Workshop Agenda: Day One 9:30 IntroductionLagerloef / Le Vine 9:45 Workshop objectivesG. Feldman 10:00 Overview of the Aquarius Data Processing System:G.

Slides:

Advertisements

Similar presentations

Analysis of AMSR-E C & X-band Tb data dependencies with wind & wave characteristics.

Advertisements

F. Wentz, T. Meissner, J. Scott and K. Hilburn Remote Sensing Systems 2014 Aquarius / SAC-D Science Team Meeting November ,

L1a to L2 Aquarius Processor Frank Wentz and Thomas Meissner Aquarius Algorithm Workshop, Santa Rosa, CA, March 9-11, 2010.

Level-1A to Level-1B Spacecraft data to Geolocation Data and Antenna Temperature Level-1B to Level-2A Antenna Temperatures Converted to TOA Brightness.

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

Aquarius Status Salinity Retrieval and Applications D. M. Le Vine NASA/GSFC, Greenbelt, MD E. P. Dinnat, G. Lagerloef, P. de Matthaeis, H. Kao, F.

The Aquarius Salinity Retrieval Algorithm Frank J. Wentz and Thomas Meissner, Remote Sensing Systems Gary S. Lagerloef, Earth and Space Research David.

Maintaining and Improving the AMSR-E and WindSat Ocean Products Frank J. Wentz Remote Sensing Systems, Santa Rosa CA AMSR TIM Agenda 4-5 September 2013.

Sea water dielectric constant, temperature and remote sensing of Sea Surface Salinity E. P. Dinnat 1,2, D. M. Le Vine 1, J. Boutin 3, X. Yin 3, 1 Cryospheric.

Cold Sky Calibration Aquarius: D. M. Le Vine MWR: J. C. Gallo.

Frank J. Wentz and Thomas Meissner Remote Sensing Systems Aquarius Salinity Algorithm and Simulations Aquarius/SAC-D Science Workshop July 2010,

Scatterometer Algorithm Simon Yueh, Alex Fore, Adam Freedman, Julian Chaubell Aquarius Scatterometer Algorithm Team July 19, 2010 Seattle.

Roughness Correction Working Group Report July 21, 2010 Seattle 6 th Aquarius/SAC-D Science Team meeting.

Aquarius/SAC-D Mission Validation Working Group Summary Gary Lagerloef 6 th Science Meeting; Seattle, WA, USA July 2010.

Aquarius/SAC-D Mission Mission Simulators - 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.

Aquarius/SAC-D Mission Error Validation and Early Orbit Corrections Gary Lagerloef 6 th Science Meeting; Seattle, WA, USA July 2010.

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.

Ifremer Planning of Cal/Val Activities during In orbit commisioning Phase N. Reul, J. Tenerelli, S. Brachet, F. Paul & F. Gaillard, ESL & GLOSCAL teams.

SMOS Validation Rehearsal Campaign Workshop, 18-19/11/2008, Noordwijkerhout, The Netherlands SMOS Validation Rehearsal Campaign Mediterranean flights C.

Aquarius Algorithm Meeting To Do Lists. From Frank Wentz:  Implement Ruf RFI flagging  Implement other QC flags  Further test review, and finalize.

MWR Roughness Correction Algorithm for the Aquarius SSS Retrieval W. Linwood Jones, Yazan Hejazin, Salem Al-Nimri Central Florida Remote Sensing Lab University.

Aquarius Project Status 7 th Aquarius/SAC-D Science Team Meeting 11 April 2012.

Yimin Ji - Page 1 October 5, 2010 Global Precipitation Measurement (GPM) mission Precipitation Processing System (PPS) Yimin Ji NASA/GSFC,

High Resolution MODIS Ocean Color Fred Patt 1, Bryan Franz 1, Gerhard Meister 2, P. Jeremy Werdell 3 NASA Ocean Biology Processing Group 1 Science Applications.

John T. Gunn, AVDS Manager Earth & Space Research 1910 Fairview Ave. E., Suite 210 Seattle, WA Ph: ; 1 st Joint GOSUD/SAMOS.

September 4 -5, 2013Dawn Conway, AMSR-E / AMSR2 TLSCF Lead Software Engineer AMSR-E / AMSR2 Team Leader Science Computing Facility Current Science Software.

Aquarius Algorithm Workshop March 2007 College of Engineering Department of Atmospheric, Oceanic & Space Sciences Chris Ruf Space Physics Research.

Calibration and Validation Studies for Aquarius Salinity Retrieval PI: Shannon Brown Co-Is: Shailen Desai and Anthony Scodary Jet Propulsion Laboratory,

SCIENCE PROCESSING OVERVIEW David Le Vine Aquarius Deputy PI 07 July 2009.

