Royal Meteorological Institute of Belgium

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Royal Meteorological Institute of Belgium 1 Royal Observatory of Belgium 2 Belgian Institute for Space Aeronomy 3 Max Planck Institute for Chemistry 4 Solar-Terrestrial Centre of Excellence 5 Assessment of IGS repro1 IWV trends by comparison with ERA-interim and GOMESCIA satellite data R. Van Malderen1,5, E. Pottiaux2,5, H. Brenot3,5, S. Beirle4, T. Wagner 4, H. De Backer1, and C. Bruyninx2,5 GNSS4SWEC-WG3 workshop, Thessaloniki, 11-13/05/2015

Outline Introduction: inter-technique comparison ROB Outline Introduction: inter-technique comparison Sensitivity analysis of meteorological variables IWV trends and correlations Conclusions and perspectives GNSS4SWEC workshop Thessaloniki, Greece 11-13 May 2015

IWV trends & correlations Conclusions & perspectives Introduction Sensitivity analysis IWV trends & correlations Conclusions & perspectives ROB Van Malderen, R., Brenot, H., Pottiaux, E., Beirle, S., Hermans, C., De Mazière, M., Wagner, T., De Backer, H., and Bruyninx, C.: A multi-site intercomparison of integrated water vapour observations for climate change analysis, Atmos. Meas. Tech., 7, 2487-2512, doi:10.5194/amt-7-2487-2014, 2014. IWV techniques intercomparison at 28 sites world-wide (NH) IGS CIMEL radiosondes GOMESCIA AIRS GNSS4SWEC workshop Thessaloniki, Greece 11-13 May 2015

IWV trends & correlations Conclusions & perspectives Introduction Sensitivity analysis IWV trends & correlations Conclusions & perspectives ROB GNSS4SWEC workshop Thessaloniki, Greece 11-13 May 2015 IGS stations selected (homogenous processing for data since 1995 to 2011)

IWV trends & correlations Conclusions & perspectives Introduction Sensitivity analysis IWV trends & correlations Conclusions & perspectives ROB Zenith Total Delay (ZTD) Tm water-vapour-weighted atmospheric mean temperature ps synop stations reanalyses Tm = 70.2 + 0.72Ts Bevis et al. 1992 NWP models (reanalyses) NCEPNCAR (I+II) ERA-interim Ts Integrated water vapour (IWV)  sensitivity analysis of ps, Tm, Ts , and data sources by isolating the  influence of a given parameter/dataset GNSS4SWEC workshop Thessaloniki, Greece 11-13 May 2015

IWV trends & correlations Conclusions & perspectives Introduction Sensitivity analysis IWV trends & correlations Conclusions & perspectives ROB   bias (mm) abs bias (mm) SD R² trend (mm/dec) abs trend (mm/dec) [a] Tm ERA: influence IGS data IWV ERA -0.313±1.011 0.669±0.818 3.807 0.962 -0.102±0.457 0.322±0.338 [b] Tm ERA: influence Ps TmERA P synop* -0.200±0.614 0.031±0.611 0.301±0.570 0.357±0.494 7.575 0.786 0.961 0.989 -0.290±0.752 0.052±0.401 0.353±0.724 0.277±0.292 [c] T ERA P synop: influence Ts TP synop* 0.009±0.025 0.267±0.622 0.020±0.017 0.503±0.447 0.029 2.878 1.000 0.979 0.013±0.244 -0.197±0.879 0.107±0.219 0.502±0.744 [d] Tm ERA: influence Bevis et al. regression TP ERA 0.044±0.092 0.508±1.583 0.069±0.075 1.235±1.108 0.025 8.099 1.000 0.804 -0.004±0.031 -0.101±0.213 0.018±0.025 0.188±0.140 [e] Tm ERA P synop: influence Ts and Bevis et al. regression 0.026±0.071 0.051±0.055 0.052 1.000 0.001±0.248 0.110±0.221 [f] Tm ERA: influence reanalysis dataset Tm NCEP -0.034±0.286 0.168±0.233 0.154 0.995 -0.015±0.144 0.083±0.118 [g] Tm ERA: observational vs. reanalysis dataset -0.073±0.403 0.223±0.342 4.705 0.971 -0.210±0.667 0.259±0.649

IWV trends & correlations Conclusions & perspectives Introduction Sensitivity analysis IWV trends & correlations Conclusions & perspectives ROB IWV trends [mm/dec] 1997-Mar 2011 IGS, Tm ERAinterim

