Characterization of the long-time and short-time predictability of low-order models of the atmosphere

Nonlinear Sciences – Chaotic Dynamics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

To appear in Journal of the Atmospheric Sciences

Scientific paper

10.1175/1520-0469(1999)056<3495:

Methods to quantify predictability properties of atmospheric flows are proposed. The ``Extended Self Similarity'' (ESS) technique, recently employed in turbulence data analysis, is used to characterize predictability properties at short and long times. We apply our methods to the low-order atmospheric model of Lorenz (1980). We also investigate how initialization procedures that eliminate gravity waves from the model dynamics influence predictability properties.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Characterization of the long-time and short-time predictability of low-order models of the atmosphere does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Characterization of the long-time and short-time predictability of low-order models of the atmosphere, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Characterization of the long-time and short-time predictability of low-order models of the atmosphere will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-448352

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.