Statistical up/downscalingWelcome to the SAMA group's Up/Downscaling page.
This theme is coordinated by P.A. Michelangeli ().
Atmospheric or oceanic general circulation models, not even speaking of climate simulations, have spatial resolution that is generally too low for a good local representation of the atmosphere or the ocean. Therefore, downscaling methods are needed.
Dynamical downscaling is an option, with tools like Limited Area Models (MM5, WRF, Météo-France's Méso-nh, ...) that are forced at their lateral boundaries by low resolution fields (outputs from GCM's, analysis). Using LAMs is made difficult by (i) the need of accurate vegetation/land-use and topography data, (ii) the understanding and tuning of subgrid parameterizations schemes and (iii) the availability of numerical resources (particularly for climate downscaling).
An other way to downscale is by using statistical models built on relations between large scale and local climate. Shifting from one spatial resolution to another is not only from low to high resolution but also from high to low resolution, this is the upscaling. Upscaling methods use local data, proxies (ice cores, tree rings, ...) to reconstruct large scale climate evolution.
The SAMA's up/downscaling group is focused on understanding, developing and using statistical upscaling and downscaling tools. This page is dedicated to this research field at IPSL and is a link toward the up/downscaling scientific community.
- April 27th 2007, 2.30-4.00 PM -
Downscaling Reading Group meeting :
Tamara Salameh (LMD) presents Empirical downscaling of wind speed probability distributions
- April 26th 2007 - Conclusions summary of the 17th November 2006 survey on up/downscaling at IPSL. Link
- 1st March 2007 - Call for post-doctoral position at INRIA (in collaboration with LMD):
"Development of downscaling methodologies applied to wind" .
Please click here for details and online application.
- 17th November 2006 - call for post-doctoral position focused on downscaling and extreme values in the framework of RTN NICE :
"Statistical merging of geophysical data and downscaling of extremes" .
For more informations, please contact Paul-Antoine Michelangeli () or Philippe Naveau ().
Seminars, workshops, conferences
- 28th September 2006, 14h30 -
Petra Friedrichs (Meteorological Institute University of Bonn) Seminar :
Statistical down-scaling of extreme precipitation events using censored quantile regression & extreme value theory
- Mathieu Vrac's
home page with his works on downscaling.