Stochastic weather and climate models
TN Palmer - Nature Reviews Physics, 2019 - nature.com
Although the partial differential equations that describe the physical climate system are
deterministic, there is an important reason why the computational representations of these …
deterministic, there is an important reason why the computational representations of these …
Future global climate: scenario-based projections and near-term information
This chapter assesses simulations of future global climate change, spanning time horizons
from the near term (2021–2040), mid-term (2041–2060), and long term (2081–2100) out to …
from the near term (2021–2040), mid-term (2041–2060), and long term (2081–2100) out to …
[HTML][HTML] Stochastic parameterization: Toward a new view of weather and climate models
Stochastic Parameterization: Toward a New View of Weather and Climate Models in:
Bulletin of the American Meteorological Society Volume 98 Issue 3 (2017) Jump to Content …
Bulletin of the American Meteorological Society Volume 98 Issue 3 (2017) Jump to Content …
Machine learning for stochastic parameterization: Generative adversarial networks in the Lorenz'96 model
DJ Gagne, HM Christensen… - Journal of Advances …, 2020 - Wiley Online Library
Stochastic parameterizations account for uncertainty in the representation of unresolved
subgrid processes by sampling from the distribution of possible subgrid forcings. Some …
subgrid processes by sampling from the distribution of possible subgrid forcings. Some …
[HTML][HTML] The benefits of global high resolution for climate simulation: process understanding and the enabling of stakeholder decisions at the regional scale
MJ Roberts, PL Vidale, C Senior… - Bulletin of the …, 2018 - journals.ametsoc.org
The Benefits of Global High Resolution for Climate Simulation: Process Understanding and the
Enabling of Stakeholder Decisions at the Regional Scale in: Bulletin of the American …
Enabling of Stakeholder Decisions at the Regional Scale in: Bulletin of the American …
Impact of stochastic physics and model resolution on the simulation of tropical cyclones in climate GCMs
The role of model resolution in simulating geophysical vortices with the characteristics of
realistic tropical cyclones (TCs) is well established. The push for increasing resolution …
realistic tropical cyclones (TCs) is well established. The push for increasing resolution …
A multiscale model for El Niño complexity
Abstract El Niño-Southern Oscillation (ENSO) exhibits diverse characteristics in spatial
pattern, peak intensity, and temporal evolution. Here we develop a three-region multiscale …
pattern, peak intensity, and temporal evolution. Here we develop a three-region multiscale …
Quantifying the predictability of ENSO complexity using a statistically accurate multiscale stochastic model and information theory
An information theory–based framework is developed to assess the predictability and
quantify the forecast uncertainty of ENSO complexity, which includes different types of ENSO …
quantify the forecast uncertainty of ENSO complexity, which includes different types of ENSO …
Generative data‐driven approaches for stochastic subgrid parameterizations in an idealized ocean model
P Perezhogin, L Zanna… - Journal of Advances in …, 2023 - Wiley Online Library
Subgrid parameterizations of mesoscale eddies continue to be in demand for climate
simulations. These subgrid parameterizations can be powerfully designed using physics …
simulations. These subgrid parameterizations can be powerfully designed using physics …
Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in the EC-Earth global climate model
The Climate SPHINX (Stochastic Physics HIgh resolutioN eXperiments) project is a
comprehensive set of ensemble simulations aimed at evaluating the sensitivity of present …
comprehensive set of ensemble simulations aimed at evaluating the sensitivity of present …