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First 2762 results for ” Rijksuniversiteit Groningen”

1. Pathfinder: Applying graph theory for consistent tracking of daytime mixed layer height with backscatter lidar

   The height of the atmospheric boundary layer or mixing layer is an important parameter for unders...

   M de Bruine, A Apituley, , DP Donovan, H Klein Baltink | Status: submitted | Journal: Atmospheric Measurement Techniques | Year: 2017 | doi: doi:10.5194/amt-2016-327

   Publication

2. Spatial extrapolation of lysimeter results using thermal infrared imaging

   Measuring evaporation (E) with lysimeters is costly and prone to numerous errors. By comparing th...

   BR Voortman, FC Bosveld, RP Bartholomeus, JPM Witte | Status: published | Journal: J. Hydrol. | Volume: 543 | Year: 2016 | First page: 230 | Last page: 241 | doi: 10.1016/j.jhydrol.2016.09.064

   Publication

3. NRLMSIS 2.0: A whole‐atmosphere empirical model of temperature and neutral species densities

   NRLMSIS® 2.0 is an empirical atmospheric model that extends from the ground to the exobase and de...

   JT Emmert, E Doornbos | Status: published | Journal: J. Geophys. Res. | Year: 2020 | doi: 10.1029/2020EA001321

   Publication

4. The benefits of global high resolution for climate simulation process understanding and the enabling of stakeholder decisions at the regional scale

   The time scales of the Paris Climate Agreement indicate urgent action is required on climate poli...

   MJ Roberts, PL Vidale, C Senior, HT Hewitt, C Bates, S Berthou, P Chang, HM Christensen, S Danilov, ME Demory, SM Griffies, RJ Haarsma, T Jung, G Martin, S Minobe | Status: published | Journal: Bull. Amer. Meteor. Soc. | Year: 2018 | doi: 10.1175/BAMS-D-15-00320.1

   Publication

5. Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method

   The Fine Mode Fraction (FMF) of atmospheric aerosol is very important for environment and climate...

   X Chen, G de Leeuw, A Arola, S Liu, Y Liu, K Zhang | Status: published | Journal: Remote Sens. Environ. | Volume: 247 | Year: 2020 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1016/j.rse.2020.112006

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