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Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR2 NRT Land, Atmosphere Near real-time Capability for EOS (LANCE) Helen Conover Information.

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Presentation on theme: "Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR2 NRT Land, Atmosphere Near real-time Capability for EOS (LANCE) Helen Conover Information."— Presentation transcript:

1 Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR2 NRT Land, Atmosphere Near real-time Capability for EOS (LANCE) Helen Conover Information Technology & Systems Center The University of Alabama in Huntsville hconover@itsc.uah.edu

2 Is part of NASA’s Earth Observing System Data and Information System (EOSDIS) https://earthdata.nasa.gov/data/near-real-time- data/about-lance Initiated and sponsored by NASA in 2009 to ensure the availability of NASA satellite data products to those partners who have grown to rely on those data for their decision support systems Provides Near-Real-Time (NRT) EOS data products within 3 hours of satellite observation with high availability Land, Atmosphere Near real-time Capability for EOS (LANCE) LANCE Data contributed to the successful forecast of hurricane Sandy 9/25/14 – 9/26/14User Working Group Meeting2

3 AMSR-E User Statistics 9/23/143AMSR Science Team Meeting

4 LANCE AMSR2 System Overview JAXA GCOM-W1Data Providing Service LANCE AMSR2 Level 2 and Level 3 processing at AMSR SIPS (GHRC) GIBS L1R EOSDIS User Registration System (URS) Worldview Redundant processing strings on 2 independent networks in different buildings will greatly reduce the possibility of data being unavailable due to system outages LANCE AMSR2 NRT data products will be available at AMSR SIPS on GHRC DAAC, for 7-14 days JPG/PNG imagery Data Ingest & Processing LANCE Web & FTP Server LANCE Web & FTP Server AMSR2 NRT L2, L3 daily Science data Data Ingest & Processing lance.nsstc.nasa.gov lance.itsc.uah.edu gwen.nsstc.nasa.gov gwen.itsc.uah.edu KSAT Svalbard Ground Station APID packets https://gcom-w1.jaxa.jp ECHO LANCE AMSR2 NRT data product in HDF-EOS5 metadata Registered Users

5 Approach Leverage as fully as possible the LANCE AMSR-E hardware and software architecture o Ingest from JAXA, rather than NASA GSFC EDOS Preliminary AMSR2 science algorithms provided by the US AMSR2 Science Team Processing automation software will be very similar, but require changes to accommodate new file names, etc. Documentation, including metadata and quality assessment, will require updates to accommodate differences in instrumentation Implement new requirements per 423-RQMT-002 o Integrate with the ESDIS URS4, including HTTPS access o Register data granules within EOS Clearing House and Common Metadata Repository 9/23/145AMSR Science Team Meeting

6 AMSR2 NRT Products 9/23/146AMSR Science Team Meeting Integrated the GPROF2010 (GSFC Profiling) retrieval code for a near real time AMSR2 precipitation and non-raining parameters product into the SIPS production environment. The algorithm has been compiled with GFortran on a 64-bit LINUX system and produces the same results as the CSU-provided binary sample files Next efforts are to define requirements and implement metadata and GIBS browse. GSFC Profiling Algorithm (GPROF2010) for precipitation and ocean parameters GSFC Profiling Algorithm (GPROF2010) for precipitation and ocean parameters JAXA Level-1R (HDF5) Level-2 Rain-Ocean Product (HDF-EOS5)

7 AMSR2 NRT Products (2) Integrated the preliminary AMSR2 snow water equivalent (SWE) algorithm into the SIPS production processing system. The algorithm has been compiled with GFortran on a 64-bit LINUX system and produces the same results as the CCNY-provided binary sample files Next efforts are to define requirements and implement metadata and GIBS browse. 9/23/147AMSR Science Team Meeting Preliminary AMSR2 SWE Algorithm (AMSR-E SWE) Preliminary AMSR2 SWE Algorithm (AMSR-E SWE) JAXA Level-1R (HDF5) Level-3 Snow Product (HDF-EOS5)

8 AMSR2 NRT Planned Products Product Short Name Description A2_RainOcean_NRT NRT AMSR2 L2B Global Swath Rain Rate/Type GSFC Profiling Algorithm A2_Land_NRTNRT AMSR2 L2B Surface Soil Moisture, Ancillary Parameters and QC EASE-Grids A2_Land3_NRT NRT AMSR2 Daily L3 Surface Soil Moisture, Interpretive Parameters and QC EASE-Grids A2_DySno_NRT NRT AMSR2 Daily L3 Global Snow Water Equivalent EASE-Grids A2_SI6_NRT NRT AMSR2 Daily L3 6.25 km 89 GHz Brightness Temperature (Tb) Polar Grids A2_SI12_NRTNRT AMSR2 Daily L3 12.5 km Tb, Sea Ice Concentration and Snow Depth Polar Grids A2_SI25_NRTNRT AMSR2 Daily L3 25 km Tb and Sea Ice Concentration Polar Grids 9/23/14LANCE UWG8 Working with preliminary algorithm Will the L2 swath and L3 daily products have different variables?

9 Discussion THANK YOU for your attention! Questions? Please contact GHRC User Services for any help or questions ghrcdaac@itsc.uah.edu ghrcdaac@itsc.uah.edu 9/23/149AMSR Science Team Meeting Place Your Image Here


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