The
Remote Sensing, Data Assimilation & Nowcasting (RND)
Testbed
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Satellite
Data Assimilation & Nowcasting Research
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Convective Initiation Project
Satellite data assimilation is carried out for the purpose of increasing
the accuracy of: 1) convective initiation within an NWP model, and
2) developing new, appropriate methods for inserting cloud and satellite
derived water vapor information into numerical models. Models used
for this effort will include the UW-NMS and Penn State/NCAR MM5
(v. 3.6 and beyond). A transition to the WRF model will occur as
the project develops. This project will first use methods of "diabatic"
or so-called "hot start" initialization within a model's microphysical
scheme. Follow-on methods will use the NCAR Local Area Prediction
System (LAPS), and MM5's 4-dimensional variational (4DVAR), as the
means of assimilation satellite information via statistical approaches.
Convective
cloud data will be obtained as an outcome of another satellite-based
CI project ongoing at CIMSS (UAH-CIMSS
CI Project). One geographical area that this project will focus
on will be over the Caribbean and Gulf of Mexico region (see Daily
Tropical MM5)for its frequency of convection year-round. Other
areas of the Western Hemisphere that will be studied will eventually
include the southern and southeastern US (again because of its relatively
high-frequency of occurrence of convection and CI).
UAH ADAS, SPoRT, and Testbed Related Modeling
ADAS Southeast
Surface 12km Analysis
ARPS Regional Modeling and Data Assimilation Testbed
Related
Links
The
Message Passing Interface (MPI) standard
MPICH
- A Portable Implementation of MPI
Using
MPI: The Book & Examples
The
MPI Users Guide
Message
Passing Interface Forum
Message
Passing Interface FAQ
NEEP
602 - Parallel & High Performance Computing
Forecast
Systems Laboratory NOAA
FSL:
The Scalable Modeling System (SMS) software (built on MPI)
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