AMSR-E SIPS Processing Status Presented by Helen Conover Information Technology and Systems Center at the University of Alabama in Huntsville AMSR-E Joint.

Slides:



Advertisements
Similar presentations
NOAA National Geophysical Data Center
Advertisements

ASIAES Project Overview Satellite Image Network for Natural Hazard Management in ASEAN+3 region Pakorn Apaphant Geo-Informatics and Space Technology Development.
BEDI -Big Earth Data Initiative
LANDSAT Program Update Tim Newman Coordinator, USGS Land Remote Sensing Program National Geospatial Advisory Committee December 3, 2014.
1 MODAPS - Land Processing Status Robert Wolfe and Ed Masuoka Code 619, NASA GSFC Sadashiva Devadiga Sigma Space MODIS Science Team Meeting April 15-17,
Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR SIPS STATUS Helen Conover Information Technology & Systems Center The University of Alabama.
A new Network Concept for transporting and storing digital video…………
Status of MODIS Production (C4/C5 Testing) Mike Teague 1/5/06.
Extension and application of an AMSR global land parameter data record for ecosystem studies Jinyang Du, John S. Kimball, Lucas A. Jones, Youngwook Kim,
Communicating Uncertainties for Microwave-Based ESDRs Frank J. Wentz, Carl A. Mears, and Deborah K. Smith Remote Sensing Systems, Santa Rosa CA Supported.
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.
AMSR-E SIPS Processing Status Presented by Kathryn Regner Information Technology and Systems Center at the University of Alabama in Huntsville AMSR-E Joint.
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.
AMSR-E SIPS Processing Status Presented by Kathryn Regner Information Technology and Systems Center at the University of Alabama in Huntsville JAXA / AMSR-E.
1 Meteorological Satellite Data Serving capability in China Meteorological Satellite Data Serving capability in China SunAnLai NSMC/CMA
September 23-24, 2014Dawn Conway, AMSR-E / AMSR2 TLSCF Lead Software Engineer AMSR-E / AMSR2 Team Lead Science Computing Facility TLSCF at UAH Dr. Roy.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Science Support for NASA-NOAA Research to Operations (R2O) and GPM Ralph.
Instant Karma Collecting Provenance for AMSR-E Beth Plale Director, Data to Insight Center Indiana University Helen Conover Information Technology and.
Presented at the LANCE User Working Group Meeting April 29, 2015 LANCE AMSR2 UPDATE Sherry Harrison
Global Imagery Browse Services Overview AMSR Science Team Meeting Matt Cechini, GIBS Lead Helen Conover, AMSR-E SIPS.
Presented at the GHRC User Working Group Meeting September 25-26, 2014 INFRASTRUCTURE At the GHRC DAAC Will Ellett IT Manager
September 4 -5, 2013Dawn Conway, AMSR-E / AMSR2 TLSCF Lead Software Engineer AMSR-E / AMSR2 Team Leader Science Computing Facility Current Science Software.
Instant Karma Collecting Provenance for AMSR-E Beth Plale Director, Data to Insight Center Indiana University Helen Conover Information Technology and.
AMSR at NSIDC PoDAG XV Briefing NSIDC 28 September 1999.
The Namibia Flood Dashboard Satellite Acquisition and Data Availability through the Namibia Flood Dashboard Matt Handy NASA Goddard Space Flight Center.
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.
25 June 2009 Dawn Conway, AMSR-E TLSCF Lead Software Engineer AMSR-E Team Leader Science Computing Facility.
AMSR-E SIPS Processing Status Presented by Helen Conover Information Technology and Systems Center at the University of Alabama in Huntsville AMSR-E Joint.
HDF & HDF-EOS Workshop VIII 2004 October Aurora, CO Bruce Beaumont, Matt Smith, Helen Conover, Sara Graves Subsetting at UAH.
EOSDIS Status 9/29/2010 Dan Marinelli, NASA GSFC
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 POES Microwave Products Presented.
MOWG 2 Sept 15-16,1999 David Hancock1 KEY PERSONNEL Dr. Bob Schutz, GLAS Science Team Leader Dr. Jay Zwally, ICESat Project Scientist, GLAS Team Member.
EOS Terra MODIS Land Processing and Distribution Overview Joseph M Glassy, Director, MODIS Software Development at NTSG School of Forestry, Numerical Terradynamics.
MODIS OCEAN QA Browse Imagery (MQABI Browse Tool) NASA Goddard Space Flight Center Sept 4, 2003
