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An Introduction to ROSA-ROSSA structure. G. Perona giovanni.perona@polito.it. SUMMARY ROSA-ROSSA Project overview ROSA-ROSSA Processing Chain overview ROSA-ROSSA Web Science GRID Why GRID? ROSA -ROSSA Validation “philosophy”. ROSA – ROSSA Project Overview
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An Introduction to ROSA-ROSSA structure G. Perona giovanni.perona@polito.it
SUMMARY ROSA-ROSSA Project overview ROSA-ROSSA Processing Chain overview ROSA-ROSSA Web Science GRID Why GRID? ROSA-ROSSA Validation “philosophy”
ROSA – ROSSA Project Overview ROSA - Researchand Operational Satelliteand Software Activities CISAS Università di Padova Politecnico di Torino ICTP Trieste Università di Camerino Università “La Sapienza” di Roma Space Geodesy Center (CGS) Operative Ground Segm
QUALITY CHK ROSA-ROSSA Processing Chain Overview RAW DATA GROUND FIDUCIAL NETWORK IGS/GPS ASI (Cosmo Skymed) ROSA ROSA RO Data ROSA Navig Data ASI – CGS / NRSA DG_QC1A GROUNDFIDUCIAL NETWORK DATA GPS/OCEANSAT-2 ORBITAL DETERMINATION & PREDICTION SWOrD Support Data for POD RO EVENT EXCESS PHASES AND OCCULTATION TABLES DOPPLER MODEL FOR OPEN-LOOP Numerical Weather Predictions BENDINGS VS IMPACT PARAMETERSonL1 and L2 DG_BEND Data Generators (DG) of the ROSA-ROSSA SOFTWARE for OCEANSAT-2 BENDINGS VS IMPACT PARAMETERS IONO FREE DG_BDIF STRATOSPHERIC INITIALIZATION OF BENDINGS AND IMPACT PARAMETERS Climatological Models DG_BISI REFRACTIVITY, TEMPERATURE AND PRESSURE PROFILES (DRY AIR) DG_NREF ELECTRON DENSITY PROFILES DG_DELN DG_ATMO WATER VAPOUR PROFILES Numerical Weather Predictions
DATA BASE Processing Chain Overview: The WEB SCIENCE GRID DATA SOURCES + GRID ASI WEB SCIENCE GRID GRID PROCESS MONITOR
The ROSA-ROSSA Grid Application XXXX JAVA Application for the Data Generators development XXXX XXXX XXXX XXXX XXXX XXXX Grid Status
The ROSA-ROSSA Grid Application Jobs progress execution overview
The ROSA-ROSSA Grid Application CHAIN PROCESSING TIME (3 RO EVENTS) DA = Distributed Architecture NDA = Non-Distributed Architecture
The ROSA-ROSSA Grid Application Tangentpoint position
DATA SETS Satell #1 Satell #2 Satell #N WHY GRID ??? Extensive distributed processing of Radio Occultation data USER X DG_2 ver 1.0 DG_3 ver 1.0 3 DG_1 ver 1.0 DG_2 ver 2.0 DG_1 ver 2.0 DG_3 ver 2.0 USER Y DG_3 ver 3.0 DG_1 ver 3.0 USER Z USER W OUTPUT
DATA SETS Satell #1 Satell #2 Satell #N OUTPUT I° Extraction of RO products USER X USER Y USER Z DG_3 ver 1.0 3 DG_1 ver 1.0 DG_2 ver 1.0 DG_2 ver 2.0 DG_3 ver 2.0 DG_1 ver 2.0 USER V DG_1 ver 3.0 DG_3 ver 3.0 USER W WHY GRID ?
DATA SETS Satell #1 Satell #2 Satell #N OUTPUT Data processing through different Data Generator releases II° USER X USER Y USER Z DG_3 ver 1.0 3 DG_1 ver 1.0 DG_2 ver 1.0 DG_2 ver 2.0 DG_3 ver 2.0 DG_1 ver 2.0 USER V DG_1 ver 3.0 DG_3 ver 3.0 USER W WHY GRID ?
DATA SETS Satell #1 Satell #2 Satell #N OUTPUT III° Data Processing exploiting a DG release developed by his own USER X USER Y USER Z DG_3 ver 1.0 3 DG_1 ver 1.0 DG_2 ver 1.0 DG_2 ver 2.0 DG_3 ver 2.0 DG_1 ver 2.0 USER V DG_1 ver 3.0 DG_3 ver 3.0 USER W DG_2 Ver USER Z WHY GRID ?
RAW DATA of new (future) RO missions IV° USER X USER Y USER Z DG_1 ver 1.0 DG_3 ver 1.0 3 DG_2 ver 1.0 DG_2 ver 2.0 DG_3 ver 2.0 DG_1 ver 2.0 USER V DG_1 ver 3.0 DG_3 ver 3.0 USER W WHY GRID ? OUTPUT
DATA SETS Satell #1 Satell #2 Satell #N OUTPUT Open the grid opportunity to other scientific exploitation of RO data and other international research groups V° USER X USER Y USER Z DG_3 ver 1.0 3 DG_1 ver 1.0 DG_2 ver 1.0 DG_2 ver 2.0 DG_3 ver 2.0 DG_1 ver 2.0 USER V DG_1 ver 3.0 DG_3 ver 3.0 USER W GPS ALTIMETRY, SCATTEROMETRY or other applications WHY GRID ?
ROSA – ROSSA VALIDATION • BENCHMARK DATA. DO THEY EXIST? • First Level BENCHMARK (Reality): punctual external measurements directly comparable with RO measurements probably do not exist. Comparing RO measurements with the corresponding averages of measured atmospheric parameters: needed measure data not yet available.
