Training Team Review Satellite Science Week 2013

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The NWS published the Strategic Plan: Building a Weather-Ready Nation in 2011.

The agency must implement this plan through 2020 (and likely beyond).

The plan was built on 6 goals:

Goal 1: Improve weather decision services for events that threaten lives and livelihood

Goal 2: Deliver a broad suite of improved water forecasting services to support management of the Nation’s water supply

Goal 3: Enhance climate services to help communities, businesses, and governments understand and adapt to climate-related risks

Goal 4: Improve sector-relevant information in support of economic productivity

Goal 5: Enable integrated environmental forecast services supporting healthy communities and Ecosystems

Goal 6: Sustain a highly skilled, professional workforce equipped with the training, tools, and infrastructure to meet our mission

NOATWeather-Ready Nation (WRN)

NOATWRN - Science and Technology Concepts

• The SSD Chief (NOAT) Science Vision (Key Themes) come from the Science and Technology (S&T) CAPSTONE document.

• Tied to Underlying S&T Concepts in WRN Roadmap:• Best State of the Atmosphere (comprehensive

situational knowledge)• Forecaster Decision Support Environment (FDSE) • Next-generation forecast system• Reliable forecast confidence and uncertainty• Agile, scalable, cost-effective data processing,

management and dissemination• Research to Operations (R2O) and Operations to

Research (O2R) (Risk Reduction, testbeds, and dynamic training as a core function)

Working Together for Satellite Training

SatelliteProving Ground

Users & Developers

NASA/SPoRT, DOD, …

VISIT (CIRA/CIMSS) UCAR/COMET®

WMO, EUMETSAT, Canada, …

Training Division + SOOs & DOHs

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NOATWRN - Science and Technology Concepts

Impacts and Issues:• Initial zero hour of the forecast database and data assimilation

• Initial conditions to next generation modeling systems

• Forecaster assist in monitoring /QCing the forecast database

• Forecaster situational awareness • Verification• Better boundary layer depiction, especially low level distribution of moisture• Enable concept of “Warn on Forecast”• Improved QPE/QPF•Development of general convection anticipated• Improved boundary layer forecasts of cloud, fog and visibility• Improved architecture for IDSS• Input into advanced DS systems (Avn NextGen, fire wx, environmental/ecosystems)

How do you fit?Smoke and dustMoisture/cloudsDerived windsFire hot spotsQPESSTTPWSnow/ice coverSea iceVolcanic ashLow clouds/fogVisibilityCIOvershooting TopsEnhanced VLightning JumpStability IndicesHurricane IntensityMoisture profileNearcast, etc

VISIT Training – Focus on Satellite Proving Ground

• Plans for Fog/LS and Lightning in support of Testbeds, PGs & prepare for AWIPSII

• VISIT Chat – Monthly Interactive Sessions

• Synthetic Imagery Applications from NSSL WRF

• Completions tracked on NWS LearnCenter in CLC

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The primary mission of VISIT is to accelerate transfer of research results based on atmospheric remote sensing data into NWS operations using distance education.

Lessons Learned (FLS)

• Product naming/branding is very important• SME involvement in the training process is very, very

important (trainer must understand the material well enough to explain it to a non-expert in a very clear manner)

• Operational needs differ from region to region. Thus, the training material should contain region specific examples.

• It is important to keep training examples current• Forecasters and researchers are not that different!• Reliable and efficient product generation and distribution

can occur outside of NESDIS operations

An Operational Example: Blended TPW

Multisensor (GPS, AMSU-SSMI) product well used by forecasters because it dealt with a significant issue: moisture distribution Why we need this?

Atmospheric RiversHeavy rain/snowFlood/BlizzardDroughtConvective Storms

Reminder: Training on TPW from NWS, VISIT and COMET

NOATWRN - Science and Technology Concepts

Suomi NPP: A New Generation of Environmental Monitoring Sat., pub. May 2012 Imaging with VIIRS, 2nd Edition, pub. April 2012 GOES-R ABI: Satellite Imaging for the Next Generation, Pub. Feb. 2013 Advances in Nighttime Satellite Observation, (DNB), Pub. April 2013 How Satellite Data Inform NWP, Anticipated Pub.Q1 FY14 GOES-R GLM module, in FY14 COSMIC-2 and PCW Modules, hopefully starting soon

http://meted.ucar.edu/topics/modules/satellite

Really NEW & Coming Soon

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in Spanish too!

transitioning unique data and research technologies to operations

2nd NOAA Satellite Science Week March 18-22, 2013

• NWS/OST will coordinate with members and determine next steps

• VLab• Training materials will be available• Presentations• Assignments• Solutions• Recordings

• AWIPS II forum planned• Software checklist• Project tracking

• Biweekly telecons will continue• Training• Project planning

• Code-sprint possible as next workshop (Fall 2013)

What’s next for the EPDT?

Presentation Summary• CIMSS is actively embracing AWIPS II to further demonstrate

the impact of GOES-R and JPSS imagery on operational meteorology. AWIPS II offers several advantages over AWIPS I.

• The satellite and RGB-compositing capabilities of the software are increasing but need to be refined.

• There is still a lot of work to be done.– Adequate training and testing platforms are a necessity but availability

is very low.

• We must begin to consider the data delivery strategy to maximize utility of imagery and products on the first day of operations.

Questions? Comments?

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Training Issues

• Include Training in NOAT, SDEB & PG meetings – Ensure Focused on Top Priorities at Training Division, VISIT, COMET, SPoRT, Satellite Liaisons, …

• Training is structured process with, learning objectives based on performance needs and case studies & simulations where learning is applied.

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Training Issues

• Reduced NWS Training Funds (-50% drop over 2 years)• Other Key Topics:

– Space Weather, High Latitude, Ocean, Climate, Decision Support/Makers, Weather Ready, Aviation, …

• Lessons Learned: Virtual Meetings/Conferences…• Next Virtual Science Week?

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