University of Wisconsin- Madison: Supporting Global Direct Broadcast Applications

Transcription

1 University of Wisconsin- Madison: Supporting Global Direct Broadcast Applications Kathleen Strabala, Liam Gumley, Allen Huang UW-Madison, Space Science and Engineering Center (SSEC)

2 Lots of Others James Davies, Brad Pierce, Elisabeth Weisz, Eva Borbas, William Straka, Scott Mindock, Ray Garcia, Graeme Martin, Nadia Smith, Rebecca Cintineo, Dave Hoese, Eva Schiffer, Katja Hungershöfer, Jeff Key, Jordan Gerth, Scott Bachmeieir, Mike Pavolonis, Crystal Schaaf, Yanmin Shuai, Peter Albert, Kris Bedka, Nigel Atkinson, Denis Denis Margetic, Tom Heinrichs, Dayne Broderson, Peter (Kung-Hwa) Wang, Aniko Kern, Christelle Ponsard, Philip Frost, Riris Adriyanto, Wei Gao, Jerrold Robaidek, Rosie Spangler UW SSEC NOAA/STAR University of Massachusetts Boston NASA Goddard Space Flight Center Instituted für Weltraumwissenschaften, Freie Universität, Berlin, Germany German Weather Service (DWD) Katja Hungershöfer NASA Langley UK Met Office Taiwan Central Weather Bureau, Taipei Australian Bureau of Meteorology Eötvös Loránd University, Budapest, Hungary East China Normal University, Shanghai, China GINA Alaska EUMETSAT BMKG, Indonesian Agency for Meteorology, Climatology and Geophysics CSIR South Africa

3 History of Direct Broadcast Support More than 25 years of experience IAPP (International TOVS Processing Package) since 1985 ITPP (International ATOVS Processing Package) since 1998 Acquisition of TeraScan 4.4 m Dish in 2000 NASA IMAPP (International MODIS/AIRS Processing Package) since 2000 NOAA CSPP (Community Satellite Processing Package) 2011 The goal is to allow DB users the capability to create their own local products for local applications

4 EOS Direct Broadcast Groundstation TeraScan SX-EOS 4.4 m antenna: First data acquired 2000/08/18 Overpass prediction 2000/10/13

5 IMAPP Funded by NASA since freely distributed software for Aqua and Terra 48 software packages released in 11 years More than 1300 users from 67 different countries 10 direct broadcast workshops held on 5 continents Last one was sponsored by WMO in Indonesia Oct MODIS related software packages 4 AIRS related software packages 4 AMSR-E software packages

6 IMAPP Users More than 1300 people have downloaded some part of the IMAPP suite of products representing 67 different countries and all 7 continents

7 IMAPP Product Suite MODIS Atmosphere Products Cloud Mask Cloud Top Properties, Cloud Optical Properties Temperature and Moisture Profiles, TPW Aerosol Optical Depth MODIS Polar Products Ice Surface Temperature Snow Mask Ice Cover and Ice Concentration Inversion Strength and Inversion Depth MODIS Land Products Land Surface Reflectance Nadir BRDF-adjusted Reflectance (NBAR) Image Products True Color GeoTIFF and KML Utility Software Infrared Band De-striping AIRS HDF to BUFR Conversion Virtual Appliance - Direct Broadcast Processing System Runs all L2 Algorithms AIRS and AMSU Products (Aqua) Calibrated and Geolocated Radiances (AIRS) Calibrated and Geolocated Antenna Temperatures (AMSU) AIRS and AMSU Atmosphere Products JPL 3x3 Temperature and Moisture Profiles Single AIRS FOV Temperature and Moisture Profiles Collocated AIRS/MODIS Temperature and Moisture Profiles AMSR-E Products (Aqua) Calibrated and Geolocated Antenna Temperatures AMSR-E Atmosphere Products Rain Rate AMSR-E Surface Products Soil Moisture and Snow Water Equivalent Numerical Weather Prediction Products DBCRAS regional model 72 and 48 hour forecast Air Quality Forecast Product Provides 48 hour Forecast of Aerosols Trajectories

8 IMAPP What s New? Air Quality Forecast Package Infusing Satellite Data Into Environmental Applications-International (IDEA-I) Uses MODIS Aerosol Optical Depth Product to Identify Regions of Pollution Runs 48 Hour Trajectory Model to show vertical and horizontal movement of aerosols Globally Configurable Includes PHP for web display

