Abstract
Toward community resources for paleoclimate data assimilation, reanalysis, and proxy system modeling
Highlights
Friends and members of the Data Assimilation, Reanalysis and Proxy System Modeling (DAPS; pastglobalchanges.org/ daps) working group came together for a brief meeting to discuss activities and progress since our first meeting in Louvainela-Neuve, Belgium, in May 2017
By comparison with the methods used in the DAPS Data Assimilation Intercomparison Project (DAIP), we identified similarities and differences between operational online data assimilation (DA) for weather and seasonal forecasting, and offline assimilation, optimal interpolation and linear regression/transfer function approaches to paleoclimatic reconstruction (Hakim et al 2016; Franke et al 2017)
Proxy system modeling: spatial and structural considerations We reviewed results from two Data Model Intercomparison projects (DMIP) across sensors, archives, and model complexity
Summary
Friends and members of the Data Assimilation, Reanalysis and Proxy System Modeling (DAPS; pastglobalchanges.org/ daps) working group came together for a brief meeting to discuss activities and progress since our first meeting in Louvainela-Neuve, Belgium, in May 2017. Data assimilation for paleoenvironmental reconstruction: methods intercomparison Operational systems for weather to seasonal forecasting are modular and open platforms, allowing for automated quality control, rejection of nonconforming observations, assessment of stochastic parameterizations, uniform multivariate skill assessment, and assessment of novel approaches such as use of future forecasts (see schematic Fig. 1).
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