Instant Karma: Accessing Provenance Information for AMSR-E Science Data Products AMSR-E Science Team Meeting 29 June 2011 UAHuntsville The University of.
Science Processing Status of the Earth Observing System Microwave Limb Sounder (EOS MLS) Elmain Martinez September 27, 2010 Aura Science Meeting - Data.
CLASS Information Management Presented at NOAATECH Conference 2006 Presented by Pat Schafer (CLASS-WV Development Lead)
2015 GLM Annual Science Team Meeting: Cal/Val Tools Developers Forum 9-11 September, 2015 DATA MANAGEMENT For GLM Cal/Val Activities Helen Conover Information.
Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR2 NRT Land, Atmosphere Near real-time Capability for EOS (LANCE) Helen Conover Information.
AMSR-E and AMSR-E Validation Archive & Distribution Status Amanda Leon, NSIDC AMSR-E Lead Joint AMSR-E Science Team Meeting Hunstville, Alabama 2-3 June.
AMSR-E SIPS Processing Status Kathryn Regner Information Technology and Systems Center at the University of Alabama in Huntsville
March 2004 At A Glance autoProducts is an automated flight dynamics product generation system. It provides a mission flight operations team with the capability.
2 Introduction LANCE UWG 10/20/15 Karen Michael EOSDIS System Manager/LANCE Manager
PoDAG 21: Flow Diagrams 1 Data Flow Diagram(s) PoDAG asked for a data flow diagram with an indication where NSIDC was involved.  Each data stream is unique,
AMSR-E and AMSR-E Validation Status at NSIDC Amanda Leon, NSIDC AMSR-E Lead Joint AMSR-E Science Team Meeting Asheville, NC June 2011.
Finalizing the AMSR-E Rainfall Algorithm GPROF2010 AMSR-E Science Team Meeting Oxnard, CA 4-5 September, 2013 Dave Randel Colorado State University.
ECS Metadata Considerations for Preservation SiriJodha S. Khalsa National Snow and Ice Data Center.
Science Operation Readiness Review ICESat SIPS (I-SIPS) Status N0v 30, 2001 David Hancock ICESat Science Ground System Manager
LANCE Processing at the AMSR-E SIPS Presented by Kathryn Regner Information Technology and Systems Center at the University of Alabama in Huntsville Joint.
LANCE AMSR-E Status Helen Conover, UAHuntsville, Kathryn Regner, UAHuntsville,
16-17 September 2015 Dawn Conway, AMSR-E / AMSR2 TLSCF Lead Software Engineer AMSR-E / AMSR2 Team Lead Science Computing Facility TLSCF at UAH Dr. Roy.
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.
MODIS SDST, STTG and SDDT MODIS Science Team Meeting (Land Discipline Breakout Session) July 13, 2004 Robert Wolfe Raytheon NASA GSFC Code 922.
Presented at the AMSR Science Team Meeting September 16-17, 2015 LANCE AMSR2 NRT Sherry Harrison Land, Atmosphere Near real- time.
Geophysical Ocean Products from AMSR-E & WindSAT Chelle L. Gentemann, Frank Wentz, Thomas Meissner, Kyle Hilburn, Deborah Smith, and Marty Brewer
TERRA UPDATE Launch Date NSIDC DAAC Launch Readiness MODIS Snow and Ice Products General Product Release Timeline.
1 LANCE-AIRS LANCE-MLS Status Bruce Vollmer Mike Theobald LANCE User Working Group Meeting November.
Abstract NASA’s Land, Atmosphere Near real-time Capability for EOS (Earth Observing System) (LANCE) provides data and imagery approximately 3 hours from.
The Land, Atmosphere Near-real-time Capability for EOS (LANCE) GES DISC UWG May 10-11, 2011 Karen Michael EOSDIS System Manager
September 11-12, 2012Dawn Conway, AMSR-E TLSCF Lead Software Engineer AMSR-E Team Leader Science Computing Facility New Browse Images Current Science Software.
MOLLY E. BROWN, PHD NASA GODDARD GIMMS Group Challenges of AVHRR Vegetation Data for Real Time Applications.
NOAA Near Real-Time AIRS Processing and Distribution System Walter Wolf Mitch Goldberg Lihang Zhou NESDIS/ORA/CRAD.
AIRS Meeting GSFC, February 1, 2002 ECS Data Pool Gregory Leptoukh.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 STAR Enterprise Synthesis.
7/13/04 Edward Masuoka MODIS Science Team Meeting 1 MODAPS Reprocessing Collections 4 and 5 Ed Masuoka July 13, 2004.
NSIDC’s Passive Microwave Sensor Transition for Polar Data
MODIS SST Processing and Support for GHRSST at OBPG
NSIDC DAAC UWG Meeting August 9-10 Boulder, CO
Passive Microwave Radiometer constellation for Sea Surface Temperature Prepared by CEOS Sea Surface Temperature Virtual Constellation (SST-VC) Presented.
AMSR-E SIPS Processing Status
Presentation transcript:

