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Preparing CMOR for CMIP6 and other WCRP Projects

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Presentation on theme: "Preparing CMOR for CMIP6 and other WCRP Projects"— Presentation transcript:

1 Preparing CMOR for CMIP6 and other WCRP Projects
Charles Doutriaux and Karl E. Taylor Presented at the 4th Annual ESGF & UV-CDAT Meeting Livermore, CA 11 December 2014

2 Outline What is CMOR (the Climate Model Output Rewriter)?
What changes are planned?

3 Why CMOR? PCMDI and now WCRP advocate adoption of common standards/conventions for the: Structure and format of climate data Metadata used to describe climate data Vocabulary used for categorizing the diversity of model output Standardization enables/facilitates Automation in the preparation of model output Analysis by researchers using uniform methods for reading and interpreting data unique identification of files sharing of data across the ESGF network But model output stored in native formats following a diversity of approaches must be “translated” into the standard form CMOR was written to facilitate this.

4 What is CMOR? CMOR is a library of C functions which facilitate/enforce compliance with MIP requirements. Includes interface to both Fortran and python code CMOR was designed to be adapted to the different metadata requirements of each “model intercomparison project” (e.g., CFMIP, HTAP, PMIP) Most of the CMIP3 and CMIP5 output served by ESGF was processed through CMOR. CMOR has been key to ensuring uniformity across all models

5 Project-specific CMOR tables facilitate and ensure consistency of model output from contributing groups Proper specification of coordinate and variable attributes, including: Correct standard names and units Use of a common time coordinate model (with flexibility) Required dimensions (but with different grids allowed) A capability to Reorder axis order Reverse axis direction (or translate longitude dimension) Convert units (through udunits)

6 What standards does CMOR ensure compliance with?
netCDF – ( CF Conventions – provides for standardized description of data contained in a file ( Data Reference Syntax (DRS) – defines vocabulary used in uniquely identifying MIP datasets and specifying file and directory names ( CMIP output requirements – specify the data structure and metadata requirements for CMIP data (cmip-

7 CMOR flags common errors, including
Pointing out when required metadata are omitted. Rejecting incorrect metadata (wrong units, inadmissible attribute values, etc.) Rejecting inconsistent coordinate dimensions passed by user to CMOR. Rejecting non-monotonic coordinate values or inconsistent boundary values, as passed by user. Rejecting values that are clearly unrealistic (likely indicating improper units conversion or incorrect sign).

8 CMOR history Original CMOR used in CMIP3 CMOR-2 used in CMIP5
Written in FORTRAN 95. accommodated only data stored on cartesian longitude-latitude grids. CMOR-2 used in CMIP5 CMOR’s structure and functions were largely unchanged. Written in C (with FORTRAN 95 and python interfaces) Can write output on model “native” grids that are not cartesian longitude-latitude. Station data (needed, for example, by the HTAP project), including metadata for station names and station locations Regional model output handled smoothly. Relies on netCDF-4 (rather than NetCDF-3), which provides for automated compression.

9 What is planned for CMOR-3?
Generalization to better handle a wider range of model output and observational data. CMOR was developed (and to a certain extent “hard-wired” to meet modeling needs Some of the attributes written by CMOR don’t apply to observations (e.g., model name, experiment name) Modifications are needed to simplify the reconfiguration of the input tables for each new MIP. Modularization of the CMOR input tables, separating Project-specific metadata from Variable information

10 What needs to be done for CMIP6?
Write and release CMOR-3 Generate new CMOR tables Allowing additional required global attributes? (e.g., version info.) Recognizing CMIP6 controlled vocabulary Including any new requested variables. Provide more complete QC information to CMOR (e.g., valid max and min for each field) Modularize the CMOR input tables to separately specify Project-specific information List of variables and their metadata

11 For further information:
Issues Documentation


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