1. GOES-R Bernie Connell Cooperative Institute for Research in the Atmosphere Colorado State University, USA 5 February 2015 NASA image ISS006-E-48196

2. 2 Bernie Connell 1, Timothy J. Schmit 2,3, Jim Gurka 5, Steve Goodman 5, Don Hillger 2,4, Steven Hill 6, And many other contributors GOES-R Program in cooperation with Satellite Hydrology and Meteorology (SHyMet) Forecasters Course 1 Cooperative Institute for Research in the Atmosphere, Colorado State University 2 NOAA/NESDIS Satellite Applications Research 3 Advanced Satellite Products Branch 4 Regional and Mesoscale Meteorology Branch 5 NOAA/NESDIS/OSD GOES-R Program Office 6 NOAA/NWS Space Weather Prediction Center 7 Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison Content taken and adapted from GOES-R 101 http://rammb.cira.colostate.edu/training/shymet/forecaster_goesr101.asp

3. o Why and When? o What Sensors and Capabilities? o What major changes are expected? o How are we evaluating them now? o Examples – lightning, new imager channels (visible, near-IR, WV, IR) and viewing of ice cloud, water cloud, dust, ash o Information Links Outline

4. To replace the GOES N/O/P (13/14/15) series To maintain continuity of the GOES mission To provide significant increases in spatial, spectral, temporal, and radiometric resolution of products Why GOES-R?

5. When? http://www.nesdis.noaa.gov/FlyoutSchedules.html

6. How are we getting ready? Proving Ground research operations Infuse GOES-R like channels, products and techniques into NWS operations Encourage dialogue and feedback between developers and users. http://cimss.ssec.wisc.edu/goes_r/proving-ground.html

7. GOES-R Which Sensors and Capabilities? –Communication Capabilities HRIT/EMWIN, DCS, SARSAT, GRB –Solar and Space Environment SUVI, EXIS, SEISS, MAG –Geostationary Lightning Mapper (GLM) –Advanced Baseline Imager (ABI)

8. NOAA/NWS Space Weather Prediction Center Earth-Space Activities disrupted by solar and geomagnetic events Satellite operations Navigation Space Station activities High-altitude polar flights Electric power distribution Long-line telephone communication HF radio communications Pipeline operations Geophysical exploration http://www.swpc.noaa.gov/http://www.swpc.noaa.gov/ check out the Education/Outreach link Why are we interested in Space Weather?

9. Example: 20 January 2005 storm 9 03:00:29 06:50:50 07:00:30 07:50:51

10. GOES-R Which Sensors and Capabilities? –Communication Capabilities HRIT/EMWIN, DCS, SARSAT, GRB –Solar and Space Environment SUVI, EXIS, SEISS, MAG –Geostationary Lightning Mapper (GLM) –Advanced Baseline Imager (ABI)

11. Communication Capabilities Improved user services for direct readout: GOES-R services include: HRIT/EMWIN – High Rate Information Transmission / Emergency Managers Weather Information Network DCS--Data Collection System GRB – GOES Rebroadcast  Follow on of L-Band GVAR SARSAT--Search and Rescue Satellite Aided Tracking

12. GOES-R Which Sensors and Capabilities? –Communication Capabilities HRIT/EMWIN, DCS, SARSAT, GRB –Solar and Space Environment SUVI, EXIS, SEISS, MAG –Geostationary Lightning Mapper (GLM) –Advanced Baseline Imager (ABI)

13. Geostationary Lightning Mapper (GLM) An estimate of the annual climatological lightning density in the GLM viewing areas.

