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@INPROCEEDINGS{Schultz:860784,
author = {Schultz, Martin and Apweiler, Sander and Vogelsang, Jan and
Hagemeier, Bjorn and Kleinert, Felix and Mallmann, Daniel},
title = {{A} {W}eb {S}ervice {A}rchitecture for {O}bjective
{S}tation {C}lassification {P}urposes},
publisher = {IEEE},
reportid = {FZJ-2019-01447},
pages = {283 - 284},
year = {2018},
abstract = {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.},
month = {Oct},
date = {2018-10-29},
organization = {2018 IEEE 14th International
Conference on e-Science (e-Science),
Amsterdam (Netherlands), 29 Oct 2018 -
1 Nov 2018},
cin = {JSC},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {512 - Data-Intensive Science and Federated Computing
(POF3-512) / Earth System Data Exploration (ESDE)},
pid = {G:(DE-HGF)POF3-512 / G:(DE-Juel-1)ESDE},
typ = {PUB:(DE-HGF)8},
UT = {WOS:000459856400043},
doi = {10.1109/eScience.2018.00051},
url = {https://juser.fz-juelich.de/record/860784},
}