AMSR-E SIPS Processing Status Presented by Helen Conover Information Technology and Systems Center at the University of Alabama in Huntsville AMSR-E Joint Science Team Meeting Sept 4-5, 2013 Oxnard, CA ghrc.nsstc.nasa.gov www.itsc.uah.edu ghrc.nsstc.nasa.gov

Outline Introduction AMSR-E Reprocessing Status – L2A with Wentz V7 complete – Standard Browse Imagery Updated – Collecting Data Provenance – Inserting Data Object Identifiers Global Imagery Browse Services (GIBS) Overview AMSR2 Processing Plans 2 AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5, 2013

AMSR-E SIPS Personnel 3 NASA MSFC: H. Michael Goodman, PI UAHuntsville ITSC (Staff shared with GHRC DAAC): Management: Dr. Sara Graves, Director, ITSC Development:Helen Conover, Lead Bruce Beaumont Evans Criswell Michael McEniry Mary Nair Engineering: Kathryn Regner Sandra Harper Data Management:Lamar Hawkins Sherry Harrison Systems Administration:Will Ellett, Lead Michele Garrett AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5, 2013

AMSR-E SIPS Processing and Dependencies 4 Level-2A Brightness Temperatures (with Metadata and QA files) L2B Ocean (1/2-orbit) L2B Land (1/2-orbit) L2B Rain (1/2-orbit) L3 Ocean (Daily) L3 Land (Daily) L3 Snow (Daily) L3 Sea Ice (Daily, 3 Res) L3 Snow (Pentad) L3 Ocean (Weekly) L3 Ocean (Monthly) L3 Rain (Monthly) L3 Snow (Monthly) Once per day Once every five days Once per week Once per month Product Generation at SIPS-GHRC ~ 29 times per day Level-2A Brightness Temperatures L3 Sea Ice Drift ~ 29 times per day at SIPS-RSS AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5, 2013

Algorithm DAP Version Summary 5 Algorithm Short NameCurrent Version L2A TbV12 L2B LandV10 L2B OceanV07 L2B RainV11 L3 LandV07 L3 OceanV05 L3 RainV07 L3 Sea IceV14 L3 Sea Ice DriftB03 L3 SnowV10 AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5, 2013

Reprocessing Earlier this year, the SIPS began the most comprehensive reprocessing effort to date. The ESDT Version 3 data set will feature the following enhancements: – L2A products generated with Wentz Version 7 algorithm – Inclusion of ISO-compliant lineage information and digital object identifiers (DOIs) in data files – Updated browse imagery AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5,

Wentz Version 7 algorithm The new brightness temperature products generated at SIPS-RSS – use AMSR-E L1A V03 dataset as source input – use the new RSS Version 7 radiative transfer model algorithm, intercalibrated with other microwave radiometers, such as SSM/I F13 and WindSat, thus bringing all satellite microwave radiometers to a common calibration standard – show improved calibration over land, based on heavily vegetated tropical rainforest scenes – improve Radio Frequency Interference (RFI) Flagging in response to new geostationary sources. AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5,

Provenance Capture All AMSR-E ESDT Version 3 products will include new metadata routines that contain or capture dataset DOIs and ISO Lineage. – The digital object identifier (DOI) uniquely identifies a dataset. Metadata about the data is correlated with the DOI. The DOI for an object is permanent, whereas its location and other metadata may change. – Storing ISO-compliant lineage information in data files means that processing history stays with the files. AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5,

Enhanced Browse Imagery All AMSR-E ESDT Version 3 products will benefit from a new browse image process which includes – new 24-bit PNG images with embedded metadata, such as source science data file name, parameters, date/time stamp, projection, etc. – KMZ files suitable for display on map or globe – the traditional “framed” image with title, color bar and annotations Full resolution browse imagery, data only, will be provided as map layers to NASA’s Global Image Browse Service (GIBS) – Selected channels or variables from each product, suitable for overlay on MODIS background images AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5,

Reprocessing Plan L2A reprocessing (addition of metadata and browse image generation for RSS-produced L2A data) completed at SIPS-GHRC in July. L2B and L3 datasets will be reprocessed individually throughout as algorithm updates are received from TL-SCF. Assuming a final L2A dataset update by SIPS-RSS in late 2015, SIPS-GHRC will perform a full mission reprocessing of all products in 2016 using final L2A as input with latest available science algorithm. AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5,

Global Imagery Browse Services Overview AMSR Science Team Meeting Matt Cechini, GIBS Lead Helen Conover, AMSR-E SIPS

