Results 21 to 30 of about 505 (141)
Representing Cloud Mesoscale Variability in Superparameterized Climate Models
AbstractIn atmospheric modeling, superparameterization (SP) has gained popularity as a technique to improve cloud and convection representations in large‐scale models by coupling them locally to cloud‐resolving models. We show how the different representations of cloud water in the local and the global models in SP lead to a suppression of cloud ...
Fredrik Jansson +6 more
openaire +3 more sources
Superparameterized (SP) global climate models have been shown to better simulate various features of precipitation relative to conventional models, including its diurnal cycle as well as its extremes.
Alexander B. Charn +4 more
doaj +1 more source
In this study, the Superparameterized Community Atmosphere Model (SPCAM) is used to simulate tropical cyclones (TCs) using the hindcast approach. Three hindcast experiments are conducted with 32‐km (D32), 128‐km (D128), and 1,024‐km (D1024) horizontal ...
Kuan‐Ting Kuo +2 more
doaj +1 more source
Predictive Proxies of Present and Future Lightning in a Superparameterized Model [PDF]
AbstractA superparameterized climate model is used to assess the global performance of several previously proposed proxies for lightning. In particular, predictors incorporating hydrometeor (ice, graupel) profiles and convective vertical velocities are compared to observations, then used to estimate changes in flash rates with global warming.
Alexander B. Charn, Hossein Parishani
openaire +1 more source
Understanding the Response of Tropical Ascent to Warming Using an Energy Balance Framework
Previous work has established that warming is associated with an increase in dry static stability, a weakening of the tropical circulation, and a decrease in the convective mass flux.
A. M. Jenney +2 more
doaj +1 more source
Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High-Resolution Simulations [PDF]
Climate projections continue to be marred by large uncertainties, which originate in processes that need to be parameterized, such as clouds, convection, and ecosystems. But rapid progress is now within reach.
Lan, Shiwei +3 more
core +2 more sources
Coarse-graining of overdamped Langevin dynamics via the Mori-Zwanzig formalism [PDF]
The Mori–Zwanzig formalism is applied to derive an equation for the evolution of linear observables of the overdamped Langevin equation. To illustrate the resulting equation and its use in deriving approximate models, a particular benchmark example is ...
Hudson, Thomas E. (Edward) +1 more
core +1 more source
Sensitivity of Coupled Tropical Pacific Model Biases to Convective Parameterization in CESM1
Six month coupled hindcasts show the central equatorial Pacific cold tongue bias development in a GCM to be sensitive to the atmospheric convective parameterization employed.
M. D. Woelfle +3 more
doaj +1 more source
Multi-resolution Low-rank Tensor Formats
We describe a simple, black-box compression format for tensors with a multiscale structure. By representing the tensor as a sum of compressed tensors defined on increasingly coarse grids, we capture low-rank structures on each grid-scale, and we show how
Karaman, Sertac, Mickelin, Oscar
core +1 more source
Stochastic representation of the Reynolds transport theorem: revisiting large-scale modeling [PDF]
We explore the potential of a formulation of the Navier-Stokes equations incorporating a random description of the small-scale velocity component.
Harouna, S. Kadri, Mémin, E.
core +5 more sources

