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First 802 results for ” M Deeter”

1. The interaction of a Deep Western Boundary Current and the wind-driven gyres as a cause for low-frequency variability
   CA Katsman, SS Drijfhout, HA Dijkstra | Status: published | Journal: J. Phys. Oceanogr. | Volume: 31 | Year: 2001 | First page: 2321 | Last page: 2339 | doi: 10.1175/1520-0485(2001)031<2321:TIOADW>2.0.CO;2

   Publication

2. 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

3. Deep ocean sound speed characteristics passively derived from the ambient acoustic noise field

   The propagation of acoustic waves in the ocean strongly depends on the temperature. Low-frequency...

   Evers, Wapenaar, Heaney, Snellen | Status: published | Journal: Geophys. J. Int. | Volume: 210 | Year: 2017 | First page: 27 | Last page: 33 | doi: 10.1093/gji/ggx061

   Publication

4. Aerosol Absorption over Land Derived from the Ultra-Violet Aerosol Index by Deep Learning.

   Quantitative measurements of aerosol absorptive properties, e.g., the absorbing aerosol optical d...

   J. Sun, P. Veefkind, P. Van Velthoven, P. Levelt | Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Volume: 14 | Year: 2021 | First page: 9692 | Last page: 9710 | doi: 10.1109/JSTARS.2021.3108669

   Publication

5. Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods

   This paper aims to improve short-term forecasting of clouds to accelerate the usability of solar ...

   Dennis Knol, Fons de Leeuw, Jan Fokke Meirink, Valeria V. Krzhizhanovskaya | Year: 2021

   Publication