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Using Global Positioning System to Measure
                                              Precipitable Water Vapor in Antarctica
                                                                 Amanda Murray, Mike Willis and Terry Wilson
                                          School of Earth Sciences and Byrd Polar Research Center, Ohio State University,
                                                           Columbus, Ohio 43210; murray.501@osu.edu

Background:                                                                    Formulas:                                                            Southern Victoria Land; Jan 21, 2005
• The GPS signal is broadcast on two frequencies (L1 and L2).                  ZHD = 2.2779*(Ps/(1-0.00266*COS(2λ)-                                 Moisture (mm) Pressure (hPa) Temperature (k)
• Precipitable Water Vapor can be extracted from delay of radio signals
as they pass through the atmosphere.                                           0.00028*H))
• Delay can be broken into Zenith Path Delay (ZPD), Zenith Hydrostatic         Where Ps = surface pressure, λ = latitude and
"Dry" Delay (ZHD) and Zenith Wet Delay (ZWD).
•ZWD is caused by the water vapor
                                                                               H = height above ellipsoid in km
in the troposphere.
• ZPD is from GPS, ZHD from                                                    Precipitable Water = ∏ * ZWD
atmospheric model and formula                                                  ∏^-1 = 10^-6ρRv[(k3/Tm)+K'2]
leaving ZWD.                                                                   k'2 = k2 -mk1
• ZWD is converted to PWD.                                                     Tm = ∫((Pv/T)dz)/((Pv/T2)dz) ≈ ∑^N
•Z HD error is nearly eliminated
                                                                               ((Pvi/Ti)∆zi)/∑^N((Pvi/Ti^2)∆zi)
because the L1 and L2 signals are
                                                                               ρ = density of liquid water, Rv = specific gas constant, m = ratio
spaced apart and can be combined.
• Model data downloaded from the                                               of molar constants, Pv = partial pressure of water, T =
Antarctic Mesoscale Prediction System (AMPS) is compared to GPS data.          temperature in Kelvin, i= each discrete level, N = number of
•The resulting improvement in our knowledge of water vapor                     layers, Z = height in m
distribution will enable more accurate weather forecasts and will contribute
to studies of climate change (Bevis et al. 1994).
                                                                                      Location of GPS Sites in Southern
Manipulating the Data:                                                                    Victoria Land, Antarctica
•AMPS model data were downloaded into directories in Linux.
•Surface pressure (hPa), 2-meter temperature (K), and moisture (mm) data
were all examined for the year 2005.                                                                                                                Interpolation:                              Work in Progress:
•All were geocoded to a 30km by 30km grid across Antarctica in order to                                                                             Coordinates for GPS sites (stars – above    • ZHDs are still being calculated.
produce maps of these variables.                                                                                                                    and below) were interpolated.               • ZWDs have yet to be calculated.
• There were 31 GPS sites examined for this study and the values from the
                                                                                                                                                                                                • ZNDs for more GPS sites were
variables were interpolated for each GPS station.
                                                                                                                                                                        This below was one      acquired than anticipated.
• The coordinates of the GPS sites are used as interpolation points from the
                                                                                                                                                                           of the first maps.   • More charts and maps are to
AMPS 30km by 30km gridded data.
                                                                                                                                                                                                come!
• Time series of moisture (see below) were created for each GPS site from
the interpolation.
• AMPS model pressure data were used to calculate the ZHDs for GPS sites.
                                                                                                                                                                                                             References:
• ZNDs from each GPS site were given to us for this study.                                                                                                                                       Bevis, M., S. Businger, S. Chishwell, T. A.
  Moisture Time Series for 4 GPS Sites                                                                                                                                                           Herring, R. A. Anthes, C. Rocken and R. H.
                                                                                                                                                                                                 Ware, 1994: GPS meteorology: mapping
                                                                                                                                                                                                 zenith wet delays onto precipitable
                                                                                                                                                                                                 water. Journal of Applied Meteorology.
                                                                               Comparisons:                                                                                                      Vol. 33, 379-386.

