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Community Coordinated Modeling Center Mission Statement

The CCMC is a multi-agency partnership to enable, support and perform the research and development for next-generation space science and space weather models.

International Forum for SW Capabilities Assessment

Take part in the International Forum for Space Weather Capabilities Assessment by joining a working team. The forum aims to address the challenges in model-data comparisons and evaluate the current state of space environment predictive capabilities. >>Forum info | Forum TEAMS and TOPICS

Space Weather REDI bootcamp 2018

A weeklong summer Space Weather REDI bootcamp will be held on June 4-8, 2018 at NASA GSFC. It will acquaint participants with the basics of space weather forecasting and include hands-on forecasting exercises. Find out more about the SW REDI initative and register to attend the bootcamp early as spaces are limited.

2018 internships at NASA

CCMC provides multiple summer internship opportunities in 2018. Undergraduate students majoring in physics and astronomy and wishing to become space weather forecasters can apply for the 2018 summer space weather forecasting internship with the CCMC (held at NASA, GSFC). There are also internships for students interested in software development. Application deadline for these internships is March 3, 2018. Find out more about our educational initatives.

CCMC at the 14th European Space Weather Week

Three working teams (3D CME Kinematics, CME arrival time, IMF Bz at L1) from the International Forum for SW Capabilities Assessment lead Topical Discussion Meetings at the 14th European Space Weather Week: Advance Predictions of Solar Wind Conditions at L1: Quantifying Performance. (agenda and materials). The radiation working teams were involved in a Topical Discussion Meeting: How to assess space environment models’ capability in satellite impact analysis. The ionosphere working teams were involved in Topical Discussion Meetings: Assessment of ionospheric prediction capabilities: challenges in data-model comparisons, Atmospheric Effects topical group meeting.

CEDAR Grand Challenge

CCMC is supporting the CEDAR Grand Challenge: Storms and Substorms Without Borders (SSWB). The CEDAR Grand Challenge Session was held in June at the 2017 CEDAR Workshop in Keystone, CO.
Click here to learn more

CEDAR-GEM Modeling Challenge

CEDAR-GEM Modeling Challenge Session was held in June at the 2017 CEDAR Workshop in Keystone, CO.
Click here to learn more

Mid-Tail Modeling Challenge

The CCMC has begun work on a modeling challenge to assess global MHD models' capability to predict large-scale and meso-scale dynamics of the mid-tail at 60 RE in response to the solar wind/IMF changes. Background information and presentations from the mid-tail modeling challenge session at the 2016 GEM Summer Workshop are available.
Find details here

ULF Modeling Challenge

The CCMC has begun work on a modeling challenge to assess global MHD models' capability to specify the ULF wave power distribution in the inner magnetosphere. Background information and presentations from the ULF modeling challenge session at the 2015 GEM Summer Workshop are available.
Find details here

Magnetopause Modeling Challenge

Work on the magnetopause modeling challenge resumed by applying methods developed for the Operational Geospace Model Validation (event-based skill scoring). In addition work has begun to identify events with multiple magnetopause crossings, either by a string of satellites (Cluster or Themis) or of satellites from different missions (DoubleStar, Themis, Geotail, ...). We selected events with quiet time solar wind or with shock impacts onto the magnetosphere.
Find details here

CCMC Services

  • We provide, to the scientific community, access to modern space research models
  • We test and evaluate models
  • We support Space Weather forecasters
  • We support space science education

CCMC begins collaboration with ESA’s SPENVIS Team

The CCMC is now collaborating with ESA’s SPace ENVironment Information System (SPENVIS) team to interlink space weather models and tools hosted by each group. Click here to learn more

New CCMC service: DONKI webservice API

New DONKI webservice API is now available for anyone who wants to obtain space weather events info stored in our database! Space Weather Database Of Notification, Knowledge, Information (DONKI) is an on-line tool for space weather forecasters, scientists, and the general space weather community. >>About Space Weather Database | DONKI webservice API | iSWA webservice API

SEP Scoreboard

CCMC is in the planning phase of a community "SEP scoreboard" together with BIRA-IASB and the UK Met Office. The scoreboard will show SEP forecasts from different types of models side-by-side. Click here to learn more or to join the planning.

Flare Scoreboard

CCMC, together with the UK Met Office, has developed the beta version of the community "flare scoreboard" which shows probabilistic flare forecasts from a variety of models. Click here to learn more.

CME Arrival Time Scoreboard

CME arrival time predictions from the research community The CME Scoreboard is a research-based forecasting methods validation activity which provides a central location for the community to:
  • submit their forecast in real-time
  • quickly view all forecasts at once in real-time
  • compare forecasting methods when the event has arrived

Runs on Request/Online Visualization changelog

View the log of changes/updates to the 3DView online visualization, as well as announcements regarding occasional correction/re-execution of past ROR requests. The most recent changes were:

  • Jan. 30, 2018

  • Positions in selected plots available: Positions are available in plots with a contour layer from 3D model data (generated by run_idl3d.cgi) and ionosphere electrodynamics (generated by run_iono2d.cgi). Positions are seen when hovering the mouse pointer inside the plot area(s) of the image and clicking saves them for future use.
  • Jan. 29, 2018

  • The title information entered by users for most simulation runs of the magnetosphere is now available. This applies to runs back to November 2011. The title data can now be used in sorting. The field will be added to the advanced search capability soon.
  • Jan. 11, 2018

  • Output files with field line positions and magnetic field output of the Tsyganenko instant run model became unavailable due to a change in the CCMC web site's configuration.
    The change was undone and the text files can again be accessed from the results page (tsyganenko_results.php).
  • Nov. 3, 2017

  • The Run-on-Request submission system for the Inner Magnetosphere (IM) models now includes the VERB radiation belt model.
    In addition, all RoR submission systems now perform more data type validation on user input. In the case that valid data are being rejected, please contact us so we can review and modify the offending rule.
  • Nov. 2, 2017

  • Run-on-Request visualizations for high-altitude outputs from the CTIPe model were erroneously offering the O/N2 density ratio that can only be calculated from the low-altitude outputs. The quantity has been removed from the visualization interfaces (run_idl3d.cgi, run_timeseries.cgi) for CTIPe runs requested during and after June, 2016 of high-altitude outputs of all CTIPe runs.
  • Nov. 1, 2017

  • The ModelWeb instant run script vitmo_model.cgi used for the MSIS-90, NRLMSISe00, IRI-2007, IRI-2012, and IGRF models has been modified to perform data type checks on user inputs. If you see an error message "invalid input variable detected" or "invalid input data detected." after submitting valid data, please contact us to correct the problem.
    Other pages in the cgi-bin/ directory tree (e.g., run_weimer.cgi, run_WINDMI.cgi, display/RTdisplay.cgi and other scripts in display) also have been upgraded and may display the same error messages.
National Aeronautics and Space Administration Air Force Materiel Command Air Force Office of Scientific Research Air Force Research Laboratory Air Force Weather Agency NOAA Space Environment Center National Science Foundation Office of Naval Research

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