McIDAS-X Software Development and Demonstration Dave Santek and Jay Heinzelman 2 June 2009 PDA Animated Weather (PAW) Status by Russ Dengel.

Slides:

Advertisements

Similar presentations

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 A Cloud Object Based Volcanic.

Advertisements

SPoRT Products in Support of the GOES-R Proving Ground and NWS Forecast Operations Andrew Molthan NASA Short-term Prediction Research and Transition (SPoRT)

SPoRT Activities in Support of the GOES-R and JPSS Proving Grounds Andrew L. Molthan, Kevin K. Fuell, and Geoffrey T. Stano NASA Short-term Prediction.

Community Satellite Processing Package NOAA Satellite Conference, 8-12 April 2013 Liam Gumley CIMSS/SSEC, UW-Madison Hurricane Sandy 2012/10/28 06:25 UTC.

Satellite based estimates of surface visibility for state haze rule implementation planning Air Quality Applied Sciences Team 6th Semi-Annual Meeting (Jan.

McIDAS-Lite Dave Santek Program Manager Space Science & Engineering Center University of Wisconsin-Madison 5 December 2002.

Application of Multispectral Data to Space Shuttle Landing Operations Doris Hood, Tim Garner, Timothy Oram NWS/ Spaceflight Meteorology Group STS-120 Launch.

1 GOES Users’ Conference October 1, 2002 GOES Users’ Conference October 1, 2002 John (Jack) J. Kelly, Jr. National Weather Service Infusion of Satellite.

McIDAS-V McIDAS-V The 5 th Generation of McIDAS by Tom Whittaker Space Science and Engineering Center University of Wisconsin-Madison USA with contributions.

McIDAS-V Support for the GOES-R Program William Straka 1, Tom Rink 1, Tom Achtor 1, Tim Schmit 2, Kaba Bah 1, Joleen Feltz 1 1 CIMSS/SSEC, University of.

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 NOAA Operational Geostationary Sea Surface Temperature Products from NOAA.

SDI (Satellite Data Ingestor) 2015 McIDAS Users Group Meeting June 8, 2015.

GOES-R Synthetic Imagery over Alaska Dan Lindsey NOAA/NESDIS, SaTellite Applications and Research (STAR) Regional And Mesoscale Meteorology Branch (RAMMB)

Utilization of a Web Map Service and Mobile Device technology by SSEC Preliminary development and future needs. Developed and presented by: Dave Parker,

McIDAS-X Software Development and Demonstration Dave Santek and Jay Heinzelman 16 October 2007.

McIDAS Advisory Committee (MAC) Sponsored: Group Discussion Joleen Feltz McIDAS Advisory Committee Chair from Cooperative Institute for Meteorological.

Transitioning unique NASA data and research technologies to operations MODIS-GOES Hybrid Sixth Meeting of the Science Advisory Committee 28 February -

UNCLASSIFIED Navy Applications of GOES-R Richard Crout, PhD Naval Meteorology and Oceanography Command Satellite Programs Presented to 3rd GOES-R Conference.

Japan Meteorological Agency, November, 2012 Coordination Group for Meteorological Satellites - CGMS Status Report on the Current and Future Satellite Systems.

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 GOES Solar Radiation Products in Support of Renewable Energy Istvan Laszlo.

Sauli Joro NWC SAF 2010 Users’ Workshop April 2010, Madrid, Spain Sauli Joro, EUMETSAT NWC SAF 2010 Users’ Workshop April 2010, Madrid, Spain.

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Current Status  Framework is in place and algorithms are being integrated.

1 GOES-R AWG Product Validation Tool Development Aviation Application Team – Volcanic Ash Mike Pavolonis (STAR)

1 GOES-R AWG Product Validation Tool Development Aviation Application Team – Volcanic Ash Mike Pavolonis (STAR)

GOES-R ABI Synthetic Imagery at 3.9 and 2.25 µm 24Feb2015 Poster 2 Louie Grasso, Yoo-Jeong Noh CIRA/Colorado State University, Fort Collins, CO

USING OF METEOSAT SECOND GENERATION HIGH RESOLUTION VISIBLE DATA FOR THE IMPOVEMENT OF THE RAPID DEVELOPPING THUNDERSTORM PRODUCT Oleksiy Kryvobok Ukrainian.

Earth-Sun System Division National Aeronautics and Space Administration SPoRT SAC Nov 21-22, 2005 SPoRT Extensions to Coastal WFOs EOS Data and Products.

1 GOES-R Air Quality Proving Ground Leads: UAH UMBC NESDIS/STAR.

McIDAS-X Software Development and Demonstration Dave Santek and Jay Heinzelman 8 June 2015.

