National Aeronautics and Space Administration Aquarius Validation Data System Overview and Status Algorithm Workshop March 21-22, 2007 John Gunn Earth.

Slides:



Advertisements
Similar presentations
Aquarius Validation Data System John Gunn 6 th Science Meeting Seattle, WA, USA July 2010.
Advertisements

Development of Quality Monitoring System on satellite Sea Surface Salinity Products Yongsheng Zhang NESDIS/NODC – UMD College Park/ESSIC/CICS.
Information Retrieval in Practice
--What is a Database--1 What is a database What is a Database.
Chapter 12: ADO.NET and ASP.NET Programming with Microsoft Visual Basic.NET, Second Edition.
GLAST LAT ProjectISOC Peer Review - March 2, 2004 Document: LAT-PR Section 2.1 Requirements 1 Gamma-ray Large Area Space Telescope GLAST Large.
Aquarius/SAC-D Mission Error Validation and Early Orbit Corrections Gary Lagerloef 6 th Science Meeting; Seattle, WA, USA July 2010.
Aquarius/SAC-D Mission Error Validation and Early Orbit Corrections Gary Lagerloef 6 th Science Meeting; Seattle, WA, USA July 2010.
09 May 2014page 1 ROCC to PPL ICD Initial Definition ExoMars Rover Operations Control Center ROCC.
MWR Algorithms (Wentz): Provide and validate wind, rain and sea ice [TBD] retrieval algorithms for MWR data Between now and launch (April 2011) 1. In-orbit.
Overview of Search Engines
Overview of the ODP Data Provider Sergey Sukhonosov National Oceanographic Data Centre, Russia Expert training on the Ocean Data Portal technology, Buenos.
PHASE 3: SYSTEMS DESIGN Chapter 7 Data Design.
Coordinated Energy and water-cycle Observations Peroject A Well Organized Data Archive System Data Integrating/Archiving Center at University of Tokyo.
ProvideX Data Dictionary & Views System Presented by: Patrizio Lucci.
Databases C HAPTER Chapter 10: Databases2 Databases and Structured Fields  A database is a collection of information –Typically stored as computer.
NASA/ESA Interoperability Efforts CEOS Subgroup - CINTEX Alexandria, Sept 12, 2002 Ananth Rao Yonsook Enloe SGT, Inc.
AERONET Web Data Access and Relational Database David Giles Science Systems and Applications, Inc. NASA Goddard Space Flight Center.
MASSACHUSETTS INSTITUTE OF TECHNOLOGY NASA GODDARD SPACE FLIGHT CENTER ORBITAL SCIENCES CORPORATION NASA AMES RESEARCH CENTER SPACE TELESCOPE SCIENCE INSTITUTE.
The National Center for Atmospheric Research is operated by the University Corporation for Atmospheric Research under sponsorship of the National Science.
Aquarius Project Status 7 th Aquarius/SAC-D Science Team Meeting 11 April 2012.
ATMOSPHERIC SCIENCE DATA CENTER ‘Best’ Practices for Aggregating Subset Results from Archived Datasets Walter E. Baskin 1, Jennifer Perez 2 (1) Science.
Java CGI Lecture notes by Theodoros Anagnostopoulos.
John T. Gunn, AVDS Manager Earth & Space Research 1910 Fairview Ave. E., Suite 210 Seattle, WA Ph: ; 1 st Joint GOSUD/SAMOS.
Generic Instrument Processing Facility Interface Specifications A. BuongiornoFrascati 12 /10/2012 ESA EOP-GS 1.
MODIS Sea-Surface Temperatures for GHRSST-PP Robert H. Evans & Peter J. Minnett Otis Brown, Erica Key, Goshka Szczodrak, Kay Kilpatrick, Warner Baringer,
Jasmine S. Nahorniak Mark R. Abbott Ricardo M. Letelier Curt Vandetta Bridges to the Community NASA grant NNG05GA73G International EOS/NPP Direct Broadcast.
 2004 Prentice Hall, Inc. All rights reserved. 1 Segment – 6 Web Server & database.
8th IOCCG Meeting in Florence, Italy (24-26 Feb 03) Current Status of MODIS (Terra and Aqua) by Chuck Trees for the MODIS Team Members.
1 Welcome to CSC 301 Web Programming Charles Frank.
Lesson Overview 3.1 Components of the DBMS 3.1 Components of the DBMS 3.2 Components of The Database Application 3.2 Components of The Database Application.
IS 325 Notes for Wednesday August 28, Data is the Core of the Enterprise.
September 4, 2003MODIS Ocean Data Products Workshop, Oregon State University1 Goddard Earth Sciences (GES) Distributed Active Archive Center (DAAC) MODIS.
