Dear collegues,
We call for data from automatic weather stations situated in the vicinity of mountain glaciers all over the world, to be included in the recently launched DoG project "Atmospheric Downscaling for Glaciated mountain environments" (http://acinn.uibk.ac.at/research/atmospheric-dynamics-ice-and-climate/projects/dog).
Data series considered by the DoG project include
- all variables required for process-based glacier mass modeling, in particular air temperature, relative humidity, wind speed, precipitation, and global radiation,
- at daily and preferably higher time resolutions,
- and of minimum 2 years record length.
Removal of unreliable data should ideally appear as gaps in the data series, especially if this concerns larger parts of the data.
The DoG project aims at the systematic development of multisite and multivariable statistical and simplified physics-based downscaling tools with a focus on the challenges encountered for data-sparse, glaciated mountain environments. These challenges include, for example, the general availability of only short and/or patchy observation series (typically few years records), and the considerable discrepancies between atmospheric numerical model and true topographies in mountain regions. The final targets of the DoG project are (i) a quantification of the skill of reanalysis data for glaciated mountain environments in different climates and geo-environmental settings, and (ii) to test and further develop suitable downscaling tools for systematically generating high-resolution, multisite and multivariable data series.
Glaciologists and climate scientists from around the world with interest in including their study site in the DoG experiment are invited to get in contact with Marlis.Hofer@uibk.ac.at or Johanna.Nemec@uibk.ac.at.
Regards,
Marlis Hofer and Johanna Nemec
Dr Marlis Hofer
Innrain 52f, 6020 Innsbruck, Austria
phone 0043-512-507-5465
Institute of Atmospheric and Cryospheric Sciences
University of Innsbruck
