Development towards inter-technique tropospheric parameter comparisons and their exploitation

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Development towards inter-technique tropospheric parameter comparisons and their exploitation J. Douša 1, S. Byram 2, G. Győri 1, O. Bӧhm 1, C. Hackman 2, F. Zus 3 1 Geodetic Observatory Pecný, RIGTC, Czech Republic 2 U.S. Naval Observatory, U.S.A. 3 GFZ German Research Center for Geosciences, Germany (jan.dousa@pecny.cz) IGS Workshop 2014, June 23-27, Pasadena 1

Motivations & Goals Tropospheric parameters from space geodetic techniques are side products along with estimating geodetic parameters of main interest However, various approximations still needed for tropospheric modeling: Separating hydrostatic/wet parts: ZTD = ZHD + ZWD Mapping to the zenith: STD (ele) = mf h ZHD + mf w ZWD Asymmetry modeling: STD (ele,azi) = STD(ele) + mf g (G N cosa + G E sina) Motivations complementary benefits for: Geodesy: assessments of tropospheric approximations as well as other models Geodesy: exploitation of external tropospheric parameters for positioning Meteorology: assimilation of ZTDs/STDs/gradients into numerical weather models Climatology: monitoring of long-term trends in integrated water vapor Goals: Intra-technique comparisons (GNSS or other space geodetic techniques) Inter-technique comparisons (independent evaluations) Additional functionalities QC, conversions, TS analyses, archive, user support

IGS TropoWG and GOP-TropDB development Gyori G, Dousa J (2014) GOP-TropDB developments for tropospheric product evaluation and monitoring design, functionality and initial results, In: IAG Symposia Series, Vol. 143 (accepted) 3

tgnss Database optimizations to deal with billions of records, various sources and data types, Data domain (basic design) Individual tables designed for specific data sources (different content), for example: tgnss tvlbi tdoris traobs twvr tnwm tsynop Time domain (partitioning) Table partitioning (on a yearly basis) Maintained by triggers (automated) Inherited features (single interface) Keep reasonable size for physical tables SQL commands (analysis) Optimizing command sequences, priorities, sampling, Very specific SQL domain tgnss_1996 tgnss_1997 tgnss_2014 Extensive data processing (vs. running costs) Optimized data batches for DB insert function (to minimize running costs) C/C++, perl outside DB or as embedded DB functions e.g. radiosonde, Numerical Weather Models 4

Data filling, pre-processing, processing, format issues Extract-Transform-Load (ETL) input procedures to decode (and pre-process) various input data formats to prepare and execute SQL command (INSERT / UPDATE) Input filter (decoders) Decoding format (data source) Insert SQL function Remarks Data type tro-snx-gnss2db.pl Tropo-SINEX finsertgnss ZTDs from IGS/EUREF products tro-snx-ivs2db.pl Tropo-SINEX (IVS) finsertvlbi ZTDs from IVS combined products tro-snx-ids2db.pl Tropo-SINEX (GOP) finsertdoris ZTDs from GOP tropospheric solutions rt-flt2db.pl G-Nut/Tefnut output finsertgnss ZTDs from GOP real-time analysis cost-trp2db.pl COST 716 format finsertgnss ZTDs from E-GVAP met-rnx2db.pl Meteo RINEX finsertinsit In situ meteorological data (GNSS) cost-met2db.pl COST Met format finsertsynop COST 716 meteorological data wvr2db.pl Radiometrics finsertwvr Radiometer data raobs2db.pl BADC old/new format finsertraobs BADC radiosonde integrated data raobs2db.pl EGVAP format finsertraobs EGVAP radiosonde integrated data raobs2db.pl IGRA format finsertraobs IGRA radiosonde integrated data cost-trp2db.pl COST 716 format finsertnwm ZTDs from NWM NWM nwm-shu2db.pl G-Nut/Shu (ECMWF,NCEP) finsertnwm NWM integrated data and decay params products nwm-dns2db.pl DNS (ECMWF,NCEP) finsertnwm NWM integrated data, gradients gpt2db.pl GPT2 model finsertgpt2 Global Pressure and Temperature Auxiliary geoid2db.pl EGM2008 model finsertgeoid EGM2008 geoid grid surf2db.pl ETOPO1 model finsertsurf ETOPO1 global relief grid Many formats! Official Tro-SINEX could help space geodetic technique products in situe meteorological observations models 5

NEW: Numerical Weather Model field data processing to provide background data information for DB functionality G-Nut/ Nut/Shu - developed at GOP for NWM data processing Calculate 2D tropospheric correction model or site-specific parameters time-series for DB Assess scenarios for vertical approximations, parameter calculations (ZWD, T m ) and others DNS - Direct Numerical Simulation - developed at GFZ (F. Zus) Highly efficient tool for thousands of NWM ray-traces in a second (a single standard CPU) NWM-derived mapping function coefficients & horizontal gradients ERA-Interim (in GOP-TropDB) Currently: 1990 2013 and continuously extended Full period processed in 1 x 1 grid for surface & vertical reduction parameters Auxiliary background model for GOP-TropDB - tropospheric ties, converting factors,. considering to include other NWMs (in E-GVAP and GNSS4SWEC projects) Site-specific extractions only (e.g. for IGS/IVS/IDS/EUREF site locations) Global and regional high-resolution models and predictions Assessment of NWM quality in support of GNSS processing and real-time positioning Providing a feedback for the NWM providers when compared w.r.t. GNSS products as reference 6

