Figure 71. D2D screen showing meteorological
information from the RUC model in 2002.
The modernization of NWS operations involved the development of a new radar system, an automated surface observing system, a new series of
geostationary satellites and products, and a communications and forecaster workstation system, the Advanced Weather Interactive Processing System
(AWIPS). FSL has been participating for years in risk reduction activities to help the NWS meet its goals in the development and deployment of AWIPS.
The Modernization Division comprises three branches:
Risk Reduction Branch
Carl S. Bullock, Chief
Objectives
Work in the Risk Reduction Branch is directed toward helping the National Weather Service (NWS) prepare for operations in the AWIPS era. The two
focus areas include operation and evaluation of risk reduction activities and the development of AWIPS. Since NWS announced in 1996 that the
FSL-developed WFO-Advanced system would form the core of the AWIPS software to run at all Weather Forecast Offices (WFOs) and River Forecast
Centers (RFCs), the development and evolution of AWIPS has been the primary activity.
Accomplishments
AWIPS Software
The final development of Build 5.2.2 was completed, tested, and installed during 2002. This work concludes the mandate by Congress to complete the initial
AWIPS system capabilities including interactive forecast preparation, severe weather reporting, service backup, and radar display functions that replace the
WSR-88D Principal User Position (PUP) displays. The first operational build, OB1, was developed and tested as well.
New datasets were added in both of these builds. Aircraft reports can now be decoded and displayed; these messages report turbulence, icing, cloud layers,
winds, temperature, and other parameters important to air navigation. In some cases, detailed temperature and humidity profiles are obtained from aircraft
that are arriving or departing major airports. With FSL's implementation of a decoder for synoptic observations, many more reports of surface weather
conditions are available, particularly from other countries. Atmospheric soundings retrieved by geostationary and polar orbiting satellites have been added
as well. These provide much greater horizontal and temporal coverage than is obtained from radiosonde balloons. Numerical weather prediction grids for
the Great Lakes, Atlantic, and Gulf Coast have been added in support of marine forecasting and navigation.
An important addition in Build 5.2.2 is the introduction of ensemble numerical weather prediction model grids. These data provide an objective method of
dealing with the uncertainty inherent in weather prediction by generating multiple solutions based on different initial conditions. Algorithms to calculate
the mean and standard deviations of these fields have been added to the volume browser menu, which is used to access gridded model data. To accommodate
the volume of data anticipated with ensembles, a compression algorithm has been included for storing and retrieving these data.
New radar capabilities include detailed inventories, high-resolution storm relative velocity, and the rotational velocity (Vr) shear function that works in four-panel
mode. Detailed inventories allow the user to differentiate between multiple request products such as cross sections or storm relative motions. The system will
automatically load a loop of the particular cross section selected by the user. Now that high-resolution velocity data are available, a capability has been added
to the AWIPS workstation to calculate storm relative velocity using user input for storm motion. This is an important tool for diagnosing severe weather.
The Vr shear function is another tool used to diagnose severe convective storms. It can now function on four different radar tilts simultaneously so the user can
measure how shear in a storm changes with height.
The volume browser has been enhanced with the addition of two new methods for displaying data. To view some high resolution vertical data, a new viewing
option that plots a variable versus height was added. Users can now plot any variable (such as wind speed) versus height. The user can also zoom in on one
axis to display the additional detail for high resolution data sets. Time-series plots were enhanced to allow multiple plots stacked vertically. This is a widely
used method of displaying parameters in a display arrangement known as a meteogram. Typically this is done with METAR (meteorological aviation report)
observations, but in AWIPS point forecast data from the various models can also be displayed in this manner.
During 2002, progress was made on the transition of AWIPS to the Linux operating system. The main task was to port certain decoders to Linux in an attempt
to offload the HP data servers. The two decoders chosen represent the greatest volume of data sent over the Satellite Broadcast Network (SBN), the grib decoder,
and the satellite decoder. These decoders will run on a new preprocessor Linux system where cpu and storage capabilities greatly exceed the existing HP servers.
Another accomplishment involved porting of the Product Maker to the Linux workstation. This is a general purpose utility that allows the user to define
computations to be performed on gridded or image data with the results displayed on AWIPS.
Collaboration with the Korean Meteorological Agency (KMA) continued. KMA has modified an AWIPS workstation to use the data generated by their ingest
systems. These data include radar, surface and upper air observations, satellite imagery, and numerical weather prediction grids. The menu interface to use
Korean characters was also modified. The Korean forecasters visiting FSL received two training sessions on how to use AWIPS in forecasting various weather
phenomena.
Projections
Although the main development of AWIPS concluded with Build 5.2.2, there is a continuing stream of additions and enhancements that are needed by the
operational forecasting community. AWIPS must respond to changes in the data that it ingests. For example, the WSR-88D radar is undergoing a series of
upgrades and is able to produce more detailed products and new products. These developments will be coordinated with new AWIPS builds allowing forecasters
to take advantage of new data as they become available. An example is the new radar scan strategies planned for implementation in 2003. The WSR-88D radar
can now connect to AWIPS over a local area network. This will remove some of the current limitations and makes it possible to replace the existing dialup
network, eliminating substantial telecommunications expense. NESDIS continues to generate new products from satellites. GOES high density winds and
QuikScat wind retrievals will be added into AWIPS during the next year. The National Centers for Environmental Prediction (NCEP) continues to produce
more detailed numerical weather forecasts. The Eta model currently outputs information at 12-km resolution, which will require modifications in AWIPS to
accommodate these more detailed fields.
During 2003, continued collaboration with the Korea Meteorological Administration and the Taiwan Central Weather Bureau will focus on nowcasting tools,
particularly those that use radar data.
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