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ASPB and CIMSS Highlights May - September 2009

ASPB and CIMSS Highlights May - September 2009. CoRP All-Hands Meeting October 5, 2009. ASPB and CIMSS Highlights May - September 2009. CoRP All-Hands Meeting October 5, 2009. Administrative Highlights.

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ASPB and CIMSS Highlights May - September 2009

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  1. ASPB and CIMSS HighlightsMay - September 2009 CoRP All-Hands MeetingOctober 5, 2009

  2. ASPB and CIMSS HighlightsMay - September 2009 CoRP All-Hands MeetingOctober 5, 2009

  3. Administrative Highlights Important Meetings (non-conference)Tiksi Atmospheric Observatory Science Team Meeting, Boulder, May (Key)CalNex Meeting with Western Regional Air Partnership, Boulder, June (Pierce)GOES-R Volcanic Ash and Imagery TRRs, June (Pavolonis, Schmit)OAR-NESDIS Workshop on Joint Field Campaigns, Silver Spring, June (Pierce)AWG Annual Meeting, College Park, MD, August (Heidinger, Key, Pavolonis, Pierce, Schmit)Second Workshop on Satellite Imaging of the Arctic, Montreal, September (Key) ConferencesAMS Polar Meteorology and Oceanography, Madison, MayEUMETSAT Conference, Bath, England, September

  4. Administrative Highlights, cont. Awards and RecognitionNASA Group Achievement Award for outstanding accomplishments in the successful Arctic Research of the Composition of the Troposphere with Aircraft and Satellites (ARCTAS) mission in Alaska and Canada. (Pierce)NOAA Administrator’s Award for scientific leadership and excellence in support of domestic and international polar observing activities during the International Polar Year (Key with Clemente-Colón)TrainingMany VISITView training sessions with NWS offices. See ASPB/CIMSS Weekly Report archive. (http://stratus.ssec.wisc.edu/aspb/weeklies).

  5. Administrative Highlights, cont. VisitorsTwo CREST graduate students visited ASPB/CIMSS for one week in August. (Heidinger, Pierce)OtherThe U.S. Navy's Fleet Numerical Meteorology and Oceanography Center began using direct readout AVHRR winds from Rothera, Antarctica and NOAA-19 GAC winds.

  6. Administrative Highlights, cont. • Publications • (Since last CoRP All-Hands meeting, or not previously reported) • Li, Z., J. Li, P. Menzel, J.P. Nelson, T. Schmit, E. Weisz, and S. Ackerman, 2009, Forecasting and nowcasting improvement in cloudy regions with high temporal GOES sounder infrared radiance measurements, J. Geophys. Res., 114, D09216, doi:10.1029/2008JD010596. • Pierce, R. B., J. Al-Saadi, C. Kittaka, T. Schaack, A. Lenzen, K. Bowman, J. Szykman, A. Soja, T. Ryerson, A. M. Thompson, P. Bhartia, G. A. Morris, Impacts of background ozone production on Houston and Dallas, TX Air Quality during the TexAQS field mission, J. Geophys. Res., 114, D00F09, doi:10.1029/2008JD011337. • Liu, H., J.H. Crawford, D. B. Considine, S. Platnick, P. M. Norris, B. N. Duncan, R. B. Pierce, G. Chen, and R. M. Yantosca, 2009, Sensitivity of photolysis frequencies and key tropospheric oxidants in a global model to cloud vertical distributions and optical properties, J. Geophys. Res., 114, D10305, doi:10.1029/2008JD011503. • Sieglaff, J., T. Schmit, W.P. Menzel, S. Ackerman, 2009, Inferring Convective Weather Characteristics with Geostationary High Spectral Resolution IR (infrared) Window Measurements: A Look into the Future, J. Atmos. Ocean. Tech., 26(8), 1527–1541, DOI: 10.1175/2009JTECHA1210.1. • Heidinger, Andrew K. and Pavolonis, Michael J. Gazing at cirrus clouds for 25 years through a split window, part 1: Methodology. Journal of Applied Meteorology and Climatology, Volume 48, Issue 6, 2009, pp.110-1116. • Evan, Amato T.; Vimont, Daniel J.; Heidinger, Andrew K.; Kossin, James P. and Bennartz, Ralf. The role of aerosols in the evolution of tropical North Atlantic Ocean temperature anomalies. Science, Volume 324, Issue 5928, 2009, pp.778-781. • Vidot, Jerome; Bennartz, Ralf; O'Dell, Christopher W.; Preusker, Rene; Lindstrot, Rasmus and Heidinger, Andrew K. CO2 retrieval over clouds from the OCO Mission: Model simulations and error analysis. Journal of Atmospheric and Oceanic Technology, Volume 26, Issue 6, 2009, pp.1090-1104. • Foster, M.J., S. A. Ackerman, R. Bennartz, A. K. Heidinger, B.C. Maddux and W. B. Rossow (2009) Cloudiness, State of the Climate in 2008, Horvitz, A., ed., Bull. Am. Meteorol. Soc., 90 (8), pp. S29-S30. • Al-Saadi, J. A., A. Soja, R. B. Pierce, J. J. Szykman, C. Wiedinmyer, L. Emmons, S. Kondragunta, X. Zhang, C. Kittaka, T. Schaack, K. Bowman, Evaluation of Near-Real-Time Biomass Burning Emissions Estimates Constrained by Satellite Active Fire Detections, Journal of Applied Remote Sensing, January 2008.

