An Introduction to ROSA-ROSSA structure G. Perona

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Presentation transcript:

An Introduction to ROSA-ROSSA structure G. Perona

SUMMARY ROSA-ROSSA Project overview ROSA-ROSSA Processing Chain overview ROSA-ROSSA Web Science GRID Why GRID? ROSA-ROSSA Validation “philosophy”

Space Geodesy Center (CGS) Politecnico di Torino Università di Camerino Università “La Sapienza” di Roma CISAS Università di Padova ICTP Trieste ROSA – ROSSA Project Overview ROSA - Research and Operational Satellite and Software Activities Operative Ground Segm

Numerical Weather Predictions DG_NREF ASI – CGS / NRSA RO EVENT EXCESS PHASES AND OCCULTATION TABLES REFRACTIVITY, TEMPERATURE AND PRESSURE PROFILES (DRY AIR) GPS/OCEANSAT-2 ORBITAL DETERMINATION & PREDICTION BENDINGS VS IMPACT PARAMETERS on L 1 and L 2 BENDINGS VS IMPACT PARAMETERS IONO FREE STRATOSPHERIC INITIALIZATION OF BENDINGS AND IMPACT PARAMETERS Climatological Models WATER VAPOUR PROFILES ELECTRON DENSITY PROFILES DOPPLER MODEL FOR OPEN-LOOP GROUND FIDUCIAL NETWORK DATA Numerical Weather Predictions ROSA-ROSSA Processing Chain Overview SWOrD DG_BEND DG_BDIF DG_BISI DG_ATMO DG_DELN Data Generators (DG) of the ROSA-ROSSA SOFTWARE for OCEANSAT-2 QUALITY CHK DG_QC1A Support Data for POD RAW DATA GROUND FIDUCIAL NETWORK IGS/GPS ASI (Cosmo Skymed) ROSA ROSA RO Data ROSA Navig Data

WEB SCIENCE GRID Processing Chain Overview: The WEB SCIENCE GRID DATA SOURCES + GRID ASI GRID PROCESS MONITOR DATA BASE

Grid Status XXXX JAVA Application for the Data Generators development 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

Tangent point position The ROSA-ROSSA Grid Application

WHY GRID ??? Extensive distributed processing of Radio Occultation data DG_1 ver 1.0 DG_1 ver 2.0 DG_1 ver 3.0 DG_2 ver 1.0 DG_2 ver 2.0 DG_3 ver DG_3 ver 2.0 DG_3 ver 3.0 DATA SETS Satell #1Satell #2 Satell #N USER X USER Y USER Z USER W

USER X USER Y USER V USER Z DG_1 ver 1.0 DG_1 ver 2.0 DG_1 ver 3.0 DG_2 ver 1.0 DG_2 ver 2.0 DG_3 ver DG_3 ver 2.0 DG_3 ver 3.0 DATA SETS Satell #1Satell #2 Satell #N Extraction of RO products I° USER W WHY GRID ?

USER X USER Y USER V USER Z DG_1 ver 1.0 DG_1 ver 2.0 DG_1 ver 3.0 DG_2 ver 1.0 DG_2 ver 2.0 DG_3 ver DG_3 ver 2.0 DG_3 ver 3.0 DATA SETS Satell #1Satell #2 Satell #N Data processing through different Data Generator releases II° USER W WHY GRID ?

USER X USER Y USER V USER Z DG_1 ver 1.0 DG_1 ver 2.0 DG_1 ver 3.0 DG_2 ver 1.0 DG_2 ver 2.0 DG_3 ver DG_3 ver 2.0 DG_3 ver 3.0 DATA SETS Satell #1Satell #2 Satell #N Data Processing exploiting a DG release developed by his own DG_2 Ver USER Z III° USER W WHY GRID ?

USER X USER Y USER V USER Z DG_1 ver 1.0 DG_1 ver 2.0 DG_1 ver 3.0 DG_2 ver 1.0 DG_2 ver 2.0 DG_3 ver DG_3 ver 2.0 DG_3 ver 3.0 RAW DATA of new (future) RO missions IV° USER W WHY GRID ?

