Planned Reanalysis Workshops

Mike Bosilovich

US Climate Reanalyses and Integrated Earth System Analysis

• Sponsored by USCLIVAR– 2000 US Reanalysis workshop - Univ Maryland.– 2004 1st CLIVAR Workshop on Ocean Reanalysis - Boulder– 2006, 2007, 2008: CLIVAR/GODAE ocean syntheses evaluation

(ECMWF, MIT, JAMSTEC)

• Provide some guidance to program management

• Focus on new reanalysis systems (CFSR, 20C and MERRA), observations and the Earth system (Nov 1-3, 2010, Baltimore MD)

USCLIVAR Reanalysis Workshop Objectives

• Connect users and developers in discussions of strengths and weaknesses

• An opportunity for weather and climate users to demonstrate applications and accuracy requirements

• Develop quantitative metrics (diagnostics) for Integrated Earth System development

• Discuss the definitions and goals for Integrated Earth System Analysis

Technical Workshop on Reanalyses• April 5-7, 2010 NASA/GSFC• Invitation only hosted by the Global Modeling and

Assimilation Office (GMAO) with representatives from ECMWF, JMA, NCEP, ESRL and NCAR

• Objectives– To review the current status of reanalyses and the

lessons learned– Identify the primary technical issues (from

assimilation system and observation perspectives) that need to be addressed or that will be addressed in the next reanalyses

Main Agenda • Status and lessons learned from MERRA, ERA-

Interim, JRA-25/55, CFSR, 20CR• Technical issues – Observations– Cross-calibration of satellites – Homogenization of radiosondes– Data sources – keeping up to date with the latest

versions of data– Quality Control

• Technical issues – Analysis• Technical issues – Model

Planning for the next round of Reanalyses

• What will be new? Coupled analyses?• Mechanisms for sharing information– Coordinated experimentation, comparison of innovation

diagnostics, etc– Shared data, QC– What is the role of PCMDI in reanalyses comparisons,

standard diagnostics? E.g. CMIP validation data and diagnostics

• Understanding model response to analyses– Sensitivity of reanalyses to the changing observing system– Uncertainty of analyses