14. GLM Detects total strikes: in cloud, cloud to cloud, and cloud to ground –Compliments today’s land based systems that only measure cloud to ground lightning (about 15% of the total) –Compliments today’s research based polar orbiting systems. Increased coverage over oceans and dead zones over land –Beneficial for aviation convective weather hazards

15. How does lightning activity vary as TC/Hurricane undergoes intensity change? Is there a useful predictor? Hurricane Katrina: Lightning Imaging Sensor (LIS) 24 Aug 05 Los Alamos Sferics Array, August 28, 2005, Shao et al., EOS Trans., 86 LIS Background Images read out once per min 4 km ifov @ 777.4 nm Orbit swath 600 km

16. GOES-R Which Sensors and Capabilities? –Communication Capabilities HRIT/EMWIN, DCS, SARSAT, GRB –Solar and Space Environment SUVI, EXIS, SEISS, MAG –Geostationary Lightning Mapper (GLM) –Advanced Baseline Imager (ABI)

17. ABI: Advanced Baseline Imager Increased resolution temporal spatial spectral radiometric Better navigation

18. 1/5 Disk Current GOES-I/P Increased Imaging Capability 5 Minute Coverage GOES-R Full Disk

19. 1/5 Disk Increased Imaging Capability 5 Minute Coverage GOES-R Full Disk ABI Scan Modes 15 minute cycle 1 Full Disk 3 CONUS 1000km x 1000km every 30 seconds Continuous 5 minute Full Disk Current GOES-I/P

20. ABI: Advanced Baseline Imager Increased resolution temporal spatial spectral radiometric Better navigation

21. The Advanced Baseline Imager: ABICurrent Spectral Coverage 16 bands5 bands Spatial resolution at nadir 0.64  m Visible 0.5 km Approx. 1 km Other Vis/near-IR1.0 & 2.0 kmn/a SW, WV & LW IR2.0 kmApprox. 4 km (bands > 2µm) MAJORchanges in spectral coverage AND spatial resolution MAJOR changes in spectral coverage AND spatial resolution

22. GOES-R imager band Wavelength range (µm) Central wavelength (µm) Nominal subsatellite IGFOV (km) Comments for daytime viewing 10.45-0.490.471 “blue” visible Aerosol over land 20.59-0.690.640.5 GOES heritage “red” visible High res animations 30.846-0.8850.8651 Vegetation state Aerosol over water 41.371-1.3861.3782 Cirrus/upper level cloud 51.58-1.641.611 Cloud-top phase and particle size Snow distinction 62.225-2.2752.252 Distinguish land, cloud, snow, and ice properties ABI Visible/Near-IR Bands Schmit et al, 2005

23. Visible to Near Infrared

27. 27

28. 28

29. Visible to Near Infrared IR 1.6

30. 30

31. MODIS channels

33. 33 MODIS Terra Band 1 (0.645µm) 0.5 km resolution similar to ABI Band 2 (0.64 µm) visible “red” heritage

34. 34 MODIS Terra Band 3 (0.469 µm) 1.0 km resolution similar to ABI Band 1 (0.47 µm) visible “blue”

35. MODIS Terra Band 1 (0.645µm) 1.0 km resolution similar to ABI Band 2 (0.64 µm) visible “red” heritage

36. 36 MODIS Terra Band 2 (0.858 µm) 1.0 km resolution similar to ABI Band 3 (0.865 µm)

37. 37 MODIS Terra Band 26 (1.375 µm) 2.0 km resolution similar to ABI Band 4 (1.378 µm)

38. 38 MODIS Terra Band 6 (1.64 µm) 1.0 km resolution similar to ABI Band 5 (1.61 µm)

39. 39 MODIS Terra Band 7 (2.13 µm) 2.0 km resolution similar to ABI Band 6 (2.25 µm)

40. 40 False RGB: R - 1.6 µm (Band 6) (ABI Band 5) MODIS TerraG - 0.8 µm (Band 2) (ABI Band 3) B – 0.6 µm (Band 1) (ABI Band 2)

41. 41 Cloud streets over the Black Sea (24 February 2007) by Mária Putsay, Kornél Kolláth and Ildikó Szenyán, Hungarian Meteorological Service water Copyright 2007 EUMETSAT METEOSAT Second Generation 24 Feb. 2007 11:55 UTC RGB: NIR 1.6 VIS 0.8 VIS 0.6 MSG RGB 2007 Feb. 24: 11:55 UTC

