scholarly journals Technical Note: Characterization of the new microSilicon diode detector

2019 ◽  
Vol 46 (9) ◽  
pp. 4257-4262 ◽  
Author(s):  
Ann‐Britt Schönfeld ◽  
Daniela Poppinga ◽  
Rafael Kranzer ◽  
Rudy Leon De Wilde ◽  
Kay Willborn ◽  
...  
2006 ◽  
Vol 6 (2) ◽  
pp. 2151-2174 ◽  
Author(s):  
G. P. Frank ◽  
U. Dusek ◽  
M. O. Andreae

Abstract. The static (parallel-plate thermal-gradient) diffusion chamber (SDC) was one of the first instruments designed to measure cloud condensation nuclei (CCN) concentrations as a function of supersaturation. It has probably also been the most widely used type of CCN counter. This paper describes the detailed experimental characterization of a SDC CCN counter, including calibration with respect to supersaturation and particle number concentration. In addition, we investigated the proposed effect of lowered supersaturation because of water vapor depletion with increasing particle concentration. The results obtained gives a larger understanding why and in which way it is necessary to calibrate the SDC CCN counter. The calibration method is described in detail as well. The method can, in parts, be used for calibrations also for other types of CCN counters. We conclude the following: 1) it is important to experimentally calibrate SDC CCN counters with respect to supersaturation, and not only base the supersaturation on the theoretical description of the instrument; 2) the number concentration calibration needs to be performed as a function of supersaturation, also for SDC CCN counter using the photographic technique; and 3) we observed no evidence that water vapor depletion lowered the supersaturation.


2019 ◽  
Vol 46 (11) ◽  
pp. 5152-5158
Author(s):  
Jarrad Begg ◽  
Sarah J. Alnaghy ◽  
Trent Causer ◽  
Thahabah Alharthi ◽  
Armia George ◽  
...  

2019 ◽  
Vol 14 (06) ◽  
pp. C06017-C06017
Author(s):  
T. Terao ◽  
A. Koike ◽  
K. Takagi ◽  
H. Morii ◽  
T. Okunoyama ◽  
...  

2020 ◽  
Vol 103 (1) ◽  
pp. 915-921
Author(s):  
Dario Calonzi ◽  
Alicia Romano ◽  
Valentina Monistero ◽  
Paolo Moroni ◽  
Mario Vittorio Luini ◽  
...  

1997 ◽  
Vol 21 (3) ◽  
pp. 391-397 ◽  
Author(s):  
Ian Y. Ch'en ◽  
Douglas S. Katz ◽  
R. Brooke Jeffrey ◽  
Bruce L. Daniel ◽  
King C. P. Li ◽  
...  

2007 ◽  
Vol 54 (6) ◽  
pp. 702-708 ◽  
Author(s):  
Rafael Amer ◽  
José Miguel Giménez
Keyword(s):  

2008 ◽  
Vol 9 (2) ◽  
pp. 536-543 ◽  
Author(s):  
Atish Waghmare ◽  
Yogesh Pore ◽  
Bhanudas Kuchekar

2010 ◽  
Vol 93 (12) ◽  
pp. 5996-5999 ◽  
Author(s):  
M. Orford ◽  
O. Tzamaloukas ◽  
C. Papachristoforou ◽  
D. Miltiadou

2016 ◽  
Author(s):  
Ben Kravitz ◽  
Douglas G. MacMartin ◽  
Philip J. Rasch ◽  
Hailong Wang

Abstract. We introduce system identification techniques to climate science wherein multiple dynamic input-output relationships can be simultaneously characterized in a single simulation. This method, involving multiple small perturbations (in space and time) of an input field while monitoring output fields to quantify responses, allows for identification of different timescales of climate response to forcing without substantially pushing the climate far away from a steady state. We use this technique to determine the steady state responses of low cloud fraction and latent heat flux to heating perturbations over 22 regions spanning Earth's oceans. We show that the response characteristics are similar to those of step-change simulations, but in this new method, the responses for 22 regions can be characterized simultaneously. Furthermore, we can estimate the timescale over which the steady state response emerges. The proposed methodology could be useful for a wide variety of purposes in climate science, including characterization of teleconnections and uncertainty quantification to identify the effects of climate model tuning parameters.


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