Agenda Item: 3a Introduction, Agenda, and Plan | |
Presenter | Likun Wang |
Overview | Likun introduced the agenda and proposed some further web meetings. |
Discussion point, conclusions, Actions, Recommendations, Decisions | |
Tim Hewison proposed a Web Meeting to discuss revisions to the GEO-LEO IR algorithm to give better performance for cold scenes, following his analysis of the impact of GSICS Corrections on SEVIRI L2 products. It was agreed that this should take place some |
Agenda Item: 3b IASI-A end-of-life tests | |
Presenter | Yannick Kangah for Laura LeBarbier (CNES) |
Overview | 7 technical tests. Most relevant: NEdT improvement by switching off 3 out of 4 pixels Inter-calibration with IASI-B and –C. Limb acquisition during backflip maneuver – although problems limited use of data after first 10 minutes |
Discussion point, conclusions, Actions, Recommendations, Decisions | |
Q: How to use overlap in spatial density-enhanced acquisitions? A: Expected same performance in terms of geolocation accuracy during test. A: Not expected Q: Did the limb acquisition start before the maneuver? A: Yes Q: Data availability? A: Yes – through NOAA CLASS and EUMETSAT Data Centre from Campaign #3 (End of Life tests), but not Campaign #4 (deorbitting tests) |
Agenda Item: 3c IASI SNO tests during Metop-A End Of Life | |
Presenter | Bertrand Theodore (EUMETSAT) |
Overview | Limb acquisitions : Bertrand compared model and observations SNOs between IASI-A, -B (5 SNOs) and –C (3 SNOs):
Availability of data from EUMETSAT – on request to ops@eumetsat.int |
Discussion point, conclusions, Actions, Recommendations, Decisions | |
Q: Have you compared with results of previous QSNO off-nadir comparisons? A: Not yet – but in the plan |
Agenda Item: 3d IASI nonlinearity correction | |
Presenter | Bertrand Theodore (EUMETSAT) |
Overview | IASI non-linearity correction performed on-board in raw interferograms. Could it be removed a posteriori? Derived correction, based on earth view and black body interferogram baselines Initial validation confirms it works perfectly
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Discussion point, conclusions, Actions, Recommendations, Decisions | |
Q: Congratulations! Even though they said it couldn’t be done. How much processing work? A: about 1 month – before end 2022 Propose to present at IR Web Meeting to consider whether GSICS proposes new dataset for IASI-A as anchor reference for FCDR generation. |
Agenda Item: 3e O-B comparison for GEO imager | |
Presenter | Su Jeong Lee (Ewha Woman's University, Korea) |
Overview | From Lee and Ahn 2021, TGARS paper Applied to AMI, AHI, ABI, SEVIRI with ERA5 and KMA UM NWP + RTTOV RTM Clear sky over ocean for 1 month WV channels systematic bias due to NWP models being too moist Benefits:
Importance of having consistent cloud screen method for all satellites
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Discussion point, conclusions, Actions, Recommendations, Decisions | |
Q: Any feedback on striping in CO2 channels from instrument scientists? Fred Wu: strong VZA dependence evident in O-A maps – warrants further investigation
Q: RTM error at 8µm - due to RTM or model inputs?
Q: For high VZA, do you use a ray-trace through atmosphere to include multiple grid points? A: no – could be a large effect for high VZA – could introduce systematic bias at high latitudes Q: gaps in Indian Ocean? A: Overlapped O-A from multiple instruments – could also use Meteosat-8/SEVIRI from 41.5°E in 2019 |
Agenda Item: 3f O-B all- sky comparison for Hiwamari-8 GEO Imager | |
Presenter | Kozo Okamoto (JMA) |
Overview | First step to assimilation – investigate O-B characteristics NWP: JMA’s GSM RTM: RTTOV + Joint-Simulator Obs: Himawari-8/AHI 1 month period (Aug 2018), with consistent cloud fraction Broke-down statistics between clear and all sky
Developed QC – remove scenes that cannot be well modelled (low BT, thick ice cloud, large O-B, large CA, … Developed Bias Correction – based on Cloud Affect parameter (see Okamoto 2014 QJRMS) Compared O-B for AHI, ABI, SEVIRI (MSG4 outlier over S.Atlantic) Expectation for GSICS Activity:
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Discussion point, conclusions, Actions, Recommendations, Decisions | |
Q: More info on DARDAR cloud model? A: Cloudsat+CALIPSO combined product, which reduced O-B bias
Q: Any sign of striping in O-B images? A: Not found in ASR – but could be found in clear sky data, on close investigation
Q: Is model input uniform within each swath? A: Use common profile – no 3D effects along slant-path – tricky in cloudy situations Comment from Su-Jeong: striping issue observed only in CO2 channels – and due to detector differences. Comment from Su-Jeong: striping issue observed only in CO2 channels – and due to detector differences.
