Fangfang Yu, Fuzhong Weng, Xiangqian Wu, and Ninghai Sun

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Presentation transcript:

NOAA/NESDIS/STAR GOES/GOES-R Integrated Cal/Val System (ICVS) Long-Term Monitoring (LTM) Development Fangfang Yu, Fuzhong Weng, Xiangqian Wu, and Ninghai Sun Satellite Meteorology and Climatology Division Center for Satellite Applications and Research National Environmental Satellite, Data and Information Service

NOAA/NESDIS/STAR ICVS LTM LEO (NPP/JPSS, NOAA/Metop …) GEO(GOES/GOES-R) S-NPP: ATMS/CrIS/VIIRS/OMPS NOAA/Metop: AVHRR/HIRS/AMSU/MHS DMSP … GOES : Imager/Sounder Spacecraft, space weather instruments GOES-R: ABI (after launch) … under development

GOES/GOES-R ICVS Objectives Provide instrument scientists with calibration healthy status Provide users with information of radiance quality for product generation. Users’ Request in the 2013 Users Workshop: Satellite operational anomaly alerting system for the GOES-R series Facilitate communication of instrument anomalies amongst instrument engineers, calibration scientists and user community.

Web-based System… Focus on long-term monitoring of real-time on-orbit instrument performance and sensor data quality Weather instrument Monitoring (evolved from GOES IPM system) Spacecraft performance monitoring Space weather instrument performance monitoring Telemetry Calibration Coefficients Detector Noise Radiance Quality (GSICS) Upgrading Under development

GOES Imager/Sounder ICVS Monitoring Imager and Sounder ICVS monitoring currently available at: http://www.star.nesdis.noaa.gov/icvs/

GOES ICVS Daily Data Processing Flowchart Near Real-time L1B data Data Subset Calibration related dataset Imager monitoring Sounder monitoring Extract the individual Imager parameter and calculate the statistics Extract individual Sounder parameter and calculate the statistics BB SPLK TELE CAL BB SPLK TELE CAL Noise Noise Plotting and Report Plotting and Report

Current GOES ICVS LTM Parameters Satellite Instrument Calibration Related Telemetry Parameters Calibration Target Signals IR Calibration Coefficients Detector Noise GOES-13 Imager 14 4x5channels (2-8 det/chan) 2x4 channels (2 det/chan) 2x5chan (2-8 det/chan) Sounder 16 2x19channels (4 det/chan) 2x19 channels (4 det/chan) GOES-15 4x5 channels (2-8 det/chan) 2x5 channels (2-8 detectors) 2x18 channels

Multiple panels for a variety of temporal scales Diurnal variation for different PRT detectors Inhomogeneous heating of BB midnight heating and the latency Seasonal Variation strongest after-midnight heating around the summer solstice Long-term trending more apparent at certain time

Nominal calibration coefficients diurnal variation Erroneous Midnight calibration coefficients Seasonal variation erroneous midnight calibration coefficients increase as approaching summer jump with patch temperature switch Long-term trending - Increasing absolute coefficients values as sensor degrades

MBCC slopes cause jumps here Clamp pos MBCC slopes cause jumps here Due to contaminated splk

Data outage 05/22/2013- 06/06/2013 Data outage 05/22/2013- 06/06/2013 Noise jumped suddenly in early July 2012 Data outage from 09/12/2012-10/18/2012 , outgassing for Sounder

Examples of using GOES ICVS (GOES IPM) to investigate the root causes of calibration anomalies

GOES-15 Imager Calibration Anomaly in March 2012 First revealed by ECMWF monitoring of Tb Immediately identified with GOES-IPM monitoring from the change of calibration coefficients. Results of GOES-IPM system helped instrument engineers focus on investigating the final root cause in the ground system – change of SPS version http://cimss.ssec.wisc.edu/goes/blog/archives/9995 Evaluated with the GSICS GEO-LEO and GEO-GEO bias monitoring Wu et al. 2012

GOES-15 SNDR Ch 1-5 Anomaly in EMC GDAS Operational Monitoring … http://www.emc.ncep.noaa.gov/gmb/gdas/radiance/esafford/wopr/index.html

GOES-15 SNDR Ch 1-5 Anomaly in EMC GDAS Operational Monitoring …

Conclusions and Path Forward A very powerful tool Instrument performance health monitoring Diagnose the anomalies Address the users questions or concerns on the calibration changes Evaluate/verify the instrument performance post-launch test period recovery period right after instrument gets re-activated. Continue to evolve the GOES ICVS for GOES-R ABI monitoring purpose Implement and enrich the data quality monitoring Inter-calibration/inter-comparison Implement and improve the calibration alert notification function Provide flexible customized datasets for analysis