Open AccessParameter 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