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First 398 results for ”C Robles-Gonzalez”

1. The dual-field-of-view polarization lidar technique: a new concept in monitoring aerosol effects in liquid-water clouds – theoretical framework

   In a series of two articles, a novel, robust, and practicable lidar approach is presente...

   C Jimenez, A Ansman, R Engelmann, D Donovan, A Malinka, J Schmidt | Status: published | Journal: Atm. Chem. Phys. | Volume: 20 | Year: 2020 | First page: 15247 | Last page: 15263 | doi: https://doi.org/10.5194/acp-20-15247-2020

   Publication

2. The dual-field-of-view polarization lidar technique: a new concept in monitoring aerosol effects in liquid-water clouds – theoretical framework

   In a series of two articles, a novel, robust, and practicable lidar approach is presente...

   C Jimenez, A Ansman, R Engelmann, D Donovan, A Malinka, J Schmidt | Status: published | Journal: Atm. Chem. Phys. | Volume: 20 | Year: 2020 | First page: 15247 | Last page: 15263 | doi: https://doi.org/10.5194/acp-20-15247-2020

   Publication

3. The dual-field-of-view polarization lidar technique: a new concept in monitoring aerosol effects in liquid-water clouds – theoretical framework

   In a series of two articles, a novel, robust, and practicable lidar approach is presente...

   C Jimenez, A Ansman, R Engelmann, D Donovan, A Malinka, J Schmidt | Status: published | Journal: Atm. Chem. Phys. | Volume: 20 | Year: 2020 | First page: 15247 | Last page: 15263 | doi: https://doi.org/10.5194/acp-20-15247-2020

   Publication

4. The dual-field-of-view polarization lidar technique: a new concept in monitoring aerosol effects in liquid-water clouds – theoretical framework

   In a series of two articles, a novel, robust, and practicable lidar approach is presente...

   C Jimenez, A Ansman, R Engelmann, D Donovan, A Malinka, J Schmidt | Status: published | Journal: Atm. Chem. Phys. | Volume: 20 | Year: 2020 | First page: 15247 | Last page: 15263 | doi: https://doi.org/10.5194/acp-20-15247-2020

   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