scholarly journals Special Issue: Characterization of Crystal Growing Surface by "In-Situ Photon-Probing". Surface Vibrational Spectroscopy by Optical Nonlinear Effect.

Shinku ◽  
1993 ◽  
Vol 36 (9) ◽  
pp. 702-707
Author(s):  
Kazunari DOMEN ◽  
Akihide WADA ◽  
Chiaki HIROSE ◽  
Hajime SHIMIZU
Keyword(s):  
Vibrational Spectroscopy ◽  
Nonlinear Effect ◽  
Special Issue ◽  
Optical Nonlinear Effect

scholarly journals An overview of meso-scale aerosol processes, comparison and validation studies from DRAGON networks

2017 ◽  
Author(s):  
Brent N. Holben ◽  
Jhoon Kim ◽  
Itaru Sano ◽  
Sony Mukai ◽  
Thomas F. Eck ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Global Network ◽  
Special Issue ◽  
Airborne Measurements ◽  
The Past ◽  
Meso Scale ◽  
Aerosol Properties

Abstract. The AErosol RObotic NETwork (AERONET) program over the past 24 years has provided highly accurate remote sensing characterization of aerosol optical and physical properties for an increasingly extensive geographic distribution that includes all continents and many island sites. The measurements and retrievals from the AERONET global network have addressed satellite and model validation needs very well, but there have been challenges in making comparisons to similar parameters from in situ surface and airborne measurements. Additionally, with improved spatial and temporal satellite remote sensing of aerosols, there is a need for higher spatial resolution ground-based remote sensing networks. An effort to address this need resulted in a number of field campaign networks called Distributed Regional Aerosol Gridded Observation Networks (DRAGONs) that were designed to provide a database for in situ and remote sensing comparison and analysis of local to meso-scale variability of aerosol properties. This paper describes the networks that that have contributed and will continue to contribute to that body of research. The research presented in this special issue illustrates the diversity of topics that has resulted from the application of data from these networks.

Layer-by-Layer Characterization of a Model Biofuel Cell Anode by (in Situ) Vibrational Spectroscopy

2010 ◽  
Vol 115 (1) ◽  
pp. 310-316 ◽  
Author(s):  
Meikun Fan ◽  
Manuel Maréchal ◽  
Amanda Finn ◽  
David A. Harrington ◽  
Alexandre G. Brolo
Keyword(s):  
Vibrational Spectroscopy ◽  
Biofuel Cell ◽  
Layer By Layer ◽  
Cell Anode

scholarly journals An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks

2018 ◽  
Vol 18 (2) ◽  
pp. 655-671 ◽  
Author(s):  
Brent N. Holben ◽  
Jhoon Kim ◽  
Itaru Sano ◽  
Sonoyo Mukai ◽  
Thomas F. Eck ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Oceanic Island ◽  
Global Network ◽  
Mesoscale Variability ◽  
Special Issue ◽  
Airborne Measurements ◽  
The Past

Abstract. Over the past 24 years, the AErosol RObotic NETwork (AERONET) program has provided highly accurate remote-sensing characterization of aerosol optical and physical properties for an increasingly extensive geographic distribution including all continents and many oceanic island and coastal sites. The measurements and retrievals from the AERONET global network have addressed satellite and model validation needs very well, but there have been challenges in making comparisons to similar parameters from in situ surface and airborne measurements. Additionally, with improved spatial and temporal satellite remote sensing of aerosols, there is a need for higher spatial-resolution ground-based remote-sensing networks. An effort to address these needs resulted in a number of field campaign networks called Distributed Regional Aerosol Gridded Observation Networks (DRAGONs) that were designed to provide a database for in situ and remote-sensing comparison and analysis of local to mesoscale variability in aerosol properties. This paper describes the DRAGON deployments that will continue to contribute to the growing body of research related to meso- and microscale aerosol features and processes. The research presented in this special issue illustrates the diversity of topics that has resulted from the application of data from these networks.

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