Title: Intelligent Use of LAPS
1Intelligent Use of LAPS
- By
- Ed Szoke and
- Steve Albers
- 16 December 1999
2LAPS
- A system designed to
- Exploit all available data sources
- Create analyzed and forecast grids
- Build products for specific forecast applications
- Use advanced display technology
- All within the local weather office
3Why do analysis in the local office?
4THE CONCEPT OF THE LOCAL DATA BASE IS CENTRAL TO
FUTURE OPERATIONSTHE MOST COMPLETE DATA SETS
WILL ONLY BE AVAILABLE TO THE LOCAL WFO. THE NEW
OBSERVING SYSTEMS ARE DESIGNED TO PROVIDE
INTEGRATED 3-D DEPICTIONS OF THE RAPIDLY CHANGING
STATE OF THE ENVIRONMENT.
- -Strategic plan for the modernization and
associated restructuring of the National Weather
Service
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7Data Acquisition and Quality Control
8Local Data
- Local Data may be defined as that data not
entering into the National Database - Sources
- Highway Departments
- Many States with full or partial networks
- Agricultural Networks
- State run, sometimes private
- Universities
- Experimental observations
- Private Industry
- Environmental monitoring
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10Problems with Local Data
- Poor Maintenance
- Poor Communications
- Poor Calibration
- Result ---------------- Inaccurate,
- Irregular,
- Observations
11Quality Control Methods
- Gross Error Checks
- Rough Climatological Estimates
- Statistical Models
- Buddy Checking
- Dynamical Models
- Use of meso-beta models
12Requirements for QC Scheme
- Runnable in weather offices on small workstations
- Adaptable to ongoing model improvement
- Adaptable to daily variations in model skill
13Requirements for QC Scheme (cont.)
- SOLUTION The KALMAN FILTER
- Adaptable to small workstations
- Accommodates models of varying complexity
- Model error is a dynamic quantity within the
filter, thus the scheme adjusts as model skill
varies
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15LAPS Overview
- LAPS Grid
- Horizontal Resolution 10 km
- Vertical Resolution 50 mb
- Size 61 x 61 x 21
16LAPS Analysis Software
- Analysis package has been in each version of
WFO-Advanced delivered to PRC and NWS - LAPS in current build (AWIPS 4.2) is primitive
- Awaiting requirements for build 5.0, such as
resizeability, relocatability, advanced quality
control techniques, etc.
17Sources of LAPS Information
- The LAPS homepage http//laps.fsl.noaa.gov
- provides access to many links including
- What is in AWIPS LAPS?
- http//laps.fsl.noaa.gov/LAPS/AWIPS_WFO_page.htm
18Initially (Version 4.0) NOT MUCH!
- AWIPS SURFACE SATELLITE RADAR
SOUNDING PROFILER BACKGROUND MODEL - 4.1 METARS 8bit IR Only
None Inactive Network
RUC (Can use Eta) - 4.2 LDAD Same
Low-level Inactive Network
RUC (Can use Eta) -
Z, Level 3 -
RPG, No V - Full All Derived
Mulitple RAOBS RASS
Other Models - LAPS Soundings
Radars
Boundary - 10bit
IR All levels
Layer - VIS
Z and V
Profilers - if Available
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20Quote from the Field
- "...for the hourly LAPS soundings, you can go to
interactive skew-T, and loop the editable
soundings from one hour to the next, and get a
more accurate idea of how various parameters are
changing on an hourly basis...nice. We continue
to find considerable use of the LAPS data
(including soundings) for short-term convective
forecasting."
21The Component of LAPS
- There are 3 main components
- 1) Temperature (http//laps.fsl.noaa.gov/albers/l
aps/talks/temp/sld001.htm) - 2) Moisture (http//laps.fsl.noaa.gov/albers/laps
/talks/cloud/sld001.htm) - 3) Wind (http//laps.fsl.noaa.gov/albers/laps/tal
ks/wind/sld001.htm) - See Steve Albers discussion at
- http//laps.fsl.noaa.gov/presentations/presentatio
ns.html
223D Temperature
- Interpolate from model (RUC)
- Insert sonde and RASS if available
- normally radius of influence not used unless more
than one sounding - Insert surface temperature and blend upward
- depending on stability and elevation
- Surface temperature analysis depends on
- METARS and LDAD
- Gradients adjusted by IR temperature
233D Moisture
- Preliminary analysis from vertical soundings
derived from METARS and PIREPS - IR used to determine cloud top (using temperature
field) - Radar data inserted (3-D if available)
- Visible satellite used
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28Products Derived from Wind Analysis
29Case Study Example
- An example of the use of LAPS in convective event
- 13-14 May 1999
- Location DEN-BOU WFO
30Case Study Example (cont.)
- Late on the 13th we see moisture returning in far
eastern CO on screaming southerly flow. A
Severe Thunderstorm Watch was issued at 4 PM
(2200 UTC) for portions of northeast CO and
nearby areas. - Note the change in the moisture near LBF
31LAPS surface CAPE with CIN and METARS
32LAPS sounding near LBF 2300 UTC
33LAPS sounding near LBF 0000 UTC
34LAPS sounding near LBF 0100 UTC
35Case Study Example (cont.)
- On the next day, 14 May the moisture is in place.
