Zobrazeno 1 - 3
of 3
pro vyhledávání: '"J. H. H. Rietjens"'
Autor:
A. Di Noia, O. P. Hasekamp, G. van Harten, J. H. H. Rietjens, J. M. Smit, F. Snik, J. S. Henzing, J. de Boer, C. U. Keller, H. Volten
Publikováno v:
Atmospheric Measurement Techniques, Vol 8, Iss 1, Pp 281-299 (2015)
In this paper, the use of a neural network algorithm for the retrieval of the aerosol properties from ground-based spectropolarimetric measurements is discussed. The neural network is able to retrieve the aerosol properties with an accuracy that is a
Externí odkaz:
https://doaj.org/article/283b4597d1bb45b5885e55c304503db0
Autor:
G. van Harten, J. de Boer, J. H. H. Rietjens, A. Di Noia, F. Snik, H. Volten, J. M. Smit, O. P. Hasekamp, J. S. Henzing, C. U. Keller
Publikováno v:
Atmospheric Measurement Techniques, Vol 7, Iss 12, Pp 4341-4351 (2014)
Characterization of atmospheric aerosols is important for understanding their impact on health and climate. A wealth of aerosol parameters can be retrieved from multi-angle, multi-wavelength radiance and polarization measurements of the clear sky. We
Externí odkaz:
https://doaj.org/article/0856ec8d19ac40cba9ddfe29fd905747
Publikováno v:
Atmospheric Measurement Techniques, Vol 7, Iss 10, Pp 3387-3398 (2014)
We present a comprehensive model that can be employed to describe and correct for degradation of (scan) mirrors and diffusers in satellite instruments that suffer from changing optical Ultraviolet to visible (UV–VIS) properties during their operati
Externí odkaz:
https://doaj.org/article/d40cff5c80d741758b2abe931c1ebb5a