Satellite Data Provided by the NASA Ocean Biology Processing Group (OBPG)

Slides:



Advertisements
Similar presentations
NASA DRL Support for S-NPP Direct Broadcast Users
Advertisements

MODIS Ocean Filenames, Structures, and useful metadata Kay Kilpatrick University of Miami/RSMAS.
Global Processing of MODIS for Operational SST, Ocean Color, and GHRSST Bryan Franz and the NASA Ocean Biology Processing Group 8th GHRSST-PP Science Team.
MODIS The MODerate-resolution Imaging Spectroradiometer (MODIS ) Kirsten de Beurs.
MODIS Ocean Products MODIS/AIRS Workshop Pretoria, South Africa April 4-7, 2006 Liam Gumley Space Science and Engineering Center University of Wisconsin-Madison.
SeaDAS Training ~ NASA Ocean Biology Processing Group 1 Introduction to ocean color satellite calibration NASA Ocean Biology Processing Group Goddard Space.
Hardware and Software Basics. Computer Hardware  Central Processing Unit - also called “The Chip”, a CPU, a processor, or a microprocessor  Memory (RAM)
Virtual Network Servers. What is a Server? 1. A software application that provides a specific one or more services to other computers  Example: Apache.
HyperPro II Optical Profiler Deployment and data processing Geoff MacIntyre May 15, 2014.
SDI (Satellite Data Ingestor) 2015 McIDAS Users Group Meeting June 8, 2015.
Cluster computing facility for CMS simulation work at NPD-BARC Raman Sehgal.
Terabyte IDE RAID-5 Disk Arrays David A. Sanders, Lucien M. Cremaldi, Vance Eschenburg, Romulus Godang, Christopher N. Lawrence, Chris Riley, and Donald.
MODIS & VIIRS Ocean Science Team Break-out Report MODIS Science Team Meeting May 2015, Silver Spring, MD.
Chasing photons – considerations for making & maintaining useful satellite ocean color measurements Ocean Optics Class University of Maine July 2011 Acknowledgement:
Online Systems Status Review of requirements System configuration Current acquisitions Next steps... Upgrade Meeting 4-Sep-1997 Stu Fuess.
SeaDAS Training ~ NASA Ocean Biology Processing Group 1 Level-2 ocean color data processing basics NASA Ocean Biology Processing Group Goddard Space Flight.
Menghua Wang, NOAA/NESDIS/ORA Atmospheric Correction using the MODIS SWIR Bands (1240 and 2130 nm) Menghua Wang (PI, NASA NNG05HL35I) NOAA/NESDIS/ORA Camp.
NASA Support for MODIS Direct Broadcast: Level-0 to Standard Ocean Products Bryan Franz & Mike MacDonald Ocean Biology Processing Group NASA Goddard Space.
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.
Jasmine S. Nahorniak Mark R. Abbott Ricardo M. Letelier Curt Vandetta Bridges to the Community NASA grant NNG05GA73G International EOS/NPP Direct Broadcast.
Satellite Ocean Color Products: What should be produced? ZhongPing Lee, Bryan Franz, Norman Kuring, Sean Baily raise questions, rather to provide definite.
1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite.
Chapter 8 Satellite Data of Ocean Color Remote Sensing of Ocean Color Instructor: Dr. Cheng-Chien LiuCheng-Chien Liu Department of Earth Sciences National.
Linux Servers with JASMine K. Edwards, A. Kowalski, S. Philpott HEPiX May 21, 2003.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Image: MODIS Land Group,
Continuation and improvement of the NRT system for the remotely sensed data Task 1.1 Emanuele Böhm, Roberto Sciarra & Rosalia Santoleri Satellite Oceanography.
MODIS Ocean Color Processing Chuck McClain* Processing Approach Calibration/Validation Gene Feldman* Data Processing & Distribution MODIS Team Meeting/
MODIS/Aqua Ocean Reprocessing Bryan Franz Ocean Biology Processing Group MODIS Science Team Meeting March 2005.
VIPER Quality Assessment Overview Presenter: Sathyadev Ramachandran, SPS Inc.
Ocean Color Remote Sensing Pete Strutton, COAS/OSU.
Goddard Space Flight Center Ocean Color Reprocessing Bryan Franz Ocean Biology Processing Group NASA Goddard Space Flight Center.
Optical Water Mass Classification for Interpretation of Coastal Carbon Flux Processes R.W. Gould, Jr. & R.A. Arnone Naval Research Laboratory, Code 7333,
Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR2 NRT Land, Atmosphere Near real-time Capability for EOS (LANCE) Helen Conover Information.
NASA Ocean Color Research Team Meeting, Silver Spring, Maryland 5-7 May 2014 II. Objectives Establish a high-quality long-term observational time series.