  7. Administrative Highlights, cont. • Publications, cont. • Fairlie, T. D., J. Szykman, A. Gilliland, R. B. Pierce, C. Kittaka, S. Weber, Jill Engel-Cox, Raymond R. Rogers, Joe Tikvart, Rich Scheffe, Fred Dimmick, Lagrangian sampling of 3-D air quality model results for regional transport contributions to sulfate aerosol concentrations at Baltimore, MD, in summer 2004, Atmospheric Environment 43 3275–3288, 2009, doi:10.1016/j.atmosenv.2009.02.026. • Liu, H., J. H. Crawford, D. B. Considine, S. Platnick, P. M. Norris, B. N. Duncan, R. B. Pierce, G. Chen, and R. M. Yantosca (2009), Sensitivity of photolysis frequencies and key tropospheric oxidants in a global model to cloud vertical distributions and optical properties, J. Geophys. Res., 114, D10305, doi:10.1029/2008JD011503. • Parrish, D. D., D. T. Allen, T. S. Bates, M. Estes, F. C. Fehsenfeld, G. Feingold, R. Ferrare, R. M. Hardesty, J. F. Meagher, J. W. Nielsen-Gammon, R. B. Pierce, T. B. Ryerson, J. H. Seinfeld, and E. J. Williams (2009), Overview of the Second Texas Air Quality Study (TexAQS II) and the Gulf of Mexico Atmospheric Composition and Climate Study (GoMACCS), J. Geophys. Res., 114, D00F13, doi:10.1029/2009JD011842. • Soja, A. J., J Al-Saadi, L. Giglio, D. Randall, C. Kittaka, G. Pouliot, J. J. Kordzi, S. Raffuse, T. G. Pace, T. E. Pierce, T. Moore, B. Roy, R. B. Pierce and J. J. Szykman, Assessing satellite-based fire data for use in the National Emissions Inventory, Journal of Applied Remote Sensing, Vol. 3, 031504, May 2009, DOI: 10.1117/1.3148859. • Verma S., J. Worden, B. Pierce, D. B. A. Jones, J. Al-Saadi, F. Boersma, K. Bowman, A. Eldering, B. Fisher, L. Jourdain, S. Kulawik, H. Worden (2008), Ozone production in boreal fire smoke plumes using observations from the Tropospheric Emission Spectrometer and the Ozone Monitoring Instrument, J. Geophys. Res., 114, D02303, doi:10.1029/2008JD010108. • Youhua Tang, P. Lee, M. Tsidulko, H.-C. Huang, J. T. McQueen, G. J. DiMego, L. K. Emmons, R. B. Pierce, A. M. Thompson, H.-M. Lin, D. Kang, D. Tong, S. Yu, R. Mathur, J. E. Pleim, T. L. Otte, G. Pouliot, J. O. Young, K. L. Schere, P. M. Davidson and I. Stajner (2009), The impact of chemical lateral boundary conditions on CMAQ predictions of tropospheric ozone over the continental United States, Environmental Fluid Mechanics, Volume 9, Number 1 / February, 2009, DOI: 0.1007/s10652-008-9092-5. • Gunshor, Mathew M.; Schmit, Timothy J.; Menzel, W. Paul and Tobin, David C., 2009: Intercalibration of broadband geostationary imagers using AIRS. Journal of Atmospheric and Oceanic Technology, 26, 4, pp.746-758. • Hillger, Donald W. and Schmit, Timothy J., 2009: The GOES-13 science test: A synopsis. Bulletin of the American Meteorological Society, Volume 90, Issue 5, 2009, pp.592-597.

