Title: Nationwide Differential GPS NDGPS Water Vapor Observations During Hurricane Georges
1Nationwide 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
2The 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.
3Ground-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"
4GPS Signal Delays Caused by the Atmosphere
5GPS 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.
6GPS Improves NWP Forecast Accuracy
700mb RH
850mb RH
77 Same or better with GPS
79 Same or better with GPS
7Dual-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
8Hurricane 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.
9Hurricane 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.
10Hurricane Georges Near
Landfall on 9-27-98
11GPS Sites Monitoring IPWV During
Hurricane Georges
12(No Transcript)
13Comparison 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).
14What 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?
15Next 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.
16Next 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.