USER X USER Y USER V USER Z DG_1 ver 1.0 DG_1 ver 2.0 DG_1 ver 3.0 DG_2 ver 1.0 DG_2 ver 2.0 DG_3 ver DG_3 ver 2.0 DG_3 ver 3.0 DATA SETS Satell #1Satell #2 Satell #N GPS ALTIMETRY, SCATTEROMETRY or other applications V° Open the grid opportunity to other scientific exploitation of RO data and other international research groups WHY GRID ? USER W

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. ROSA – ROSSA VALIDATION RESOLUTIONS GPS LEO Cross-track Resolution Δz ~ 2 km in stratosphere ~ km in the lower troposphere Δx ~ 2 km Along-track Resolution Δy ~ 600 km in stratosphere ~ 200 km in in the lower troposphere

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 Weather Re-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? ROSA – ROSSA VALIDATION Anyway, VALIDATION is a statistical activity

Quality Check of ROSA level 1a data DG_QC1A ROSA – ROSSA VALIDATION

SWOrD DG_BEND DG_BDIF DG_BISI DG_NREF DG_ATMO DG_DELN Orbits Excess phases (Excess Doppler) ROSA – ROSSA VALIDATION Actually First Level and Second Level BENCHMARKS do not exist

SWOrD DG_BEND DG_BDIF DG_BISI DG_NREF DG_ATMO DG_DELN Orbits Excess phases (Excess Doppler) optimized  (a) iono-free ROSA – ROSSA VALIDATION Actually First Level and Second Level BENCHMARKS do not exist First Level BENCHMARKS do not exist. Second Level can be produced considering  (a) evaluated through NWP models

SWOrD DG_BEND DG_BDIF DG_BISI DG_NREF DG_ATMO DG_DELN Orbits Excess phases (Excess Doppler) optimized  (a) iono-free ROSA – ROSSA VALIDATION Actually First Level and Second Level BENCHMARKS do not exist First Level BENCHMARKS do not exist. Second Level can be produced considering  (a) evaluated through NWP models n(h)

SWOrD DG_BEND DG_BDIF DG_BISI DG_NREF DG_ATMO DG_DELN Orbits Excess phases (Excess Doppler) optimized  (a) iono-free 1)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 n(h)

optimized  (a) iono-free SWOrD DG_BEND DG_BDIF DG_BISI DG_NREF DG_ATMO DG_DELN Orbits Excess phases (Excess Doppler) 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 Second Level Benchmark 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: ROSA – ROSSA VALIDATION

SWOrD DG_BEND DG_BDIF DG_BISI DG_NREF DG_ATMO DG_DELN Orbits Excess phases (Excess Doppler) optimized  (a) iono-free Actually First Level and Second Level BENCHMARKS do not exist Radiosoundings, ECMWF/NCEP, Hi-Res NWMs T(h), p wet (h), Specific Humidity (h) Radiosoundings, ECMWF/NCEP, Hi-Res NWMs n(h) ROSA – ROSSA VALIDATION

SWOrD DG_BEND DG_BDIF DG_BISI DG_NREF DG_ATMO DG_DELN Orbits Excess phases (Excess Doppler) optimized  (a) iono-free Actually First Level and Second Level BENCHMARKS do not exist Radiosoundings, ECMWF/NCEP, Hi-Res NWMs T(h), p wet (h), Specific Humidity (h) Radiosoundings, ECMWF/NCEP, Hi-Res NWMs n(h) N e (h) Actually First Level BENCH. does not exist and Second Level BENCHMARK is not foreseen ROSA – ROSSA VALIDATION

ORBIT PREDICTION VALIDATION (CISAS) BENDING AND REFRACTIVITY PROFILES (ISMB) N (h)  (a) Orbits, Excess phases SUMMARY OF SESSION 2b PROCESSING CHAINS – GRAS AND ROSA Products

TEMPERATURE, RELATIVE HUMIDITY WATER VAPOUR PARTIAL PRESSURE (UNICAM - ISMB) ELECTRON DENSITY PROFILES (ISMB - ICTP) T (h), WV (h) N e (h) Data Processing Center DESCRIPTION (INNOVA)

PALERMO – 5-10 October, 2009 A special session on RADIO OCCULTATION and ROSA related activities is foreseen II° NATIONAL MEETING ON HYDROLOGY AND METEOROLOGY Press conference at the FIERA DI ROMA – Boat Show 27 February, 2009