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000860784 037__ $$aFZJ-2019-01447
000860784 1001_ $$0P:(DE-Juel1)6952$$aSchultz, Martin$$b0$$ufzj
000860784 1112_ $$a2018 IEEE 14th International Conference on e-Science (e-Science)$$cAmsterdam$$d2018-10-29 - 2018-11-01$$wNetherlands
000860784 245__ $$aA Web Service Architecture for Objective Station Classification Purposes
000860784 260__ $$bIEEE$$c2018
000860784 300__ $$a283 - 284
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000860784 520__ $$aThe 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.
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000860784 7001_ $$0P:(DE-Juel1)164455$$aApweiler, Sander$$b1$$ufzj
000860784 7001_ $$0P:(DE-Juel1)173676$$aVogelsang, Jan$$b2$$ufzj
000860784 7001_ $$0P:(DE-Juel1)132123$$aHagemeier, Bjorn$$b3$$ufzj
000860784 7001_ $$0P:(DE-Juel1)176602$$aKleinert, Felix$$b4$$ufzj
000860784 7001_ $$0P:(DE-Juel1)132181$$aMallmann, Daniel$$b5$$ufzj
000860784 773__ $$a10.1109/eScience.2018.00051
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000860784 9141_ $$y2019
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