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First 1909 results for ” MR Schoeberl”

1. An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation

   To better understand and characterize current uncertainties in the important observational constr...

   N Schutgens, AM Sayer, A Heckel, C Hsu, H Jethva, G de Leeuw, Et al. | Status: published | Journal: Atm. Chem. Phys. | Volume: 20 | Year: 2020 | First page: 12431 | Last page: 12457 | doi: https://doi.org/10.5194/acp-20-12431-2020

   Publication

2. Satellite Observations of PM2.5 Changes and Driving Factors based Forecasting over China 2000-2025

   In China, atmospheric fine particulate matter (PM2.5) pollution is a challenging environmental pr...

   Y Zhang, Z Li, W Chang, Y Zhang, G de Leeuw, JJ Schauer | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | First page: 1 | Last page: 20 | doi: doi:10.3390/rs12162518

   Publication

3. How Gulf-Stream SST-fronts influence Atlantic winter storms: Results from a downscaling experiment with HARMONIE to the role of modified latent heat fluxes and low-level baroclinicity

   The strong horizontal gradients in sea surface temperature (SST) of the Atlantic Gulf Stream exer...

   H de Vries, S Scher, RJ Haarsma, SS Drijfhout, AJ van Delden | Status: published | Journal: Clim. Dyn. | Year: 2018 | doi: 10.1007/s00382-018-4486-7

   Publication

4. A Reappraisal of the Thermal Growing Season Length across Europe

   Growing season length (GSL) indices derived from surface air temperature are frequently used in c...

   RC Cornes, G van der Schrier, AA Squintu | Status: published | Journal: Int. J. Climatology | Year: 2018 | doi: doi:10.1002/joc.5913

   Publication

5. Statistical Postprocessing of Wind Speed Forecasts Using Convolutional Neural Networks

   Current statistical postprocessing methods for probabilistic weather forecasting are not capable ...

   Veldkamp, S., Whan, K., Dirksen, S., and Schmeits, M. | Journal: Monthly Weather Review | Volume: 149 | Year: 2021 | First page: 1141 | Last page: 1152 | doi: 10.1175/MWR-D-20-0219.1

   Publication