- assimilate, then forecast
- MPI methods (async 5?)
- inflation algorithms
- localization schemes
- parameter estimation
- verification strategies
- known bugs/workarounds
- Model Performance
- Chemical Transport
- [novel] observations like GPS RO
- Sensitivity Analyses
- Carbon Monoxide
- Data Assimilation on Mars
- Inertio-Gravity waves
- Boundary Layer projects
- Lorenz '96
- [[Damped] Adaptive] Inflation Algorithms
- Radar Reflectivity
- Ocean Modeling
- Tropical Cyclones
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DART research is broadly categorized along three avenues: one is the research toward data assimilation algorithmic and computational efficiency, another is toward implementing and exploiting the information in observations with one model or another, and another is to learn more about the behavior of an individual model - perhaps by looking at systematic features of the increments.
List of Collaborators ...
under construction
Research into DART
There are a large number of research topics into the mechanics of DART itself. There are also a large number of software enhancements, simplifications, and supporting widgets that need to be made -- those are not included here, as they are not really research.
Research Projects involving DART
Model Performance
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Ensemble Data assimilation can provide qualitative and quantitative uncertainty
for quantities of interest to weather forecasters.
[link to more information]
Kevin Raeder, raeder@ucar.edu |
Chemical Data Assimilation
 |
We are currently applying an ensemble-based chemical data assimilation system,
consisting of regional to global chemical transport models (CAM-Chem, WRF-Chem)
in conjunction with DART, for a joint assimilation of meteorological
observations and satellite-derived CO measurements from MOPITT and aerosol
optical depth (AOD) measurements from MODIS. The chemical data assimilation
system has been recently used for near-real time chemical forecasting
(see http://gctm.acd.ucar.edu/arctas)
to support flight planning during the NASA Arctic Research of the Composition
of the Troposphere from Aircraft and Satellites (ARCTAS) (see also
http://www.ncar.ucar.edu/index.php/ncar/articles/supporting_arctas_field_campaign).
[link to more information]
Ave Arellano, arellano@ucar.edu |
GPS RO Observations and Tropical Cyclone Forecasting
 |
Profiles of atmospheric quantities deduced from GPS Radio
Occultation data are available in otherwise data-sparse regions
and provide information used to forecast the behavior of tropical
cyclones. The COSMIC/FORMOSAT-3 mission
has been providing about 2000 data profiles per day since September 2007.
[link to more information]
Hui Liu, hliu@ucar.edu |
Sensitivity Analyses
 |
Forecast sensitivity analysis provides an objective means of evaluating how initial
condition errors affect a forecast and where to gather additional observations to
reduce forecast errors. Most sensitivity studies use the adjoint of a linearized
forecast model to determine the gradient of a forecast metric with respect to the
initial conditions. Adjoints suffer from a number of difficulties including
coding, linearity assumptions, and moist processes. Ensemble-based sensitivity
analysis provides an attractive alternative to adjoint-based methods because
it combines data assimilation and sensitivity analysis in a consistent manner.
This image illustrates the effect of zonal winds aloft on the position of
Hurricane Katrina.
[link to more information]
Ryan Torn, torn@atmos.albany.edu |
Assimilation of CO
 |
This project describes an integrated approach to modeling
atmospheric chemistry with trace gas data assimilation.
Specifically, we ran CMAQ from within DART to assimilate
both synthetic and real observations of CO for the period
of June 2001.
[link to more information]
Alexis Zubrow, azubrow@unc.edu |
Assimilation on MARS
 |
The planetary atmospheres group at Caltech has produced a global and
planetary version of NCAR's WRF (Weather Research and Forecasting) Model.
We are using DART to attempt data assimilation within the Mars atmosphere
using the Mars version of WRF, MarsWRF, as our GCM.
[link to more information]
Greg Lawson, wglawson@gps.caltech.edu |
Inertio-Gravity waves
 |
This project aims at quantifying the impact of various motion types in
analysis and forecast fields by using normal modes. The DART/CAM is the
main analysis system used in the project.
The first question addressed is about how large part of the atmospheric
energy is associated with the inertio-gravity motions, an important part
of the global circulation primarily because of their role in the tropical
system.
[link to more information]
Nedjeljka Zagar, nedjeljka.zagar@fmf.uni-lj.si |
Planetary Boundary Layer
 |
A long-term goal of this work is to find an efficient system for probabilistic planetary boundary
layer (PBL) nowcasting that can be employed wherever surface observations are present. One approach
showing promise is the use of a single column model (SCM) and ensemble filter data assimilation
techniques.
[link to more information]
Dorita Rostkier-Edelstein, rostkier@ucar.edu Josh Hacker, hacker@ucar.edu |
The Lorenz '96 model
 
|
The Lorenz '96 model is one of our favorite models. In our implementation,
it is a 40-variable model that can be used to test inflation algorithms,
the effects of localization schemes, the integrity of the DART installation
itself, the state-space diagnostic routines; it is extensively used in the
tutorial, and can even be run as a standalone executable to test
the MPI support on a machine.
[link to more information]
Jeff Anderson, jla@ucar.edu, and Tim Hoar, thoar@ucar.edu |
Suggestions for the DART facility ...
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