. Ma, M. D. Zelinka, L. Bertagna, A. M. Bradley, T. C. Clevenger, A. S. Donahue, J. Foucar, J.‐C. Golaz, O. Guba, W. Hannah, J. Lee, W. Lin, N. Mahfouz, J. Mülmenstädt, A. G. Salinger, B. Singh, S. Sreepathi, Y. Qin, M. A. Taylor, P. A. Ullrich, W.‐Y. Wu, X. Yuan, C. S. Zender, Y. Zhang   +30 more
wiley   +1 more source

Comparing storm resolving models and climates via unsupervised machine learning. [PDF]

Sci Rep, 2023
Mooers G, Pritchard M, Beucler T, Srivastava P, Mangipudi H, Peng L, Gentine P, Mandt S.   +7 more
europepmc   +1 more source

Implicit learning of convective organization explains precipitation stochasticity. [PDF]

Proc Natl Acad Sci U S A, 2023
Shamekh S, Lamb KD, Huang Y, Gentine P.
europepmc   +1 more source

Object-Based Evaluation of Tropical Precipitation Systems in DYAMOND Simulations over the Maritime Continent

Journal of the Meteorological Society of Japan. Ser. II, 2022
Chun-Yian SU, Wei-Ting CHEN, Chien-Ming WU, Hsi-Yen MA   +3 more
openaire   +2 more sources

Editorial for the special edition on DYAMOND: The DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains

Journal of the Meteorological Society of Japan. Ser. II, 2021
STEVENS, Bjorn, SATOH, Masaki
openaire   +4 more sources

Journal Production Guidance for Software and Data Citations. [PDF]

Sci Data, 2023
Stall S, Bilder G, Cannon M, Chue Hong N, Edmunds S, Erdmann CC, Evans M, Farmer R, Feeney P, Friedman M, Giampoala M, Hanson RB, Harrison M, Karaiskos D, Katz DS, Letizia V, Lizzi V, MacCallum C, Muench A, Perry K, Ratner H, Schindler U, Sedora B, Stockhause M, Townsend R, Yeston J, Clark T.   +26 more
europepmc   +1 more source

Are general circulation models obsolete? [PDF]

Proc Natl Acad Sci U S A, 2022
Balaji V, Couvreux F, Deshayes J, Gautrais J, Hourdin F, Rio C.   +5 more
europepmc   +1 more source

Increasingly Sophisticated Climate Models Need the Out-Of-Sample Tests Paleoclimates Provide. [PDF]

J Adv Model Earth Syst, 2022
Burls N, Sagoo N.
europepmc   +1 more source