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An introduction to McIDAS – the Man-computer Interactive Data Access System (as part of the 21 st Annual CIMSS Summer Workshop on Atmospheric and Earth.

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Presentation on theme: "An introduction to McIDAS – the Man-computer Interactive Data Access System (as part of the 21 st Annual CIMSS Summer Workshop on Atmospheric and Earth."— Presentation transcript:

1 An introduction to McIDAS – the Man-computer Interactive Data Access System (as part of the 21 st Annual CIMSS Summer Workshop on Atmospheric and Earth Sciences – 24 June 2013) 10:45 AM – 12:45 PM - McIDAS/satellite overview (Gary); McIDAS-V training (Jay and Bob). 02:00 PM – 03:45 PM - McIDAS hands-on development of mini-projects, concluding with student presentations of such (w/ mentors: Joleen (+Derrick), Kaba, Will, Bob, and Jay (+Kyle)).

2 Who We Are SSEC (Space Science and Engineering Center) is part of the Graduate School of the University of Wisconsin-Madison (UW). SSEC hosts CIMSS (Cooperative Institute for Meteorological Satellite Studies), including a NOAA/NESDIS (National Oceanic and Atmospheric Administration /National Environmental Satellite, Data, and Information Service) research branch – ASPB (Advanced Satellite Products Branch).

3 What Is McIDAS-V? McIDAS – Man computer Interactive Data Access System Powerful data analysis and 3-D visualization tool McIDAS-V is the fifth generation of McIDAS V stands for 5 (the Roman Numeral V) The first generation of McIDAS began in 1972 Storm cloud temperatures, showing overshooting tops in 2-D from above Satellite composite image overlaid with GFS relative humidity contour cross-section Same overshooting tops, rotated to view from the side

4 Viewing data, developing algorithms, validating results Integration of geophysical data Ease of reprojection Remote and local data access Includes a bridge to McIDAS-X, allowing –X users to continue using legacy code, but to visualize in McIDAS-V McIDAS-X VisAD + IDV + HYDRA = McIDAS-V What Is McIDAS-V?

5 McIDAS Users Group (MUG) members June TIER Group – Seattle, WA Agencia Estatal de Meteorologia (AEMET) – Madrid, Spain Antarctic Meteorological Research Center – Madison, WI Australian Bureau of Meteorology – Melbourne, Australia Aviation Weather Center - Kansas City, MO [NOAA] The Boeing Company – Seattle, WA Comision Nacional de Actividades Espaciales (CONAE) – Buenos Aires, Argentina Comprehensive Large Array-Data Stewardship System (CLASS) – Asheville, NC [NOAA] Energia Logistics Ltd. – Long Beach, CA Environment Canada – Downsview, Ontario Environmental Satellite Processing Center – Suitland, MD [NOAA] European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) – Darmstadt, Germany Harris Corporation – Melbourne, FL Honeywell Aerospace Electronic Systems – Redmond, WA Hong Kong Observatory – Kowloon, Hong Kong ImpactWeather, Inc. – Houston, TX ITOCHU Techno-Solutions Corporation – Tokyo, Japan Johnson Space Center Spaceflight Meteorology Group – Houston, TX Kwajalein Atoll - Atmospheric Technology Services Company – Kwajalein Atoll Masdar Institute of Science and Technology – Abu Dhabi, UAE Mexico National Water Commission – Mexico D.F., Mexico NASA Langley Research Center – Hampton, VA NASA Marshall Space Flight Center – Huntsville, AL National Hurricane Center – Miami, FL [NOAA] National Transportation Safety Board – Washington, DC National Weather Service Pacific Region Headquarters – Honolulu, HI [NOAA] National Weather Service Western Region Headquarters – Salt Lake City, UT [NOAA] Northrop Grumman Information Systems – McLean, VA Range Weather Operations, Cape Canaveral Air Station – Patrick Air Force Base, FL Regional and Mesoscale Meteorology, Cooperative Institute for Research in the Atmosphere – Fort Collins, CO [NOAA] Storm Prediction Center – Norman, OK [NOAA] Telvent DTN – Burnsville, MN Unidata Program Center – Boulder, CO University of Wisconsin - Madison, Space Science & Engineering Center – Madison, WI VisionTech, Inc. – Ibaraki, Japan Weather Central, LP – Madison, WI Weather Decision Technologies, Inc. – Norman, OK Weathernews America, Inc. – Norman, OK WTVT Fox 13 Weather – Tampa, FL

6 On 6 December 1966, the Applications Technology Satellite (ATS-1) was launched. We have had the benefit of the geostationary perspective for over 45 years! ATS-1's spin scan camera (UWs Suomi and Parent 1968) provided full disk visible images of the earth and its cloud cover every 20 minutes. The spin scan camera on ATS-1 occurred because of extraordinary efforts by Verner Suomi and Homer Newell, when the satellite was already well into its fabrication.