42. 42 GOES-R imager band Wavelength range (µm) Central wavelength (µm) Nominal subsatellite IGFOV (km) Comments 73.80-4.003.902 GOES imager heritage 85.77-6.66.192 GOES imager heritage 96.75-7.156.952 GOES sounder heritage 107.24-7.447.342 GOES sounder heritage with spectral modifications 118.3-8.78.52 Cloud-top phase Ash/dust, SO 2, sulfates 129.42-9.809.612 Ozone. GOES sounder heritage with spectral modifications 1310.1-10.610.352 Surface and cloud temperatures, low level moisture, dust and volcanic ash 1410.8-11.611.22 1511.8-12.812.32 1613.0-13.613.32 Heritage from GOES imager and sounder: temperature, cloud characteristics. ABI IR Bands Schmit et al, 2005

43. 43 (C)

44. 44

45. 45 (C)

47. 47

52. METEOSAT-8 3 March 2004 12:00 UTC EUMETSAT Satellite Image of the Month Dust storm over Western Africa and the Canary Islands Copyright 2004 EUMETSAT RGB Composite IR12.0 – IR10.8 IR10.8 – IR8.7 IR10.8

53. 27 Aug. 2013 1115 UTC27 Aug. 2013 1215 UTC 27 Aug. 2013 1315 UTC27 Aug. 2013 1145 UTC

54. RGB composite 12-10.8 10.8-8.7 10.8 Source: EUMETSAT Satellite Image of the Month Eruption of the Chaitén volcano in Chile (2-9 May 2008) HansPeter Roesli and Jochen Kerkmann Copyright 2008 EUMETSAT -90 -70 -50 -30 -10 10 20 (C)

55. RGB Air Mass Product with Lightning Example courtesy of John Knaff, NOAA/NESDIS/STAR/RAMMB RGB composite 6.2-7.3 9.7-12.2 6.2 -90 -70 -50 -30 -10 10 20 (C) -90 -70 -50 -30 -10 10 20 (C)

56. Satellite-derived winds will be improved with the ABI due to: - higher spatial resolution (better edge detection) - more frequent images (offers different time intervals) - better cloud height detection (with multiple bands) - new bands may allow new wind products - better NEdT’s - better navigation/registration Satellite-derived winds

57. New instruments and capabilities: Solar, Communication, Geostationary Lightning Mapper (GLM), and Advanced Baseline Imager (ABI) GOES-R Home Page http://www.goes-r.gov/http://www.goes-r.gov/ Summary VIS and Near-IRSW-IR WV LW-IR GOES R 6 + 10 -90 -70 -50 -30 -10 10 20 (C)

58. New instruments and capabilities: Solar, Communication, Geostationary Lightning Mapper (GLM), and Advanced Baseline Imager (ABI) GOES-R Home Page http://www.goes-r.gov/http://www.goes-r.gov/ Summary VIS and Near-IRSW-IR WV LW-IR or Current GOES 1 + 4 -90 -70 -50 -30 -10 10 20 (C)

59. Links GOES-R Home Page http://www.goes-r.gov/ GOES-R Proving Ground http://cimss.ssec.wisc.edu/goes_r/proving-ground.html GOES-R 101 http://rammb.cira.colostate.edu/training/shymet/forecaster_goesr101.asp COMET module on GOES-R ABI https://www.meted.ucar.edu/training_module.php?id=987 COMET module on GOES-R GLM https://www.meted.ucar.edu/training_module.php?id=1080 EUMETSAT Image Gallery http://www.eumetsat.int/Home/Main/Image_Gallery/index.htm?l=en Near Real Time MODIS images: http://lance-modis.eosdis.nasa.gov/cgi-bin/imagery/realtime.cgi Satellite channels http://rammb.cira.colostate.edu/training/rmtc/newsat.asp Or email: bernie.connell@colostate.edu