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 …
Observational needs for improving ocean and coupled reanalysis, S2S prediction, and decadal prediction
Developments in observing system technologies and ocean data assimilation (DA) are
symbiotic. New observation types lead to new DA methods and new DA methods, such as …
symbiotic. New observation types lead to new DA methods and new DA methods, such as …
Ocean kinetic energy backscatter parametrization on unstructured grids: Impact on global eddy‐permitting simulations
In this study we demonstrate the potential of a kinetic energy backscatter scheme for use in
global ocean simulations. Ocean models commonly employ (bi) harmonic eddy viscosities …
global ocean simulations. Ocean models commonly employ (bi) harmonic eddy viscosities …
Ocean kinetic energy backscatter parametrizations on unstructured grids: Impact on mesoscale turbulence in a channel
We present a new energy backscatter parametrization for primitive equation ocean models
at eddy-permitting resolution, specifically for unstructured grids. Traditional eddy …
at eddy-permitting resolution, specifically for unstructured grids. Traditional eddy …
[HTML][HTML] Ensemble quantification of short-term predictability of the ocean dynamics at a kilometric-scale resolution: a Western Mediterranean test case
We investigate the predictability properties of the ocean dynamics using an ensemble of
short-term numerical regional ocean simulations forced by prescribed atmospheric …
short-term numerical regional ocean simulations forced by prescribed atmospheric …
A new stochastic ocean physics package and its application to hybrid‐covariance data assimilation
A Storto, P Andriopoulos - Quarterly Journal of the Royal …, 2021 - Wiley Online Library
Generating optimal perturbations is a key requirement of several data assimilation schemes.
Here, we present a newly developed stochastic physics package for ocean models …
Here, we present a newly developed stochastic physics package for ocean models …
Progress towards a probabilistic Earth system model: examining the impact of stochasticity in the atmosphere and land component of EC-Earth v3. 2
K Strommen, HM Christensen… - Geoscientific Model …, 2019 - gmd.copernicus.org
We introduce and study the impact of three stochastic schemes in the EC-Earth climate
model: two atmospheric schemes and one stochastic land scheme. These form the basis for …
model: two atmospheric schemes and one stochastic land scheme. These form the basis for …
Improved teleconnection between Arctic sea ice and the North Atlantic Oscillation through stochastic process representation
K Strommen, S Juricke, F Cooper - Weather and Climate …, 2022 - wcd.copernicus.org
The extent to which interannual variability in Arctic sea ice influences the mid-latitude
circulation has been extensively debated. While observational data support the existence of …
circulation has been extensively debated. While observational data support the existence of …
Diagnosing, modeling, and testing a multiplicative stochastic Gent-McWilliams parameterization
A depth-independent isotropic Gent-McWilliams (GM) transport parameter κ is diagnosed
from an idealized eddy-resolving primitive equation simulation. The optimal depth …
from an idealized eddy-resolving primitive equation simulation. The optimal depth …
Parameterizing the Impact of Unresolved Temperature Variability on the Large‐Scale Density Field: Part 1. Theory.
Unresolved temperature and salinity fluctuations interact with a nonlinear seawater equation
of state to produce significant errors in the ocean model evaluation of the large‐scale …
of state to produce significant errors in the ocean model evaluation of the large‐scale …