                                                                               • AMPS is at present a reliable source for prediction of
                                                                               pressure and temperature.
                                                                                                                                                                                                      Acknowledgements:
                                                                                                                                                                                                 A. Murray thanks Kelly Carroll for the
                                                                               • Model predictions may be inaccurate if the model data is                                                        support and for this research
                                                                               different from the GPS data.                                                                                      opportunity, Dr. Diem and Dr. Crampton
                                                                                                                                                                                                 for the references, everyone involved in
                                                                               • Any patterns and correlations between the GPS data and                                                          the OSU SROP program and especially
                                                                               model output will be analyzed.                                                                                    NSF (grant 60008970) and POLENET for
                                                                               • For the ZNDs from each GPS site, there are days with no                                                         making this opportunity available.
                                                                               data and it is different for each site.

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Using GPS to Measure Precipitable Water Vapor in Antarctica

  • 1. Using Global Positioning System to Measure Precipitable Water Vapor in Antarctica Amanda Murray, Mike Willis and Terry Wilson School of Earth Sciences and Byrd Polar Research Center, Ohio State University, Columbus, Ohio 43210; murray.501@osu.edu Background: Formulas: Southern Victoria Land; Jan 21, 2005 • The GPS signal is broadcast on two frequencies (L1 and L2). ZHD = 2.2779*(Ps/(1-0.00266*COS(2λ)- Moisture (mm) Pressure (hPa) Temperature (k) • Precipitable Water Vapor can be extracted from delay of radio signals as they pass through the atmosphere. 0.00028*H)) • Delay can be broken into Zenith Path Delay (ZPD), Zenith Hydrostatic Where Ps = surface pressure, λ = latitude and "Dry" Delay (ZHD) and Zenith Wet Delay (ZWD). •ZWD is caused by the water vapor H = height above ellipsoid in km in the troposphere. • ZPD is from GPS, ZHD from Precipitable Water = ∏ * ZWD atmospheric model and formula ∏^-1 = 10^-6ρRv[(k3/Tm)+K'2] leaving ZWD. k'2 = k2 -mk1 • ZWD is converted to PWD. Tm = ∫((Pv/T)dz)/((Pv/T2)dz) ≈ ∑^N •Z HD error is nearly eliminated ((Pvi/Ti)∆zi)/∑^N((Pvi/Ti^2)∆zi) because the L1 and L2 signals are ρ = density of liquid water, Rv = specific gas constant, m = ratio spaced apart and can be combined. • Model data downloaded from the of molar constants, Pv = partial pressure of water, T = Antarctic Mesoscale Prediction System (AMPS) is compared to GPS data. temperature in Kelvin, i= each discrete level, N = number of •The resulting improvement in our knowledge of water vapor layers, Z = height in m distribution will enable more accurate weather forecasts and will contribute to studies of climate change (Bevis et al. 1994). Location of GPS Sites in Southern Manipulating the Data: Victoria Land, Antarctica •AMPS model data were downloaded into directories in Linux. •Surface pressure (hPa), 2-meter temperature (K), and moisture (mm) data were all examined for the year 2005. Interpolation: Work in Progress: •All were geocoded to a 30km by 30km grid across Antarctica in order to Coordinates for GPS sites (stars – above • ZHDs are still being calculated. produce maps of these variables. and below) were interpolated. • ZWDs have yet to be calculated. • There were 31 GPS sites examined for this study and the values from the • ZNDs for more GPS sites were variables were interpolated for each GPS station. This below was one acquired than anticipated. • The coordinates of the GPS sites are used as interpolation points from the of the first maps. • More charts and maps are to AMPS 30km by 30km gridded data. come! • Time series of moisture (see below) were created for each GPS site from the interpolation. • AMPS model pressure data were used to calculate the ZHDs for GPS sites. References: • ZNDs from each GPS site were given to us for this study. Bevis, M., S. Businger, S. Chishwell, T. A. Moisture Time Series for 4 GPS Sites Herring, R. A. Anthes, C. Rocken and R. H. Ware, 1994: GPS meteorology: mapping zenith wet delays onto precipitable water. Journal of Applied Meteorology. Comparisons: Vol. 33, 379-386. • AMPS is at present a reliable source for prediction of pressure and temperature. Acknowledgements: A. Murray thanks Kelly Carroll for the • Model predictions may be inaccurate if the model data is support and for this research different from the GPS data. opportunity, Dr. Diem and Dr. Crampton for the references, everyone involved in • Any patterns and correlations between the GPS data and the OSU SROP program and especially model output will be analyzed. NSF (grant 60008970) and POLENET for • For the ZNDs from each GPS site, there are days with no making this opportunity available. data and it is different for each site.