RESOLUTIONS • Cross-track Resolution • Δz ~ 2 km in stratosphere • ~ 0.5-0.1 km in the lower troposphere • Δx ~ 2 km GPS LEO • Along-track Resolution • Δy ~ 600 km in stratosphere • ~ 200 km in in the lower troposphere ROSA – ROSSA VALIDATION • BENCHMARK DATA. DO THEY EXIST? • First Level BENCHMARK (Reality): punctual external measurements directly comparable with RO measurements probably do not exist. Comparing RO measurements with the corresponding averages of measured atmospheric parameters: needed measure data not yet available.
ROSA – ROSSA VALIDATION • BENCHMARK DATA. DO THEY EXIST? • First Level BENCHMARK (Reality): punctual external measurements directly comparable with RO measurements probably do not exist. Comparing RO measurements with the corresponding averages of measured atmospheric parameters: needed measure data not yet available. • Second Level BENCHMARK (Numerical WeatherRe-analysis e/o radiosoundings, etc.): how good are such data to represent reality? • Third Level BENCHMARK (OUTPUT of similar SOFTWAREs): but, are these output a good representation of reality? Anyway, VALIDATION is a statistical activity
ROSA – ROSSA VALIDATION Quality Check of ROSA level 1a data DG_QC1A
ROSA – ROSSA VALIDATION Actually First Level and Second Level BENCHMARKS do not exist Orbits SWOrD Excess phases (Excess Doppler) DG_BEND DG_BDIF DG_BISI DG_NREF DG_ATMO DG_DELN
ROSA – ROSSA VALIDATION Actually First Level and Second Level BENCHMARKS do not exist Orbits SWOrD Excess phases (Excess Doppler) DG_BEND First LevelBENCHMARKS do not exist. Second Level can be produced considering (a) evaluated through NWP models optimized (a) iono-free DG_BDIF DG_BISI DG_NREF DG_ATMO DG_DELN
ROSA – ROSSA VALIDATION Actually First Level and Second Level BENCHMARKS do not exist Orbits SWOrD Excess phases (Excess Doppler) DG_BEND First LevelBENCHMARKS do not exist. Second Level can be produced considering (a) evaluated through NWP models optimized (a) iono-free DG_BDIF DG_BISI DG_NREF n(h) DG_ATMO DG_DELN
Abel Inversion (spherical simmetry) evaluates refractive index value (n) through • (n is a weigthed measurement of a 300 km atmosphere) • 2) n is localized in the trajectory perigee • (during the occultation it is moving also in latitude and longitude) • 3) A Benchmark dataset should be spatially and temporally colocated with the perigee points • First Level Benchmark with such characteristics do not exist ROSA – ROSSA VALIDATION Orbits SWOrD Excess phases (Excess Doppler) DG_BEND optimized (a) iono-free DG_BDIF DG_BISI DG_NREF n(h) DG_ATMO DG_DELN
ROSA – ROSSA VALIDATION Orbits Second Level Benchmark SWOrD Excess phases (Excess Doppler) A good co-location should be A) < 1,5 hours from occultation obs. B) < 300 km from occultation point Consequently, Second Level Benchmarks could be: DG_BEND optimized (a) iono-free DG_BDIF DG_BISI DG_NREF n(h) Radiosoundings (Critical respect to A e B) ECMWF/NCEP Re-Analysis (Critical respect to A) and approximating the reality Hi-Res NWMs (Critical respect to A and under limited areas) and approximating the reality DG_ATMO DG_DELN
ROSA – ROSSA VALIDATION Actually First Level and Second Level BENCHMARKS do not exist Orbits SWOrD Excess phases (Excess Doppler) DG_BEND Actually First Level and Second Level BENCHMARKS do not exist optimized (a) iono-free DG_BDIF DG_BISI DG_NREF n(h) Radiosoundings, ECMWF/NCEP, Hi-Res NWMs Radiosoundings, ECMWF/NCEP, Hi-Res NWMs T(h), pwet(h), Specific Humidity (h) DG_ATMO DG_DELN
ROSA – ROSSA VALIDATION Actually First Level and Second Level BENCHMARKS do not exist Orbits SWOrD Excess phases (Excess Doppler) DG_BEND Actually First Level and Second Level BENCHMARKS do not exist optimized (a) iono-free DG_BDIF DG_BISI DG_NREF n(h) Radiosoundings, ECMWF/NCEP, Hi-Res NWMs Radiosoundings, ECMWF/NCEP, Hi-Res NWMs T(h), pwet(h), Specific Humidity (h) DG_ATMO DG_DELN Ne(h) Actually First Level BENCH. does not exist and Second Level BENCHMARK is not foreseen
(a) N(h) SUMMARY OF SESSION 2b PROCESSING CHAINS – GRAS AND ROSA Products ORBIT PREDICTION VALIDATION (CISAS) Orbits, Excess phases BENDING AND REFRACTIVITY PROFILES (ISMB)
ELECTRON DENSITY PROFILES (ISMB - ICTP) TEMPERATURE, RELATIVE HUMIDITY WATER VAPOUR PARTIAL PRESSURE (UNICAM -ISMB) T(h), WV(h) Ne(h) Data Processing Center DESCRIPTION (INNOVA)
II° NATIONAL MEETING ON HYDROLOGY AND METEOROLOGY Press conference at the FIERA DI ROMA – Boat Show 27 February, 2009 PALERMO – 5-10 October, 2009 A special session on RADIO OCCULTATION and ROSA related activities is foreseen