  8. Ash Height Ash Loading False Color Image Ash Delivery of 80% GOES-R Volcanic Ash ATBD M • This is the first ever GEO requirement for quantitative volcanic ash products in NESDIS. • An example of the volcanic ash products is shown below using SEVIRI. The GOES-R Volcanic Ash products will provide forecasters and modelers with the information they need to track ash clouds, which are a major aviation, health, and infrastructure hazard. Michael Pavolonis

  9. Delivery of 80% GOES-R AWG Cloud ATBD’s M • On June 29, 2009, the Cloud Application Team had a milestone of delivering the 80% Algorithm Theoretical Basis Documents (ATBD) to the GOES-R AWG Program Office. • The cloud team is responsible for 13 products which are described in 5 ATBDs. • STAR personnel involved are Andrew Heidinger and Michael Pavolonis. • Images on the right demonstrate a cloud team product • (cloud type) with a false color image for • reference. • Status: All 4 cloud ATBDs authored by STAR personnel were delivered on time. The only cloud team ATBD not delivered on time was the nighttime properties ATBD authored by Patrick Minnis of NASA Langley. It is expected to be delivered before July 20. The GOES-R AWG Cloud Algorithms represent an implementation of state-of-the-art remote sensing science coupled with proven methodologies to provide NESDIS customers with the information on cloudiness they need.

  10. Implementation of an Improved GOES Sounder Vertical Profile Retrieval Algorithm M Many instabilities too extreme • The current GOES Sounder retrieval product suite (which is provided to the NWS AWIPS) uses the algorithm from: Ma X. L., T. J. Schmit, and W. L. Smith, 1999: A nonlinear physical retrieval algorithm—Its application to the GOES-8/9 sounder. J. Appl. Meteor, 38, 501–513. • An improved algorithm has been implemented on the Man-computer Interactive Data Access System (McIDAS) at the Cooperative Institute for Meteorological Satellite Studies (CIMSS): Li, Z., J. Li, W. P. Menzel, T. J. Schmit, J. P Nelson III, J. Daniels, and S. A. Ackerman (2008), GOES Sounding improvement and applications to severe storm nowcasting, Geophys. Res. Lett., 35, L03806, doi10.1029/2007GL032797 • The Li-based physical algorithm is helped by a regression-derived first-guess; improved surface emissivity determination; a true error covariance matrix; improved radiance bias calculations; inverted cone filtering; and, a better transmittance model. This development has been supported with GIMPAP funding. Ma(1999) version Li(2008) version GOES Sounder Lifted Index (stability) – 2146 UTC 13 May 2009 Ma(1999) Li(2008) Better moist fit GOES retrievals (blue) vs radiosonde (red) at Norman, OK at 0000 UTC 14 May 2009 The first substantial upgrade to the GOES Sounder retrieval algorithm, in over 10 years, shows promising reduction to unrealistic extremes often found with the previous version. Next spring (2010), the intent is to provide these new retrieved GOES products to the SPC Hazardous Weather Test Bed, for their assessment, via the GOES-R Proving Ground effort. {Courtesy of G.S. Wade 2009-06-03}

  11. Regional Assimilation of SEVIRI Total Column Ozone This project uses the WRF-CHEM regional chemical model coupled to the Real-time Air Quality Model (RAQMS) global chemical analyses to evaluate the impacts of GOES-R ABI-like Total Column Ozone (TCO) retrievals on Air Quality (AQ) forecasts. Spinning Enhanced Visible and Infrared Imager (SEVIRI) measurements are used as ABI proxy data. The RAQMS lightning NOx parameterization has been incorporated into WRF-CHEM for SEVIRI Total Column ozone assimilation studies. Addition of lightning NOx removes 200mb low bias in NO2 resulting in significant increases in upper tropospheric ozone which reduce the low bias in the assimilated ozone compared to Shadows ozonesonde measurements. August 2006 Flash Rate from NASA Lightning Imaging Sensor (LIS) WRF-CHEM/ozonesonde comparison without SDF SEVIRI assimilation and no lightning NOx (left) and with SDF Bias corrected SEVIRI ozone assimilation and lightning NOx (right).

