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E3SM Diagnostics Package Updates

A modern, Python-based tool for evaluating earth system models. Features include customization, easy installation and execution, fast processing, provenance capture, and more.

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E3SM Diagnostics Package Updates

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  1. E3SM Diagnostics Package Updates (e3sm_diags) Chengzhu (Jill) Zhang, ZeshawnShaheen and Chris Golaz LLNL March 19, 2019

  2. Overview • A modern, Python-based tool for evaluating earth system models. • Modeled after NCAR’s AMWG diagnostics package: current version is used to compare seasonal and annual mean climatology in model vs model and model vs obs. cases. • Features: • Highly customizable: Flexible to add new data/ modify figures • Easy installation, configuration, and execution. • Runs fast using multi-processing . • Provenance captures: save configuration files, environment and exact command line for reproducing a figure. • Maintain an updated observational data repository. • A community tool: it can accommodate CMIP convention via Derived variable dictionary Example output on Nersc

  3. Version 1.6.0 release (Feb 2019) • E3sm_diags now supports time series input (monthly data of multiple years saved in one file per each variable) to have climatology computed during runtime. • Users are able to specify the time slices for model vs model and model vs obs diagnostics runs. • Both NCO-generated E3SM time series files and archived CMIP-compliant time series files can be used as input files. • New quick start guide for NERSC Cori. • Major code refactor for reading in data and getting variables. • Scripts added for creating the time series and climatology files for the observational data. • User-facing instances of "acme" are replaced with "e3sm".

  4. Running E3SM Diagnostics • Running via containers (beginning v1.5.0): Containerization technology allows a process and its dependencies to run in isolation. • Simplify installation process; Avoid unexpected installation failure; Easier to distribute the software across machines. • Run with a container on NERSC Edison/Cori: • Download the container and auxiliary script. • Run using: e3sm_diags_container.py --shifter -p params.py *Docker, and Shifter (NERSC) supported. Singularity (ALCF and others) working, awaiting documentation and release. • Installing via Anaconda: Works on any machine with Anaconda installed. • wget https://raw.githubusercontent.com/E3SM-Project/e3sm_diags/master/conda/e3sm_diags_env.yml • condaenvcreate -fe3sm_diags_env.yml • e3sm_diags -p params.py • Available from e3sm_unified environment and processflow tool

  5. Example Use Cases • Documentation website (https://e3sm-project.github.io/acme_diags) • Example with climatology file as input: • Model vs Obs • Model vs Model • Example with time-series files as input: • Model vs Model • Model vs Obs Works for E3SM output monthly time series (processed using NCO) or any CMIP style model monthly time series (Input data requirement)

  6. Data sets Adding to the list: CORE_v2, ERS for surface wind stress Data to be Updated: CRU_IPCC for surface air temperature, cloud simulators related[COSP]

  7. New development: regional mean time series • Surface air temperature trend • analysis over specified regions • (Historical DECK simulation) • Multiple reference data sets • Useful for precipitation, • TOA radiation fluxes, clouds, etc.

  8. New development: vector fields for wind • Include both lat-lon and polar • Better quality arrows • Include both CORE v2 and ERS • data sets for wind stress

  9. Path forward • Keep track with feature requests from simulation groups: • A set of simple metrics water cycle (water availability, SST…) (water cycle group) • New BGC variables with suggested analysis data (BGC) • Diagnostics focus on south ocean (Cryosphere) • Phenomenon-based, process-oriented diagnostics for convection (NGD Atmosphere) • Developer’s Guide for entraining developers. • Precipitation extremes and ENSO teleconnection from Salil • Infrastructure tasks: • Reconstruct viewer • Consolidate analysis data • User support and maitanance

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