AMSR2 Processing Planning at the SIPS Presented by Helen Conover Information Technology and Systems Center at the University of Alabama in Huntsville AMSR-E Joint Science Team Meeting Sept 4-5, 2013 Oxnard, CA ghrc.nsstc.nasa.gov www.itsc.uah.edu ghrc.nsstc.nasa.gov

Introduction The AMSR-E SIPS is currently negotiating with NASA HQ to do standard and near real-time product generation – SIPS in Huntsville, AL will generate climate research quality products from JAXA Level-1R data, using algorithms adapted from AMSR-E processing by the US Science Team. These products will be archived at the NSIDC DAAC. – SIPS will also generate LANCE (Land Atmosphere Near real-time Capability for EOS) products for users who are interested in monitoring natural and man-made hazards in near real time (no archive). AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5,

Proposed AMSR2 Data Flow AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5, TLSCF Science Software Integration and Test, Metadata & QA software SIPS-Huntsville JAXA-EOC L1R Product Generation L2 and L3 Product Generation (science, metadata, qa, ph, subsets, browse) NSIDC DAAC L2 and L3 Data Archive and Distribution L2 & L3 L1R L0 Product Delivery Record Server (PDRS) Science Algorithms Algorithm Teams OceanSea Ice Rain Land Snow Users

Products and Dependencies AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5, L2B Ocean (1/2-orbit) L2B Land (1/2-orbit) L2B Rain (1/2-orbit) L3 Ocean (Daily) L3 Land (Daily) L3 Snow (Daily) L3 Sea Ice (Daily,3 Res) L3 Snow (Pentad) L3 Ocean (Weekly) L3 Ocean (Monthly) L3 Rain (Monthly) L3 Snow (Monthly) Once per day Once every five days Once per week Once per month Product Generation ~ 29 times per day Level-1R Brightness Temperatures Ingest from JAXA ~ 29 times per day L3 Sea Ice Drift

AMSR2 Near-Real-Time Processing NASA’s LANCE system is eager for AMSR2 products. AMSR-E was second only to MODIS with LANCE users: – “Our flood detection system depends on AMSR-E data, and is used by governments in many countries (e.g., ).” Tom De Groeve, Joint Research Centre of the European Commission – “At the Cooperative Institute for Meteorological Satellite Studies at the University of Wisconsin, we make continuous use of the AMSR-E retrievals of total precipitable water shared in real-time on the LANCE servers... Microwave-frequency retrievals of low-level water vapor are usually the earliest indicator available for tropical cyclone development in remote ocean environments.” Chris Velden, Cooperative Institute for Meteorological Satellite Studies at the University of Wisconsin AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5,

Discussion SIPS plans to use JAXA L1R as input to the US Level-2B and Level-3 algorithms – Already signed GCOM-W1 AMSR2 User Agreement and registered with JAXA GCOM-W1 data system. – What other operations agreements do we need to prepare and with whom do we coordinate? – What arrangements do we need to make for routine, automated data delivery and with whom do we coordinate? – Can we receive L1R per ½ orbit in near real (similar to L1B delivery to GSFC PPS)? LANCE data latency requirement is within 3 hours of observation, but sooner is better… – What else do we need to consider as we plan to receive Level- 1R data directly from JAXA? AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5,

Thank you! AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5,

AMSR2 Primary POCs Helen Conover, Technical Leader Kathryn Regner, Systems Engineer Sherry Harrison, Data Management and User Services AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5,

Backup

TLSCF Science Software I&T SIPS-GHCC PO.DAAC JAXA-EOC L1A Product Generation SIPS-RSS L2A Product Generation L2B and L3 Product Generation (science, metadata, qa, ph, subsets, browse) L2 and L3 algorithms L2A algorithm NSIDC DAAC Data Archive and Distribution Level-1 Level-2 and Level-3 Level-1 NASA EDOS GBAD (Pre Ephem) & PDS Ground Stations L2B and L3 Algorithms Level-0 Product Delivery Record Server (PDRS) Algorithm Teams OceanSea Ice Rain Land Snow Data NASA Flt Dynamics GBAD (Def Ephem) AMSR-E Data Flow 21 AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5, 2013

SIPS-GHCC Hardware Operational Configuration (Mar ‘13) Multiple processing environments across three machines results in much greater flexibility for processing and reprocessing. Private Network (1 GB/sec) Forward Processing Reprocessing Dev, Integration & Test Sun Fire x4270 x64 2 x 2.93 GHz Sun Intel Xeon Processors 4 x 2GB DIMM, RHEL 5 AMSR AMSR-E Joint Science Team Meeting Oxnard, CA Sept. 4-5, 2013 Near line storage for all Level-2A, Level-2B and Level-3 AMSR-E products Sun Storage 7310 With J4400 Disk Array 10TB NAS Sun Storage TB NAS