GOES-R in Max The benefits are well known, 5x faster data, 4x better resolution, ~3x more spectral channels What challenges does this new data present?

Slides:



Advertisements
Similar presentations
Future Radar and Satellite Technology Daniel C. Miller National Weather Service Columbia, SC.
Advertisements

Overview of GOES and MTSAT Platforms: Fire Monitoring Characteristics
Lightning Imager and its Level 2 products Jochen Grandell Remote Sensing and Products Division.
TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.
Convective Initiation Studies at UW-CIMSS K. Bedka (SSAI/NASA LaRC), W. Feltz (UW-CIMSS), J. Sieglaff (UW-CIMSS), L. Cronce (UW-CIMSS) Objectives Develop.
2012: Hurricane Sandy 125 dead, 60+ billion dollars damage.
1 GOES Users’ Conference October 1, 2002 GOES Users’ Conference October 1, 2002 John (Jack) J. Kelly, Jr. National Weather Service Infusion of Satellite.
Multiple Criteria for Evaluating Land Cover Classification Algorithms Summary of a paper by R.S. DeFries and Jonathan Cheung-Wai Chan April, 2000 Remote.
UW-CIMSS/UAH MSG SEVIRI Convection Diagnostic and Nowcasting Products Wayne F. Feltz 1, Kristopher M. Bedka 1, and John R. Mecikalski 2 1 Cooperative Institute.
Geostationary Lightning Mapper (GLM) 1 Near uniform spatial resolution of approximately 10 km. Coverage up to 52 deg latitude % flash detection day.
Bureau of Meteorology GOES-9 AMVs Generation and Assimilation Bureau of Meteorology GOES-9 AMVs Generation and Assimilation.
Satellite Imagery Meteorology 101 Lab 9 December 1, 2009.
National Weather Service National Weather Service Central Computer System Backup System Brig. Gen. David L. Johnson, USAF (Ret.) National Oceanic and Atmospheric.
L ow R ate I nformation T ransmission Product Suite Satellite Direct Readout Conference for the Americas in Miami, Florida December 9-13, Charles.
Lecture 6 (10/14) METR 1111 Satellites Doing Something Different.
Japan Meteorological Agency, November, 2012 Coordination Group for Meteorological Satellites - CGMS Status Report on the Current and Future Satellite Systems.
PLANS FOR THE GOES-R SERIES AND COMPARING THE ADVANCED BASELINE IMAGER (ABI) TO METEOSAT-8 UW-Madison James J Gurka, Gerald J Dittberner NOAA/NESDIS/OSD.
GIFTS - The Precursor Geostationary Satellite Component of a Future Earth Observing System GIFTS - The Precursor Geostationary Satellite Component of a.
GOES and GOES-R ABI Aerosol Optical Depth (AOD) Validation Shobha Kondragunta and Istvan Laszlo (NOAA/NESDIS/STAR), Chuanyu Xu (IMSG), Pubu Ciren (Riverside.
GSFC GOES-R Notional End-To-End Architectures Satellite Direct Readout Conference for the Americas December 9 – 13, 2002 Miami, Florida Sandra Alba Cauffman.
Investigating the use of Deep Convective Clouds (DCCs) to monitor on-orbit performance of the Geostationary Lightning Mapper (GLM) using Lightning Imaging.
Improvements of the Geostationary Operational Environmental Satellites (GOES)-R series for Climate Applications GOES-R data and products will support applications.
Future of Global Earth Observations: Innovation Yielding Societal Benefits Vice Admiral Conrad C. Lautenbacher, Jr., U.S. Navy (Ret.) Under Secretary of.
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.
High impact weather studies with advanced IR sounder data Jun Li Cooperative Institute for Meteorological Satellite Studies (CIMSS),
