GOES-R ABI Emissive IR Bands Radiometric Performance Monitoring and Trending

Transcription

1 GOES-R ABI Emissive IR Bands Radiometric Performance Monitoring and Trending Haifeng Qian a, Robert Iacovazzi a, Xiangqian Wu b, Boryana Efremova a, Fangfang Yu a, Xi Shao a a ERT, Inc. Laurel, MD USA b NOAA, NESDIS, STAR, College Park, MD USA 2017 CALCON Technical Meeting August 22-25, 2017,Logan, UT GOES-16 is not declared operational. The ABI data are currently experimental and still undergoing testing. 1

2 Outlines A brief of features of GOES-16 Advanced Baseline Imager (ABI) instrument GOES-16 ABI IR bands radiometric performance monitoring and trending tools Instrument Performance Monitor (IPM) system Analysis flowchart of IPM Visualization of IPM Examples: IR Bands NEdT Trending, IR band gain midnight/noon jumping, bands striping GOES-16 ABI IR bands striping identification. Bands dependent striping. Bands striping identification with tools of animation and striping index. Summary 2

3 GOES-R ABI 3

4 GOES-16 Advanced Baseline Imager GOES-16 ABI is NOAA s most advanced geostationary weather instrument 16 spectral bands On-board radiometric calibration for all data Solar diffuser for VNIR bands Temperature-controlled blackbody for IR bands Reduced stray-light impacts Two independent scan-mirrors Faster scan 5 minutes Full-disk scan Improved detector quality Increased SNR for VNIR and reduced NEdT for IR Milestones of GOES-16 Date GOES-R was launched Became GOES Started Post-launch test (PLT) First ABI light for VNIR First ABI IR light First lunar image collection Entered into Beta maturity Entered provisional maturity Milestone 4

5 GOES-16 Advanced Baseline Imager (ABI) Nominal Scan Modes ABI Scan Mode 4: 5 minute Full Disk ABI Scan Mode 3: 30-second Meso 5 minute CONUS 15 minute Full Disk Housekeeping: Blackbody, spacelooks, stars Full Disk CONUS Meso Instrument Schematic 5 Graphics Courtesy Paul Griffith and Harris Corp.

6 GOES-16 ABI CWG IPM: Analysis Flow Network Attached Storage (from SCDR or External Source) GOES-16 IPM Inputs Web Server Storage GOES-R IPM Output Instr. Performance Monitor (IPM) o Engineering Telemetry o Cal Target (Blackbody, Solar Diffuser and Spacelook) Count Data, Noise Statistics and Cal Coefficients Import New Data [time(last processing):time(current)] Time Series (CSV Lists) Imagery (PNG) Export GOES-16 IPM Artifact Files Execute CSV write and imagery routines Compute Recent Engineering Telemetry and Cal Statistics and Update IPM Time Series Analyze New Data and Update GRIDS Long-Term Time Series Compute Standard Time Series Analysis (Min, Max, Mean, Standard Deviation) Import GOES-16 IPM Parameter Trending and Image Dataset Import Updated GRIDS Data [time(bol) : time(current)] and Analyze Long-Term Time Series Network Attached Storage Updated GOES-16 Dataset Storage (GRIDS) of Parameter Trending Data 6

7 GOES-16 ABI IPM Emissive IR Bands 7

8 GOES-16 ABI IPM Emissive IR Bands 8

9 GOES-16 ABI IPM Emissive IR Bands 9

10 GOES-16 ABI IPM Emissive IR Bands 10

11 GOES-16 ABI IPM Emissive IR Bands 11

12 GOES-16 ABI IPM Emissive IR Bands 12

13 STAR CWG VS. GS on IR Bands Counts NOAA STAR CWG also provides statistics analysis of ICT/space look counts monitoring and trending for GOES-16 ABI IR Bands, from sample level to daily level, in comparison with GS processing. Sample Level Orbit Level Detector Level Daily Level 13

14 GOES-16 ABI IPM Features GOES-16 ABI Emissive IR Bands IPM Features Input Output Features Number Descriptions Bands 10 GOES-16 ABI IR bands 7-16 Timelines 2 15min (M3), 5Min (M4) of INST-CAL NetCDF files from GS GS M3/M4 ICT counts, ICT NEDN, ICT NEDT, Space Parameters look count, Space look NEDT, Space look NEDT, 42 monitored offset, star look and their detector level, and CWG M3/M4 ICT count, space look Count etc. Statistics 4 Mean, Min, Max, STDV(selected) Resolutions 4 From sample, detector, orbital to daily levels Daily images 732 Currently daily 366 images for each timeline,expandable Daily storage 200mb for daily images and 200mb storage for 400 needed (MB) intermediate data arrays. 14

15 Example: GOES-16 ABI NEdT Trend Overall, GOES-16 ABI NEdT at ICT appears well within requirement and comparable to prelaunch measurements 15

16 Examples: IR Band Gain Midnight Jumping and Striping Striping Midnight Jump Noon jumping 16

17 GOES-16 ABI IR Band12 Striping

18 GOES-16 ABI IR Band 16 Striping

19 GOES-16 ABI IR Bands Striping Purpose: Identify the GOES-16 ABI IR bands striping on L1B pixel and INST-CAL detector level with GOES-16 ABI IPM. Data: ABI M3 MESO 1hours L1B on and and INST-CAL monitoring package. Method : y X Band BT (X,Y,T) Steps: 1) Mean on X,T dimensions BBBBxxxx(YY) BBBBxxxx(YY) = xxtt BBBB(xx,yy,tt) (1) 2) 11 points smoothing on Y dimension of BTxt(Y) sbtxt(y) = ff(btxt(y)) (2) 3) Then calculate the de-trended BTxt_dtttt(YY) = BTxt(Y) sbtxt(y) (3) 4) Neighboring difference for dbtxt(y) in y dimension ddbtxt(y) = BTxt_dtttt(y+1) BTxt_dtttt(y) (4) 5) Tune the threshold and flag the striping index Striping (Y) = ff(ddbtxt(y), threshold) (5) 19

20 GOES-16 ABI IR band 16 BBBBxxxx YY sbbbbxxxx(yy) BTxt_dtttt(YY) ddbtxt(y) Striping Index (Y) Diff_Tb magnitude Very sharp spike

21 GOES-16 ABI IR band 16 Striping Identification (Index) 21

22 Summary NOAA launched GOES-16 with the primary instrument Advanced Baseline Imager (ABI), which is providing three times more spectral information, four times the spatial resolution, and more than five times faster temporal coverage than the current GOES system. NOAA STAR CWG has developed an Instrument Performance Monitor (IPM) tool for GOES-16 ABI thermal IR band 7-16, providing an informative bands monitoring and trending, includes direct counts, gain, offset, NEdN, NEdT, etc., from the sample, detector, orbital, daily to life-time levels. CWG IPM and band striping identification tools support to identify IR Band midnight/noon gain jumping and bands striping on detector level. Overall, GOES-16 ABI IPM provides the quality monitoring and trending of IR bands and shows that GOES-16 ABI IR bands are stable, with ICT NEdT appears well within specification and comparable to prelaunch measurements. All of these are consistent with other CWG calibration results. Acknowledgements: Support by NOAA GOES-R CWG 22