PACJET Projects |
HMT 2004
PACJET 2003
PACJET 2002
PACJET 2001
CALJET 1998
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Resources |
GPS Realtime Water Vapor
GWINDEX
West Coast RUC
ETL Profiler Network
Press Materials
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Background |
About Pacjet
CALJET Summary
Societal Impacts and User Input
Linkages to National Priorities
USWRP
Data Assimilation Implementation Plan
March 2001 Program Status Report
PACJET 2001 Poster
NSSL Briefing
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Program Documents |
PACJET and a Long-term Effort
to Improve 0-24 h West Coast Forecasts
Overview Poster
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Research Participants |
NOAA Research
ETL,
NSSL,
FSL,
AL,
CDC
National Weather Service Western Region
Eureka,
Hanford,
Medford,
Monterey,
Oxnard,
Portland,
Reno,
Sacramento,
San Diego,
Seattle,
CNFRC
Office of Marine and Aviation Operations
AOC
Naval Postgradute School
DRI CIASTA
CIRES
SUNY Stony Brook
National Centers for Environmental Prediction
EMC,
HPC,
MPC
National Environmental Satellite, Data
and Information Service
CIMSS,
CIRA
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Operational Forecasting Components |
COMET Presentation
West Coast RUC
Aircraft Obs via AWIPS
GWINDEX Poster
Applications Development
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Research Components |
Modeling Research Components
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Related Experiments |
Winter Storm Reconnaissance (Central Pac.)
CRPAQS (CA Air Quality)
IMPROVE (Microphysics)
THORPEX (Synoptic Targeting)
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Observing Systems |
AEROSONDE
NOAA P-3
Wind Profiler Network
Satellite Products
NOAA S-band Radar
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Contacts |
Program
Media Contacts
Webmaster
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Workshops |
2001 - Monterey, CA
July 13-14 2000 (Boulder, CO)
July Workshop Agenda
September 1999 - Monterey, CA
1999 Planning Workshop Figures
June 1998 - CALJET
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OPERATIONAL APPLICATIONS DEVELOPMENT
Real-time Assimilation of Experimental Data
Real-time assimilation of experimental data for operational NWP, such as
an operational global scale model (MRF) and an experimental version of the RUC.
For more information and program data see http://maps.fsl.noaa.gov/pacjet_am.cgi.
Extended RUC Domain
Forecast Tools
PACJET will aid in the creation of forecast tools centering around new
instruments and observing strategies. Data dissemination pathways will be developed
for visual and quantitative experimental data. Visualization products will be
designed for optimal use of data for specific forecast problems.
Alerts will be sent to forecast offices indicating that experimental data will be
available. Real-time verification tools will be developed around special
PACJET observations.
Real-time GOES winds
Specialized GOES wind products based on a feature tracking technique
were produced by CIMSS as part of the CALJET experiment in 1998. A
unique component of this data set is the availability of
super-rapid-scan (1-min sampling) GOES images. These data were used
to assess the impact of shortening the time between images used in
feature tracking. Standard approaches used 30-min between samples,
but tests in tropical storms had suggested more frequent sampling
could improve areal coverage in regions where cloud features had a
shorter lifetime than 30 min. The figures shown here represent the
results of this test using a 5-min lag between images for both IR and
visible channels. These are compared to results using 30 min lag, and
confirm that the areal data coverage increases significantly. Using
statistical internal consistency checks it was determined that the
optimal time lag was about 5-min. Wind vectors calculated using
shorter lags had higher internal variance that resulted from the
increased influence of satellite pointing uncertainty as the distance
between features decreased, i.e., with shorter time lags. Based on
these results, a new GOES scan pattern is being developed that should
provide a set of 3 consecutive 5-minute interval images, once every
hour around the clock during PACJET over the domain shown here.
In addition to the GOES wind products, GOES sounder moisture products
(total precipitable water vapor, and cloud-top pressure) will be
available at 3-hourly intervals.
Monitoring Impact
The impact of experimental data on NWP and on issuance of warnings will be assessed.
Forecasters and key forecast users will be trained on new data and concepts before PACJET.
The direct use of new data by forecasters and users will be tracked during the experiment.
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