7 th SMOS Workshop, Frascati, October /17 AMIRAS campaign Fernando Martin-Porqueras.

A. Montuori 1, M. Portabella 2, S. Guimbard 2, C. Gabarrò 2, M. Migliaccio 1 1 Dipartimento per le Tecnologie (DiT), University of Naples Parthenope, Italy.

25 June 2009 Dawn Conway, AMSR-E TLSCF Lead Software Engineer AMSR-E Team Leader Science Computing Facility.

Purpose and objectives: AVHRR LAC expert meeting Bojan R. Bojkov Head, Sensor Performance, Products and Algorithms Directorate for Earth Observation ESA/ESRIN.

T. Meissner, F. Wentz, J. Scott, K. Hilburn Remote Sensing Systems ESA Ocean Salinity Science and Salinity Remote Sensing Workshop November.

Level 2 Algorithm. Definition of Product Levels LevelDescription Level 1 1A Reconstructed unprocessed instrument data 1B Geolocated, calibrated sensor.

Aquarius Algorithm Workshop Santa Rosa, CA 9 March 2010 College of Engineering Department of Atmospheric, Oceanic & Space Sciences Chris Ruf University.

SMOS L2 Ocean Salinity Level 2 Ocean Salinity v63x product design evolution 22 April 2015 ARGANS & SMOS L2OS ESL 1.

Sea Surface Salinity from Space Simulation of Aquarius brightness temperature, Tb, at spacecraft during one orbit Top Panel –Ground track (red) –Outer.

22 March 2007 Science Simulator Overview and Status ICDS Susie Kennison.

Cal/Val Discussion. Summary No large errors in rain, freshening observed by Aquarius can be significant and real (up to about 3 hours on average after.

Design Features of a Boresighted GPM Core Radiometer Christopher S. Ruf Dept. of Atmospheric, Oceanic & Space Sciences University of Michigan, Ann Arbor,

Simulator Wish-List Gary Lagerloef Aquarius Principal Investigator Cal/Val/Algorithm Workshop March GSFC.

2014 Aquarius / SACD Science Team Meeting Agenda and Objectives Summarize the completion of NASA’s Aquarius 3-year prime salinity measurement mission (November.

SMOS QWG-9, ESRIN October 2012 L2OS: Product performance summary v550 highlights 1 The SMOS L2 OS Team.

VIIRS Product Evaluation at the Ocean PEATE Frederick S. Patt Gene C. Feldman IGARSS 2010 July 27, 2010.

Improved Aquarius Salinity Retrievals using Auxiliary Products from the CONAE Microwave Radiometer (MWR) W. Linwood Jones Central Florida Remote Sensing.

SNPP Ocean SIPS status SNPP Applications Workshop 18 November 2014 Bryan Franz and the Ocean Biology Processing Group.

Mission Operations Review February 8-10, 2010 Cordoba, ARGENTINA SECTION 16.x Aquarius Science Commissioning and Acceptance Draft 2 Prepared by: Gary Lagerloef,

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

Aquarius Mission Simulation A realistic simulation is essential for mission readiness preparations This requires the ability to produce realistic data,

Faraday Rotation David Le Vine Aquarius Algorithm Workshop March 9-11, 2010.

T. Meissner and F. Wentz Remote Sensing Systems 2014 Aquarius / SAC-D Science Team Meeting November , 2014 Seattle. Washington,

Challenge Volume: Over 100 satellite-years of observations Calibration Each sensor has its own unique set of Sensor Calibration Problems Precision: High.

Level 2 Scatterometer Processing Alex Fore Julian Chaubell Adam Freedman Simon Yueh.

Aquarius Simulation Studies Gary Lagerloef Aquarius Principal Investigator Algorithm Workshop 9-11 March 2010.

ADPS Science Software Development Bryan Franz NASA Ocean Biology Processing Group Aquarius Data Processing Workshop, NASA/GSFC, March 2007.

The Inter-Calibration of AMSR-E with WindSat, F13 SSM/I, and F17 SSM/IS Frank J. Wentz Remote Sensing Systems 1 Presented to the AMSR-E Science Team June.

Geophysical Ocean Products from AMSR-E & WindSAT Chelle L. Gentemann, Frank Wentz, Thomas Meissner, Kyle Hilburn, Deborah Smith, and Marty Brewer

Combining Altimeter-derived Currents With Aquarius Salinity To Study The Marine Freshwater Budget Gary Lagerloef Aquarius Principal Investigator Yi Chao.

