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MAPP Webinar Series: Model Infrastructure for Improved Model Performance and Interoperability

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The NOAA CPO Modeling, Analysis, Prediction, and Projections (MAPP) program will host a webinar on the topic of Model Infrastructure for Improved Model Performance and Interoperability on Monday, March 31. The announcement is provided below; you are invited to remotely join the session.

Date/Time Title
March 31, 2014
1:00 PM – 2:00 PM EDT
Model Infrastructure for Improved Model Performance and Interoperability
  Speakers and Topics: V. Balaji (NOAA GFDL)
The scientific basis for common model infrastructure

Cecelia Deluca (NOAA ESRL)
The Earth System Modeling Framework and Earth System Prediction Suite
 
Mark Iredell (NOAA NCEP EMC)
The NOAA Environmental Modeling System at NCEP

Remote Access:   To view the slideshow:
1. Click the link below or copy and paste the link to a browser: https://cpomapp.webex.com/cpomapp/onstage/g.php?t=a&d=624414027
2. Enter your name and e-mail address, and click “Join Now”. If necessary, enter the event passcode: 20910
 
To hear the audio:
Utilize the on-screen dial-in instructions visible after logging into webex
 
Webex and the teleconference line can accommodate only 100 attendees on a first-come, first-served basis. Please try to share a connection with colleagues at your institution to preserve space for others.
Download Webcast:

(Right click and Save Link As) .mp4

 

ABSTRACTS:

V. Balaji — The scientific basis for common model infrastructure — Multi-model ensembles have become an essential tool in the construction of both consensus and uncertainty estimates in climate projections. National and international assessments such as the IPCC reports now routinely rely on such ensembles — where many modeling centers run experiments following a common protocol — for projections of climate change and variability. These projects also advance climate science by allowing modeling groups to share understanding by contrasting results arising from differing representations of key climate processes.

The 2012 NRC report entitled “A National Strategy for Advancing Climate Modeling” highlighted the role of the common infrastructure underpinning the science. The talk will outline current practice and future prospects for common infrastructure in the construction of Earth system models and multi-model ensembles.

Cecelia Deluca — The Earth System Modeling Framework and Earth System Prediction Suite — The Earth System Modeling Framework (ESMF) is high performance infrastructure for building and coupling weather, climate, and related models.  An established multi-agency effort, ESMF was initiated in 2002 as an organized response to calls for “common modeling infrastructure” to promote resource efficiency and knowledge transfer.

ESMF has evolved into a software package that can be used in multiple ways: as a comprehensive framework for assembling coupled modeling systems; as a fast, parallel generator of interpolation weights from grid files; and as a convenient Python interface to grid remapping functions. It is currently used by modelers at NASA, NOAA, NCAR, Navy, and other centers, and has been incorporated into a range of analysis and visualization packages.

ESMF was recently extended by a consortium of U.S. operational weather centers and their research partners, the National Unified Operational Prediction Capability (NUOPC).  The “NUOPC Layer” includes usage conventions, code templates and compliance checkers that improve the interoperability of ESMF-based applications.  A collection of widely used models are adopting the NUOPC conventions along with ESMF. This emerging collection, called the Earth System Prediction Suite, represents an important milestone for efforts to coordinate U.S. modeling.  This talk presents an overview of ESMF, the NUOPC Layer, and the Earth System Prediction Suite.
 
Mark Iredell — The NOAA Environmental Modeling System at NCEP — The NOAA Environmental Modeling System or “NEMS” is a shared, portable, high performance software superstructure and infrastructure for use in operational prediction models at the National Centers for Environmental Prediction (NCEP). This presentation is an overview.

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