MODIS OCEAN QA Browse Imagery (MQABI Browse Tool) NASA Goddard Space Flight Center Sept 4, 2003
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 In Situ SST for Satellite Cal/Val and Quality Control Alexander Ignatov.
Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR2 NRT Land, Atmosphere Near real-time Capability for EOS (LANCE) Helen Conover Information.
Experiment Management System CSE 423 Aaron Kloc Jordan Harstad Robert Sorensen Robert Trevino Nicolas Tjioe Status Report Presentation Industry Mentor:
Workshop Agenda: Day One 9:30 IntroductionLagerloef / Le Vine 9:45 Workshop objectivesG. Feldman 10:00 Overview of the Aquarius Data Processing System:G.
March 2004 At A Glance autoProducts is an automated flight dynamics product generation system. It provides a mission flight operations team with the capability.
Obtaining MISR Data and Information Nancy Ritchey Atmospheric Science Data Center March 20, 2006.
Mercury – A Service Oriented Web-based system for finding and retrieving Biogeochemical, Ecological and other land- based data National Aeronautics and.
A Climate Data Portal Focused on realtime and retrospective in situ data Nancy Soreide, Don Denbo, Willa Zhu, NOAA/PMEL Charles Sun, NOAA/NODC Bernie Kilonsky,
VIIRS Product Evaluation at the Ocean PEATE Frederick S. Patt Gene C. Feldman IGARSS 2010 July 27, 2010.
Aquarius Mission Simulation A realistic simulation is essential for mission readiness preparations This requires the ability to produce realistic data,
An Introduction to the Argo Data Sytem South Pacific Workshop 11 – 14 October 2005 Mark Ignaszewski FNMOC.
CPT 499 Internet Skills for Educators Overview of the Internet Session One.
LANCE Processing at the AMSR-E SIPS Presented by Kathryn Regner Information Technology and Systems Center at the University of Alabama in Huntsville Joint.
Distributed Pattern Recognition System, Web-based by Nadeem Ahmed.
Aquarius Simulation Studies Gary Lagerloef Aquarius Principal Investigator Algorithm Workshop 9-11 March 2010.
Copyright (c) 2014 Pearson Education, Inc. Introduction to DBMS.
ADPS Science Software Development Bryan Franz NASA Ocean Biology Processing Group Aquarius Data Processing Workshop, NASA/GSFC, March 2007.
LANCE AMSR-E Status Helen Conover, UAHuntsville, Kathryn Regner, UAHuntsville,
Cal/Val for physics MED-MFC internal meeting CMCC-INGV-SOCIB Lecce E. Clementi, INGV.
MODIS SDST, STTG and SDDT MODIS Science Team Meeting (Land Discipline Breakout Session) July 13, 2004 Robert Wolfe Raytheon NASA GSFC Code 922.
1 SUZAKU HUG 12-13April, 2006 Suzaku archive Lorella Angelini/HEASARC.
Combining Altimeter-derived Currents With Aquarius Salinity To Study The Marine Freshwater Budget Gary Lagerloef Aquarius Principal Investigator Yi Chao.
Distributed Data Servers and Web Interface in the Climate Data Portal Willa H. Zhu Joint Institute for the Study of Ocean and Atmosphere University of.
Web Design Terminology Unit 2 STEM. 1. Accessibility – a web page or site that address the users limitations or disabilities 2. Active server page (ASP)
National Data Buoy Center Ian Sears National Data Buoy Center An Overview of Quality Control Procedures for Buoy Data.
ACES User Interface Workshop #1 Prototype Inspection 22. November 2011.
Data Coordinating Center University of Washington Department of Biostatistics Elizabeth Brown, ScD Siiri Bennett, MD.
ODP V2 Data Provider overview. 22 Scope Data Provider provides access to data and metadata of the local data systems. Data Provider is a wrapper, installed.
Information Retrieval in Practice
Data Browsing/Mining/Metadata
Synthetic Data and Data Formats for the GPM GMI Radiometer
Data Flows in ACTRIS: Considerations for Planning the Future
NSIDC DAAC UWG Meeting August 9-10 Boulder, CO
The Internet An Overview.
Information Technology Ms. Abeer Helwa
H. Michael Goodman Earth-Sun System Division NASA Headquarters
Presentation transcript:

