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Weekly Article -

CIRA/CSU Participation at the American Meteorological Society Collective Madison Meeting

23 CSU/CIRA and RAMMB employees participated in this week’s American Meteorological Society Collective Madison Meeting (AMS-CMM, Madison, WI, 8-12 August 2022).  Below is the list of CIRA and RAMMB oral and poster presentations and chaired sessions.  (POC: R. Brummer, CIRA,, Funding: GOES-R, JPSS).

  • Apke, J., W. Line, M. Rogers, S. D. Miller, Y. Lee, C. Seaman, and K. Bedka, 2022: Imagery products created with the optical flow code for tracking, AMV, and nowcasting experiments (OCTANE) toolkit. Oral.
  • Apke, J., S. D. Miller, C. Seaman, and C. Jackson, 2022: Extracting sea-ice motion with optical flow retrieval from overlapping day-night band image sequences. Poster.
  • Apke, J., J. M. Forsythe, S. Q. Kidder, D. Bikos, S. J. Kusselson, and N. Tourville, 2002: Wind retrieval from layer precipitable water image sequences. Poster.
  • Apke, J., W. Line, C. Seaman, D. Lindsey, and L. Grasso, 2022: GeoXO: Optical flow-based simulations of the planned 3.9 μm band over fires. Oral.
  • Back, A., S. S. Weygandt, C. R. Alexander, K. Hilburn, Y. Lee, J. R. Mecikalski, S. Iles, D. Dowel, A. E. Sebok, M. Xue, R. Kong, and A. Kliewer, 2022: Regional hourly-updating GOES satellite data assimilation activities in support of future rapid refresh systems at NOAA. Oral.
  • Bikos, D.and Jim LaDue, 2022: Recent training activities on data fusion techniques.
  • Connell, B., E. Sanders, J. Galvez, and K. A. Caesar, 2022: Mapping and Assessing the Long Term Connections of the Regional Focus Group of the Americas and the Caribbean. Oral.
  • Daub, B., J. D. Turner, Y.-J. Noh, J. M. Haynes, and S. D. Miller, 2022: Validating cloud-based height satellite products with surface measurements. Poster.
  • DeMaria, M., 2022: Tropical Cyclone Outflow Layer Diagnostics using GOES Derived Motion Winds. Oral.
  • Forsythe, J.: New Applications of the Advected Layer Precipitable Water (ALPW) Product as it Transitions to Operations. Oral.
  • Forsythe, J.: Blending Cooperative Institute Research to Upgrade the NOAA Operational Blended Total Precipitable Water Product. Poster.
  • Grasso, L., J. Dostalek, Y.-J. Noh, C. Seaman, and W. Line, 2022: GeoXO: Low-level water vapor detection. Poster.
  • Haynes, J.M., Y.-J. Noh, B. Daub, M. Niznik, S.D. Miller, K. Haynes, I. Ebert-Uphoff, and A. Heidinger, 2022: Recent advances in vertical cloud structure determination and visualization from passive satellite sensors. Oral.
  • Haynes, K., C. Slocum, J.A. Knaff, K. Musgrave, and I. Ebert-Uphoff, 2022: Using operational geostationary satellites to simulate microwave imagery. Oral.
  • Hilburn, K., A. Farguell, A. Kochanski, J. Mandel, L. Nguyen, and T. Chee, 2022: The value of low latency satellite data for initializing coupled fire models. Oral.
  • Hilburn, K., 2022: Interpretable GREMLIN. Poster.
  • Hilburn, K., S. Stevenson, K. Musgrave, and B. Trabing, 2022: Enhancing forecast applications of GOES-R GLM in tropical cyclones. Oral.
  • Lagerquist, R. A. and Imme Ebert-Uphoff, 2022: Nowcasting Convection from Satellite Data with Deep Learning and Uncertainty Quantification. Oral.
  • Lee, Y., J. Apke, I. Ebert-Uphoff, and K. Hilburn, 2022: Using optical flow to remove storm motion from GOES-16 image sequences to help machine learning algorithms detect convection. Poster.
  • Lin, H.: Assimilation of satellite radiance data in prototype RRFS: Recent updates and ongoing work. Poster.
  • Line, W., D. Hillger, J. Turner, and M. Bleiweiss, 2022: Creating a Blowing Dust Climatology from NOAA Satellite Imagery. Poster.
  • Miller, S. D., S. H. D. Haddock, W. C. Straka III, C. Seaman, C. Combs, M. Wang, W. Shi, and S. Nam, 2022: From folklore to fact – The day/night band casts light on the ‘Milky Sea’ bioluminescence phenomenon. Oral.
  • Noh, Y.-J., S. D. Miller, L. Grasso, C. Seaman, A. Ignatov, A. Heidinger, S. Nam, W. Line, and B. Petrenko, 2022: Analysis of the physical basis for the overstatement of nighttime marine boundary layer clouds by conventional IR-based techniques and utilization of DNB observations. Oral.
  • Seaman, C., K. Micke, M. Niznik, D. T. Lindsey, S. D. Miller, Y.-J. Noh, N. Tourville, S. Finley, G. Chirokova, J. Dostalek, and D. W. Hillger, 2022: Viewing realtime, global satellite imagery at full resolution with SLIDER. Poster.
  • Smith, D., 2022: Introducing the Satellite Library: A Satellite Imagery Resource for News Media and General Public. Poster.
  • Torres, J., 2022: DNB/NCC Applications: Accessibility in AWIPS and Online. Training Development and User Feedback. Oral.
  • White, C., J. M. Haynes, Y.-J. Noh, I. Ebert-Uphoff, and S. D. Miller, 2022: Neural network-based estimation of cloud vertical structure using spatial and spectral information from VIIRS imagery. Poster.

CIRA CMM Session Chairs:

  • D. Miller: Chair of Session 8B: The Science of the Night-Research and Applications in the Nocturnal Environment via Low-Light Visible Satellite Sensors. (9 August 2022, 4 – 6 pm).
  • Connell: Co-Chair of Session 14B: Training and User Preparation, Part I. (11 August 2022, 10:45–12:00 pm)

AMS Weather Band event on 10 August 2022, 3:30 pm:

  • Line (NESDIS/StAR): Moderator of AMS Weather Band event: GOES-18: NOAA’s Newest Eyes on the West. Speaker: Dan Lindsey (GOES-R Program)

Data Products

The Regional and Mesoscale Meteorology Branch (RAMMB) of NOAA/NESDIS conducts research on the use of satellite data to improve analysis, forecasts and warnings for regional and mesoscale meteorological events. RAMMB is co-located with the Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University in Fort Collins, CO.