IEEE Workshop on Remote Sensing of Atmospheric Aerosols, 2005.最新文献

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AEROCAN: the Canadian Sunphotometer Network 加拿大太阳光度计网络

IEEE Workshop on Remote Sensing of Atmospheric Aerosols, 2005. Pub Date : 2005-04-05 DOI: 10.1109/AERSOL.2005.1494146

J. Freemantle, N. O'Neill, A. Royer, B. McArthur, I. Abboud

{"title":"AEROCAN: the Canadian Sunphotometer Network","authors":"J. Freemantle, N. O'Neill, A. Royer, B. McArthur, I. Abboud","doi":"10.1109/AERSOL.2005.1494146","DOIUrl":"https://doi.org/10.1109/AERSOL.2005.1494146","url":null,"abstract":"Growing out of the 2-site BOREAS sunphotometer network of 1994, the current AEROCAN network comprises 12 stations with at least one site in each of Canada's major geographic regions. The network, a joint collaboration between the Universite de Sherbrooke and Meteorological Services of Canada, is a member of the much larger AERONET system of CIMEL sunphotometers. The overall AEROCAN objective is to provide a sampling density of columnar aerosol properties which are as representative as possible of national, regional and local variations across Canada. Most of the sites are rural, but several of the sites have been \"twined\" with an urban sunphotometer. A number of the AEROCAN sites are in the most northern regions of Canada, >55 degrees north latitude (Churchill, Kuujjuarapik, and Resolute Bay) with a new CIMEL and starphotometer to be located in Eureka (80/spl deg/N). Cimel sunphotometers have also been deployed for very short durations in support of regional air quality and trans-boundary flow studies. Over the last several years the AEROCAN network has generated about 1000 days of observations/year. The network goal is to increase the number of possible observation days by minimizing problems that limit data collection and transmission. The AEROCAN network is now being used to support satellite and airborne remote sensing projects, investigate cross border pollution issues, supplement LIDAR observations of aerosols and provide inputs to large scale aerosol transport models. While working within the AERONET protocols our group is experimenting with new methods to collect data on aerosol parameters including increasing optical depth observations to once every 4-5 minutes and near real-time assimilation of this information into air quality forecast models. The network will expand in the coming year with several new sites planned.","PeriodicalId":300217,"journal":{"name":"IEEE Workshop on Remote Sensing of Atmospheric Aerosols, 2005.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125388334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Solar radiometry studies of Tucson's Aspen fire smoke 图森阿斯彭大火烟雾的太阳辐射测量研究

IEEE Workshop on Remote Sensing of Atmospheric Aerosols, 2005. Pub Date : 2005-04-05 DOI: 10.1109/AERSOL.2005.1494145

K. Thome

{"title":"Solar radiometry studies of Tucson's Aspen fire smoke","authors":"K. Thome","doi":"10.1109/AERSOL.2005.1494145","DOIUrl":"https://doi.org/10.1109/AERSOL.2005.1494145","url":null,"abstract":"The Aspen Fire started on June 17, 2003 in the mountains north of Tucson, Arizona, and smoke from this fire was carried into the Tucson valley allowing its measurement by a 10-channel solar radiometer operated by the Optical Sciences Center at the University of Arizona. This ten-band, \"Reagan\" solar radiometer has been used as part of regular monitoring of aerosols since the late 1990s. This work is an extension of work first started in the 1970s in Tucson and continued through portions of the 1980s and early 1990s. The historical work is crucial as a reference point to compare measurements made prior to the smoke being blown into the Tucson valley to those in July when a marked shift in wind direction carried the smoke into the line of sight of the solar radiometer. Optical depths during the smoke event exceeded average clear-sky values for the months of June and July by more than a factor of two. The retrieved Angstrom coefficient also exceeded the average values by more than one-standard deviation of the average of the previous year's data. This larger than average coefficient indicates small-sized particles typical of smoke near the point of origin. Results from known cirrus-cloud cases show that the retrieved Angstrom coefficient cannot be attributed to ice clouds, giving further confidence in the conclusion of smoke. The results from the Aspen fire are also used for comparison with data in the October 2003 time frame that coincided with the passage of a high optical depth case attributed to forest fires in Southern California. Measurements from multiple solar radiometers indicate that while there may have been small-sized smoke particles, the results show that large-sized particles dominated the spectral transmittance. These large particles are typical of dust and cloud conditions often seen during October in the desert southwest, but could also be indicative of larger-sized smoke particles seen at large distances from the smoke origin.","PeriodicalId":300217,"journal":{"name":"IEEE Workshop on Remote Sensing of Atmospheric Aerosols, 2005.","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115595953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Aerosol retrieval over urban areas using spatial regression between V/NIR and MIR Hyperion channels 利用V/NIR和MIR Hyperion通道空间回归反演城市气溶胶

IEEE Workshop on Remote Sensing of Atmospheric Aerosols, 2005. Pub Date : 2004-09-15 DOI: 10.1117/12.560097

B. Gross, O. Ogunwuyi, F. Moshary, S. Ahmed, B. Cairns

{"title":"Aerosol retrieval over urban areas using spatial regression between V/NIR and MIR Hyperion channels","authors":"B. Gross, O. Ogunwuyi, F. Moshary, S. Ahmed, B. Cairns","doi":"10.1117/12.560097","DOIUrl":"https://doi.org/10.1117/12.560097","url":null,"abstract":"Determination of aerosol optical depth from satellite remote sensing measurements is extremely complex due to the large variability of aerosol optical properties. Significant simplification occurs when measurements are taken over water since the ocean reflection signal can be taken as negligible in the NIR. Unfortunately, over land, most of the signal can be attributed to ground reflectance. While conventional approaches look for \"dark\" pixels in an image to isolate aerosols, these pixels are subjected to increased noise. In this paper, we explore the feasibility of a regression approach utilizing correlations between the V/NIR and MIR channels to extract the aerosol reflection signal over urban areas. This approach is applied to hyperspectral high resolution Hyperion data where the aerosol reflectance signal is shown to agree very well with coincident Aeronet derived reflectance spectra. Comparisons between the regression technique and dark pixel thresholding clearly exhibit the improvement using regression methods. Finally, practical spatial resolution concerns are explored and specifications of the GOES-R imager are assessed.","PeriodicalId":300217,"journal":{"name":"IEEE Workshop on Remote Sensing of Atmospheric Aerosols, 2005.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133707650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

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