Preparing for GOES-R: old tools with new perspectives Bernadette Connell, CIRA CSU, Fort Collins, Colorado, USA ABSTRACT Creating.
Studies of Advanced Baseline Sounder (ABS) for Future GOES Jun Li + Timothy J. Allen Huang+ W. +CIMSS, UW-Madison.
Satellite based instability indices for very short range forecasting of convection Estelle de Coning South African Weather Service Contributions from Marianne.
Early Evaluation and Operational Applications of Total Lightning in AWIPS-2 Al Cope NOAA/National Weather Service Forecast Office Mount Holly, NJ
The Hyperspectral Environmental Suite (HES) and Advanced Baseline Imager (ABI) will be flown on the next generation of NOAA Geostationary Operational Environmental.
Layered Water Vapor Quick Guide by NASA / SPoRT and CIRA Why is the Layered Water Vapor Product important? Water vapor is essential for creating clouds,
1 Recommendations from the 2 nd GOES-R Users’ Conference: Jim Gurka Tim Schmit NOAA/ NESDIS Dick Reynolds Short and Associates.
Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.
An Overview of Satellite Rainfall Estimation for Flash Flood Monitoring Timothy Love NOAA Climate Prediction Center with USAID- FEWS-NET, MFEWS, AFN Presented.
Large Rotating Storms What’s the Difference? (Images from Wikipedia Pages)
Matthew Lagor Remote Sensing Stability Indices and Derived Product Imagery from the GOES Sounder
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Combining GOES Observations with Other Data to Improve Severe Weather Forecasts.
Data Distribution/dissemination Method
Stephanie Higbee Laura Koehler Bryan Losier. Outline  What is GOES?  History of the GOES Satellites  Instruments on the current GOES Satellite  What.
Digitial Precision Agriculture and Location Intelligence Levente Klein IBM TJ Watson Research Center.
Atmospheric Applications of Multi- and Hyperspectral Remote Sensing
NOAA use of Scatterometry Products Presented to CGMS-43 Working Group 2 session, agenda item 10 Author: Paul Chang.
Encast Global forecasting.
Updates on CMA Meteorological Satellite Programs
NWA Annual Meeting Joint Satellite Workshop
Future Radar and Satellite Technology
4:40 pm EST Wednesday November 16th
Derived Motion Winds Scott Bachmeier, Scott Lindstrom
Fangfang Yu and Xiangqian Wu
RICO Ops Plan – Satellite Section
Satellite Meteorology
AmeriGEOSS Week. GEONETCast. Americas and
DCC inter-calibration of Himawari-8/AHI VNIR bands
GOES visible (or “sun-lit”) image
Satellite Data Resources: Browsing and Accessing Archived Datasets
Need for TEMPO-ABI Synergy
High resolution radar data and products over the Continental United States National Severe Storms Laboratory Norman OK, USA.
ASAP Convective Weather Analysis & Nowcasting
EG2234 Earth Observation Weather Forecasting.
GOES-R Hyperspectral Environmental Suite (HES) Requirements
Geostationary Sounders
NOAA Agency Update Steve Volz, SIT Vice Chair
Technical and scientific verifications of the EUMETSAT MTG-FCI AMV prototype Manuel Carranza Régis Borde.
Challenge: High resolution models need high resolution observations
Generation of Cloud Products from NOAA’s Operational Satellite Imagers
(based on AHI / ABI / AMI)
GOES DCC Deseasonalization & AHI DCC Calibration
Satellite Wind Vectors from GOES Sounder Moisture Fields
G16 vs. G17 IR Inter-comparison: Some Experiences and Lessons from validation toward GEO-GEO Inter-calibration Fangfang Yu, Xiangqian Wu, Hyelim Yoo and.
Representing Climate Data II
Presentation transcript:

GOES-R in Max The benefits are well known, 5x faster data, 4x better resolution, ~3x more spectral channels What challenges does this new data present? How is The Weather Company overcoming these challenges? What kind of data can be expected?

GOES-R produces roughly 1 GOES-R produces roughly 1.75 TB of data per day, much more data than current satellites, and changes the paradigm of how data should be delivered

Traditional Data Delivery for Max (“Skybase”) Data is pushed to each customer (by subscription) Point data (e.g. iCast feed, obs, etc.) WWA Info “Raster” data (e.g. Radar, Satellite, Forecast model grids). Note that Raster data is often referred to as “RQT” (raster quad tree) data Skybase data is always there, even if never used. Not very efficient – requires more… Bandwidth System processing power System disk space

Introducing the “Data From the Cloud” (DFC) Service IBM is making significant investments in analytics and cloud computing. As an enterprise, we are committed to making “Big Data”, including GOES-R, available wherever it is needed. Introducing the “Data From the Cloud” (DFC) Service

DFC Service (New) New data products (including GOES-R data) are pushed to the Cloud Max scenes automatically fetch required data from Cloud For scenes that are active in hits (shows), or workspaces Max will not fetch parameters or areas of the world that the scene does not need If geography of a scene changes, Max will adjust and begin fetching what it needs (also new parameters, new models, etc.) A slight delay will be apparent for the first fetch, then data is cached and kept up to date thereafter. For maximum efficiency, data is fetched ONCE by the Max Core and shared automatically with all workstations, even if Max is not running

DFC Service Available with Max v6.3: Global 13km RPM Himawari-8 Satellite Imagery (similar imager as GOES-R) NOAA Satellite Data GOES-East and West - IR 4k, VIS 2k, WV 4k 15 min update w/ 7.5 min Rapid Scans

Weather Company GOES-R Plans Much Higher Resolution = Much Bigger Images Example: One full disk .5km Visible image is 21,696 x 21,696 (~471M pixels) and 270 Mb. Even at 50Mbps download speeds, that would take close to a minute for just that one image (not efficient) Logical Product Footprints Being Adopted The following examples will be made available in Max systems that meet the minimum hardware requirements.

GOES-R Sample Footprints (approximate) CONUS 0.5km VIS… 5 min updates CONUS 2km IR … 5 min updates

GOES-R Sample Footprints (approximate) Northern Hemisphere 0.5km VIS… 5 or 15 (most likely) min updates Northern Hemisphere 2km IR… 5 or 15 (most likely) min updates Northern Hemisphere 2km WV… 5 or 15 (most likely) min updates

GOES-R Sample Footprints (approximate) Floater .5km VIS… 30 sec or 1 min (most likely) updates Floater 2km IR… 30 sec or 1 min (most likely) updates

Weather Company GOES-R Plans Future Products Access to GLM data Other L2+ products are being investigated (rainfall rate, derived stability indices, total precipitable water etc.) http://www.goes-r.gov/products/baseline.html Anything outside of “Radiances” in the ABI column is a Level 2+ product

Weather Company GOES-R Plans Media System Access Full-resolution data sets only available on Max (i.e. not WxPro, Fusion, :LIVE, LiveWire, etc.) Minimum Max configuration includes a newer Dual Core (less than 4 yrs. old) & z820 or better workstation(s) We will use GOES-R data to synthesize current generation GOES products (spatial and temporal resolution) for legacy/older systems. These products will look essentially as they do today.

Example – Existing 4km IR

Example – 2km IR from HIMAWARI

Example – 4km Visible Sector (legacy display system)

Example – 1km Visible (GOES-R will be even better)

pat.feldhausen@weather.com four foundational dimensions: Thank You! pat.feldhausen@weather.com four foundational dimensions:

four foundational dimensions: Backup Slides four foundational dimensions:

DFC Service – Data Samples Himawari-8 2km IR Satellite Image of Super Typhoon Nepartak

DFC Service – Data Samples NOAA IR Satellite Image of Hurricane Lester

DFC Service – Data Samples NOAA VIS Satellite Image of Tropical Storm Hermine

Current GOES vs. GOES-R Item Current GOES GOES-R Spectral Channels of Data 5 channels across visible and IR 16 Channels across visible, near IR and IR Visible Imagery Resolution 1km 0.5km IR Imagery Resolution 4km 2 near IR channels 1km Rest of IR 2km Real Time Lightning Mapping None Lightning density over entire full disk (including oceans) Solar and Space Monitoring GOES-R has significantly improved instrumentation to improve reliability and accuracy of space weather forecasts over the current GOES

Current GOES vs. GOES-R Update Frequency Current GOES GOES-R Full Disk Every 3 Hours Every 15 Minutes or every 5 minutes depending on mode of operation CONUS Every 15 Minutes Every 5 Minutes Floater Sectors at 1000km x 1000km N/A Every 1 Minute if 2 Sectors are Activated Every 30 Seconds if 1 Sector is Activated