Coupled data assimilation and parameter estimation in coupled ocean–atmosphere models: a review
S Zhang, Z Liu, X Zhang, X Wu, G Han, Y Zhao, X Yu… - Climate Dynamics, 2020 - Springer
Recent studies have started to explore coupled data assimilation (CDA) in coupled ocean–
atmosphere models because of the great potential of CDA to improve climate analysis and …
atmosphere models because of the great potential of CDA to improve climate analysis and …
Combined state-parameter estimation with the LETKF for convective-scale weather forecasting
Y Ruckstuhl, T Janjić - Monthly Weather Review, 2020 - journals.ametsoc.org
We investigate the feasibility of addressing model error by perturbing and estimating
uncertain static model parameters using the localized ensemble transform Kalman filter. In …
uncertain static model parameters using the localized ensemble transform Kalman filter. In …
Toward a data assimilation system for seamless sea ice prediction based on the AWI climate model
This paper describes and evaluates the assimilation component of a seamless sea ice
prediction system, which is developed based on the fully coupled Alfred Wegener Institute …
prediction system, which is developed based on the fully coupled Alfred Wegener Institute …
Bayesian inference of spatially varying Manning's n coefficients in an idealized coastal ocean model using a generalized Karhunen-Loève expansion and polynomial …
Bayesian inference with coordinate transformations and polynomial chaos for a Gaussian
process with a parametrized prior covariance model was introduced in Sraj et al.(Comput …
process with a parametrized prior covariance model was introduced in Sraj et al.(Comput …
[HTML][HTML] A new energy-balance approach to linear filtering for estimating effective radiative forcing from temperature time series
DP Cummins, DB Stephenson… - Advances in Statistical …, 2020 - ascmo.copernicus.org
Reliable estimates of historical effective radiative forcing (ERF) are important for
understanding the causes of past climate change and for constraining predictions of future …
understanding the causes of past climate change and for constraining predictions of future …
[PDF][PDF] A new energy-balance approach to linear filtering for estimating radiative forcing from temperature time series
D Cummins, DB Stephenson, PA Stott - 2020 - ore.exeter.ac.uk
Reliable estimates of historical effective radiative forcing (ERF) are important for
understanding the causes of past climate change and for constraining predictions of future …
understanding the causes of past climate change and for constraining predictions of future …
[PDF][PDF] Towards a data assimilation system for seamless sea ice
Sea ice prediction over seasonal time scale has attracted the focus from both the 37
scientific and socioeconomic communities recently. We develop a system aiming for seam …
scientific and socioeconomic communities recently. We develop a system aiming for seam …