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Support transition of GSIP LST products to the Enterprise Processing System

Research Topic: Earth System Modeling from Satellites
Task Leader: Yuling Liu
CICS Scientist: Yuling Liu
Sponsor: NESDIS STAR SMCD
Published Date: 9/26/2017
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2017 ANNUAL REPORT

Background

This report summarizes the work of the project entitled “supporting the transition of GOES LST product to the enterprise processing system”.  Information on land surface temperature (LST) is important for understanding climate change, modeling the hydrological and biogeochemical cycles. Current GOES LST is an independent product running at OSPO. It was proposed to integrate GLST product into the enterprise operational system. This task is a part of the enterprise product development project with the objective of providing support for the transition of GOES LST product to the enterprise system.

Accomplishments  

1)      Emissivity update

a)      The emissivity data used as input for GOES LST retrieval are updated annually. The most recent 10 years of monthly emissivity data is used to generate the average emissivity for GLST use. The emissivity in 2016 has been included in the latest update.

2)      Corrected the error in the GLST code for the quality flag related to the snow cover

a)      Fixed the error in the software code. Performed the code test in the local environment.

b)      Delivered the code package and verified the output from OSPO.

3)      Delivered the code package to ASSIST.

4)      GLST verification and validation report on the input GSIP V3 update

a)      Compared the old and new GLST with different versions of the GSIP V3 data. The GLST image looks very different. It was confirmed that the cloud mask 4-tier classification scheme has been changed in the updated GSIP V3 data. The configuration file has been changed accordingly to adapt for the new cloud mask.

b)      Verified the output from OSPO.

c)       A verification report has been delivered to summarize the modifications and test results regarding to the new GSIP update.

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Figure 1. The GLST image generated for visual check: new GLST (top) and old GLST (bottom)

5)      Provided scientific and technical support on the implementation of the GLST in the framework. This task took much more time than expected because the input data has been totally changed so as the logic in the LST calculation and quality flag setting has to be changed accordingly.  For example, previous required input is GSIP V3 which includes all variables in one single file but in the framework, all input SDR data, cloud data, land mask data, snow cover data, tpw data etc are from different products in the framework chain which have different data structure and data interpretations. The dramatic differences in the input as well as the framework requirements increase the difficulties and complexities in the integration.

a)      Determined the new quality flag list and criteria

b)      Considering that there is no reference GLST to verify if the modified code working correctly,  IDL code is written to generate LST, quality flag as well as the metadata.

c)       Verify the output from the framework. GLST in four domains including NHEM and FD for GOES 13 and GOES 15 , respectively are selected as scenarios for the verification. Many inconsistencies have been observed and got solved finally e.g. standard deviation calculation, daynight QC setting, snow flag error, wrong coefficient file for G15 LST calculation etc.

d)      Documentation update. Due to the change in GLST input, the QC logic needs to be updated. An Amendment has been added to the GOES LST ATBD.

e)      Provide materials for the test readiness review(TRR)

Planned work         

  • Maintenance of the GLST product
  • Scientific and technical support on the future update.

Products      

  • GOES LST product.

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Figure 2. The GLST image generated using the enterprise system input for GOES13 (top) and GOES 15 (bottom)

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