sport activities in support of the goes-r and jpss proving grounds andrew l. molthan, kevin k....

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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 Research and Transition (SPoRT) Center Marshall Space Flight Center, Huntsville, AL 2 nd NWS Eastern Region Satellite Virtual Workshop February 26, 2013 transitioning unique NASA data and research technologies to operations

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Page 1: 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

SPoRT Activities in Support of the GOES-R and JPSS Proving Grounds

Andrew L. Molthan, Kevin K. Fuell, and Geoffrey T. StanoNASA Short-term Prediction Research and Transition (SPoRT) Center

Marshall Space Flight Center, Huntsville, AL

2nd NWS Eastern Region Satellite Virtual WorkshopFebruary 26, 2013

transitioning unique NASA data and research technologies to operations

Page 2: 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

Overview of SPoRT PG Activities

Goals:• Develop new products or provide

products from collaborators for evaluation.

• Expose current forecasters to the capabilities of future instruments.

• Provide feedback to product developers for improvement.

Activities:• Development of training modules

to accompany a variety of products.

• Targeted evaluation periods featuring site visits, collaboration calls, and surveys (metrics).

GOES-R and JPSS PG Partners as of June 14, 2012

transitioning unique NASA data and research technologies to operations

Page 3: 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

Products Overview• Use of MODIS and Meteosat-9/SEVIRI

capabilities as a proxy for future GOES-R– Multispectral RGB composites that use standard

techniques to emphasize key features.

• Extension of MODIS capabilities to VIIRS where possible– Additional RGB composites in addition to high

resolution visible and infrared– New capabilities using the near constant contrast

or “day-night” band.

• Development of GLM proxies from lightning mapping arrays– Total lightning– Lightning trends and jumps– Relationships to severe weather and lead time

• Passive microwave composite products and single channel imagery comparable to capabilities of ATMS and NASA’s GPM.

• Demonstrate products within the AWIPS and AWIPS II decision support systems.

AWIPS

transitioning unique NASA data and research technologies to operations

AWIPS II

Page 4: 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

GOES-MODIS-VIIRS Hybrids

• The primary challenge in using polar orbiting data is temporal resolution.

• SPoRT has developed a “hybrid technique” that replaces GOES pixels with MODIS or VIIRS when those data sets are available.

• This allows for looping and viewing of higher resolution data comparable to GOES-R.

MODIS or VIIRS

Current GOES

IR Hybrid Example

transitioning unique NASA data and research technologies to operations

Page 5: 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

Developing RGB Image Techniques• EUMETSAT has developed several

multispectral “RGB” composites from the SEVIRI instrument.

• CIRA also helped to spur interest in these products by providing them to the NHC in Google Earth format.

• By combining information from multiple channels, resulting images depict:– Air mass characteristics– Cloud microphysics– Separation of fog, low cloud, snow– Dust and other aerosols

• SPoRT has provided many of these products to end users in AWIPS and N-AWIPS, and moving to AWIPS II as offices complete their transitions to new systems.

MODIS “Air Mass” in AWIPS

SEVIRI “Air Mass” in N-AWIPS

transitioning unique NASA data and research technologies to operations

Page 6: 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

MODIS Color Composites

• The GOES-R ABI will have additional spectral bands, allowing for new false color composites, which assist with image classification and feature detection.

• SPoRT provides these products in AWIPS for evaluation and testing.

• Similar products from SEVIRI have been used extensively by the National Centers.

“Night Microphysics” – Fog Detection

R: 12-11 μm, G: 11-3.9 μm, B: 11 μmCombines 3 channels of information.

transitioning unique NASA data and research technologies to operations

Page 7: 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

Extension to VIIRS Data

• VIIRS has many capabilities similar to MODIS, with the exception of water vapor bands.

• SPoRT is providing additional false color composites from VIIRS with minor adjustments to accommodate differences from MODIS.

• Greater swath coverage and swath edge resolution improves usefulness.

MODIS Algorithm Applied to VIIRS

Corrected Algorithm to VIIRS Data

MODIS VIIRS

Improved use of VIIRS RGB products by adjusting to be equivalent in appearance to MODIS

transitioning unique NASA data and research technologies to operations

Page 8: 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

Day-Night Band Examples

• The Day-Night band offers a variety of new opportunities to apply visible-light imagery at night.

• In this example, combinations of DNB and infrared imagery are performed similar to NRL techniques.

transitioning unique NASA data and research technologies to operations

Page 9: 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

Day-Night Band Examples

• DNB imagery also identifies city lights, changes following disasters, fires, and other features when moonlight is not available.

• In this example, city lights coverage decreases following Hurricane Isaac.

transitioning unique NASA data and research technologies to operations

Page 10: 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

Lightning Demonstrations for GLM• The Geostationary Lightning

Mapper (GLM) will assist in the detection and prediction of severe weather.

• As a demo for GLM capabilities, SPoRT provides data from lightning mapping arrays:– North Alabama (NALMA)– Washington, D.C. (DCLMA)– NASA Kennedy Space Center– Other networks are available in

CONUS and data are requested

• These LMAs are used to develop products comparable to future GLM capabilities.

land

Possible GLM Coverage and 95-05 Lightning Climatology

LMA Coverage

transitioning unique NASA data and research technologies to operations

Page 11: 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

Utility of Lightning Data

• In addition to public safety, lightning data provides information related to storm strength and intensification.

• The “lightning jump” technique has been used to predict severe weather.

• Future GLM capabilities may provide similar datasets for “jump detection” over CONUS.

landUpdraft

Intensifies

Vortex Spin-up

transitioning unique NASA data and research technologies to operations

Page 12: 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

The SPoRT “Pseudo-GLM” Product

• Serves as a placeholder until the official GLM proxy is available.

• Evaluated as part of the SPC Hazardous Weather Testbed Spring Experiment.

• Receives CONUS LMA datasets as inputs and downscales to a resolution (8 km) comparable to the GLM capabilities. Future GLM flash rates will help to identify

updraft centers within other satellite imagery.

transitioning unique NASA data and research technologies to operations

Page 13: 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

New Tools for AWIPS II Applications

• SPoRT is developing new tools to help forecasters analyze lightning trends as a precursor to an official “jump” algorithm.

• The tool allows for semi-automated tracking of individual cells and reports lightning trends, and could also be extended to other products: cloud top cooling rate, etc.

Example of an AWIPS II developed by SPoRT/NWS to allow interactive lightning tracking over time.

transitioning unique NASA data and research technologies to operations

Page 14: 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

Summary

• SPoRT participates in the GOES-R and JPSS Proving Grounds, developing products for real-time use that are comparable to future capabilities through demonstrations using MODIS, VIIRS, and SEVIRI.– Emphasizes collaborative partnerships with WFOs,

focused on their forecast challenges.• Ongoing activities in 2012/2013 will emphasize

developing of AWIPS II capabilities and continued, targeted evaluations of products with the end user community.

transitioning unique NASA data and research technologies to operations