Department Biogeochemical Integration, Max-Planck-Institute for Biogeochemistry, Hans-Knöll-Straße 10, Jena, Germany
Departamento de Ciências e Engenharia do Ambiente, DCEA, Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal
V.N. Sukachev Institute of Forest of the Siberian Branch of Russian Academy of Sciences – separated department of the KSC SB RAS, Akademgorodok 50/28, Krasnoyarsk, Russia
Alexey Vasilevich Panov
V.N. Sukachev Institute of Forest of the Siberian Branch of Russian Academy of Sciences – separated department of the KSC SB RAS, Akademgorodok 50/28, Krasnoyarsk, Russia
Martin Jung
Department Biogeochemical Integration, Max-Planck-Institute for Biogeochemistry, Hans-Knöll-Straße 10, Jena, Germany
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Total article views: 6,163 (including HTML, PDF, and XML)
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Satellite observations help interpret station measurements of local carbon, water, and energy exchange between the land surface and the atmosphere and are indispensable for simulations of the same in land surface models and their evaluation. We propose generalisable and efficient approaches to systematically ensure high quality and to estimate values in data gaps. We apply them to satellite data of surface reflectance and temperature with different resolutions at the stations.
Satellite observations help interpret station measurements of local carbon, water, and energy...
