Royal Meteorological Institute of Belgium

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Presentation transcript:

Royal Meteorological Institute of Belgium 1 Royal Observatory of Belgium 2 Royal Belgian Institute for Space Aeronomy 3 Max Planck Institute for Chemistry 4 Solar-Terrestrial Centre of Excellence 5 Time variability of IWV datasets retrieved from IGS repro1, GOMESCIA satellite measurements and reanalyses R. Van Malderen1,5, E. Pottiaux2,5, H. Brenot3,5, S. Beirle4, T. Wagner 4, H. De Backer1, and C. Bruyninx2,5 GNSS4SWEC workshop, Reykjavik, 8-10/03/2016

Outline Introduction Diurnal IWV variation Seasonal cycle ROB Outline Introduction Diurnal IWV variation Seasonal cycle Frequency distribution Conclusions & Perspectives GNSS4SWEC workshop Reykjavik, Iceland 8-10 March 2016

Frequency distribution Introduction Diurnal variation Seasonal cycle Frequency distribution ROB 101 IGS stations selected (homogenous data processing from January 1995 to April 2011). ERA-interim/NCEPNCAR GOME/SCHIAMACHY/GOME-2 satellite overpass measurements (1996-…). GNSS4SWEC workshop Reykjavik, Iceland 8-10 March 2016

Frequency distribution Introduction Diurnal variation Seasonal cycle Frequency distribution ROB IWV trends [mm/dec] (January 1997-March 2011) IGS, Tm ERAinterim

Frequency distribution Introduction Diurnal variation Seasonal cycle Frequency distribution ROB IWV trends [mm/dec] (January 1997-March 2011) ERAinterim

Frequency distribution Introduction Diurnal variation Seasonal cycle Frequency distribution ROB IWV trends [mm/dec] (January 1997-March 2011) GOMESCIA

Frequency distribution Introduction Diurnal variation Seasonal cycle Frequency distribution ROB IWV trends [mm/dec] (January 1997-March 2011) IGS, Tm ERAinterim

Frequency distribution Introduction Diurnal variation Seasonal cycle Frequency distribution ROB Trend correlations: between data sources IGS vs. ERA-interim IGS vs. GOMESCIA Fair agreement between IGS and ERAinterim IWV trends. Poorer agreement between IGS and GOMESCIA trends (stronger moistening in GOMESCIA): differences in observation times? Impact of weather observation bias (partly clear sky) of GOMESCIA? Data homogeneity issues? GNSS4SWEC workshop Reykjavik, Iceland 8-10 March 2016

Frequency distribution Introduction Diurnal variation Seasonal cycle Frequency distribution ROB Trend correlations: between 0h and 12h IGS ERA-interim Very good agreement between IWV ERAinterim trends at 0h and 12h. A handful of IGS sites show unrealistic trends at 0h. Some additional filtering is needed here, to remove e.g. the ZTD day boundary jumps ( IGS repro 2!). GNSS4SWEC workshop Reykjavik, Iceland 8-10 March 2016

Frequency distribution Introduction Diurnal variation Seasonal cycle Frequency distribution ROB Diurnal variation ( 0h UTC – 12 h UTC) Of course, we found some longitudinal variations (value  more than noise) In general, IGS IWV shows largest diurnal bias (impact of day boundary jumps?). NCEPNCAR has smaller diurnal bias than ERA-interim. The diurnal IWV bias of IGS dataset can attributed largely to the diurnal ZTD bias.  Impact from the ZTDIWV  conversion is small.

Frequency distribution Introduction Diurnal variation Seasonal cycle Frequency distribution ROB Diurnal variation The diurnal variation seems to have no impact on the agreement between GOMESCIA (fixed satellite overpass times) and other IWV datasets (0h, 12h). REYK, satellite crossing time: 12h45 UTC GNSS4SWEC workshop Reykjavik, Iceland 8-10 March 2016

Frequency distribution Introduction Diurnal variation Seasonal cycle Frequency distribution ROB Diurnal variation The diurnal variation seems to have no impact on the agreement between GOMESCIA (fixed satellite overpass times) and other IWV datasets (0h, 12h). GNSS4SWEC workshop Reykjavik, Iceland 8-10 March 2016

Frequency distribution Introduction Diurnal variation Seasonal cycle Frequency distribution ROB Seasonal cycle: Reykjavik example the global shape of the seasonal cycle is very similarly captured by all techniques/datasets GOMESCIA differs most from other devices w.r.t. seasonal cycle, especially at lower IWV values Overestimation by ERA-interim? Impact of chosen reanalysis for meteo data needed for conversion is small GNSS4SWEC workshop Reykjavik, Iceland 8-10 March 2016

Frequency distribution Introduction Diurnal variation Seasonal cycle Frequency distribution ROB Seasonal cycle: Reykjavik example Auxiliary meteo data needed for the ZTDIWV conversion alter the ZTD seasonal cycle slightly Normalized seasonal cycle GNSS4SWEC workshop Reykjavik, Iceland 8-10 March 2016

Frequency distribution Introduction Diurnal variation Seasonal cycle Frequency distribution ROB Seasonal cycle: phase analysis earlier later

Frequency distribution Introduction Diurnal variation Seasonal cycle Frequency distribution ROB Seasonal cycle: amplitude analysis higher

Frequency distribution Introduction Diurnal variation Seasonal cycle Frequency distribution ROB Histograms: (normalized) frequency distribution REYK Normalized frequency distributions are very similar. GOMESCIA has a larger tail for the high-range IWV values (positive skew). GNSS4SWEC workshop Reykjavik, Iceland 8-10 March 2016

Frequency distribution Introduction Diurnal variation Seasonal cycle Frequency distribution ROB Histograms: (normalized) frequency distribution POTS GOMESCIA has sharper (normalized) frequency distribution. Are these differences related to retrieval strategy, geographical site properties, etc.? GNSS4SWEC workshop Reykjavik, Iceland 8-10 March 2016

Conclusions & Perspectives ROB Conclusions & Perspectives Preliminary results of the analysis on the short-term behaviour of the IWV field, retrieved by different techniques (GPS, satellite, reanalysis) >< long-term trends. No clear, consistent bias between the measurements/calculations taken at 0h/12h UTC.  Time difference between GOMESCIA and IGS/ERA-interim not --- -------significant for the agreement. IGS and ERA-Interim IWV capture similarly the IWV seasonal cycle, both in phase and amplitude, but the IGS ZTD time series show a slightly different seasonal cycle. GOMESCIA gives a slightly different seasonal cycle as IGS/ERA-interim. The geographical analysis of the IWV histograms at different sites needs further investigation. Homogenisation issues: sub-WG (splinter session at 14h) GNSS4SWEC workshop Reykjavik, Iceland 8-10 March 2016

Thank you! GNSS4SWEC workshop Reykjavik, Iceland 8-10 March 2016 painting by Jess Sutton Thank you! GNSS4SWEC workshop Reykjavik, Iceland 8-10 March 2016