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Intelligent Use of LAPS

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Title: Intelligent Use of LAPS


1
Intelligent Use of LAPS
  • By
  • Ed Szoke and
  • Steve Albers
  • 16 December 1999

2
LAPS
  • 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

3
Why do analysis in the local office?
4
THE 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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Data Acquisition and Quality Control
8
Local 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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Problems with Local Data
  • Poor Maintenance
  • Poor Communications
  • Poor Calibration
  • Result ---------------- Inaccurate,
  • Irregular,
  • Observations

11
Quality Control Methods
  • Gross Error Checks
  • Rough Climatological Estimates
  • Statistical Models
  • Buddy Checking
  • Dynamical Models
  • Use of meso-beta models

12
Requirements for QC Scheme
  • Runnable in weather offices on small workstations
  • Adaptable to ongoing model improvement
  • Adaptable to daily variations in model skill

13
Requirements 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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LAPS Overview
  • LAPS Grid
  • Horizontal Resolution 10 km
  • Vertical Resolution 50 mb
  • Size 61 x 61 x 21

16
LAPS 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.

17
Sources 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

18
Initially (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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Quote 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."

21
The 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

22
3D 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

23
3D 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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Products Derived from Wind Analysis
29
Case Study Example
  • An example of the use of LAPS in convective event
  • 13-14 May 1999
  • Location DEN-BOU WFO

30
Case 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

31
LAPS surface CAPE with CIN and METARS
32
LAPS sounding near LBF 2300 UTC
33
LAPS sounding near LBF 0000 UTC
34
LAPS sounding near LBF 0100 UTC
35
Case 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.

36
NOWRAD and METARS with LAPS surface CAPE 2100 UTC
37
NOWRAD and METARS with LAPS surface CIN 2100 UTC
38
Dewpoint max appears near CAPE max, but between
METARS 2100 UTC
39
Examine soundings near CAPE max at points B, E
and F 2100 UTC
40
Soundings near CAPE max at B, E and F 2100 UTC
41
RUC also has dewpoint max near point E 2100 UTC
42
LAPS RUC sounding comparison at point E (CAPE
Max) 2100 UTC
43
CAPE Maximum persists in same area 2200 UTC
44
CIN minimum in area of CAPE max 2200 UTC
45
Point E, CAPE has increased to 2674 J/kg 2200 UTC
46
Convergence and Equivalent Potential Temperature
are co-located 2100 UTC
47
How does LAPS sfc divergence compare to that of
the RUC? Similar over the plains. 2100 UTC
48
LAPS winds every 10 km, RUC winds every 80
km 2100 UTC
49
Case 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?

50
LAPS sounding near LBF 1600 UTC
51
LAPS sounding near LBF 1700 UTC
52
LAPS sounding near LBF 1800 UTC
53
LAPS sounding near LBF 2100 UTC
54
Case 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)

55
Visible 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.
56
LAPS Analysis at 1500 UTC, Generated with Volume
Browser
57
Visible image 1600 UTC
58
Visible image 1700 UTC
59
LAPS cross-section 1700 UTC
60
LAPS cross-section 1800 UTC
61
LAPS cross-section 1900 UTC
62
Case 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.

63
Case 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.

64
NOWRAD with METARS and LAPS surface helicity
1900 UTC
65
NOWRAD with METARS and LAPS surface helicity
2000 UTC
66
NOWRAD with METARS and LAPS surface helicity
2100 UTC
67
NOWRAD with METARS and LAPS surface helicity
2200 UTC
68
NOWRAD with METARS and LAPS surface helicity
2300 UTC
69
Case Study Example (cont.)
  • Now well show some other LAPS fields that might
    be useful (and some that might not)

70
Divergence compares favorably with the RUC
71
The omega field has considerable detail (which is
highly influenced by topography
72
LAPS Topography
73
Vorticity is a smooth field in LAPS
74
Comparison with the Eta does show some
differences. Are they real?
75
Stay Away from DivQ at 10 km
76
Why 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!

77
Why 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

78
LAPS 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.)

79
Modeling Approaches
  • Diagnostic Mode
  • Basic Operational Downscaling Mode
  • Data Assimilation and Forecast Mode

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SFM forecast showing details of the orographic
precipitation, as well as capturing the Longmont
anticyclone flow on the plains
85
LAPS 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

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D3D Example
87
Example of Powerful Sounding Tool in D3D
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