Menghua Wang, NOAA/NESDIS/ORA Refinement of MODIS Atmospheric Correction Algorithm Menghua Wang (PI, NASA NNG05HL35I) NOAA/NESDIS/ORA Camp Springs, MD.
Suhung Shen James G. Acker Denis Nadeau George Serafino Goddard Earth Sciences (GES) Data and Information Services Center (DISC) Distributed Active Archive.
12/2/2015Fall 2002 AGU Meeting1 Generalized EOS Data Converter: Making Data Products Accessible to GIS Tools Larry Klein, Ray Milburn, Cid Praderas and.
Development of GHRSST L2Pcore for MODIS Bryan Franz NASA Ocean Biology Processing Group Goddard Space Flight Center.
7/13/04 Shaida Johnston MODIS Science Team Meeting 1 Current MODIS Data System: Processing, Archiving and Distribution Shaida Johnston July 13, 2004.
Sep. 17, 2002BESIII Review Meeting BESIII DAQ System BESIII Review Meeting IHEP · Beijing · China Sep , 2002.
Robert Wolfe NASA Goddard Space Flight Center Code 614.5, Greenbelt, MD Robert Wolfe NASA Goddard Space Flight Center Code 614.5,
VIIRS Product Evaluation at the Ocean PEATE Frederick S. Patt Gene C. Feldman IGARSS 2010 July 27, 2010.
GlobColour / Medspiration user consultations, Nov 20-22, 2007, Oslo Validation of the GlobColour Full product set ( FPS ) over open ocean Case 1 waters.
SNPP Ocean SIPS status SNPP Applications Workshop 18 November 2014 Bryan Franz and the Ocean Biology Processing Group.
Aquarius Mission Simulation A realistic simulation is essential for mission readiness preparations This requires the ability to produce realistic data,
ISAC Contribution to Ocean Color activity Mediterranean high resolution surface chlorophyll mapping Use available bio-optical data sets to estimate the.
Integrating the Scientific Community with a Measurement Based, Multi-Sensor Data Processing and Distribution System Bryan Franz, Donna Thomas, Sean Bailey,
ADPS Science Software Development Bryan Franz NASA Ocean Biology Processing Group Aquarius Data Processing Workshop, NASA/GSFC, March 2007.
David Herring Kevin Ward M a y 2 2, n a s a e a r t h o b s e r v a t.
Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.
Polarization analysis in MODIS Gerhard Meister, Ewa Kwiatkowska, Bryan Franz, Chuck McClain Ocean Biology Processing Group 18 June 2008 Polarization Technology.
OBPG Status Report Chuck McClain & Gene Feldman Ocean Biology Processing Group Leaders NASA Ocean Biogeochemistry Science Team Meeting April 11-13, 2006.
HISTORICAL HIGHLIGHTS 1993 Coastal Zone Color Scanner (CZCS) data is archived at the Goddard Distributed Active Archive Center CZCS data files are.
CIOSS Ocean Optics Aug 2005 Ocean Optics, Cal/Val Plans, CDR Records for Ocean Color Ricardo M Letelier Oregon State University Outline - Defining Ocean.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 NOAA CoastWatch/OceanWatch Ocean Color Activities: Contributions to Ocean.
Goddard Earth Sciences Data and Information Services Center, NASA/GSFC, Code 902, Greenbelt, Maryland 20771, USA INTRODUCTION  NASA Goddard Earth Sciences.
Advances in the Processing and Retrieval of Ocean Color from MODIS and SeaWiFS MODIS Science Team Meeting January 2010 Bryan Franz and the Ocean Biology.
From Missions to Measurements: an Ocean Discipline Experience.
NASA OBPG Update OCRT Meeting 23 April 2012 Bryan Franz and the NASA Ocean Biology Processing Group.
8 January 2007 From Missions to Measurements: an Ocean Color Experience.
High Resolution MODIS Ocean Color Bryan Franz NASA Ocean Biology Processing Group MODIS Science Team Meeting, 4-6 January 2006, Baltimore, MD.
12/19/01MODIS Science Team Meeting1 MODAPS Status and Plans Edward Masuoka, Code 922 MODIS Science Data Support Team NASA’s Goddard Space Flight Center.
John M. Huddleston, PhD Research Associate “Cooperative Institute for Research in the Atmosphere” June 11, 2009 The Killer App.
7/13/04 Edward Masuoka MODIS Science Team Meeting 1 MODAPS Reprocessing Collections 4 and 5 Ed Masuoka July 13, 2004.
JAXA Himawari-8 Ocean Color and Aerosol
MODIS SST Processing and Support for GHRSST at OBPG
Jian Wang, Ph.D IMCS Rutgers University
MODIS Ocean Products MODIS/AIRS Workshop Pretoria, South Africa
Satellite data that we’ve acquired
SeaDAS lab Jeremy Werdell Sean Bailey NASA Goddard Space Flight Center
Presentation transcript:

Satellite Data Provided by the NASA Ocean Biology Processing Group (OBPG)

Deep-Water Chlorophyll Images common-bin 12-day composite, Winter mg/m^3 SeaWiFS R5 MODIS/Aqua R1

OBPG Satellite Data - MODIS Aqua (2002-present) - MODIS Terra (2000-present) - SeaWiFS (1997-present) - OCTS ( ) - CZCS ( )

HDF File Format Hierarchical Data Format (HDF) is a data file format OBPG data files stored as HDF (L1A, L1B, L2, L3) HDF can be thought of as a “container” to store a variety of data types and meta data in a single file

Example HDF file

HDF-EOS OBPG files stored in HDF-EOS format: –specialized form of HDF –created by NASA in 1993 –standard format for all EOS data SeaDAS is compatible with OBPG HDF-EOS

MODIS Data Levels Level 0 Level 1A Level 1B Level 2 Level 3 binned Level 3 mapped

Data Levels & Flow Level 0 –raw digital counts –native binary format Level 1A –raw digital counts –HDF formatted Level 1B –calibrated reflectances –converted telemetry Level 2 –geolocated geophysical products for each pixel Ancillary data –wind speed –surface pressure –total ozone –Reynolds SST GEO –geolocation –radiant path geometry ATT & EPH –spacecraft attitude –spacecraft position

Data Levels & Flow Level 0 –raw digital counts –native binary format Level 1A –raw digital counts –HDF formatted Level 1B –calibrated reflectances –converted telemetry Level 2 –geolocated geophysical products for each pixel Ancillary data –wind speed –surface pressure –total ozone –Reynolds SST GEO –geolocation –radiant path geometry ATT & EPH –spacecraft attitude –spacecraft position Level 1A Subset –reduced to standard ocean bands only

Level 1A (HDF) –raw radiance counts –Onboard calibration data –navigation data –spacecraft telemetry –instrument telemetry A L1A_LAC

Level 1B (HDF) –calibrated, geolocated at-aperture radiances i.e. Top of Atmosphere (TOA) radiances –quality flags –error estimates –calibration data A L1B_LAC A L1B_HKM A L1B_QKM

Level 2 (HDF) –geophysical values for each pixel –products include chlorophyll-a, SST, nLw’s, K490, flags –geolocation data A L2_LAC A L2_LAC_SST A L2_LAC_SST4

Chlorophyll-a SST

Level 2 Flags

Level 2 Standard MODIS Ocean Products Ocean Color (day only) –Normalized water-leaving radiances - nLw( ) –Chlorophyll - C a –Diffuse attenuation - K d (490) –Aerosol type and concentration Optical thickness -  a Ångström exponent Atmospheric epsilon –Processing flags Cloud, land, glint, atmfail, atmwarn, chlfail, chlwarn, etc. Ocean Temperature –Long-wave SST (11-12  m) (day and night) –Short-wave SST (  m) (night only) –SST quality level (0-4)

Level 2 Non-standard Ocean Products Ocean Color –Alternate C a and K d algorithms –Chlorophyll fluorescence, FLH –Particulate inorganic carbon, Calcite –Inherent optical properties (various bio-optical models) absorption (total, phaeophytin, dissolved matter) backscatter (total, particulate) –Photosynthetically active radiation, iPAR, PAR (coming) –Euphotic depth (Z eu, Z sd ) –Subsurface PAR at 1st optical depth, K d (PAR) –Intermediate atmospheric correction products Ocean Temperature –Brightness temperatures

After Level-2… Level-2 L3 Binning

Level 3 Binned data products (HDF) –data composites –binned Level 2 data (spatially and temporally) –arithmetic means with statistics for each bin –daily, 8-day, monthly, yearly periods –0.5, 1, 2, 4, 9, 36 km 2 resolutions –stored as one file or a main file with subordinates –useful for scientific research A L3b_MO.main

Sinusoidal Equal-Area Projection

Level 3 SMI (mapped) (HDF) –Mapped L3 binned product –Data is scaled to 16-bit values –Equidistant cylindrical projection A L3m_MO_CHLO_4

