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First 1693 results for ” Groenemeijer”

1. 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

2. An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2

   Global tropospheric ozone reanalyses constructed using different state-of-the-art satellite data ...

   V Huijnen, K Miyazaki, J Flemming, A Inness, T Sekiya, MG Schultz | Status: published | Journal: Geoscientific Model Development | Year: 2020 | First page: 1513 | Last page: 1544 | doi: https://doi.org/10.5194/gmd-13-1513-2020

   Publication

3. Spatial and temporal evaluation of radar rainfall nowcasting techniques on 1,533 events

   Radar rainfall nowcasting, the process of statistically extrapolating the most recent rainfall ob...

   RO Imhoff, CC Brauer, A Overeem, AH Weerts, R Uijlenhoet | Status: published | Journal: Water Resour. Res. | Volume: 56 | Year: 2020 | doi: 10.1029/2019WR026723

   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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