Environmental Monitoring of The Great Lakes Using CoastWatch Data and Java GIS RDX06 – Remote Sensing Across The Great Lakes: Observations, Monitoring,

The Next Generation McIDAS A Look Towards the Future 21 st IIPS 8.2 San Diego, CA - 11 January 2005 Dave Santek Tom Whittaker Thomas Achtor Space Science.

2015 OCONUS Meeting Non Export-Controlled Information Progress in Development and Integration of the Product Generation Capabilities of the GOES-R Ground.

The GOES-10 Overview UW-Madison Tim Schmit and Gary Wade Research Satellite Meteorologist NOAA/NESDIS/ORA(STAR) Advanced Satellite Products Branch (ASPB)

Cooperative Institute for Meteorological Satellite Studies University of Wisconsin - Madison ABI and AIRS Retrievals in McIDAS-V Kaba Bah.

Near-Real-Time Simulated ABI Imagery for User Readiness, Retrieval Algorithm Evaluation and Model Verification Tom Greenwald, Brad Pierce*, Jason Otkin,

Andrew Heidinger and Michael Pavolonis

MODIS Direct Broadcast Products at UW-Madison Recent Highlights Terra MODIS passes acquired IMAPP Level 2 Atmosphere Products released in May 2002.

January 7, 2015 Walter Wolf, Jaime Daniels, and Lihang Zhou NOAA/NESDIS, Center for Satellite Applications and Research (STAR) Shanna Sampson, Tom King,

Bill Campbell, Brian Gockel, and Jim Heil (NOAA/NWS) Marge Ripley and Jean-Jacques Bedet (NOAA/NESDIS/GOES-R) Improved Temporal Resolution GOES-R Sectorized.

MODIS/AIRS/AMSU/HSB Direct Broadcast & Processing Package at the Cooperative Institute for Meteorological Satellite Study Space Science and Engineering.

Vegetation Index Visualization of individual composite period. The tool provides a color coded grid display of the subset region. The tool provides time.

SDI-104 Status Dave Santek SDI-104 Program Manager 2 June 2009.

Prepared by Ken Knapp, NOAA/NCDC 3/19/2015.  ISCCP Background  Activities in 2014  Plans for 2015  Potential interactions with other SCOPE-CM projects.

Retrieval Algorithms The derivations for each satellite consist of two steps: 1) cloud detection using a Bayesian Probabilistic Cloud Mask; and 2) application.

Earth Observing Satellites Update John Murray, NASA Langley Research Center NASA Aviation Weather Satellites Last Year NASA’s AURA satellite, the chemistry.

Real-time Display of Simulated GOES-R (ABI) Experimental Products Donald W. Hillger NOAA/NESDIS, SaTellite Applications and Research (STAR) Regional And.

Geostationary Operational Environmental Satellite R- Series GOES-R Proving Ground High Latitude and Arctic Test Bed Dr. Frank P Kelly Director Alaska Region.

McIDAS-X Software Development and Demonstration Rick Kohrs and Jay Heinzelman 7 May 2012.

Alaska Region-specific Products: Satellite Data Activities and Impacts to NWS Alaska Operations GOES-R OCONUS Workshop Reported by Tom Heinrichs Dayne.

GEO and HEO weather satellites: natural partners Sixth GOES User’s Conference Madison, WI November 3-5, 2009 Louis Garand (EC) and PCW U&ST.

Overview of Climate Observational Requirements for GOES-R Herbert Jacobowitz Short & Associates, Inc.

The National Weather Service Goes Geospatial – Serving Weather Data on the Web Ken Waters Regional Scientist National Weather Service Pacific Region HQ.

Shaima Nasiri University of Wisconsin-Madison Bryan Baum NASA - Langley Research Center Detection of Overlapping Clouds with MODIS: TX-2002 MODIS Atmospheres.

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Combining GOES Observations with Other Data to Improve Severe Weather Forecasts.

Japan Meteorological Agency, May 2014 Coordination Group for Meteorological Satellites - CGMS Volcanic ash algorithm testbed by JMA for validation and.

Microwave Integrated Retrieval System System provides data products from microwave instruments in all weather and all surface conditions. Products will.

NASA, CGMS-44, 7 June 2016 Coordination Group for Meteorological Satellites - CGMS LIMB CORRECTION OF POLAR- ORBITING IMAGERY FOR THE IMPROVED INTERPRETATION.

McIDAS-X Software Development and Demonstration Dave Santek and Jay Heinzelman 25 October 2010.

