Articles | Volume 17, issue 16
https://doi.org/10.5194/acp-17-9761-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-9761-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Aug 2017
Research article |
| 21 Aug 2017
On the spatio-temporal representativeness of observations
Department of Physics, University of Oxford, Parks road, OX1 3PU, UK
now at: Faculty of Earth and Life Sciences, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Svetlana Tsyro
Norwegian Meteorological Institute, P.O. Box 43 Blindern, Oslo, 0312, Norway
Edward Gryspeerdt
Institute for Meteorology, Universität Leipzig, Stephanstr. 3, 04103 Leipzig, Germany
now at: Space and Atmospheric Physics Group, Imperial College London, London, SW7 2AJ, UK
Daisuke Goto
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, 305-8506, Japan
Natalie Weigum
Department of Physics, University of Oxford, Parks road, OX1 3PU, UK
Michael Schulz
Norwegian Meteorological Institute, P.O. Box 43 Blindern, Oslo, 0312, Norway
Philip Stier
Department of Physics, University of Oxford, Parks road, OX1 3PU, UK
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Latest update: 20 Nov 2024
Short summary
We estimate representativeness errors in observations due to mismatching spatio-temporal sampling, on timescales of hours to a year and length scales of 50 to 200 km, for a variety of observing systems (in situ or remote sensing ground sites, satellites with imagers or lidar, etc.) and develop strategies to reduce them. This study is relevant to the use of observations in constructing satellite L3 products, observational intercomparison and model evaluation.
We estimate representativeness errors in observations due to mismatching spatio-temporal...
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