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Nationwide Differential GPS NDGPS Water Vapor Observations During Hurricane Georges

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Title: Nationwide Differential GPS NDGPS Water Vapor Observations During Hurricane Georges


1
Nationwide Differential GPS (NDGPS) Water Vapor
Observations During Hurricane
Georges National Hurricane Conference (NHC)
Workshop Road Weather Management Portion
April
9, 2001 Presented by

Seth I. Gutman

Chief, GPS-Met Observing Systems Branch

NOAA Forecast Systems Laboratory
Boulder,
Colorado

2
The Role of NDGPS
  • NDGPS was originally developed as a public safety
    navigation system, but it has evolved into much
    more.
  • NDGPS was designed to support multi-modal surface
    transportation applications including high
    accuracy vessel navigation in navigable
    waterways positive train control integrated
    vehicle highway safety systems situational
    awareness and emergency (911) response.
  • Other significant applications have emerged,
    including precision farming and high accuracy
    surveying using Continually Operating Reference
    Stations (CORS).
  • Due to a fortuitous synergy between the
    positioning and navigational applications of GPS
    and meteorological remote sensing, NDGPS sites
    can be also be used for weather forecasting and
    climate monitoring.

3
Ground-Based GPS Meteorology
  • GPS-Met is a collection of techniques that
    measure signal delays caused by the neutral
    atmosphere. The most mature is a ground-based
    technique called GPS-IPWV.
  • GPS-IPWV uses stationary dual frequency GPS
    receivers, improved orbits, and data processing
    techniques derived from geodesy to estimate
    signal "delays" caused primarily by the
    troposphere. Ancillary Psfc Tsfc data are
    needed to retrieve precipitable water vapor from
    the GPS signal delays.
  • Because of its variability in time and space,
    water vapor introduces delays in the GPS signal
    that cannot be accounted for analytically.
  • For positioning and navigation, these delays are
    considered nuisance parameters, and techniques
    have been developed to estimate and remove them
    for high accuracy positioning.

"One Person's Noise is
Another Person's Signal"
4
GPS Signal Delays Caused by the Atmosphere
5
GPS Water Vapor Measurements
  • The tropospheric signal delay has dry and wet
    components that are in the same ratio as the dry
    and wet constituents of the atmosphere 955.
  • Comparisons with independent IPWV observations
    indicates that the wet signal delay can be mapped
    into total column (integrated) precipitable water
    vapor with an error of only about 3.5.
  • Integrated precipitable water vapor (IPWV) is
    defined as the height of a vertical column of
    liquid water that would form if all of the
    moisture in the atmosphere condensed.
  • IPWV is an important parameter in weather
    forecasting since it is generally correlated with
    the amount of precipitation in a given storm.

6
GPS Improves NWP Forecast Accuracy
700mb RH
850mb RH
77 Same or better with GPS
79 Same or better with GPS
7
Dual-Use of NDGPS Sites for GPS Meteorology
NDGPS Site at Hartsville, TN
Integrity Monitor Antenna
Reference Antenna
Reference Station Mast
NOAA GSOS Sfc Met Sensors
Nuclear Power Plant (not
standard)
Equipment Shelter
8
Hurricane Georges
  • Hurricane Georges came ashore between Biloxi and
    Gulfport, Mississippi as a strong Category 2
    hurricane early in the morning of Sept. 28,
    1998. -
  • Two GPS sites monitored the event ?
    NOAA/NWS GPS-IPWV site at Stennis Space Center,
    MS (NDBC) about 60 km (37 miles) west of the eye
    at landfall ? USCG DGPS site at Mobile
    Point, AL (MOB1), located about 93 km (58
    miles) east of the eye at landfall. -
  • These are believed to be the first-ever
    ground-based measurements of total column
    precipitable water vapor during a land-falling
    hurricane.

9
Hurricane Georges
  • Flooding was a major concern because there was so
    much moisture associated with this Hurricane.
    -
  • Storm precipitation totals between 10 and 20
    were measured throughout southern Alabama,
    Mississippi and parts of Florida. 25 inches fell
    at Munson, FL. Precipitation estimates from
    Doppler radar showed that a small area in Alabama
    may have received as much as 35 inches of rain.
    -
  • Extreme precipitation totals from this hurricane
    resulted from a combination of high rainfall
    rates and a stationary and/or very-slowly-moving
    storm. -
  • Billions of dollars in damage were reported in
    Puerto Rico and along the Gulf Coast.

10
Hurricane Georges Near
Landfall on 9-27-98
11
GPS Sites Monitoring IPWV During
Hurricane Georges
12
(No Transcript)
13
Comparison of GPS Observations 3-h
RH Forecasts by RUC-2 NWP Model
Differences between observations and forecasts
are caused by several factors, including
? Poorly defined initial conditions
? Temporal spatial aliasing ?
Simple GPS data assimilation method
? Lack of other observations (e.g. no satellite
data because of cloud cover, no commercial
aircraft data because of diversions).
14
What Did We Learn?
  • GPS is capable of making continuous upper-air
    water vapor measurements during (at least) a
    Category 2 hurricane. We believe its the only
    ground-based observing system that can do this.
  • GPS provides upper-atmospheric moisture
    observations to forecasters and modelers when
    theyre needed most when other observing systems
    cannot operate reliably or at all.
  • GPS-IPWV observations improve the description of
    the moisture (RH) field and predictions of its
    short-term future state.
  • But will this improve precipitation forecasts?

15
Next Steps
  • Our ultimate goal is to improve quantitative
    precipitation forecast (QPF) accuracy, including
    precipitation type, location, quantity, time of
    onset and cessation.
  • Aside from the transportation safety issues, cost
    effective maintenance decisions require accurate
    forecasts and long lead-times to optimize
    responses in rapidly changing and sometimes
    dangerous conditions.
  • Precipitation forecast skill is generally poorer
    than for other parameters because, among other
    things, moisture tends to be under-observed in
    time and space, and most assimilation schemes are
    not handling it correctly.
  • NDGPS data, more conventional observations, and
    improvements in high resolution analysis systems
    like LAPS should help mitigate this problem.

16
Next Steps
  • NOAA/FSL, in collaboration with DOT and other
    agencies, will continue to expand the network of
    GPS water vapor observing systems.
  • Enhancements to high resolution data assimilation
    systems are needed to permit moisture to be
    handled more effectively than is currently
    possible.
  • This should result in improved QPF forecasts, but
    we have to prove it.
  • A key component of this is forecast verification
    and the development of cases to objectively
    demonstrate impact on QPF accuracy.
  • The various FSL divisions working with FHWA have
    all of the expertise and tools needed to do this
    in a cost effective manner.
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