Q: Why striping/banding only found in CO2 channels? Web Meeting to follow-up on NWP method within GSICS Discussion for Friday plenary session: Cooperation with RTM developers to document |
Agenda Item: 3g Performance Status of FY-3E/HIRAS and FY-4B/GIIRS | |
Presenter | Lu Lee (CMA) |
Overview | Lu introduced HIRAS-II and GIIRS, including the important new FY-3E early-morning orbit.
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Discussion point, conclusions, Actions, Recommendations, Decisions | |
Q: FY-4A also carries GIIRS - has this been used for any operational applications? A: Chengli confirmed some papers have been published by CMA NWP on case studies (e.g. wind forecasting and hurricane monitoring) A: Why change GIIRS focal plane detector layout? A: long story - originally planned as an imager-sounder - new layout reduces off-axis effect Q: What improvements in HIRAS-II design compared to HIRAS-I in instrument design? A: Detector layout now more similar to CrIS + better noise performance + contiguous spectra + processing at full spectral resolution
Action: A.GIR.20220316.1: Chengli Qi (CMA) to share references of the papers you mentioned on the impact of GIIRS on NWP (winds, regional,... ) - done:
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Agenda Item: 3h Lake Titicaca as potential validation site | |
Presenter | Denis Tremblay, Simon Hook |
Overview | Lake at 3812m (649hPa) at 11-17°C Covers few CrIS FOV In-situ measurements of air temperature, pressure, RH, winds, skin temperature, radiosonde profiles + uplooking lidar and IR FTS + 4 buoys
Reviewed results for other lakes with MODIS+VIIRS
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Discussion point, conclusions, Actions, Recommendations, Decisions | |
Q: What are the uncertainties in all the inputs? And how do you propagate them through the RTM? (see slide ~11) A: conducted experiment with tropospheric emission spectrometer over Lake Tahoe - comparing with modelled radiances within 0.3K - will share poster Comment: These are valuable dataset, but difficult working environment to collect Q: Ground-up estimate of uncertainty in modelled top of atmospheric radiances? A: Studies suggest 0.23-0.25K uncertainty from atmosphere + RTM - can share! |
Agenda Item: 3i The Moon as a tool for the calibration of infrared sensors | |
Presenter | Constanze Seibert, Martin Burgdorf, Stefan Bühler (University of Hamburg) |
Overview | Case of the moon in the HIRS FOV. Better seen in the LW channels, as in the SW the moon is moving inside the FOV. Methodology is explained to find the moon intrusion looking at the counts. The moon represents 0.5 degrees, in a 1.4 degree FOV. Preliminary results show the moon BT in dependance of the phase angle for SW. The moon BT is around 340 K. Good agreement was shown between different HIRS channels and validation with models as well. |
Discussion point, conclusions, Actions, Recommendations, Decisions | |
Q: With the movement of the moon and satellite and so on, how can you be sure the lowest count gives the good position of the moon in the FOV? A: For the LW it is constant and easy to use, SW is more difficult we can’t be sure that we capture the moon Q: About SEVIRI, there is saturation in the IR. We are not sure it is then possible. A: Saturation is seen at specific phase angles. We need phase angle close to no moon (phase > 90) is possible, but not close to full moon where there will be saturation. |
I | Attachment | Action | Size | Date | Who | Comment |
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2022.03.12 Performance Status of FY-3E/HIRAS and FY-4B/GIIRS.pdf | manage | 8 MB | 15 Mar 2022 - 18:57 | LikunWang | ||
pptx | 20220316_GSICS_Okamoto_finals.pptx | manage | 6 MB | 16 Mar 2022 - 11:42 | LikunWang | |
GSICS presentations March 2022.pdf | manage | 3 MB | 18 Mar 2022 - 03:12 | LikunWang | ||
GSICS_2022_SuJeongLee.pdf | manage | 3 MB | 16 Mar 2022 - 02:47 | LikunWang | ||
pptx | GSICS_Agency_Report_ 2022_IASI_EOL_VF.pptx | manage | 1 MB | 16 Mar 2022 - 11:42 | LikunWang | |
GSICS_Seibert.pdf | manage | 5 MB | 18 Mar 2022 - 03:03 | LikunWang | ||
pptx | IR_validation_absolute_reference_20220316.pptx | manage | 4 MB | 16 Mar 2022 - 03:04 | LikunWang |