Daily Coordinate Time Series February 15, 2012 November 9, 2018 Y. Bock - expanded to include raw time series Feb 12, 2019 A. Moore - corrections to Clean and Raw descriptions and reordering Feb 13, 2019 Y. Bock - reorder so definitions are first, revised comments Tar files created by ATS processing at SOPAC for NASA MEaSUREs project (at http://garner.ucsd.edu/pub/timeseries/measures/ats/WesternNorthAmerica/) ------------- PRODUCTS ------------------------- Definitions: Raw: Original estimated time series with large outliers removed Cleaned Trended ("Clean_Trend"): Mean, outliers, coseismic jumps, and non-seismic jumps are removed Cleaned Detrended ("Clean_Detrend"): Mean, trend, outliers, coseismic jumps, and non-seismic jumps are removed Filtered: Principal Component Analysis (PCA) filter is generated and then applied to the cleaned time series Residuals ("Resid"): Difference between all estimated model values and the cleaned or filtered time series points Combination Time Series: Filtered Combination (available for Western North American stations processed) WNAM_Filter_TrendNeuTimeSeries_comb_yyyymmddd.tar WNAM_Filter_DetrendNeuTimeSeries_comb_yyyymmddd.tar WNAM_Filter_ResidNeuTimeSeries_comb_yyyymmdddd.tar Cleaned Combination (available for all stations processed) WNAM_Clean_TrendNeuTimeSeries_comb_yyyymmddd.tar WNAM_Clean_DetrendNeuTimeSeries_comb_yyyymmddd.tar WNAM_Clean_ResidNeuTimeSeries_comb_yyyymmddd.tar Individual JPL (GIPSY) and SOPAC (GAMIT) Time Series: Filtered and Cleaned: Substitute "sopac" or "jpl" for "comb" in the filenames above. Raw WNAM_Raw_TrendNeuTimeSeries_sopac_yyyymmddd.tar WNAM_Raw_TrendNeuTimeSeries_jpl_yyyymmddd.tar Details: (See also directories under http://garner.ucsd.edu/pub/timeseries/measures/ats/) ------------------------------------ Cleaned (using analyze_tseri): outliers are determined by several criteria defined in the input driver file From the driver documentation: weak_obs (big sigma) criteria: give criteria based on the formal errors. If at one epoch, the formal sigmas of one site are bigger than the specified criteria, the solution of this site at this epoch will be ignored. This command provides another way to avoid weak solutions to contaminate the time series analysis. The unit is mm. The order is e, n, up. outlier (big o-c) criteria mm: give criteria based on the postfit residuals. If at one epoch, the residuals of one site are bigger than the specified criteria, the solution of this site at this epoch will be ignored. This command prevents outliers from contaminating the time series analysis results. The order is e, n, up. very bad_observation criteria mm: If the data have very bad observations, the initial adjustments will be biased. Then the residuals are not accurate and some good observations will be considered as outliers. To avoid this case, we set bad_obs to remove very bad observations before the adjustment. The default is 3000000 mm. The order is e, n, up. From the current driver file: weak_obs (big sigma) criteria (mm) : 20.0 20.0 40.0 outlier (big o-c) criteria (mm) : 25.0 25.0 35.0 very bad_obs criteria (mm) : 1000.0 1000.0 3000.0 Filtered: a Principal Component Analysis (PCA) filter is generated and then applied to the cleaned time series using analyze_tseri. PCA parameters in the pca driver file: network range (sit_range - longitude and latitude, decimal degrees): 200.0 260.1 31.0 80.5 outlier_sigma criterion (enu, mm): 50.0 50.0 100.0 outlier_value criterion (enu, mm): 100.0 100.0 300.0 minimum data percentage (cut_p): 10.0 minimum station percentage (cut_t): 3.0 reference frame: WGS84 reference coordinate, rtime: geodetic 2014.000 ------------------ inputFiles -------------------------- source_itrf.net - reference lat, long and ht for all sites for that source omit_span.list - list of time spans omitted for various sites On-line documentation (verified 11/9/2018): http://qoca.jpl.nasa.gov/advclass/tutor_adv.html st_filter: http://qoca.jpl.nasa.gov/extclass/st_intro.html PCA: http://qoca.jpl.nasa.gov/extclass/pca_intro.html ATS: http://qoca.jpl.nasa.gov/advclass/tsa_intro.html