This time it will be organized together with the 3rd conference on spatial interpolation techniques in climatology and meteorology. As always it will be held in Budapest, Hungary. It will take place from the 12th to the 16 May 2014. The pre-registration and abstract submission deadline is 30 March 2014.
[UPDATE: There is now a homepage with all the details about the seminar.]
The announcement is available as PDF. Some excerpts:
Background
At present we plan to organize the Homogenization Seminar and the Interpolation Conference together considering certain theoretical and practical aspects. Theoretically there is a strong connection between these topics since the homogenization and quality control procedures need spatial statistics and interpolation techniques for spatial comparison of data. On the other hand the spatial interpolation procedures (e.g. gridding) need homogeneous, high quality data series to obtain good results, as it was performed in the Climate of Carpathian Region project led by OMSZ and supported by JRC. The main purpose of the project was to produce a gridded database for the Carpathian region based on homogenized data series. The experiences of this project may be useful for the implementation of gridded databases.Highlights and Call for Papers
The homogeneous data series with high quality and the spatial interpolation are indispensable for the climatological and meteorological examinations. The primary goal of this meeting is to promote the discussion about the methodological and theoretical aspects.The main topics of homogenization and quality control are the following:
- Methods for homogenization and quality control of monthly data series
- Spatial comparison of series, inhomogeneity detection, correction of series
- Methods for homogenization and quality control of daily data series, examination of parallel measurements
- Relation of monthly and daily homogenization, mathematical formulation of homogenization for climate data series
- Theoretical evaluation and benchmark for methods, validation statistics
- Applications of different homogenization and quality control methods, experiences with different meteorological elements
The main topics of spatial interpolation are the following:
- Temporal scales: from synoptic situations to climatological mean values
- Interpolation formulas and loss functions depending on the spatial probability distribution of climate variables
- Estimation and modelling of statistical parameters (e.g.: spatial trend, covariance or variogram) for interpolation formulas using spatiotemporal sample and auxiliary model variables (topography)
- Use of auxiliary co-variables, background information (e.g.: dynamical model results, satellite, radar data) for spatial interpolation
- Applications of different interpolation methods for the meteorological and climatological fields
- Gridded databases, digital climate atlases, results of the CARPATCLIM project
Related posts
- Highlights EUMETNET Data Management Workshop 2013
- Proceedings of the Seventh Seminar for Homogenization and Quality Control in Climatological Databases published
- Five statistically interesting problem in homogenization of climate data
- Introduction to series on weather variability and extreme events
- Future research in homogenisation of climate data – EMS 2012 in Poland
- HUME: Homogenisation, Uncertainty Measures and Extreme weather
- A database with daily climate data for more reliable studies of changes in extreme weather
No comments:
Post a Comment
Comments are welcome, but comments without arguments may be deleted. Please try to remain on topic. (See also moderation page.)
I read every comment before publishing it. Spam comments are useless.
This comment box can be stretched for more space.