An Observational Approach for Training to Enhance User Understanding of New Channels on VIIRS and GOES-R Bernie Connell bernie.connell@colostate.edu.

Slides:



Advertisements
Similar presentations
Volcanic ash and aerosol detection versus dust detection using GOES and MODIS imagery Bernadette Connell Cooperative Institute for Research in the Atmosphere.
Advertisements

Deirdre Kann National Weather Service WFO Albuquerque Deirdre Kann National Weather Service WFO Albuquerque 7 th GOES User’s Conference October 21, 2011.
Visible and Infrared (IR) Weather Satellite Interpretation 1. Visible satellite images are coded from black to white according to the amount of reflected.
2D Design Color Theory User interface design. Before even thinking about colors
An artificial neural networks system is used as model to estimate precipitation at 0.25° x 0.25° resolution. Two different networks are being developed,
Effective Math Online LearningLDT 2001EMOL EMO L Effective Mathematics Online Learning.
Satellite Training Activities VISIT, SHyMet, and WMO VLab Focus Group Bernadette Connell Cooperative Institute for Research in the Atmosphere Colorado.
Satellite Imagery ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences Introduction to Remote Sensing and Air Quality Applications.
An Update of CIRA’s GOES-R and JPSS Proving Ground Activities Ed Szoke 1,2, Dan Bikos 1, Renate Brummer 1, Hiro Gosden 1, Steve Miller 1, Curtis Seaman.
GEONETCast Americas (GNC-A) Training Activities Presented by: Bernie Connell (CIRA) Includes contributions from: NOAA Office of Satellite and Product Operations.
Green-1 9/17/2015 Green Band Discussion Satellite Instrument Synergy Working Group September 2003.
Satellite Training from the Cooperative Institutes: VISIT and SHyMet Programs Bernie Connell Dan Bikos and Ed Szoke Cooperative Institute for Research.
Image Processing Image Histogram Lecture
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
OUR JOURNEY IN DOLACEE Teaching ESL students in mainstream classrooms: language in learning across the curriculum CCC YENCHING COLLEGE Ms Yew Ming Oh Jenny.
Preparing for GOES-R: old tools with new perspectives Bernadette Connell, CIRA CSU, Fort Collins, Colorado, USA ABSTRACT Creating.
Hands-on exercise showcasing ABI’s 16 channels with improved spatial resolution and temporal refresh rate (plus Weighting Functions and RGB ABI examples)
Leveraging of Suomi NPP VIIRS. Ice Jams and Flooding: Yukon River Example 1 May 2012 Yukon River frozen over VIIRS “Natural Color” ( I-1, I-2, I-3 ) imagery.
Thailand Soeythip Sukul EIFL-Thailand.
Joint Polar Satellite System (JPSS) John Furgerson, NOAA User Liaison Joint Polar Satellite System.
JPSS Training Plan BY JOREL TORRES 1, BERNIE CONNELL 1, STEVE MILLER 1, BRIAN MOTTA 2 AND TONY MOSTEK 2 JPSS SATELLITE LIAISON 2016 OCONUS INTERCHANGE.
Warm Up From Home Work of Why does weather in the USA have an effect on weather in France? A Storms blown by winds travel East.
GOES-R ABI and Himawari-8 AHI Training using SIFT
Natural Environments: The Atmosphere
GOES-R ABI and Himawari-8 AHI Training using SIFT
Capacity building in the Maths4Stats project
Digital library module #10 (sec. ela)
Best practices for RGB compositing of multi-spectral imagery
GOES-8 thru GOES-15 NPP VIIRS MSG SEVIRI AVHRR GOES Sounder MTG FCI
METEOSAT SECOND GENERATION (MSG)
User Preparation for new Satellite generations
Setting up and Optimizing VLRCs
Night Vision Technology
Weather Makeup Bellwork
Current Satellites, Products, and Activities
Recruitment, Retention, and Relationship
TIROS-1: The First Weather Satellite
GOES visible (or “sun-lit”) image
Satellite Training Activities: VISIT, SHyMet, and WMO VLab
Thursday, 1/29/2015 Objectives: Describe Earth’s interior.
Night time sea ice motion East Central Greenland
Python Training Institutes in Hyderabad Python Training Institutes in Hyderabad.
Weather S4E3. Students will differentiate between the states of water and how they relate to the water cycle and weather. a. Demonstrate how water changes.
Sea of Japan Full moon depiction at night using VIIRS Day Night Band (DNB) with Enhanced IR along with an application of the Lunar reflection model developed.
devised by: D. Rosenfeld
TIROS-1: The First Weather Satellite
Suomi NPP VIIRS Day Night Band (DNB)
TIROS-1: The First Weather Satellite
Insolation In = incoming Sol = solar Ation = radiation Insolation – radiation from the sun.
An Update of CIRA’s GOES-R and JPSS Proving Ground Activities
DNB provides more low cloud structure City Lights
devised by: D. Rosenfeld
Ocean Chemistry and Circulation
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
September 2006 ELT Oran.
Earth’s Energy Budget.
Status of recent/near future VISIT/SHyMet as it relates to the Satellite Foundational Course for GOES-R (SatFC-G) NOAA Satellite Proving Ground / User.
1. How does sunlight change as it is absorbed. A. It becomes heat. B
Satellite Foundational Course for JPSS (SatFC-J)
Satellite Foundational Course for JPSS (SatFC-J)
Atmospheric Sciences 101 Weather Satellite 2019
Open up your laptops, go to MrHyatt.rocks, and do today’s bell work
What should I study for my Science Quiz
Oceanic Features via VIIRS
Exciting things we could discuss
Embedded approaches to numeracy teaching
Learning Science with Understanding
What Can You Observe About Stars?
APPLICATIONS OF METEOSAT SECOND GENERATION (MSG)
Interactive Online Simulators
Presentation transcript:

An Observational Approach for Training to Enhance User Understanding of New Channels on VIIRS and GOES-R Bernie Connell bernie.connell@colostate.edu Cooperative Institute for Research in the Atmosphere What matters in the presentation and the learning process? Training Face to face versus virtual Lecture versus module versus discussion Quick examples Encounter different types of learners at different stages of learning. Familiar Language and Orientation South or North? Familiar Language / Units Example - Back to Radiation Basics Trainers Observation/ Example: Simple Fog Product: Users want: high contrast yes/no contextual how and why Training to "how and why" promotes a deeper subject understanding. Research to Operations… Do Units and Orientation Matter? Which graph is easier to interpret? or Why? Does it depend on familiarity? Night Day Reflectivity Product 3.9 µm and 11.0 µm Snow Ocean Stratus Stratus Brightness Temperature Difference 11.0µm-3.9µm Stratus RGB True Color http://rammb.cira.colostate.edu/training/rmtc/newsat.asp http://prezi.com/qyjxg3kqec3e/?utm_campaign=share&utm_medium=copy&rc=ex0share Acknowledgments This work is supported by NOAA Grant NA14OAR4320125.