Lars Bärring
Ph.D., Associate professor, Research scientist.

Lars Bärring
Contact, network and CV
- Email: lars.barring@smhi.se
- Phone +46 11-495 86 04
- Research Gate: Lars_Baerring
- Skype: lars.barring
- Lars Bärring, CV Pdf, 16.3 kB.
Publikationer
Fields of work
Evaluation of climate simulations in relation to observational and reanalysis data. Ensemble-based analyses of regional climate model data and applications for impact studies. Interaction with climate change impact scientists. Development of methods and tools for tailoring and dissemination of climate data.
Research Interests
- To what extent can climate models reproduce the observed climate?
- How can reanalysis data and ensembles of climate projections be combined to serve the climate impacts community?
- How can climate projections and reanalyses be tailored to generate useful climate services?
Special competences
Analysis of climate model output, comparison between models and observations, tailoring of climate indices for various applications.
Climate and Forecast Conventions version 1.12
Lars Bärring, Martin Raspaud
2024
Abstract
This document describes the CF conventions for climate and forecast metadata designed to promotethe processing and sharing of files created with the netCDF Application Programmer Interface[NetCDF]. The conventions define metadata that provide a definitive description of what the data ineach variable represents, and of the spatial and temporal properties of the data. This enables usersof data from different sources to decide which quantities are comparable, and facilitates buildingapplications with powerful extraction, regridding, and display capabilities.The CF conventions generalize and extend the COARDS conventions [COARDS]. The extensionsinclude metadata that provides a precise definition of each variable via specification of a standardname, describes the vertical locations corresponding to dimensionless vertical coordinate values,and provides the spatial coordinates of non-rectilinear gridded data. Since climate and forecastdata are often not simply representative of points in space/time, other extensions provide for thedescription of coordinate intervals, multidimensional cells and climatological time coordinates, andindicate how a data value is representative of an interval or cell. This standard also relaxes theCOARDS constraints on dimension order and specifies methods for reducing the size of datasets.
Proceedings of the 2024 CF Workshop
Lars Bärring
2024
Abstract
This document describes the CF conventions for climate and forecast metadata designed to promote the processing and sharing of files created with the netCDF Application Programmer Interface. The conventions define metadata that provide a definitive description of what the data in each variable represents, and of the spatial and temporal properties of the data. This enables users of data from different sources to decide which quantities are comparable, and facilitates building applications with powerful extraction, regridding, and display capabilities.
The CF conventions generalize and extend the COARDS conventions. The extensions include metadata that provides a precise definition of each variable via specification of a standard name, describes the vertical locations corresponding to dimensionless vertical coordinate values, and provides the spatial coordinates of non-rectilinear gridded data. Since climate and forecast data are often not simply representative of points in space/time, other extensions provide for the description of coordinate intervals, multidimensional cells and climatological time coordinates, and indicate how a data value is representative of an interval or cell. This standard also relaxes the COARDS constraints on dimension order and specifies methods for reducing the size of datasets.
Robust handling of extremes in quantile mapping - "Murder your darlings"
Peter Berg, Thomas Bosshard, Denica Bozhinova, Lars Bärring, Joakim Löw, Carolina Nilsson, Gustav Strandberg, Johan Södling, Johan Thuresson, Renate Wilcke, Wei Yang