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First 1329 results for ” M Trainer”

1. Future developments, next generation training methods
   H ter Pelkwijk, G Geertsema | Journal: The European Forecaster | Year: 2010

   Publication

2. An efficient training scheme for supermodels

   Weather and climate models have improved steadily over time as witnessed by objective skill score...

   Francine J. Schevenhoven, Frank M. Selten | Journal: Earth System Dynamics | Volume: 8 | Year: 2017 | First page: 429 | Last page: 438 | doi: https://doi.org/10.5194/esd-8-429-2017

   Publication

3. Evaluations of NOx and highly reactive VOC emission inventories in Texas and their implications for ozone plume simulations during the Texas Air Quality Study 2006
   SW Kim, SA McKeen, GJ Frost, SH Lee, M Trainer, A Richter, WM Angevine, E Atlas, L Bianco, KF Boersma, et al. | Status: published | Journal: Atm. Chem. Phys. | Year: 2012 | First page: 11361 | Last page: 11386 | doi: 10.5194/acp-11-11361-2011

   Publication

4. Himawari-8 aerosol optical depth (AOD) retrieval using a deep neural network trained using AERONET observations

   Spectral aerosol optical depth (AOD) estimation from satellite-measured top of atmosphere (TOA) r...

   L She, H Zhang, Z Li, G de Leeuw, B Huang | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | First page: 1 | Last page: 19 | doi: doi:10.3390/rs12244125

   Publication

5. Improving weather and climate predictions by training of supermodels

   Recent studies demonstrate that weather and climate predictions potentially improve by dynamicall...

   Francine Schevenhoven, Frank Selten, Alberto Carrassi, Noel Keenlyside | Journal: Earth System Dynamics | Volume: 10 | Year: 2019 | First page: 789 | Last page: 807 | doi: https://doi.org/10.5194/esd-10-789-2019

   Publication