%0 Conference Paper
%A Schultz, Martin
%A Apweiler, Sander
%A Vogelsang, Jan
%A Hagemeier, Bjorn
%A Kleinert, Felix
%A Mallmann, Daniel
%T A Web Service Architecture for Objective Station Classification Purposes
%I IEEE
%M FZJ-2019-01447
%P 283 - 284
%D 2018
%X The Tropospheric Ozone Assessment Report (TOAR) has recently pioneered the use of global Earth Observation data to derive a globally consistent scheme for characterizing the local environment of stations measuring weather and atmospheric composition. Here, we are building on the TOAR concept and expand it to a set of web services, which will allow for a flexible, automated characterization of any point location through standardized REST APIs. These services shall be freely available to the community and thus pave the way for new concepts to analyze global monitoring data and evaluate numerical models.
%B 2018 IEEE 14th International Conference on e-Science (e-Science)
%C 29 Oct 2018 - 1 Nov 2018, Amsterdam (Netherlands)
Y2 29 Oct 2018 - 1 Nov 2018
M2 Amsterdam, Netherlands
%F PUB:(DE-HGF)8
%9 Contribution to a conference proceedings
%U <Go to ISI:>//WOS:000459856400043
%R 10.1109/eScience.2018.00051
%U https://juser.fz-juelich.de/record/860784