Validating the moisture predictions of AMPS at McMurdo using ground- based GPS measurements of precipitable water Julien P. Nicolas 1, David H. Bromwich 1, and Ian Thomas 2 1 Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University 2 School of Civil Engineering and Geosciences, Newcastle University, UK

Outline Motivations Data & background on precipitable water from ground-based GPS Comparison between PW from observations, AMPS and GPS Vertical profile of moisture bias in AMPS Future work Conclusion

Motivations Compared to other variables, lower skill of AMPS to predict low-level moisture and cloud cover. Importance for USAP operations at McMurdo. Aircraft landing requires minimum visibility conditions. Total precipitable water (PW) can be derived from GPS measurements. Provides information on the atmospheric moisture content where no radiosonde observations are available. Benefits of assimilating GPS PW data demonstrated in mid-latitudes. Vast array of GPS sites recently installed in the Ross Ice Shelf and in West Antarctica. Similar study was conducted in 2006, but problems with PW data quality

Antarctic GPS network

[Parish and Bromwich, 2007][Nicolas and Bromwich, 2010] The Ross Ice Shelf air stream (RAS) The “atmospheric corridor” across West Antarctica The “atmospheric corridor” across West Antarctica CLOUD COVERPRECIP 2M POT. TEMP 700-hPa WIND & Q

AMPS data AMPS archived forecasts for Grid 2 (20 km) Forecasts generated with Polar WRF 2.2 Run in parallel to Polar MM5 (switched off in July 08) Period: Jan. 07 – May h forecasts (3 days) Grid 2

PW from ground-based GPS GPS PW data processed and provided by I. Thomas and colleagues 2-hourly PW data for 8 Antarctic coastal stations for /2008 Thomas et al. (2008) used 12 years of GPS data, , to study changes in atmospheric moisture at 12 Antarctic stations. They found good agreement between GPS PW and radiosonde observations.

PW from ground-based GPS Delay in GPS signal between satellite and ground-based GPS receiver due, in part, to the atmospheric moisture content (zenith wet delay) Knowledge of the mean atmospheric temperature (Tm) required to derive PW Here, Tm is estimated based on the surface temperature [Bevis et al, 1994]: Tm = Ts The empirical relationship was derived for mid-latitudes (U.S.) [Bevis et al., 1992]

Deriving the mean tropospheric temperature (T m ) Tm estimated from the surface temperature is compared with Tm computed from ERA-40 temperature profiles [Wang et al., 2005] Dotted areas: Tm(Ts) > Tm(ERA-40) ANNUALJULY JANUARY

Deriving the mean tropospheric temperature (T m ) Tm estimated from the surface temperature is compared with Tm computed from ERA-40 temperature profiles [Wang et al., 2005] Dotted areas: Tm(Ts) > Tm(ERA-40) ANNUALJULY JANUARY

Observations Radiosonde observations at McMurdo are taken from the IGRA database of the National Climatic Data Center. PW values are calculated by vertical integration of the water vapor mixing ratio (q)

AMPS 6-24h fcstsAMPS 30-48h fcsts AMPS 54-72h fcstsGPS PW time series: Obs, AMPS, GPS

Observed PW vs AMPS & GPS (Bias) AMPS 6-24h fcstsAMPS 30-48h fcsts AMPS 54-72h fcstsGPS

Observed PW vs AMPS & GPS (Bias) AMPS 6-24h fcstsAMPS 30-48h fcsts AMPS 54-72h fcstsGPS

Statistics RMSDCorrelation BiasNumber of data used GPSAMPS forecasts 12h 48h24h 36h60h 72h 00UTC only

Vertical profile of bias in mixing ratio (q)

[Fogt and Bromwich, 2008] AMPS/PMM5 bias in relative humidity wrt. ice (Dec.03-Jan.05)

Case study: 16 Jan. 2007, 0000 UTC Bias in q for AMPS fcsts Wind and q at 700 hPa

Future work Better tuning of PW retrievals for polar regions Compelling reasons for testing GPS data assimilation in AMPS once GPS data from sites in West Antarctica become available The Polar WRF can assimilate: ▫PW retrievals from GPS data ▫Or directly the zenith wet delay (ZWD) Requires that GPS data be available for operational assimilation in a timely manner 3D-Var or 4D-Var? GPS PW/ZWD assimilation tested for mid-latitudes, data- dense regions only, NOT for the polar, data-sparse Antarctic environment Validation of AMPS PW for other Antarctic locations

Conclusions Good quality of GPS-derived PW data (confirms the work from I. Thomas) AMPS/Polar WRF compares favorably with PW observations But potential for improvement through GPS data assimilation Will provide better constraints on moisture fluxes coming from the south [Monaghan et al., 2005] Annual precip in the McM region from AMPS

Acknowledgements This research is funded by the AMPS Grant from the National Science Foundation, Office of Polar Programs. UCAR Subcontract S

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