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Report from ROSHYDROMET

This report discusses the participation of Roshydromet Russia in EP, GDWG, and GRWG, highlighting their contributions, developments, and calibration performance of Russian meteorological satellite systems. It also addresses the challenges and solutions in inter-calibration.

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Report from ROSHYDROMET

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  1. Report from ROSHYDROMET Presenter - Alexey Rublev State Research Center “PLANETA”, ROSHYDROMET Russia • GSICS-EP-20, Sochi, Russian Federation • 17 May 2019

  2. Participation in EP, GDWG, GRWG • Points of contacts/meeting participants: • EP : Alexander Uspensky • GRWG: Alexey Rublev • GDWG: Sergey Uspensky • Main contribution to GDWG actions • Provision of near-real-time MTVZA-GY data to EUMETSAT (until August 2017) • Provision of near-real-time IKFS-2 data to EUMETSAT • Main contribution to GRWG actions • Development of post-launch calibration procedure for Russian scanners and sounders (MSU-MR, MTVZA-GY, IKFS-2, MSU-GS) • Development of new GEO-GEO inter-calibration method that can be applied for IR channels of radiometers installed on GEO satellites with different sub-satellite points (https://www.frontiersin.org/articles/10.3389/fenvs.2018.00142/full) • Development of the website devoted to the Russian meteorological Cal/Val system with access to long-time archive of satellite instruments data on test regions selected worldwide (https://planet.rssi.ru/calval) • Special issue of GSICS Quarterly Newsletter on calbration research in Russia (https://repository.library.noaa.gov/view/noaa/17935) • Deveopment of the Algorithm Theoretical Basis Document (ATBD) for GSICS Inter-Calibration of IKFS-2 sounders on Meteor-M satellites using SEVIRI/MSG and IASI/Metop Observations (under construction)

  3. Satellite/Instrument Summary 2019 2018

  4. Russian Meteorological Satellite Systems (Federal Space Program for 2016-2025)

  5. Calibration Performance: MSU-MR Shortwave channels vs AVHRR/Metop-A IR channels vs SEVIRI/Meteosat-10 (-11)

  6. Calibration Performance: IKFS-2 Comparison with SEVIRI/Meteosat-10 channels Daily averaged (IKFS-IASI) BT differences from Jul 2015 to Jun 2017 (once per 2 months) These results, firstly, confirm the proper quality and stability of the radiometric calibration of the IKFS-2 measurements, and secondly, demonstrate good quality of the spectral calibration of the IKFS-2 instrument.

  7. 2018 LEO-GEO: IKFS-2 vs SEVIRI under sea surface TbIKFS-2, K TbIKFS-2, K TbIKFS-2, K Ch 10.8 μkm Ch 12.0 μkm Ch 13.4 μkm TbSEVIRI, K TbSEVIRI, K TbSEVIRI, K • Y=1.81+0.994*x • BIAS= -0.108 K • RMSbias= -0.006 K • Y=7.149+0.976*x • BIAS= -0.027 K • RMSbias= -0.002 K • Y=1.184+0.995*x • BIAS= 0.135 K • RMSbias= 0.007 K TbIKFS-2, K TbIKFS-2, K TbIKFS-2, K

  8. 2018 LEO-GEO: IKFS-2 vs SEVIRI

  9. Calibration Performance of MSU-GS: Visible/Near-Infrared Channels Inter-calibration of MSU-GS shortwaves channels versus the VIIRS/Suomi NPP Comparison above deep convective clouds over the Indian Ocean ± 20° North/South and East/West of Elektro-L No. 2 sub-satellite point (76E) Calculated SBAF between MSU-GS and VIIRS ~1.0 for each pair of channels

  10. GEO-GEO Inter-Calibration of MSU-GS channel #9 (10.7mm) SEVIRI/Meteosat-10 was chosen as a reference instrument R=0.996 Amplitude of the mean offset (blue curve) less 0.2° for BT ~ 300K and gradually increases to 1° for BT~200K Mean Bias= 0.2±0.14K

  11. GEO-LEO Inter-Calibration of IR MSU-GS channels, 11.2018-01.2019 Ch.#6: 8.0mm TMSU(IKFS-2), K StDev = 2.34 K TMSU, K Ch.#8: 9.7mm Ch.#7: 8.7mm • The regression relationships for 7-9 channels of MSU-GS vs IKFS-2 as a reference instrument data practically do not differ from the relationships obtained before in March-June 2018 . TMSU(IKFS-2), K TMSU(IKFS-2), K StDev = 1.54 K StDev = 2.0 K TMSU, K TMSU, K

  12. Cal/Val site of Russian hydrometeorological instruments http://planet.rssi.ru/calval/ Statistics of CalVal site attendance in this year 282 visitors

  13. Common problems of inter-calibration • It is necessary to have more detailed information on • real spatial resolution of radiometer data after all processing steps (not only pixel size in nadir); • errors of geolocation and estimates of their effect on inter-calibration precision. • post-launch calibration studies (LEO-LEO) for sounding and scanner channels of the satellite microwave radiometers (like MTVZA-GY/ Meteor-M) The new problem: post-launch calibration of MSU-GS scanner (HEO Arctica satellite ) • How to do inter-calibration of the shortwave and infrared channels of MSU-GS? • What reference instrument could be used?

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