Coupled data assimilation and parameter estimation in coupled ocean–atmosphere models: a review
- 22 May 2020
- journal article
- research article
- Published by Springer Nature in Climate Dynamics
- Vol. 54 (11-12), 5127-5144
- https://doi.org/10.1007/s00382-020-05275-6
Abstract
No abstract availableKeywords
Funding Information
- National Key R&D Program of China (2017YFC1404100)
- National Key R&D Program of China (2017YFC1404102)
- National Natural Science Foundation of China (41775100, 41830964, 51379049, 41676088)
This publication has 112 references indexed in Scilit:
- Simulated Climate and Climate Change in the GFDL CM2.5 High-Resolution Coupled Climate ModelJournal of Climate, 2012
- Flow‐dependent background‐error covariances for a convective‐scale data assimilation systemQuarterly Journal of the Royal Meteorological Society, 2011
- Development and testing of a coupled ocean–atmosphere mesoscale ensemble prediction systemOcean Dynamics, 2011
- Impact of observation-optimized model parameters on decadal predictions: Simulation with a simple pycnocline prediction modelGeophysical Research Letters, 2011
- Specifying Air-Sea Exchange Coefficients in the High-Wind Regime of a Mature Tropical Cyclone by an Adjoint Data Assimilation MethodSOLA, 2010
- System Design and Evaluation of Coupled Ensemble Data Assimilation for Global Oceanic Climate StudiesMonthly Weather Review, 2007
- Global ocean circulation during 1992–1997, estimated from ocean observations and a general circulation modelJournal of Geophysical Research: Oceans, 2002
- Data assimilation by an intermediate coupled ocean‐atmosphere model: Application to the 1997–1998 El NiñoJournal of Geophysical Research: Oceans, 2000
- The impact of sea level data assimilation on the Lamont Model Prediction of the 1997/98 El NiñoGeophysical Research Letters, 1998
- Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statisticsJournal of Geophysical Research: Oceans, 1994