7 Verner E. Suomi and Robert J. Parent

8 ATS Nov-18 15:03Z

9 Professor Suomi and McIDAS (Man computer Interactive Data Access System) 1972 – McIDAS2013 – McIDAS-V Including VIS-AD and HYDRA an

10 Water vapor tracked winds from Meteosat during FGGE (the First Global Atmospheric Research Program (GARP) Global Experiment) (15 Nov 1979)

11 1968 WINDCO generates wind vectors from ATS images 1972 First Generation of McIDAS Runs on Harris /5 with 96 KB of programmable memory and 2-5 MB hard drives 1976 GOES ingest system added to McIDAS 1979 Wichita Falls, TX tornado disaster: Congress directs operational McIDAS system to be installed at the NOAA National Severe Storms Forecast Center 1983 People s Republic of China funds port of McIDAS software to IBM mainframe 1985 McIDAS runs on PCs under DOS operating system 1987 McIDAS runs on PCs under OS/2 operating system and McIDAS Users Group is formed 1991 McIDAS runs on UNIX workstations 1994 Satellite and conventional data is served from UNIX workstations, beginning the use of ADDE (Abstract Data Distribution Environment) 1997 McIDAS Users Group sunsets support for mainframe McIDAS History of McIDAS

12 History of McIDAS-V Investigations of a new approach to data analysis and visualization 2007 – Collaboration with Unidata to advance VisAD and IDV as the basis of McIDAS-V 2008 – McIDAS-V becomes an alpha 2009 – January – beta – January – beta – September – V – May – V1.2 (scripting capability demonstrated and promoted) 2013 – June – latest version is V1.3

13 Convection case study: 19 June 2007 MODIS data - define a transect to display radiance measurements

14 CIMSS Cloud Top Pressure

15 Setvak:http://www.convection-wg.org/sandwich.phphttp://www.convection-wg.org/sandwich.php Brunner et al.: Thunderstorm features: over-shooting top and enhanced-V (thermal couplet)

16 AIRS Level 1B window channel image (grey-scale) and moveable 2-D slice of ECMWF-AIRS Single FOV water-vapor retrieval (color-scale). Slice values are re-sampled on the fly from the 3-D difference field and auto-updated as the slice is dragged in space - demonstrating interactive direct manipulation, data integration, and python driven data computation. Advanced Display Capability

17 High spectral data from AIRS (onboard the Aqua satellite) is used to generate the UW Cloud Amount Vertical Profile (CAVP), shown as a 3-D cloud in McIDAS-V.

18 Bringing observations of clouds together: MODIS (passive) and CALIPSO (active)

19 AMV derived wind color scaled by wind speed ; GFS gridded wind field in magenta Under development: interrogation of vertical structure of surrounding reference winds model analysis and/or in-situ obs at location of flagged AMV derived wind.

20 Eastern Hemisphere: Meteosat-8,7 INSAT-3E,C Kalpana Electro-L FY-2D,E COMS-1 MTSAT-1R GOES-14 - Imager - Sounder 105 W (Some) Meteorological Satellites and Instruments (2013) GOES-13 - Imager - Sounder 75 W GOES-12 - Imager - Sounder 60 W GOES-15 - Imager - Sounder 135 W Terra - MODIS 10:30 Aqua - MODIS - AIRS 13:30 Meteosat-10 MSG-2 - SEVIRI 0 E MTSAT-2 Imager 145 E NOAA-18 - AVHRR/3 - HIRS/4 - AMSU - MHS 15:00 NOAA-19 - AVHRR/3 - HIRS/4 - AMSU - MHS 13:30 ~ 36,000 km hrs ~ 850 km min PM AM DMSP F-17 - SSM/IS 05:30 DMSP F-18 - SSM/IS 08:00 Suomi NPP - VIIRS - CrIS - ATMS 13:30 (http://www.wmo.int/pages/prog/sat/satellitestatus.php) Metop-A - AVHRR/3 - HIRS/4 - IASI - AMSU - MHS 09:30 Metop-B - AVHRR/3 - HIRS/4 - IASI - AMSU - MHS 09:30 GEO LEO [ sats-o-day-gsw ppt ]