Goddard Earth Sciences Data and Information Services Center, NASA/GSFC, Code 902, Greenbelt, Maryland 20771, USA INTRODUCTION  NASA Goddard Earth Sciences.

Aquarius Algorithm Workshop March 9-11, 2010 Santa Rosa, CA Aquarius Data Processing System (ADPS) Overview and Status Fred Patt.

Aquarius Level 0-to-1A Processing Rule #1: save everything from the Level 0 data. Rule #2: never forget Rule #1! The objective is to ensure that the Level.

SMOS Science Meeting September 2011 Arles, FR Simulating Aquarius by Resampling SMOS Gary Lagerloef, Yann Kerr & Eric Anterrieu and Initial Results.

High Resolution MODIS Ocean Color Bryan Franz NASA Ocean Biology Processing Group MODIS Science Team Meeting, 4-6 January 2006, Baltimore, MD.

T. Meissner, F. Wentz, J. Scott, K. Hilburn Remote Sensing Systems 2014 Aquarius / SAC-D Science Team Meeting November , 2014.

Synthetic Data and Data Formats for the GPM GMI Radiometer

Roughness Correction for Aquarius (AQ) Sea Surface Salinity (SSS) Algorithm using MicroWave Radiometer (MWR) W. Linwood Jones, Yazan Hejazin Central FL.

Extreme Wind Speed Measurements from NASA’s SMAP L-Band Radiometer

Frank Wentz and Carl Mears Remote Sensing Systems, Santa Rosa CA, USA

Presentation transcript:

Workshop Agenda: Day One 9:30 IntroductionLagerloef / Le Vine 9:45 Workshop objectivesG. Feldman 10:00 Overview of the Aquarius Data Processing System:G. Feldman 10:30 ADPS Science Software Development Overview: Bryan Franz 11:00 Raw file to Level-1a processing and overview of Level-1b data format: Fred Patt 11:30 Radiometer Level-1a to Level-1b processing overview: F. Wentz / S. Kim 12:30 - 1:30 Lunch 1:30 Radiometer L1B continued: C. Ruf / J. Piepmeier 1. RFI Flags C. Ruf 2. Radiometer Calibration Model J. Piepmeier 2:00 Scatterometer Level-1a to Level-1b processing overview: S. Yueh / A. Freeman 3:00 Radiometer Level 2 Processing Overview: D. Le Vine 3:30 Level-2 format options and flags: Bryan Franz 4:00 Discussion 5:30 End of First Day

Workshop Agenda: Day Two 9:00 Level-3 Data Format and Binning Overview: G. Feldman / Fred Patt 9:30 Level-3 Processing: G. Lagerloef / Jonathan Lilly 10:00 Aquarius Validation Data System: Werdell / Gunn 1. Overview of the AVDS-ADPS data exchange: Jeremy Werdell 2. Status:John Gunn 10:30 Mission Simulator:Fred Patt 11:00 Data Simulator: S. Kennison 11:30 Science and Data Simulators: Status and future plans 1. Overview & RadiometerD. Le Vine 2. Scatterometer : Science and data simulationS. Yueh / A. Freedman 12:30 – 1:30 Lunch 1:30 Strategy and Discussion: How to proceed with development, implementation, integration and testing (All) 3:30 Adjourn

Definition of Product Levels LevelDescription Level 1 1A Reconstructed unprocessed instrument data 1B Geolocated, calibrated sensor units at 0.12 / 0.18 sec; RFI flag and then averaged and output at 1.44 seconds. Level 2 2A TOA to surface: Geolocated, calibrated sensor units at surface at 1.44 sec. Correct for Faraday rot; Antenna pattern, Sun, etc. 2B TB to SSS: Geolocated SSS from L2A and averaged to a 5.76 sec. Roughness correction from Scatterometer. Level 3 Re-grid and smooth: Time-space objectively analyzed SSS on a standard Earth Projection; 150 km at 7days and monthly. Calibration Collect Level 2B data at points coinciding with surface measurements and average to remove biases. Validation Match L2B data with in situ ocean measurements (SSS, SST, winds, sea state, etc) and compare at 150 km monthly

Instrument Model Scat out Rad out Level 1 Processing Instrument Cal Model Calibrated Sensor Output Sigma0 TA Cold Sky Science Retrieval Level 2 processing L2A and L2B Science Grid L3 L1 Product AVDS Spacecraft HK: temp, ephemeris attitude, etc Ancillary data SST, NCEP, Sun, Ionosphere, etc AVDS Validation Science Calibration Model Validation Science Simulator Temperature Simulated Data