Monitoring Suomi-NPP CrIS Instrument Status and Data Quality at NOAA
Xin Jin1, Yong Han2, Ninghai Sun3, Fuzhong Weng2, Likun Wang3, Yong Chen3, Denis Tremblay4
1 ERT,
Inc.,
2 NOAA/NESDIS/STAR, 3UMCP, 4Science
Data Processing, Inc., Contact: xin.jin@noaa.gov
Abstract
A web-based trending/monitoring system is developed at NOAA/STAR to track the SNPP CrIS instrument status and operational radiance product data quality. A comprehensive collection of metrics are covered by this system, including: 1) all CrIS SDR products, 2) all
metrics collected from the 8-second calibration telemetry packet, 3) the instrument response, including noise, gain and offset, directly derived from the science telemetry packet, and 4) more than 40 critical housekeeping parameters. Moreover, some cross-calibration
methods are presented, including the geolocation evaluation using VIIRS and the radiance bias monitoring using radiative transfer model.
CrIS is a space-borne hyper-spectral instrument and it collects a huge mount of data every day. To keep tracking the instrument status and data quality in time without missing any anomaly event, some special designs are implemented, including a processing log for each
RDR and SDR granule, an automatic anomaly warning functionality through e-mail, a collection of ancillary files (CMO, Two–line Element, and Polarwander). Plus, a mission event log is maintained manually, recording any mission-related activities.
We have reported and diagnosed a number of software bugs, instrument anomalies, operational mistakes, and natural events through this system. It is now inevitable for operational users.
Save data for plotting
Create processing log
Send alert if anomaly presents
Start job every 6 hours
Post results on NOAA ICVS website
Anomaly
found
======================== Some housekeeping metrics =========================
Download data:
RDR, SDR, Housekeeping, CMO, TLE, and
PW from CLASS or GRAVITE
Process Housekeeping RDR:
A number of metrics indicating
hardware performance
Save data for plotting
Create processing log
Send alert if anomaly presents
Check data traffic status:
1)Missing granules
2)Repaired granules
3)Corrupted H5 or CCSDS
Anomaly
found
=================== Some science and calibration RDR metrics ===================
Process science RDR:
interferogram status, calibration target
status, sampling laser performance,
system response, and etc.
Yes
Data incomplete or
corrupted within
past 5 days
Save data for plotting
Create processing log
Send alert if anomaly presents
Still missing
data
All metrics saved in SDR granules,
cross-calibration with VIIRS for
geolocation, comparison with CRTM
for radiance bias monitoring
Report to IDPS and record
it in mission event log
Debugging
No
using the same
input and ancillary
files as IDPS does
Check the anomalies
1) Contact ITT if it is
hardware mal-functioning
2) RDR status: true or false?
3) Corrupted but not reported
by RDR QF
4) Impact on SDR product
5) Record in mission log
Process SDR:
Yes
Run ADL:
http://www.star.nesdis.noaa.gov/icvs/status_NPP_CrIS.php
Anomaly
reproduced
Yes
1) Operational mistakes?
2) If necessary, report it as
a new DR
3) Record in mission log
1) Debug ADL and report it
as a DR
2) Record in mission log
Anomaly
found
=================== Some SDR and cross-calibration metrics =====================
1) Check if it is due to spacecraft maneuver
or natural event, such as orbital
adjustment, solar eclipse , and etc.
2) Record in mission log
If no bug
in ADL
More than 130 metrics are monitored by the web-based ICVS system. Special considerations are taken to treat each of
them: 1) the raw 8-second record and daily/hourly averaged values are selected for scan-level time series; 2) the pixellevel time series and mapping are prepared for parameters with geological features; 3) a full range of spectral coverage
is provided to monitor parameters with spectral features, such as NEDN, imaginary radiance anomaly, and etc.
Summary
This system has been running since the beginning of SNPP mission. We have identified and fixed more than 25 bugs in SDR algorithm with it, and some of them are critical. Those hardware anomalies are closely monitored. It has also helped the ground segment to improve
their data acquiring algorithm and to optimize the re-tasking procedure. We have planned to move this system to NOAA/OSPO (Office of Satellite and Product Operations) so that we can track the instrument status and radiance products almost real-time.