McIDAS-X Software Development and Demonstration

MCIDAS AND THE AVIATION WEATHER CENTER

McIDAS-X Software Development and Demonstration

Animated Weather on Personal Digital Assitants

AmeriGEOSS Week. GEONETCast. Americas and

ABI Visible/Near-IR Bands

Geostationary Sounders

Dave Santek and Jay Heinzelman October 2005

OpenADDE Access to Data at Direct Broadcast Sites

AIRS/GEO Infrared Intercalibration

McIDAS-X Software Development and Demonstration

Satellite Meteorology – MTO 506E Istanbul Technical University

Presentation transcript:

McIDAS-X Software Development and Demonstration Dave Santek and Jay Heinzelman 2 June 2009 PDA Animated Weather (PAW) Status by Russ Dengel

Overview McIDAS-X 2008, McIDAS-XRD 2008, Software Development and Plans in 2009 PAW Status

McIDAS-X 2008 MTSAT updates MSG corrections Metop FRAC Level 1b server GeoTIFF write server improvements GOES-R ABI simulated data OpenMTP server MODIS CREF product server

MTSAT Updates Navigation module –Update to account for variable subpoint –Corrected transformation for points near limb –Satellite, sun, and relative angles available for ANGLES program List of bands can be input for IMGCOPY

MSG Updates Navigation module –Update to account for variable subpoint –Corrected transformation for points near limb

Metop FRAC (Global full resolution) 3-color combination

GeoTIFF Server Update Web Map Service Added and corrected GeoTIFF tags used by GIS packages Updated to use WGS 84

GeoTIFF update (ArcGIS)

GeoTIFF update (McIDAS-V)

GOES-R Advanced Baseline Imager (ABI) navigation and calibration modules Being used with simulated data (this example uses MODIS)

GOES-R Simulated water vapor channel (6.95 µm) a from high resolution model

OpenMTP Server OpenMTP (Meteosat Transition Programme) is a EUMETSAT satellite image archive format –Server works with Meteosat-7 data that the SSEC Data Center receives from NOAA –Server needs some work for use with data ordered from EUMETSAT archive

MODIS CREF server (Corrected reflectance) The corrected reflectance product is an atmospheric correction Does not remove aerosols Results in better true color composites

McIDAS-X 2008 METAR cloud coverage definition BUFR server NOAAPORT Grid additions Tangent cone projection fixed

METAR Cloud Cover METAR value of FEW is defined as 5 in MD file

BUFR Server

NOAAPORT Grid Additions

Tangent Cone Projection Fixed Corrected for use in Southern Hemisphere

McIDAS-X GOES-13 calibration coefficients updated NOAA-19 updates MOSRPT defaults to GFS POES server returns navigation compatible with McIDAS-V (LALO navigation)

McIDAS-XRD IMGGRA MAP2TEXT MCAWIPS AMRR server MODL server BEEP

IMGGRA (Display image as a graphic) Radar graphic over visible image

MAP2TEXT Convert a McIDAS-X map file into a text file of a list of latitude/longitude segments This file can be edited and then converted back to a map file using MAKEMAP

MCAWIPS ADDE server writes out AWIPS- compatible netCDF files Products used throughout the NWS regions Capability first developed at MSFC

AMRR Server AMSR-E Rainrate product

MODL Server MODIS land surface temperature product

Software Plans for 2009 IMGCOPY –Retain negative values when writing to netCDF file –Write McIDAS-V compatible netCDF files SNDSKEWT to work with GOES sounding retrieval files Ability to serve MSG HRIT files on AIX Replacement for IMGBOWTIE AVHRR Products from CLAVR-X (-XRD)

Bow tie correction (correction for MODIS scanning) IMGREMAPBow tie corrected

Purpose: ADDE servers were developed to access products from Clouds from AVHRR Extended (CLAVR-x) for eventual transfer into AWIPS. –To provide forecasters with high (1km) resolution data from polar orbiters to supplement current MODIS data. –To have a tool for quick display of CLAVR-x products What is available –OBSX: Calibrated and navigated reflectances and brightness temperatures –SSTX: Masked SST and skin temperature –CLDX: Cloud type, height, temperature, optical depth and effective radius –ASHX: Volcanic ash detection, mass loading, etc. (in development) Contact: –Russ Dengel –William Straka III AVHRR Products

Visible and Cloud Type

Cloud Height and Optical Depth

Volcanic Ash Redoubt, Alaska 24 March 2009

McIDAS-Lite and OpenADDE Status Neither has been updated in a couple years. A version of McIDAS-Lite continues to be included with the International MODIS/AIRS Processing Package (IMAPP) for visualizing MODIS products at Direct Broadcast reception sites. McIDAS-V replaces McIDAS-Lite OpenADDE will be phased out as new servers and data delivery methods are investigated as part of McIDAS-V.

PDA Animated Weather (PAW) Status 5,000,000 hits per month Google gadget available