New tropospheric correction model for positioning default model for flexible support of GOPGOP-TropDB functionality Enhanced ZWD vertical approximation applied now in the GOP-TropDB Improved ZWD physical model of Askne and Nordius (1987) Requires to assess various NWM models as a potential input for GNSS real-time positioning Douša, Elia Douša, Eliašš, Václavovic Václavovic - Tropospheric correction model in support of Precise Point Positioning PS12 PS 12 Real Real--time Service - Poster Session Douša and Eliaš (2014) Douš An improved model for tropospheric wet delay, GRL 41 Global ERA-Interim data (2005-06-05:00)

Tropospheric ties new ZWD vertical reduction approximations for correcting altitude differences in ZTD comparisons Δ ZHD (Teke et al., 2011) Δ ZWD (Gyori and Dousa, 2014) Vertical decay parameter β, γ estimated from ERA-Interim background data set 0.0022768 ZWD ZWD 0 T0 p p 0 ZHD 1 0.00266 cos(2 ) 0.028 10 ( 1) g0 h h R 0 d 1 1 6 h 0 ZWD vertical reduction assessment via global ERA-Interim NWM data ZWD vertically approximated at different altitudes compared to integrated ZWDs Height 0-1 km 1-2 km 2-3 km 3-4 km 4-5 km 5-6 km 6-7 km 7-8 km UNB3 orig 11.4 20.7 20.2 19.9 15.3 13.2 10.4 7.9 New f(p) 8.2 7.4 5.5 6.5 5.6 5.6 5.0 3.7 New f(h) 8.3 7.4 5.5 6.5 5.7 5.6 5.0 3.7 Table shows r.m.s. of ZWD differences [mm] at various altitudes Dousa J, Elias M (2014), An improved model for tropospheric wet delay, GRL 41

Results of NCEP s GFS model (global scope) Zus et al. (2014) The rapid and precise computation of GPS slant delays and mapping factors utilizing a numerical weather model, Radio Science, 49(3) 207-216

Gradients from ERAERA-Interim model (in Europe) assessment of enhanced NWM data exploitation in positioning Zus et al (2014) The information content of GPS slant tropospheric delays @ Tropo Poster session

ERA-Interim long-term evaluation total statistics of ZTD from ERA-Interim compared to IGS (top) and EUREF (bottom) IGS EUREF

ERA-Interim long-term evaluation... monthly statistics of ZTD from ERA-Interim compared to IGS (top) and EUREF (bottom) Estimated Interpolated

DORIS GOP tropospheric assessment GOP DORIS tropospheric parameters compared to IGS finals:... revealed ZTD of 3 IDS stations significantly biased: AREQ, CHPI, SANT South Atlantic Anomaly identified affecting Spot 5 satellite GOP DORIS tropospheric solutions by P. Štěpánek (GOP) Stepanek P, Dousa J, Filler V (2013), SPOT-5 DORIS oscillator instability due to South Atlantic Anomaly: Mapping the effect and application of data corrective model, Adv. Space Res., 52(7):1355-1365

IVS long-term evaluation (preliminary) statistics of ZTD from VLBI compared to IGS (top) and EUREF (bottom) Note: To compare rigorously, we require to update input format and meta data availability IVS combined solutions by R. Heinkelman (GFZ)

Individual IGS AC tropo-product product comparison assessment of processing strategy CODE Repro2 ZTD results: COD COF period 1994-2013 which is more close to external data? 1. Very small differences in midnight 2. Assessment by radiosonde shows: positive results for COD (blue) positive results for COF (yellow/red) 17

Developing and other potential services Web-based interface to the GOP-TropDB (in development) shared effort between USNO & GOP interactive meta data inventory & visualization comparison results & statistics visualization (static) combination/multi-plots of various raw data outputs (dynamic) extraction for raw data, differences, auxiliary parameters Potential custom comparisons (or via GOP-TropDB dissemination) user specific data upload comparisons/visualizations of user-defined stations & time span Geographical view On-request comparison graph (from map/list selections) Interactive time-series

Considering data/functions dissemination specific development towards PUBLIC vs. USER area various dissemination scenarios for user support via login account at GOP (or USNO) or through web-interface via a regular DB source update and public data dumps (via database replication, web service etc.) Initial interest in two projects: GOP/USNO bilateral project in support of IGS TropoWG GNSS4SWEC project for meteorology/climatology applications User data User data Public data (e.g. reference GNSS) & GOP-TropDB functions User data (user functions) User data (user functions) 19

Summary and outlook Current work Focus on the background functionality development New tropospheric ties Sw tools for NWM data processing Background data from ECMWF s ERA-Interim (1990-present) Structure in support of extended goals (public/data, web-interfaces etc.) Preliminary functionality testing & visualization Rough comparison results (assess the potential) Static visualization (via time-series, geographical maps, total statistics, ) Outlook Focus on the foreground user-friendly interfaces Web-interfaces with on request functions DB data extractions Dissemination functions etc. Focus on detailed results of individual comparison, data souces New data sources (NWM, RAOBS, ) Additional parameters (meteo, gradients, slants) 20