Welcome bloggers~! This session will discuss FC's for the above EP. You can add your comments to a blog once you have logged in using the username and password emailed to you on the 26th.
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Facilitator: Becca Hatheway; Online Participant Liaison: Rob Payo; Recorders: Cindy Hamen
Participants in Attendance: Ted Williams, Miriam Lund, Ann Colen, Deke Arndt, Peter Schultz, Janelle Albarez, Ola Peterson, Jack Williams, Mary Beth , Joe Moran, Carol Landis, Daniel Barstow, Cynthia Hamen, Bob Henson, David Smith, Julie Winkler, Susan Foster
Session begins: 10:42 am
Ola: Predixn models are complex sets of mathematical relationshipos based on phys principles
Accuracy of predictions are limited by non-linearity of weather/climate processes
Certain scenarios and other time scales, dynamics, are more predictable than others....How far out can you predict weather
Instruments in classrooms
Math and weather relationships imp to stress
Obs are fundamental not only for predicting but understanding the atm
prediction: describing based on math principles
Dan: Concern of the use of the word "complex" ..overemphasizing the complexity vs what is accessible for us.
Mary: What's the obs suite available to them to understand the atm
Carol: From K12 perspective, I don't neccessarily need measurements to obs weather.
Jack: Can we change wording to "observation and measurement"
Janelle: Inquiry is in issue, how to teach it. Using inquiry type words help them to incorporate this content in the classroom.
Peter: 4 reasons why we do observations. if you think about why you are doing it, help
Revise #3: Interpret obs and use phy principles to dev theories/models
Discussion of process using these 4 ideas:
From the theory, have the models themselves using the obs given
mary: tie it back to picture you see,
Jack: Prediction of weather and climate begins with collecting as much data as possible, then using computer models programmed with t eh basic math of phys principles
Deke: Purposeful obs, we have a plan: this needs to be incl
Peter: Uncertainty assoc with the variabilty of the system, anal over time
Ann: Accuracy and capability of the instruments used (engineering, math)
Susan: Uncertainty as a characteristic of the scientific process, general public understand that vs building a mistrust in scientific endeavors
Deke: Our understanding of the atm and climate system comes from accurate and purposeful observations of conditions at the earth's surface, throughout its astm and its oceans. Obs may be later by an instrument at the stie or from a distance.
Jack: All prediction is inherently uncertain.
Rob: Inclusion of Sharon Cooper's and Lois Ongley's comments in the list
Carol: Reword the EP statement:
Through observation, measurement and the appl of scientific principles, humans can understand the past, present and future behav of the atm.
Laws of physics, application of basic principles of physics, conservation laws
Joe: Models are an approximation of phenomena.
Ann: Should that be left to the teacher?
Carol: I don't think we should make that assumption
Jack: Variety of technologies are utilized to measure and obs the weather. Do we need to get into active and passive obs? Probably not at this level.
Peter: Models used in making climate projections are similar to those used in weather forecasting. The guts of these models are identical
Joe: But outputs are different. One looks at actual conditions, another looks at anamolies
Peter: We build an understanding of weather and then move from prediction
Janelle: Dealing with anamolies: teachers have trouble with this
Carol: Example of evolution: do you reject or accept the evidence? The evidence is compelling, turning the conversation away from "belief" terminology
Jack: Goes back to the uncertainty notion,
Ann: Comfort with uncertainty should be noted.
Ted: I think we're going to far deep. Something general that encompasses this should be used: Scientist used math models and data from a variety of obs to make predictions about weather and climate
Ted: Does the public need to know the details of how this is done?
Deke: But understanding these obs requires use of math, physics and an organized method of observation
jack: Yes, this isn't done by happenstance. Having the gen public understand that there is a process of knowing
Peter: The formal education piece is not about belief, but based on scientific inquiry
Understanding and quantifying the predicatability of the forecast
Climate predictions: how they differ from the projected local forecast
Dan: NSES statements on uncertainty:As students learn more sci processes, their explanations should become more sophisticated and reflect a greater tolerance for uncertainty.
Ann: Is it time to start grouping things? Are there emerging themes?
Janelle: Prediction models are based on scientific principles of sciences incluiding physics, and chemistry.
Peter: But not all prediction models are mathematical.
Deke: Forecasts incorporate conceptual understandign, obs data, mathematics,
Jack: Models are an approximation of reality. Models range from simple concepts to complex mathematical relationships.
4 reasons why we do observations. if you think about why you are doing it, help
Rewording EP:
Through observations, measurements and the applications of scientific principles, humans can understand the past, present as well as predict the future behavior of the atm.
Session ends 12:05pm MT. Will resume with a quick plenary to go review before next round begins at 1pm MT. Thank you Sharon, Lois, and Linda for attending as well!