Parameter estimation using data assimilation in an atmospheric general circulation model: From a perfect toward the real world | Zendy

Schirber Sebastian | Zendy; Klocke Daniel | Zendy; Pincus Robert | Zendy; Quaas Johannes | Zendy; Anderson Jeffrey L. | Zendy

Open Access

Parameter estimation using data assimilation in an atmospheric general circulation model: From a perfect toward the real world

Author(s) -

Schirber Sebastian,

Klocke Daniel,

Pincus Robert,

Quaas Johannes,

Anderson Jeffrey L.

Publication year - 2013

Publication title -

journal of advances in modeling earth systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.03

H-Index - 58

ISSN - 1942-2466

DOI - 10.1029/2012ms000167

Subject(s) - data assimilation , general circulation model , kalman filter , ensemble kalman filter , meteorology , climate model , atmospheric model , atmospheric circulation , estimation theory , convection , circulation (fluid dynamics) , environmental science , numerical weather prediction , estimation , atmospheric models , computer science , mathematics , climatology , atmospheric sciences , extended kalman filter , climate change , algorithm , geology , atmosphere (unit) , mechanics , physics , artificial intelligence , oceanography , management , economics

Key Points Objective parameter estimation using Ensemble Kalman Filter techniques Cumulus‐convection scheme of an atmospheric general circulation model Applying numerical weather prediction techniques to a climate model

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