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Remote Sensing of Planetary Boundary Layer Height and Particulate Matter 2.5 in New York State Mesonet Network.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Remote Sensing of Planetary Boundary Layer Height and Particulate Matter 2.5 in New York State Mesonet Network./
作者:	Shrestha, Bhupal .
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	118 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-07, Section: B.
Contained By:	Dissertations Abstracts International81-07B.
標題:	Atmospheric sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27670969
ISBN:	9781392441923

Remote Sensing of Planetary Boundary Layer Height and Particulate Matter 2.5 in New York State Mesonet Network.
Shrestha, Bhupal .

Remote Sensing of Planetary Boundary Layer Height and Particulate Matter 2.5 in New York State Mesonet Network. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 118 p.

Source: Dissertations Abstracts International, Volume: 81-07, Section: B.

Thesis (Ph.D.)--State University of New York at Albany, 2019.

This item must not be sold to any third party vendors.

The planetary boundary layer (PBL) height and particulate matter 2.5 (PM2.5) have strong influence on local weather and air quality that directly affect human life. The continuous monitoring of these two parameters with high vertical and temporal resolution are very important for weather and air quality studies and forecasting models. In this study, a wavelet covariance transform (WCT) method and nonlinear regression model are developed and applied for the retrieval of PBL height and PM2.5 profile respectively.The WCT along with two other lidar methods including gradient and variance methods are applied to Windcube Doppler lidar data, to retrieve the PBL height. The Heffter method applied to radiosonde data and parcel method applied to microwave radiometer data are used as reference measurement of the PBL heights to optimize the WCT parameters: dilation and threshold value. It is shown that the optimized WCT method is able to retrieve PBL heights in different weather conditions and throughout the year. Three case studies of the PBL observations at two different New York State Mesonet (NYSM) sites (Queens & Buffalo) are presented and compared against the PBL height retrieved from the radiosonde and the High Resolution Rapid Refresh (HRRR) model. Similarly, the statistical analysis of one-year of daily maximum PBL height and its mean growth rates are also presented from the selected two sites. At both sites, a seasonal cycle of the PBL height is observed and the PBL height and the growth rate at Queens are found to be higher than that of Buffalo.The nonlinear regression model combines the Windcube Doppler lidar data and the meteorological data (temperature, relative humidity and wind speed) from the NYSM standard sites and microwave radiometer to retrieve surface and vertical profile of PM2.5 for the first time to the author's knowledge. The model is applied to three different NYSM sites namely Queens, Albany and Buffalo and tested against the surface measurement from the New York State Department of Environmental Conservation (NYSDEC) PM monitoring sites. Overall, the nonlinear model is able to explain around 45% of the variability of hourly PM2.5 at Queens, 49% at Buffalo and 44% at Albany, which is an improvement of 45%, 26% and 52% at the respective sites when compared to a linear model that assumes a simple linear relationship between PM2.5 and the Doppler lidar backscatter data. Furthermore, the performance of the model improves by 41% at Queens and 36% at Buffalo during the warm months (May to September) when compared against the cold months (October to April). The mean absolute percent error (MAPE) of the nonlinear model are found to be 23.24% at Queens and 26.15% at Buffalo during the warm months while the MAPE are found to be above 40% at all three sites during the cold months. Because of the lack of independent PM2.5 profile measurement at those tested sites, the retrieved profile results are compared against The Community Multiscale Air Quality Modeling (CMAQ) developed by the U.S. Environmental Protection Agency (EPA) and further compared for consistency with other NYSM sites that are in the vicinity under the similar atmospheric conditions. The nonlinear model is able to capture the vertical structure of the PM2.5 profile that is consistent with the CMAQ model and that from the nearby NYSM sites.This study demonstrates a novel application of the Doppler lidar and the microwave radiometer in the remote sensing of the PBL height and surface as well as vertical profile of PM2.5 that are currently not available from these sensors. The retrieval methods for the PBL and PM2.5 are the prototype for the development of the first real-time operational PBL and PM2.5 product on regional scale such as New York State.

