Measuring the Engineering-Relevant Aspects of Non-Synoptic Wind Hazards

Author(s):  
John L. Schroeder

This article reviews the techniques and approaches historically employed to measure non-synoptic wind storms. While most of these efforts have originated from the atmospheric science community, the focus of this article relates to meeting the requirements of the engineering community. While the recognition of the importance of these non-synoptic wind system events is increasing, their engineering-relevant characteristics are still largely unknown. While gaps in knowledge concerning the engineering-relevant aspects of non-synoptic wind systems are plentiful, focused application of high-resolution research instrumentation offers hope to remove many of these unknowns. Future engineering-oriented measurement campaigns will likely make use of both traditional anemometry and remote sensing technologies to document the characteristics of non-synoptic wind systems.

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Luca Aluigi

ToThe Editor,Journal of Atmospheric Science ResearchSir/Madam,SUBJECT: Withdrawal of Article from your journal <High-Resolution Radiometer for Remote Sensing of Solar Flare Activity from Low Earth Orbit Satellites>2.  I/We wish to withdraw my/our Article which has been Submitted/Submitted and accepted at your end/ Submitted, Accepted and Published by you3. The Details of my/our Article are as below:Article TitleHigh-Resolution Radiometer for Remote Sensing of Solar Flare Activity from Low Earth Orbit SatellitesDate of Submission20/12/2018Status of article (Under review/Accepted/Published)PublishedIn case the Article is already published, the Issue & Volume of the JournalVol 1, No 1 (2018)Reason(s) for Withdrawal of ArticleThe material that I used has been created in collaboration with other authors, to whom I did not request permission. This was due not to malicious intentions, but due to my superficial behavior induced by the extreme hurry with which I had to prepare the article.Name of the Corresponding AuthorLuca AluigiName(s) of the Other Author(s) (If any)Signature(s) of the Author(s)affirming that he/they agree with the Corresponding Author in requesting the Withdrawal/Retraction of this Article12 4.  Disclaimer:I / I and my Co-Authors have carefully read the ‘Article Withdrawal and Retraction Policy (the Policy)’ of the Journal and agree to abide by the same.The Decision of the Editorial Board is final and shall be binding on me/us. The legality of the Decision will not be challenged anytime in any Court of Law.Submitted for the consideration of the Editor.Luca Aluigi  Date: 25/02/2019


2002 ◽  
Vol 8 (1) ◽  
pp. 15-22
Author(s):  
V.N. Astapenko ◽  
◽  
Ye.I. Bushuev ◽  
V.P. Zubko ◽  
V.I. Ivanov ◽  
...  

The concept of exposome has received increasing discussion, including the recent Special Issue of Science –"Chemistry for Tomorrow's Earth,” about the feasibility of using high-resolution mass spectrometry to measure exposome in the body, and tracking the chemicals in the environment and assess their biological effect. We discuss the challenges of measuring and interpreting the exposome and suggest the survey on the life course history, built and ecological environment to characterize the sample of study, and in combination with remote sensing. They should be part of exposomics and provide insights into the study of exposome and health.


1994 ◽  
Vol 29 (1-2) ◽  
pp. 135-144 ◽  
Author(s):  
C. Deguchi ◽  
S. Sugio

This study aims to evaluate the applicability of satellite imagery in estimating the percentage of impervious area in urbanized areas. Two methods of estimation are proposed and applied to a small urbanized watershed in Japan. The area is considered under two different cases of subdivision; i.e., 14 zones and 17 zones. The satellite imageries of LANDSAT-MSS (Multi-Spectral Scanner) in 1984, MOS-MESSR(Multi-spectral Electronic Self-Scanning Radiometer) in 1988 and SPOT-HRV(High Resolution Visible) in 1988 are classified. The percentage of imperviousness in 17 zones is estimated by using these classification results. These values are compared with the ones obtained from the aerial photographs. The percent imperviousness derived from the imagery agrees well with those derived from aerial photographs. The estimation errors evaluated are less than 10%, the same as those obtained from aerial photographs.


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