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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 Technology & Systems Center The University of Alabama in Huntsville [email protected]

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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Page 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

Presented at AMSR Science Team MeetingSeptember 23-24, 2014

AMSR2 NRTLand, Atmosphere Near real-time Capability for EOS (LANCE)

Helen ConoverInformation Technology & Systems CenterThe University of Alabama in [email protected]

Page 2: Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR2 NRT Land, Atmosphere Near real-time Capability for EOS (LANCE) Helen Conover Information

• 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 Meeting 2

Page 3: Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR2 NRT Land, Atmosphere Near real-time Capability for EOS (LANCE) Helen Conover Information

3AMSR Science Team Meeting

AMSR-E User Statistics

9/23/14

Page 4: Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR2 NRT Land, Atmosphere Near real-time Capability for EOS (LANCE) Helen Conover Information

LANCE AMSR2 System Overview

JAX

A G

CO

M-W

1D

ata

Pro

vid

ing

Serv

ice

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

API

D

pack

ets

http

s://g

com

-w1.

jaxa

.jp

ECHO

LANCE AMSR2 NRT data product in HDF-EOS5

metadata

Reg

iste

red

U

sers

Page 5: Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR2 NRT Land, Atmosphere Near real-time Capability for EOS (LANCE) Helen Conover Information

5AMSR Science Team Meeting

Approach• Leverage as fully as possible the LANCE AMSR-E hardware

and software architectureo 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-002o Integrate with the ESDIS URS4, including HTTPS accesso Register data granules within EOS Clearing House and

Common Metadata Repository

9/23/14

Page 6: Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR2 NRT Land, Atmosphere Near real-time Capability for EOS (LANCE) Helen Conover Information

6AMSR Science Team Meeting

AMSR2 NRT Products

9/23/14

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

JAXA Level-1R(HDF5)

Level-2 Rain-Ocean Product

(HDF-EOS5)

Page 7: Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR2 NRT Land, Atmosphere Near real-time Capability for EOS (LANCE) Helen Conover Information

7AMSR Science Team Meeting

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.

9/23/14

Preliminary AMSR2 SWE Algorithm (AMSR-E SWE)

JAXA Level-1R(HDF5)

Level-3 Snow Product(HDF-EOS5)

Page 8: Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR2 NRT Land, Atmosphere Near real-time Capability for EOS (LANCE) Helen Conover Information

8LANCE UWG

AMSR2 NRT Planned ProductsProduct Short Name Description

A2_RainOcean_NRTNRT AMSR2 L2B Global Swath Rain Rate/Type GSFC Profiling Algorithm

A2_Land_NRT NRT AMSR2 L2B Surface Soil Moisture, Ancillary Parameters and QC EASE-Grids

A2_Land3_NRTNRT AMSR2 Daily L3 Surface Soil Moisture, Interpretive Parameters and QC EASE-Grids

A2_DySno_NRTNRT AMSR2 Daily L3 Global Snow Water Equivalent EASE-Grids

A2_SI6_NRTNRT AMSR2 Daily L3 6.25 km 89 GHz Brightness Temperature (Tb) Polar Grids

A2_SI12_NRT NRT AMSR2 Daily L3 12.5 km Tb, Sea Ice Concentration and Snow Depth Polar Grids

A2_SI25_NRT NRT AMSR2 Daily L3 25 km Tb and Sea Ice Concentration Polar Grids

9/23/14

Working with preliminary algorithm

Working with preliminary algorithm

Will the L2 swath and L3 daily products have different

variables?

Page 9: Presented at AMSR Science Team Meeting September 23-24, 2014 AMSR2 NRT Land, Atmosphere Near real-time Capability for EOS (LANCE) Helen Conover Information

9AMSR Science Team Meeting

Discussion

THANK YOUfor your attention!

Questions?

Please contact GHRC User Services for any help or questions [email protected]

9/23/14

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