9 North America Domain

10 South Africa Domain

11 Is This Really Useful? NW US Domain Set up after request from air quality forecasters in Idaho October 1, 2012 This new domain is quite useful. I ve just shared this with the NW-AIRQUEST listserv which comprises air quality scientists from state agencies and EPA in Idaho, Washington, Oregon, and British Columbia. I ve directed any feedback on the model and web interface to be sent to you. Washington and Oregon will probably latch onto it quickly, since they are the source of the smoke at the moment. Thanks again for your help. Sara M. Strachan, PhD Idaho Dept. of Environmental Quality

12

13 New Aviation Product Overshooting Top (OT) Location Uses IR Window Brightness Temperatures to find OTs in MODIS L1B data Why is this important? OTs are often associated with atmospheric turbulence, intense lightning and severe weather happening at the surface Based upon: K.M. Bedka, J.C. Brunner, R. Dworak, W.F. Feltz, J. Otkin, T. Greenwald, 2010: Objective satellitebased overshooting top detection using infrared window channel brightness temperature gradient. J. Appl. Meteorol. Climatol., 49, pp

14 Overshooting Tops Output product is NetCDF file containing locations of overshooting tops as well as product images: Overshooting Top Locations Turbulence Risk Lightning Risk All are displayed on a map with the domain based upon the limits of the processed granule, or a domain determined by the user Image software is Python based

15 Turbulence Risk According to the study by Bedka et al (JAM), with the presence of an overshooting top there is a 25% or greater chance of experiencing turbulence within 25 km of the overshooting top center. This relationship is shown on this image with each yellow region representing the area within a 25 km radius of the respective overshooting top center.

16 Lightning Risk According to the study by Bedka et al (JAM), with the presence of an overshooting top, there is a 35% chance or greater, 50% chance or greater, 65% chance or greater, or 70% chance or greater of experiencing CG lightning within 10 km of the overshooting top center depending on the brightness temperature of the overshooting top, respectively. The colder the overshooting top brightness temperature is, the greater the chance of CG lightning. These relationships are shown on this image with each colored region identifying the area within a 10 km radius of the overshooting top center.

17 CSPP

18 Suomi NPP Launch 11 October :38 am Vandenberg Air Force Base, CA

19 Suomi NPP Payload

20 Community Satellite Processing Package (CSPP) Funded by NOAA Program Scientist Mitch Goldberg since Intent is to support the DB users of environmental and meteorological satellites through the distribution of open source science software. This means not just Polar Orbiter Satellites! Current package supports Suomi NPP Instruments VIIRS, ATMS, CrIS calibration and geolocation software (RDRs to SDRs) Based on the Algorithm Development Library (ADL) software developed by Raytheon for the JPSS Project. ADL allows the operational processing algorithms for Suomi NPP to run without modification in a Linux environment. The output files created by this software are identical in naming, format (HDF5), and structure to the corresponding files from the NOAA/NESDIS CLASS archive UW CrIS single FOV Atmospheric Temperature, Moisture and Cloud retrieval package

21 CSPP

22 Who is Using CSPP? (That we know of) EUMETSAT for EARS- VIIRS EUMETCast distribution UK Met Office Météo-France CSIR South Africa Swedish Met Service DWD German Met Service SeaSpace China National Satellite Meteorological Center Brazil INPE Danish Meteorological Institute Japanese Meteorological Agency Norwegian Meteorological Institute

23 CSPP Users More than 100 people have downloaded some part of the CSPP suite of products representing 26 different countries and 6 continents

24 What s new in V1.2 Released October 5 The Community Satellite Processing Package (CSPP) VIIRS, ATMS, and CrIS SDR v1.2 software for Suomi NPP is now available. New features in this version include: Calibration lookup tables can be updated via Internet download, Multiple SDR granule files can be aggregated by product type (e.g., SVM15) into one file per direct broadcast overpass, SDR files can be compressed using transparent HDF5 internal gzip compression, Quicklook images can be created from VIIRS, ATMS, and CrIS SDR files, Internal ADL software version has been updated from v3.1 to v4.0.

