IMSC2016: The start

Every three years a group of statisticians and geo-scientist for a meeting to discuss the newest developments of the statistical side of climatology. This meeting, the International Meeting on Statistical Climatology, is an interesting meeting point of many scientist to exchange new ideas. This year, its 13th edition takes place in Canmore, roughly an hours drive west of Calgary, in the Rocky Mountains (so yes, that is the area where the 1988 Winter Olympics took place).


Myself have hoped to visit the conference three years ago, but at that time it had not worked out. Now I got the chance to enjoy the conference and of course, a nice location like this is added extra value. Anyway, the focus is on the statistical part and especially for me to get new ideas and insights into current statistical methodologies. The format of the conference is a quite interesting one. The day starts with two sessions for everyone, where in each session just three longer talks are given. After lunch it switches to two parallel sessions, where six talks are given each. That format allows to get deeper into a topic and still see a lot of new and interesting stuff.

This day started with a nice overview on verification techniques and new methodologies and strategies in this field. It was followed by interesting talks on attribution of extreme events. After lunch I followed a session on climate variability and one on model evaluation. All these topics cover a wide range of statistical topics, which made it a great start for this conference.


Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )


Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.