System Design and Evaluation of Coupled Ensemble Data Assimilation for Global Oceanic Climate Studies
By Shaoqing Zhang, M. Harrison, A. Rosati, Andrew T. Wittenberg. 2007
403 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/5000d6eac46a1ae9a674925d6f860618c44a85ad
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Gabriel Vecchi
- L. Harris
- Shian‐Jiann Lin
- I. Held
- A. Rosati
- Shaoqing Zhang
- Andrew T. Wittenberg
- T. Delworth
In Global and Planetary Change
- Gabriel Vecchi
- Shian‐Jiann Lin
- L. Harris
- A. Rosati
- Shaoqing Zhang
- Andrew T. Wittenberg
- I. Held
- T. Delworth
Citations in the corpus
- An assessment of oceanic variability for 1960–2010 from the GFDL ensemble coupled data assimilation (2013, methodology): “As we previously noted, NODC is not exactly independent dataset for the validation of the ECDA, but it is objective analyzed product with a mapping and QC algorithm to make gridded dataset.”
- Strongly Coupled Data Assimilation Using Leading Averaged Coupled Covariance (LACC). Part I: Simple Model Study* (2015, methodology): “The WCDA has been adopted in previous researches (Zhang et al. 2007; Sugiura et al. 2008; Saha et al. 2010), however, the study of the SCDA has remained in the exploration stage.”
- Statistical–Dynamical Predictions of Seasonal North Atlantic Hurricane Activity (2011, methodology): “1 forecast experiments is set using a state-of-the-art coupled (ocean–atmosphere) ensemble Kalman filter (EnKF) assimilation system, which incorporates the observed oceanic and atmospheric states available prior to the initiation of the forecast run (Zhang et al. 2007).”
- SPEAR: The Next Generation GFDL Modeling System for Seasonal to Multidecadal Prediction and Projection (2020, methodology): “The seasonal to decadal predictions are initialized using the output of an Ensemble Coupled Data Assimilation system (S. Zhang et al., 2007).”
- Probabilistic Seasonal Forecasts in the North American Multimodel Ensemble: A Baseline Skill Assessment (2016, neutral): “1 (Zhang et al. 2007), NCAR-CCSM4 (B. Kirtman et al. 2015, unpublished manuscript), and NASA-GEOS5 (Vernieres et al. 2012) (Table 1).”
- A coupled data assimilation system for climate reanalysis (2016, neutral): “1 (Zhang et al., 2007).”