This presentation explores by example the question of weather forecasting's role in developing accurate climate models.
This presentation presents:
- Three reasons
- Four examples
- Final Remarks
To demonstrate the following:
- Evaluate the simulation of moist processes against field observations taken on a particular day and location
- Evaluate the nature of moist processes parameterization errors before longertime scale feedbacks develop
- Assess how soon climate biases develop
ACTIVITY DESCRIPTION AND TEACHING MATERIALS
View PowerPoint Presentation>> "What can climate modelers learn from a weather forecasting approach about errors in the parameterization of atmospheric moist processes?"
TEACHING NOTES / CONTEXT FOR USE
- The technique of weather forecasting is helpful to climate modelers for several reasons but I don’t want to oversell it.
- As is true of many diagnostic studies, it almost never tells you how to fix something
- It does tell something about how errors develop, rules out some potential causes, and facilitates the use of specialized field campaign data
- Generally the differences between model simulations and observations are greater than the problems caused by adjustment to analysis from a foreignmodel – thus “model differences” are“model errors”
- The continuing improvement of analysis data facilitates this work
Assessment is at the descretion of the educator in how this presentation is applied.
REFERENCES AND RESOURCES