National Aeronautics and Space Administration Aquarius Validation Data System Overview and Status Algorithm Workshop March 21-22, 2007 John Gunn Earth & Space Research

2 of March, 2007 Aquarius Algorithm Workshop AVDS: J. Gunn The Aquarius Validation Data Segment (AVDS) will collect and process surface measurements for Aquarius data processing Deliver surface calibration data to Aquarius Data Processing Segment (ADPS) Liaison with observers Daily data acquisition Quality control/editing Uniform data format John Gunn Task Leader: John Gunn AVDS Aquarius Validation Program

3 of March, 2007 Aquarius Algorithm Workshop AVDS: J. Gunn In-situ data AVDS ESR AVDS ESR ADPS GSFC ADPS GSFC USERS GTSPP Validation data Via ftp daily AVDS/ADPS Interaction Match up with Aquarius beams for calibration

4 of March, 2007 Aquarius Algorithm Workshop AVDS: J. Gunn AVDS Structure AVDS Server (ESR) Data Filters DBMS ADPS (GSFC) ADPS (GSFC) AVDS Text files AVDS Text files Satellite HDF files Satellite HDF files Aligned Data files Aligned Data files Tabulated files Tabulated files User requests User requests Web interface Web interface In situ data In situ data Primary data path Red implies GSFC Blue implies ESR

5 of March, 2007 Aquarius Algorithm Workshop AVDS: J. Gunn In situ data filters Evaluate data for inclusion based on depth, QC flags Duplicate data removed At present, chooses daily data two weeks prior to real-time Time and space selection limits specified (method TBD) Formats data into text file for uploading by ADPS

6 of March, 2007 Aquarius Algorithm Workshop AVDS: J. Gunn AVDS text file format example

7 of March, 2007 Aquarius Algorithm Workshop AVDS: J. Gunn 3 beams, 76 x 94, 84 x 120, 96 x 156 km instantaneous footprint ellipses across the 390 km wide swath. 390 km Orbit Spacing Match-up Scheme Buoy Obs. Search Radius Match-up processing One match-up file per buoy observation contains all the satellite data in the search radius Subsequent processing to generate the optimal weighted average satellite observation per buoy Global tabulations Match-up processing One match-up file per buoy observation contains all the satellite data in the search radius Subsequent processing to generate the optimal weighted average satellite observation per buoy Global tabulations

8 of March, 2007 Aquarius Algorithm Workshop AVDS: J. Gunn Match-up Data Processing Run on ESR data server Uses inputs from AVDS text file and subsequently generated satellite data file (HDF) Process data from each beam and variable separately Perform a weighted average of the pass data centered on the CPA Weighting function shall be Gaussian with e-folding radius half of Aquarius beam width Weighting function to be evaluated through subsequent analysis

9 of March, 2007 Aquarius Algorithm Workshop AVDS: J. Gunn Database Management System Structured similar to SeaBASS functionality SQL based relational database Search and retrieve capability for in situ, match-up data and originating data by time, geo-location, original platform characteristics and other TBD metadata. Source information for original data may be specified rather than actual data Web-based interface

10 of March, 2007 Aquarius Algorithm Workshop AVDS: J. Gunn AVDS - Recent Accomplishments Ongoing liaisons with DAC’s Completion of AVDS/ADPS ICD Transfer of real-time ARGO float data to ADPS Recovery of matched up MODIS SST data to AVDS

11 of March, 2007 Aquarius Algorithm Workshop AVDS: J. Gunn AVDS - On-going Elements Definition of key functional requirements (document in progress) Draft AVDP Plan in preparation

12 of March, 2007 Aquarius Algorithm Workshop AVDS: J. Gunn Upcoming Tasks Definition and procurement of RDBMS software Specification of AVDS dedicated data server (disk space requirements, etc.) Web site development