Andy Fox DART

© 2012 National Ecological Observatory Network, Inc. ALL RIGHTS RESERVED.

THE DATA ASSIMILATION RESEARCH TESTBED (DART) FOR ECOLOGICAL FORECASTING

Andy Fox1, Tim Hoar2, Kevin Raeder2, Nancy Collins2, Helen Kershaw2 & Jeff Anderson2

1. National Ecological Observatory Network

2. National Center for Atmospheric Research

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© 2012 National Ecological Observatory Network, Inc. ALL RIGHTS RESERVED.2

• DART is an open source community software facility for ensemble Data Assimilation

• Provides a variety of flavors of filters

• Many enhancements to basic filtering algorithms– Adaptive inflation– Localization

• Extensive documentation• Includes a variety of instructional

material with many interactive MATLAB tutorials

• Extensive state-space and observation-space diagnostics

• Building an interface between DART and a new model generally requires no modifications to model code

What is DART?


• Weather models, e.g. WRF, COAMPS and MPAS-A and MPAS-O

• Components of climate models, e.g. CAM, POP, WACCM, MITgcm-Ocean

• Land surface models e.g. CLM, ED, NOAH, CABLE

• Ionosphere/thermosphere models, e.g. TIEGCM, GITM

• Low-order models such as the Lorenz models for assimilation research and educational use.

DART works with dozens of models

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• Temperature, winds aloft, surface winds, moisture from NCEP, MADIS, and SSEC

• Total precipitable water, radar observations, radio occultation observations from GPS satellites

• Ocean temperature and salinity from the World Ocean Database

And assimilates dozens of observation types

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• Remotely-sensed land observations such as snow cover fraction, leaf area index and microwave brightness temperature observations

• In-situ land observations such as ground water depth, eddy covariance tower fluxes, cosmic ray neutron intensity


• 48 UCAR member universities

• More than 100 other institutions

DART is used at

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DART @ NEON


DART @ NEON

Mean LAI and NEP from 80 ensemble members, 1 July 2005

Change in ensemble spread, 31 July 2005


“Enabling ecological forecasting is central to NEON, and the science vision that led to NEON’s conception involved advancing the ability to quantitatively predict, not just retroactively explain, ecological processes” (National Research Council 2003).

1. Predicting the most likely future state of an ecological system

2. Predicting the most likely future state, given a decision today

Ecological forecasting @ NEON

http://www.neoninc.org/science/sciencestrategy

The science strategy for the National Ecological Observatory Network is outlined in this document


Getting DART

http://www.image.ucar.edu/DAReS/DART has information about how to download DART from our subversion server, a full DART tutorial (included with the distribution), and how to contact us.

Getting DART

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Both The National Center for Atmospheric Research and The National Ecological Observatory Network are sponsored by the National Science Foundation.

The computational resources were provided by the Computational and Information Systems Laboratory at NCAR


The National Ecological Observatory Network is a project sponsored by the National Science Foundation and managed under cooperative agreement by NEON Inc.


• Large science facility fully funded by the National

Science Foundation

• A continental-scale ecological observatory that: • Collects and provides data on the drivers/responses of

ecological change• Serves as an experimental infrastructure/backbone for

research and experiments • Develops and provides educational resources to engage

communities in working with scientific data

• Project Timeline

What is NEON?

Andy Fox DART

Data & Analytics

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