21 Infrared electromagnetic spectrum of the atmosphere Spectral response functions for the 18 infrared GOES Sounder bands, separated into long, mid, and shortwave sections. Incoming solar radiation peaks in the visible, near 0.5 um (corresponding to a radiative temperature of 5780K for the Suns surface); outgoing terrestrial radiation peaks in the infrared, near 11 um (corresponding to an average earth radiative temperature of 255K). [ from Weins Law] Various gaseous constituents effect the amount of absorption at the different wavelengths.

22 All spectral bands of the GOES Sounder ( GOES-13 (East) at 15:46 UTC on 23 June 2013 )

23 Looking at real-time GOES Sounder data… 1.Look at all spectral bands 2.Look at a Sounder product cimss.ssec.wisc.edu/goes/rt/exp-work.php [This workshop PowerPoint is available at --

24 Atmospheric soundings from geostationary orbit Below is total precipitable water (TPW) derived from the Sounder on GOES-13 at 12 UTC on 23Jun As a cold front drops across the N Hi Plains bringing drier air, the E and rest of the central US stay under very moist air (previously advected from the Gulf of Mexico region) as a warm front moves up across the Great Lakes. Smooth GOES retrievals (profiles) are similar to near-by radiosonde profiles. [ ]http://cimss.ssec.wisc.edu/goes/realtime/eus/begin-eus.html

25 Sift and Winnow – a Wisconsin idea

26 Extra slides

27 Who We Are – SSEC Scientists - examining the Earth from satellites to gain insight into weather and climate Modelers - developing diagnostic and forecast models to explain the weather and climate Engineers - developing new observing tools for spacecraft, aircraft, and ground-based platforms Data Center – real-time satellite imagery from 16 satellites and managing online archive of 1 Petabyte (back to 1978) Software developers - creating tools to visualize and manipulate data for use by researchers and operational meteorologists

28 What Is McIDAS-V? Uses an extensible framework - Built a framework on top for adapting new sources of data (format and type; local or remote), for updating user interface components, and for creating novel displays and analysis techniques Developed in the Java programming language – object oriented; write once - run anywhere (very portable) Persistence mechanism (bundles) for saving and sharing interesting displays/analysis with other McIDAS-V users Python based user defined computation for scripting Java-based, open-source, and freely available

29 IBM Mainframe History of McIDAS Mainframe Communication

30 NOAAPORT Signal Clients Servers History of McIDAS ADDE Client-Server Communication (Abstract Data Distribution Environment)

31 Fundamental CIMSS research: striving to make quality real-time GOES Sounder radiance observations into practical useful information for weather forecasting Atmospheric continuity and evolution are clearly evident in multi-spectral animation. Where will clouds be? Comparison between observed imagery (bottom) and forecast imagery (top) builds confidence in how well the CRAS model is assimilating retrieved GOES Sounder cloud and moisture information. Where will forecast (GFS) moisture need to be modified, monitoring trends, to provide a better forecast for convection (as across Texas)? Differences between retrieved GOES Sounder TPW and the GFS forecast values are plotted over the GOES TPW Derived Product Imagery (DPI). [1800 UT 2 Apr 2004]

32 Atmospheric soundings from geostationary orbit Below is total precipitable water (TPW) derived from the Sounder on GOES-13 at 12 UTC on 21 Jun As a cold front moves across GrtLks and Cen Plns, dry air fills in across N Plns as moist air (previously advected from the Gulf of Mexico region) remains over most of rest of E US. Smooth GOES retrievals (profiles) are similar to near-by radiosonde profiles. [ ]http://cimss.ssec.wisc.edu/goes/realtime/eus/begin-eus.html

33 The setting for 23 June Z/300 win sfc TD/850 win

34 Davenport (IA) radiosonde from 12 UT 23-Jun-2013 (with sfc parcel of 86F (69F TD) at 17 UT)


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