  12. AEROSOL PROXY DATA SIMULATIONS The main focus of this effort is to augment the current GOES-R AWG WRF ABI proxy data capabilities with proxy data sets for aerosols and ozone over the continental US (CONUS) and Africa. Nested RAQMS/WRF-CHEM aerosol and ozone proxy data sets are used to construct simulated radiances using the NOAA Community Radiative Transfer Model (CRTM). 'Beta' versions of the August 24-25, 2006 WRF-CHEM GOES Re-Broadcast (GRB) proxy data sets have been completed and delivered to the imagery team and AIT. The GRB files contain visible reflectances, IR radiances, and IR brightness temperatures in scaled integers. Validation of the scaled integer data sets is currently underway. McIDAS-V visualization of WRF-CHEM GRB scaled integer (left), validation (center), and GOES 12 (right) 0.64 micron reflectance at 17Z on August 24th, 2006

  13. GOES Sounder Nearcasts of Convective Destabilization In AWIPS GOES sounder nearcast products are now available in AWIPS in real-time. An AWIPS display of precipitable water lapse rate is shown. Significance: Nearcasting severe weather up to 6 hours in advance fills the gap between nowcasting observations and numerical weather prediction. It supports NOAA’s Weather and Water mission goal.

  14. CIMSS Regional Assimilation System for the IMAPP Direct Broadcast Package (DBCRAS) A Portable Mesoscale Prediction System for MODIS Direct Broadcast Sites DBCRAS is a complete numerical weather prediction (NWP) package designed to assimilate products generated by the International MODIS/AIRS Processing Package (IMAPP). DBCRAS can be installed on a Linux PC anywhere in the world bringing NWP and satellite data assimilation capability to remote locations. It now includes a 16 km nest that can be placed anywhere within the 48 km DBCRAS domain. MODIS View Wisconsin DBCRAS at http://cimss.ssec.wisc.edu/model/realtime/cras48_WI/daily.html ▲ North Pole Current DBCRAS Sites Tromso ▲ ▲ Anchorage, AK ▲ ▲ ▲ London Budapest Kazakhstan ▲ ▲ Madison Istanbul Beijing ▲ ▲ ▲ Honolulu Taiwan ▲ Pretoria ▲ ▲ Sao Paolo Perth ▲ Real time Tested ▲ South Pole ▲ DBCRAS Team: Robert Aune, Kathy Strabala, Scott Lindstrom, Allen Huang

  15. “What if” noise simulations, ABI 0.6 um visible band 1000:1 at 100% (square-root enhancement)

  16. 300:1 at 100% (square-root enhancement)

  17. Development of a WMO Global Cryosphere Watch M • In May 2007, the World Meteorological Organization (WMO) approved the concept of a Global Cryosphere Watch, analogous to the Global Atmosphere Watch. GCW will contribute to the Global Earth Observation Systems of Systems (GEOSS). • STAR is playing a leading role in the development of GCW. STAR led the Integrated Global Observing Strategy (IGOS) Cryosphere Theme, out of which GCW grew. STAR also has a member on the GCW Expert Team. • Status: The first GCW Expert Team meeting was held in December 2008 (Geneva). Plans are being developed for GCW pilot studies. A scoping document was just completed and will be presented to WMO in June 2009. GCW will provide coordinated observations, monitoring, assessment, and prediction of the cryosphere. It will improve the use of cryosphere products in weather and climate models. The cryosphere exists in approximately 100 countries. (Courtesy of Jeff Key)

  18. AVHRR HRPT Winds at Rothera, Antarctica Winds are now being generated from Advanced Very High Resolution Radiometer (AVHRR) data collected at the United Kingdom's High Resolution Picture Transmission (HRPT) receiving station in Rothera, Antarctica. The first winds were generated on May 1, 2009. Rothera is on the Antarctic Peninusula and therefore provides excellent coverage of western Antarctica, complementing the direct broadcast Moderate Resolution Imaging Spectroradiometer (MODIS) winds generated at McMurdo. All processing is done on-site at Rothera.

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