ISBN: 9781392441923Subjects--Topical Terms:

3168354
Atmospheric sciences.
Subjects--Index Terms:

Doppler lidar

Remote Sensing of Planetary Boundary Layer Height and Particulate Matter 2.5 in New York State Mesonet Network.
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100 1 $a Shrestha, Bhupal . $3 3550425
245 1 0 $a Remote Sensing of Planetary Boundary Layer Height and Particulate Matter 2.5 in New York State Mesonet Network.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 118 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-07, Section: B.
500 $a Advisor: Joseph, Everette.
502 $a Thesis (Ph.D.)--State University of New York at Albany, 2019.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a The planetary boundary layer (PBL) height and particulate matter 2.5 (PM2.5) have strong influence on local weather and air quality that directly affect human life. The continuous monitoring of these two parameters with high vertical and temporal resolution are very important for weather and air quality studies and forecasting models. In this study, a wavelet covariance transform (WCT) method and nonlinear regression model are developed and applied for the retrieval of PBL height and PM2.5 profile respectively.The WCT along with two other lidar methods including gradient and variance methods are applied to Windcube Doppler lidar data, to retrieve the PBL height. The Heffter method applied to radiosonde data and parcel method applied to microwave radiometer data are used as reference measurement of the PBL heights to optimize the WCT parameters: dilation and threshold value. It is shown that the optimized WCT method is able to retrieve PBL heights in different weather conditions and throughout the year. Three case studies of the PBL observations at two different New York State Mesonet (NYSM) sites (Queens & Buffalo) are presented and compared against the PBL height retrieved from the radiosonde and the High Resolution Rapid Refresh (HRRR) model. Similarly, the statistical analysis of one-year of daily maximum PBL height and its mean growth rates are also presented from the selected two sites. At both sites, a seasonal cycle of the PBL height is observed and the PBL height and the growth rate at Queens are found to be higher than that of Buffalo.The nonlinear regression model combines the Windcube Doppler lidar data and the meteorological data (temperature, relative humidity and wind speed) from the NYSM standard sites and microwave radiometer to retrieve surface and vertical profile of PM2.5 for the first time to the author's knowledge. The model is applied to three different NYSM sites namely Queens, Albany and Buffalo and tested against the surface measurement from the New York State Department of Environmental Conservation (NYSDEC) PM monitoring sites. Overall, the nonlinear model is able to explain around 45% of the variability of hourly PM2.5 at Queens, 49% at Buffalo and 44% at Albany, which is an improvement of 45%, 26% and 52% at the respective sites when compared to a linear model that assumes a simple linear relationship between PM2.5 and the Doppler lidar backscatter data. Furthermore, the performance of the model improves by 41% at Queens and 36% at Buffalo during the warm months (May to September) when compared against the cold months (October to April). The mean absolute percent error (MAPE) of the nonlinear model are found to be 23.24% at Queens and 26.15% at Buffalo during the warm months while the MAPE are found to be above 40% at all three sites during the cold months. Because of the lack of independent PM2.5 profile measurement at those tested sites, the retrieved profile results are compared against The Community Multiscale Air Quality Modeling (CMAQ) developed by the U.S. Environmental Protection Agency (EPA) and further compared for consistency with other NYSM sites that are in the vicinity under the similar atmospheric conditions. The nonlinear model is able to capture the vertical structure of the PM2.5 profile that is consistent with the CMAQ model and that from the nearby NYSM sites.This study demonstrates a novel application of the Doppler lidar and the microwave radiometer in the remote sensing of the PBL height and surface as well as vertical profile of PM2.5 that are currently not available from these sensors. The retrieval methods for the PBL and PM2.5 are the prototype for the development of the first real-time operational PBL and PM2.5 product on regional scale such as New York State.
590 $a School code: 0668.
650 4 $a Atmospheric sciences. $3 3168354
650 4 $a Remote sensing. $3 535394
653 $a Doppler lidar
653 $a Microwave radiometer
653 $a PBL
653 $a PM2.5
653 $a Remote sensing
690 $a 0725
690 $a 0799
710 2 $a State University of New York at Albany. $b Physics. $3 1676069
773 0 $t Dissertations Abstracts International $g 81-07B.
790 $a 0668
791 $a Ph.D.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27670969