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WG Climate, March 6 – 9, 2016 Paris, France

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Presentation on theme: "WG Climate, March 6 – 9, 2016 Paris, France"— Presentation transcript:

1 WG Climate, March 6 – 9, 2016 Paris, France
Report of the CGMS International Radio Occultation Working Group – IROWG Ulrich Foelsche Institute for Geophysics, Astrophysics, and Meteorology/Institute of Physics (IGAM/IP) Wegener Center for Climate and Global Change University of Graz, Austria

2 IROWG Rapporteur: Tony Mannucci, JPL, USA
Co-chairs: Sean Healy, ECMWF, UK Ulrich Foelsche, Uni-Graz, Austria Co-chairs until 2015: Axel von Engeln, EUMETSAT, Germany Dave Ector, UCAR/NOAA, USA SCOPE-CM activity RO-CLIM, Hans Gleisner, DMI, DK Focus: structural uncertainty in Radio Occultation climatologies

3 GNSS Radio Occultation
Radio Signals   20 cm Transmitter GPS GALILEO BeiDou GLONASS Receiver MetOp, COSMIC, CHAMP, GRACE, COSMIC-2, FY-3C …

4 Atmospheric Phase Delay
Radio Occultation Phase Delay Orbit Information, Ionospheric Correction Atmospheric Delay Atmospheric Phase Delay ~ 1 mm Mesopause ~ 20 cm Stratopause ~ 20 m Tropopause ~ 1- 2 km Surface Orbit Information Bending Angle Refractivity Abel Transform Temperature Water Vapor Density Clausius-Mossotti Relation Temperature Water Vapor Hydrostatic Integral Pressure Ideal Gas Law (Dry) Temperature or both Stratosphere Upper Troposphere Lower/Middle Troposphere

5 Observing Climate Properties of Radio occultation (RO) measurements:
Long-term stability, because RO data are self-calibrated to a very high degree High vertical resolution and high accuracy Global coverage, equal obs. density (and quality) over oceans and continents All-weather capability, day and night measurements Modest horizontal resolution is not a disadvantage, since data have to be averaged anyway for climate applications, RO data are meanwhile a pillar in NWP, and are the only satellite data, which can be assimilated without bias correction.

6 RO Data Quality Bending Angle Statistics between 65 km and 80 km
“Bias” means – difference to MSIS climatology – very similar for all sats (UCAR data). Annual and semi-annual cycle. No indications for instrument degradation or instationarities in the RO records No (clear) signal of the solar cycle for the CHAMP record Foelsche et al., AMT 2011, Pirscher, PhD Thesis, 2010

7 Refractivity Consistency
Global, monthly refractivity differences relative to the satellite mean Further reduced when the estimated sampling errors are subtracted

8 Dry Temp. Consistency Global, monthly dry temperature differences relative to satellite mean Sampling errors subtracted 15 – 20 km, 25 – 30 km Increasing CHAMP-Offset – Stat. Optimization, Background Bias

9 Observing System Operational Backbone:
COSMIC/FORMOSAT-3, 6 sat constellation (USA/Taiwan) sampling the diurnal cycle, launched 2006, near its end GRAS on MetOPs (EUMETSAT), sun-sync Future: EPS-SG (EUMETSAT) COSMIC-2/FORMOSAT-7 equatorial (NOAA, NSPO) 6 sat, 24° inclination, launch late 2016 (?) COSMIC-2 polar, 6 sat 72° inclination (???) Main IROWG recommendation (John, please help!): Ensure that both, equatorial and polar components of COSMIC-2 are fully funded and launched

10 Next IROWG Workshop IROWG-5 + OPAC-6 Workshop, Seggau Castle September 8 – 14, 2016 wegcwww.uni-graz.at/opacirowg2016

11 Thank you! Merci!


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