Search results

First 930 results for ”A.J. Frantzen en W.R. Raaff”

1. Evaluation of atmospheric fields from the ECMWF seasonal forecasts over a 15 year period

   Since 1997 the European Centre for Medium-Range Weather Forecasts (ECMWF) has made seasonal forec...

   GJ van Oldenborgh, MA Balmaseda, L Ferranti, TN Stockdale, DLT Anderson | Status: published | Journal: J. Climate | Volume: 18 | Year: 2005 | First page: 5188 | Last page: 5198

   Publication

2. Did the ECMWF seasonal forecast model outperform statistical ENSO forecast models over the last 15 years?

   The European Centre for Medium-Range Weather Forecasts (ECMWF) has made seasonal forecasts since ...

   GJ van Oldenborgh, MA Balmaseda, L Ferranti, TN Stockdale, DLT Anderson | Status: published | Journal: J. Climate | Volume: 18 | Year: 2005 | First page: 3240 | Last page: 3249 | doi: 10.1175/JCLI3420.1

   Publication

3. Is het ECMWF seizoensverwachtingenmodel beter dan een statistisch model?

   Al eeuwen lang proberen mensen het weer een paar maanden van te voren te voorspellen. Wordt het e...

   GJ van Oldenborgh, MA Balmaseda, L Ferranti, TN Stockdale, DLT Anderson | Journal: Meteorologica | Year: 2003 | First page: 28 | Last page: 33

   Publication

4. Global distribution of effective cloud fraction and cloud top pressure derived from oxygen A band spectra measured by the Global Ozone Monitoring Experment: Comparison to ISCCP data

   Satellite measurements of the Earth's reflected sunlight in the oxygen A band around 761 nm, as m...

   RBA Koelemeijer, P Stammes, JW Hovenier, J de Haan | Status: published | Journal: J. Geophys. Res. | Volume: 107 | Year: 2002 | First page: 4151 | doi: 10.1029/2001JD000840

   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

   Publication