Simulating model uncertainty of subgrid-scale processes by sampling model errors at convective scales [PDF]
Nonlinear Processes in Geophysics, 2020 Ideally, perturbation schemes in ensemble forecasts should be based on the statistical properties of the model errors. Often, however, the statistical properties of these model errors are unknown. In practice, the perturbations are pragmatically modelled
M. Van Ginderachter +6 more
doaj +4 more sources
Assessing the Grell‐Freitas Convection Parameterization in the NASA GEOS Modeling System [PDF]
Journal of Advances in Modeling Earth Systems, 2018 We implemented and began to evaluate an alternative convection parameterization for the NASA Goddard Earth Observing System (GEOS) general circulation model (GCM).
Saulo R. Freitas +6 more
doaj +2 more sources
Phenomenology of convection-parameterization closure [PDF]
Atmospheric Chemistry and Physics, 2013 Closure is a problem of defining the convective intensity in a given parameterization. In spite of many years of efforts and progress, it is still considered an overall unresolved problem. The present article reviews this problem from phenomenological
J.-I. Yano +6 more
doaj +5 more sources
Stochastic parameterization: uncertainties from convection [PDF]
, 2011 In 2005, the ECMWF held a workshop on stochastic parameterisation, at which the convection was seen as being a key issue. That much is clear from the working group reports and particularly the statement from working group 1 that “it is clear that a ...
Keane, Richard John +3 more
core +2 more sources
Improving the representation of shallow cumulus convection with the simplified-higher-order-closure–mass-flux (SHOC+MF v1.0) approach [PDF]
Geoscientific Model Development, 2023 Parameterized boundary layer turbulence and moist convection remain some of the largest sources of uncertainty in general circulation models. High-resolution climate modeling aims to reduce that uncertainty by explicitly attempting to resolve deep moist ...
M. J. Chinita +11 more
doaj +1 more source
The Grell–Freitas (GF) convection parameterization: recent developments, extensions, and applications [PDF]
Geoscientific Model Development, 2021 Recent developments and options in the GF (Grell and Freitas, 2014; Freitas et al., 2018) convection parameterization are presented. The parameterization has been expanded to a trimodal spectral size to simulate three convection modes: shallow, congestus,
S. R. Freitas +4 more
doaj +1 more source
Parameterizing deep convection using the assumed probability density function method [PDF]
Geoscientific Model Development, 2015 Due to their coarse horizontal resolution, present-day climate models must parameterize deep convection. This paper presents single-column simulations of deep convection using a probability density function (PDF) parameterization.
R. L. Storer +7 more
doaj +1 more source
Tropical variability simulated in ICON-A with a spectral cumulus parameterization [PDF]
, 2020 We implemented a spectral cumulus parameterization based on a cloud-resolving model (SC scheme) in the icosahedral nonhydrostatic atmospheric model (ICON-A).
Baba, Y., Giorgetta, M.
core +2 more sources
Neural‐Network Parameterization of Subgrid Momentum Transport in the Atmosphere
Journal of Advances in Modeling Earth Systems, 2023 Attempts to use machine learning to develop atmospheric parameterizations have mainly focused on subgrid effects on temperature and moisture, but subgrid momentum transport is also important in simulations of the atmospheric circulation.
Janni Yuval, Paul A. O’Gorman
doaj +1 more source
Basic Theory Behind Parameterizing Atmospheric Convection [PDF]
Eos, Transactions American Geophysical Union, 2014 Last fall, a network of the European Cooperation in Science and Technology (COST), called “Basic Concepts for Convection Parameterization in Weather Forecast and Climate Models” (COST Action ES0905; see http://w3.cost.esf.org/index.php?id=205&action_number=ES0905), organized a 10‐day training course on atmospheric convection and its ...
R. S. Plant, Z. Fuchs, J. I. Yano
openaire +3 more sources