A line of storms develops along the foothills
around noon LT (1800 UTC) and moves east. LAPS
used to diagnose potential for severe
development. A Tornado Watch issued by 1900 UTC
for portions of eastern CO and nearby areas. - A brief tornado did form in far eastern CO west
of GLD around 0000 UTC the 15th. Other tornadoes
occurred later near GLD.
36NOWRAD and METARS with LAPS surface CAPE 2100 UTC
37NOWRAD and METARS with LAPS surface CIN 2100 UTC
38Dewpoint max appears near CAPE max, but between
METARS 2100 UTC
39Examine soundings near CAPE max at points B, E
and F 2100 UTC
40Soundings near CAPE max at B, E and F 2100 UTC
41RUC also has dewpoint max near point E 2100 UTC
42LAPS RUC sounding comparison at point E (CAPE
Max) 2100 UTC
43CAPE Maximum persists in same area 2200 UTC
44CIN minimum in area of CAPE max 2200 UTC
45Point E, CAPE has increased to 2674 J/kg 2200 UTC
46Convergence and Equivalent Potential Temperature
are co-located 2100 UTC
47How does LAPS sfc divergence compare to that of
the RUC? Similar over the plains. 2100 UTC
48LAPS winds every 10 km, RUC winds every 80
km 2100 UTC
49Case Study Example (cont.)
- The next images show a series of LAPS soundings
from near LBF illustrating some dramatic changes
in the moisture aloft. Why does this occur?
50LAPS sounding near LBF 1600 UTC
51LAPS sounding near LBF 1700 UTC
52LAPS sounding near LBF 1800 UTC
53LAPS sounding near LBF 2100 UTC
54Case Study Example (cont.)
- Now we will examine some LAPS cross-sections to
investigate the changes in moisture, interspersed
with a sequence of satellite images showing the
location of the cross-section, C-C (from WSW to
ENE across DEN)
55Visible image with LAPS 700 mb temp and wind and
METARS 1500 UTC Note the strong thermal gradient
aloft from NW-S (snowing in southern WY) and the
LL moisture gradient across eastern CO.
56LAPS Analysis at 1500 UTC, Generated with Volume
Browser
57Visible image 1600 UTC
58Visible image 1700 UTC
59LAPS cross-section 1700 UTC
60LAPS cross-section 1800 UTC
61LAPS cross-section 1900 UTC
62Case Study Example (cont.)
- The cross-sections show some fairly substantial
changes in mid-level RH. Some of this is related
to LAPS diagnosis of clouds, but the other
changes must be caused by the satellite moisture
analysis between cloudy areas. It is not clear
how believable some of these are in this case.
63Case Study Example (cont.)
- Another field that can be monitored with LAPS is
helicity. A description of LAPS helicity is at - http//laps.fsl.noaa.gov/frd/laps/LAPB/AWIPS_WFO_p
age.htm - A storm motion is derived from the mean wind
(sfc-300 mb) with an off mean wind motion
determined by a vector addition of 0.15 x Shear
vector, set to perpendicular to the mean storm
motion - Next well examine some helicity images for this
case. Combining CAPE and minimum CIN with
helicity agreed with the path of the supercell
storm that produced the CO tornado.
64NOWRAD with METARS and LAPS surface helicity
1900 UTC
65NOWRAD with METARS and LAPS surface helicity
2000 UTC
66NOWRAD with METARS and LAPS surface helicity
2100 UTC
67NOWRAD with METARS and LAPS surface helicity
2200 UTC
68NOWRAD with METARS and LAPS surface helicity
2300 UTC
69Case Study Example (cont.)
- Now well show some other LAPS fields that might
be useful (and some that might not)
70Divergence compares favorably with the RUC
71The omega field has considerable detail (which is
highly influenced by topography
72LAPS Topography
73Vorticity is a smooth field in LAPS
74Comparison with the Eta does show some
differences. Are they real?
75Stay Away from DivQ at 10 km
76Why Run Models in the Weather Office?
- Diagnose local weather features to enhance
conceptual models - sea/mountain breezes
- modulation of synoptic scale features
- Take advantage of high resolution terrain data to
downscale national model forecasts - orography is a data source!
77Why Run Models in the Weather Office? (cont.)
- Take advantage of unique local data
- radar
- surface mesonets
- Have an NWP tool under local control for
scheduled and special support - Take advantage of powerful/cheap computers
78LAPS Philosophy
- Much of what LAPS generates makes it ideal for
initializing a local scale model- even if some of
the products may not be particularly useful in
the WFO (like the cloud analysis, etc.)
79Modeling Approaches
- Diagnostic Mode
- Basic Operational Downscaling Mode
- Data Assimilation and Forecast Mode
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84SFM forecast showing details of the orographic
precipitation, as well as capturing the Longmont
anticyclone flow on the plains
85LAPS Summary
- You can see more about our local modeling efforts
at - http//laps.fsl.noaa.gov/szoke/lapsreview/start.ht
ml - What else in the future? (besides hopefully a
more complete input data stream to AWIPS LAPS...) - Learn more about a different kind of
visualization, D3D, at - http//laps.fsl.noaa.gov/d3d/ams99/rtII/start.html
86D3D Example
87Example of Powerful Sounding Tool in D3D
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