IWV trends & correlations Conclusions & perspectives Introduction Sensitivity analysis IWV trends & correlations Conclusions & perspectives ROB IWV trends [mm/dec] 1997-Mar 2011 ERAinterim

IWV trends & correlations Conclusions & perspectives Introduction Sensitivity analysis IWV trends & correlations Conclusions & perspectives ROB IWV trends [mm/dec] 1997-Mar 2011 GOMESCIA

IWV trends & correlations Conclusions & perspectives Introduction Sensitivity analysis IWV trends & correlations Conclusions & perspectives ROB IWV trends [mm/dec] 1997-Mar 2011 IGS, Tm ERAinterim

IWV trends & correlations Conclusions & perspectives Introduction Sensitivity analysis IWV trends & correlations Conclusions & perspectives ROB Trend examples large differences in IWV trends between the data sources at a given site site dependent! homogeneity of the IWV data sources!?! GNSS4SWEC workshop Thessaloniki, Greece 11-13 May 2015

IWV trends & correlations Conclusions & perspectives Introduction Sensitivity analysis IWV trends & correlations Conclusions & perspectives ROB Homogeneity check We calculated the “change points” of IWV differences of all stations of IGS_TmERAinterim – ERAinterim IGS_TmNCEPNCAR – NCEPNCAR IGS_TmERAinterim – NCEPNCAR IGS_TmNCEPNCAR – ERAinterim … point-by-point and for monthly means @0h, 12h, 0h+12h … by three different statistical tests (Pettitt-Mann-Whitney, Mann-Whitney-Wilcoxon, … Cumulative Sum technique*) to be extended to GOMESCIA dataset results are to be interpreted (identified change points should be linked to known changes in instrument, reanalysis changes) we are open to compare/collaborate with other groups working on this, considering to host a GNSS4SWEC thematic sub-WG meeting @ Brussels! GNSS4SWEC workshop Thessaloniki, Greece 11-13 May 2015 *described in e.g. Van Malderen & De Backer, JGR, 2010

IWV trends & correlations Conclusions & perspectives Introduction Sensitivity analysis IWV trends & correlations Conclusions & perspectives ROB Trend correlations: between data sources 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 Thessaloniki, Greece 11-13 May 2015

IWV trends & correlations Conclusions & perspectives Introduction Sensitivity analysis IWV trends & correlations Conclusions & perspectives 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 Thessaloniki, Greece 11-13 May 2015

IWV trends & correlations Conclusions & perspectives Introduction Sensitivity analysis IWV trends & correlations Conclusions & perspectives ROB Trend correlations: between Ts and IWV IGS GOMESCIA ERA-interim A physical law (the Clausius-Clapeyron equation) tells us that the water holding capacity of the atmosphere goes up at about 7% per degree Celsius/Kelvin increase in temperature This is not well established by our datasets, in particular for GOMESCIA! GNSS4SWEC workshop Thessaloniki, Greece 11-13 May 2015

IWV trends & correlations Introduction Sensitivity analysis IWV trends & correlations Conclusions & perspectives ROB GPS IWV trends are not too strongly affected by the used meteorological dataset  the trends are really in the Zenith Total Delay data  the surface pressure has the largest impact Data screening (especially the 0h data at some stations) and homogenisation should be further developed. The IWV trends based on the IGS ZTDs agree fairly well with model reanalysis trends, stronger deviations with completely independent GOMESCIA trends. What is the impact of the cloud cover on the GOMESCIA trends? Link between IWV trends and temperature trends as function of geographical location, altitude, etc. GPS IWV trends are not too strongly affected by the used meteorological dataset  the trends are really in the Zenith Total Delay data  the surface pressure has the largest impact Data screening (especially the 0h data at some stations) and homogenisation should be further developed. The IWV trends based on the IGS ZTDs agree fairly well with model reanalysis trends, stronger deviations with completely independent GOMESCIA trends. What is the impact of the cloud cover on the GOMESCIA trends? Link between IWV trends and temperature trends as function of geographical location, altitude, etc. GNSS4SWEC workshop Thessaloniki, Greece 11-13 May 2015

Thank you! GNSS4SWEC workshop Thessaloniki, Greece 11-13 May 2015 painting by Jess Sutton Thank you! GNSS4SWEC workshop Thessaloniki, Greece 11-13 May 2015