Ocean coverage over time for binned files

Ancillary data products (HDF and other formats) –NRT data and refined ancillary data –used in various stages of processing: Geolocation (attitude and ephemeris) Calibration (coefficient look-up tables) atmospheric correction (MET/OZONE/SST)

Operational MODIS Ocean Band Suite VIS/NIR Ocean Color Thermal SST

Notes

Ingest queue table L0 Ingest process L1A-L1B ( MOD_PR02 ) L1B-L2 (MSl12) MODISA L2 table Archive - Distrib Server L3BIN (l2bin) MODISA L3-bin table Archive - Distrib Server MODISA L3-map table Archive - Distrib Server Operational MODIS-Aqua Data Flow Software process Hardware system Database table Ancillary input data Sensor CAL Sensor attribs Atm corr Browser CGI / httpd Ocean Color Web Server User Community MySQL DB Ozone L3MAP (smigen) MET MET, Ozone, and OISST data are dynamically selected for each L1A granule Product meta data are populated from production DB August 21, 2015 OISST Level-0 Ingest MODISA L0 table Archive - Distrib Server ATT/EPH Ingest process MODISA atteph table Archive - Distrib Server L0-L1A ( MOD_PR01 ) Geo-Location ( MOD_PR03 ) MODISA L1 table Archive - Distrib Server Full-resolution day- and nighttime via SEN (~60 GB per day) NOAA Realtime System NASA EDOS System

ODPS Data Processing System Current Components Processing Cluster 34 processing nodes 1.5 TB Ingest Servers 2 SeaSpace groundstations 5 storage nodes 6 TB Distribution Servers (ftp) 6 storage nodes 7.2 TB Distribution Servers (web) 1 large server – 3 TB 58 storage nodes 69.6 TB Testing Cluster 13 test nodes 2 TB Network Support Systems Database Server 1 large server 876 GB Backup Servers 1 large server 876 GB+2 TB tape 5 storage nodes 6 TB Extreme Networks Black Diamond 6816 Gigabit Ethernet switch Development Servers 1 processing node 2 storage nodes 2.4 TB User Desktops Cal/Val & QC Systems Mission Operations Systems

Data Processing and Storage database controlled, distributed processing and storage system many Linux-based, processing nodes (34 dual 3GHz Xeon) 200X processing for MODIS/Aqua ocean color 4000X processing through-put for SeaWiFS ocean color 9-month OCTS mission can be reprocessed over lunch all data online for direct access (100TB RAID-5 array) capacity for global mission testing prior to reprocessing, allowing opportunity for community participation in reprocessing decisions direct and near real-time user access to data archives processing node storage node database server gigabit ethernet

Supermicro 6024 rack mount server 2Intel Xeon CPUs 3.06 Ghz 81 GB DDR2 RAM modules 2Intel Gigabit Ethernet network interfaces 1Seagate 80 GB EIDE disk (system) 5Maxtor 73.4 GB Atlas 10K IV Ultra320 SCSI disks (processing) 1CD-ROM (low profile) 1Supermicro X5DP8-G2 motherboard with built-in Ultra320 SCSI controller 1Supermicro 6024H 2U rack mount server case with dual power supplies Operating system: Linux Ocean Biology Data Processing System - Processing Node

NAS 1.2 TB rack mount server 1Intel Pentium-4 CPU 3.06 Ghz 2512 MB DDR2 RAM modules 1Gigabit Ethernet network interface 1Seagate 80 GB EIDE disk (system) 8Maxtor 250 GB MaxLine Plus II EIDE disks (RAID 5, 6 data + 2 hot spares) 1CD-ROM (low profile) 1Asus P4C800-E Motherboard 13ware Escalade RAID controller for 8 drives 1Comix Computer RM-3U9SCA (IDE) ATX rackmount chassis 3 U, 9 hot swappable drive bays Operating system: Linux Ocean Biology Data Processing System - Storage Node

SunFire V880 rack mounted 4-8UltraSPARC-III+ processors 8-16GB RAM GB 10K RPM FibreChannel disks 2Gigabit Ethernet nework interfaces 1-5Fast Ethernet network interfaces 1External FibreChannel adapter Operating system:Solaris Ocean Biology Data Processing System - Large Server

Extreme Networks Black Diamond Gbps total switching capacity Route/filter/forward 192 million pps 160 GigE ports in current configuration All modules are hot swappable 4MSM management modules 2G8Ti 8 port Gigabit Ethernet modules 6G24T3 24 port Gigabit Ethernet modules 4Hot-swappable power supplies Ocean Biology Data Processing System - Network Switch