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Call for Papers: Themed Joint Session: "Determining the Uncertainty of Climate Predictions and Projections" at AMS (USA)

Last modified September 03, 2012 16:06 expired

We would like to invite submissions to the following Themed Joint Session of the AMS Annual Meeting on January 8, 2013.

We would like to invite submissions to the following Themed Joint Session of the AMS Annual Meeting on January 8, 2013.

Determining the Uncertainty of Climate Predictions and Projections and Best Practices for Users of Climate Information

We are seeking papers for this session which focus on recent advances and the state of knowledge in the uncertainty of climate predictions and projections and best practices for the use of information on uncertainty. Emphasis will be given to determining cascading uncertainty in user derived climate products in areas such as hydrological prediction, the likelihood of extremes, coastal inundation and drought prediction, as well as downstream impacts, such as health and economics. Topics of interest include current state-of-the-art probabilistic predictions, advances in methodologies for determining uncertainty, as well as best practices for expression of uncertainty in climate services and incorporating uncertainty in user models. This session is convened jointly as part of the Symposium on the Role of Statistical Methods in Weather and Climate Prediction and 25th Conference on Climate Variability and Change, so presentations that concern the crossover of probability and statistics with climate variability and change are invited.

Symposium on the Role of Statistical Methods in Weather and Climate Prediction Contact: Dan Collins, Dan.Collins@noaa.gov <mailto:Dan.Collins@noaa.gov>

25th Conference on Climate Variability and Change Contact: Hai Lin, Hai.Lin@ec.gc.ca <mailto:Hai.Lin@ec.gc.ca>

Abstracts are due August 8.

To submit an abstract, follow link for "Symposium on the Role of Statistical Methods in Weather and Climate Prediction" abstracts here: <https://ams.confex.com/ams/93Annual/oasys.epl> and choose the linked session: "Determining the Uncertainty of Climate Predictions and Projections and Best Practices for Users of Climate Information"

<mailto:Hai.Lin@ec.gc.ca>

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