CALMet Online 2014
Programação
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Livro
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Bernadette Connell (CIRA)
Imagine this conversation: “It is exciting to be preparing for a new satellite! Where do we start? Basics. What’s similar? What’s new? What’s different? How will this affect us? Wow! There will be a 16 channel imager, a geostationary lightning sensor and more frequent imagery. What’s that you say? The data format will be different? Hmmm. Do you have any inexpensive software suggestions? How will we get the data? Our internet connection barely keeps up with what we receive now. No, we can’t afford one of those satellite direct readout stations….”
Well, maybe you didn’t need to imagine it –If you are like me, you have heard many similar conversations with many more questions. Deciding where to start and what information to present reflects your own experiences. How did you learn? How do others learn? It depends on their learning style and their level of experience. During the first week of this session we will look at basic types of information available for GOES-R and participants will help classify who the information should be directed towards (forecaster: intern, experienced, expert ) and why. We will also encourage participants to offer suggestions on how to modify the content for their region or another type of user. During the second week, we will focus on aspects of data access and visualization to create a product example in preparation for the new satellite. As a participant you can either create your own example or collaborate with and use the talents of other participants to create a basic example for your chosen intended audience (intern, experienced, expert).
We won’t get around to addressing all the questions of the first paragraph, but we’ll likely experience many of them.
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Day 1 - Mondays are often full of surprises at work, so I have tried to make this activity something you can do in 20 minutes or less. A few items are introduced for you to think and then answer 2 questions!
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Listen to this 7 minute video or if you are a reader, look through the pdf . They both giving a brief background for this week's activities and a few Proving Ground Success activities.
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Arquivo
If you are a reader (like me), here is the slide and text version.
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The scale (1=very high, 4=low) was initially missing from the question. From those people I have heard from, that has been changed and reflected in this table.
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Day 2: Reality - the satellite will launch in another year...
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Look at this brief for our next set of challenges: reality of the not in real time yet and how do you like your information?
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Day 3 View multiple graphs comparing the channels on various satellites across the globe and “Image + Graph” example combination.
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I hope this set of graphs from various satellites will encourage you to look at how the channels on your satellite compare with those of you neighbor and also with new satellites to be launched in the future. The graphs are separated into “Visible and Near Infrared” and “Infrared” because of the different means of interpreting the radiance measurements: albedo and brightness temperature. Here, transmittance is used in the “Visible and Near Infrared” because it highlights various absorption regions in the atmosphere that affect measurements. Brightness temperature is used in the Infrared because that is the most familiar to the forecaster. Both are presented here to give the broader picture. They are best represented in a loop so that the background does not move but the channel locations do. These are html5 loops and can be readily viewed in browsers and mobile devices. There are a few glitches for the controls on iOS devices so if you have a problem, check out the link at the bottom of the page.
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For the “Image + Graph” example, I’m trying out the padlet ;) Can you contribute answers to the questions on the padlet? Besides what is listed on the padlet, you can also contemplate the following questions. Does the graph take on more meaning when you combine it with an image? What other information can you get out of the graph? The broad band measurement gives one value whereas the spectra gives multiple values. When might this be very good and when might you have to make sure you remember it is more of an average?
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Week 2 - A brief look at data access and display
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Some of us are in institutions that have great access to data and imagery as well as software to display and manipulate it. Some of us do not. This is not a new issue either. With a new satellite and lots more data, what will we do?