25 VIIRS M-Band micron Brightness Temperatures

26 VIIRS M-Band 7.86 micron Reflectances

27 ATMS Band 1 Brightness Temperatures

28 CrIS Shortwave Brightness Temperatures

29 Suomi NPP Applications

30 MODIS products in AWIPS

31 Utility of Polar Orbiter Products to Forecasters Well Documented

32 How Will NPP/JPSS VIIRS Be Useful to Forecasters? Polar orbiter MODIS data and products already prove to be useful to forecasters in AK and CONUS in a huge variety of applications - Marine interests to fog formation to post storm analysis to forecasting water spouts to snow melt and flooding forecasts High quality data, well calibrated and geolocated Higher spatial resolution consistent to edge of scan New Day/Night band Visible data at night! Available from Direct Broadcast means timely delivery of products AK, Hawaii, and CONUS (UW) now acquiring processing and feeding data for display in AWIPS to WFOs as part of JPSS proving ground Complements Geostationary data and products (high spatial versus high temporal) and prepares forecasters for the spectral bands that will be on GEO in the future

33 Strengths NPP/JPSS VIIRS Strengths and Weaknesses (Compared to MODIS) Consistent spatial resolution to end of scan (growth about 2x) Larger swath width (3000 km versus 2300 km) New Day/Night Band! Weaknesses No Water Vapor Band (no IR absorption bands at all) Currently, only one VIIRS instrument Temporal coverage means about 1 look during the day and 1 at night

34 VIIRS about 2x increase by edge of scan

35 NPP/JPSS VIIRS vs MODIS Swath Comparison NPP VIIRS IR Window 11 µm Aqua MODIS IR Window 11 µm SSEC/CIMSS 3000 km Swath Width SSEC/CIMSS 2300 km Swath Width

36 VIIRS/MODIS Resolution Comparison 3 April 2012 NPP VIIRS IR Window Aqua MODIS IR Window SSEC/CIMSS SSEC/CIMSS

37 DFW storms (4/3/2012) MODIS IR AWIPS SSEC/CIMSS

38 DFW storms (4/3/2012) NPP VIIRS IR AWIPS SSEC/CIMSS

39 DFW storms (4/3/2012) Preliminary report website Screen shot of preliminary storm reports (courtesy NWS)

40 Suomi NPP/JPSS VIIRS Day/Night Band Visible Band available at night! What can now be seen at night? Cities Smoke, Dust, Ash Low Clouds/Fog Fires, Volcanoes (Lava) Auroras Lightning Cloud top features due to moon shadows How much can be seen depends on: Illumination Phase of moon Stray light region

41 A few examples

42 VIIRS IR Window (11 micron) 11:21 UTC 2 October 2012

43 VIIRS Day/Night Band 11:21 UTC 2 October 2012

44 VIIRS Fog Detection Capability 08:04 UTC 6 June 2012

45 VIIRS Fog Detection Capability 08:04 UTC 6 June 2012

46 VIIRS Fog Detection Capability GOES post sunrise animation

47 Identifying Maritime Stratus Intrusion at Night 31 July 2012

48 VIIRS Fog Detection Capability 09:33 UTC 2 October 2012

49 VIIRS in AWIPS Day/Night Band Smoke Detection 8 April 2012 Smoke SSEC/CIMSS Full moon makes means easy to identify clouds and even smoke

50 VIIRS in AWIPS Day/Night Band Smoke Detection 8 April 2012 Smoke from County Line Fire in northern Florida SSEC/CIMSS

51 Terra MODIS 8 April :15 UTC

52 NPP/JPSS VIIRS in AWIPS Fire Detection Capability 15 May 2012

53 VIIRS in AWIPS Fire Detection Capability 15 May 2012 Bull Flat Fire Sunflower Fire SSEC/CIMSS

54 VIIRS in AWIPS Fire Detection Capability 15 May 2012 Phoenix Bull Flat Sunflower Fire Fire SSEC/CIMSS

55 CSPP Coming Soon Working on ways to improve speed of SDR software execution VIIRS EDRs including Cloud Mask, Active Fires and Aerosol products Single FOV atmospheric profile software for CrIS, IASI and AIRS. Same science software for 3 instruments dual regression technique Polar2Grid software package for reprojecting and and scaling data for display in AWIPS. Working on a GeoTIFF backend in response to GINA request, and NinJo backend for Met Offices in Canada, Europe and South Africa AVHRR (POES and MetOp) Cloud and Land Surface Retrievals (CLAVR-x and PATMOS-x)

56 Conclusions UW has been supporting the direct broadcast community for more than 25 years. We hope to continue supporting the community for another 25 years! So tell us how we can support you. Thanks to NASA and NOAA for funding these efforts!