語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Particulate Optical Depth Retrievals...
~
Tang, Qiang.
FindBook
Google Book
Amazon
博客來
Particulate Optical Depth Retrievals over the Ocean from Collocated Lidar and Microwave Satellite Observations.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Particulate Optical Depth Retrievals over the Ocean from Collocated Lidar and Microwave Satellite Observations./
作者:
Tang, Qiang.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:
109 p.
附註:
Source: Dissertation Abstracts International, Volume: 79-08(E), Section: B.
Contained By:
Dissertation Abstracts International79-08B(E).
標題:
Atmospheric sciences. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10682263
ISBN:
9780355743746
Particulate Optical Depth Retrievals over the Ocean from Collocated Lidar and Microwave Satellite Observations.
Tang, Qiang.
Particulate Optical Depth Retrievals over the Ocean from Collocated Lidar and Microwave Satellite Observations.
- Ann Arbor : ProQuest Dissertations & Theses, 2017 - 109 p.
Source: Dissertation Abstracts International, Volume: 79-08(E), Section: B.
Thesis (Ph.D.)--Stevens Institute of Technology, 2017.
Retrievals of Aerosol/Cloud Optical Depth (AOD/COD) from backscatter measurements of the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument deployed on the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite rely on a single global mean extinction-to-backscatter ratio, also known as the lidar ratio. However, the lidar ratio depends on the microphysical properties of the particulates. It has been shown that on a global basis there is an uncertainty of about 20--30% in lidar ratios adopted in CALIOP retrievals, which leads to large uncertainties in AOD/COD retrievals. In this study, we take advantage of near simultaneous (almost "same" time and location) lidar (CALIOP) and microwave (wind speed) observations to develop a new approach, that does not rely on an assumed lidar ratio, to infer AOD/COD over the open ocean. Instead the AOD/COD is inferred directly from backscatter measurements obtained from the CALIOP lidar in conjunction with collocated sea surface wind speed data obtained from the Advanced Microwave Scanning Radiometer (AMSR). This new method is based on an ocean surface reflectance model relating wind-driven wave slope variances to sea surface wind speeds. To properly apply this method, the impact of multiple scattering between the ocean surface and the particulates should be taken into account. We take advantage of the 532 nm cross polarization feature of CALIOP and introduce an empirical method based on the depolarization change at the ocean surface to correct for potential bias in ocean surface backscatter caused by whitecaps, bubbles, foam, and multiple scattering. After the correction, AOD/COD values are derived with this method for individual CALIOP profiles obtained over the ocean. From a comparison of AOD/COD retrievals obtained by our new method and by other available retrieval methods, we found that our method can be used to improve the standard CALIOP products and be applied to future space-borne active remote sensor data.
ISBN: 9780355743746Subjects--Topical Terms:
3168354
Atmospheric sciences.
Particulate Optical Depth Retrievals over the Ocean from Collocated Lidar and Microwave Satellite Observations.
LDR
:03057nmm a2200313 4500
001
2161861
005
20181002081325.5
008
190424s2017 ||||||||||||||||| ||eng d
020
$a
9780355743746
035
$a
(MiAaPQ)AAI10682263
035
$a
(MiAaPQ)stevens:10431
035
$a
AAI10682263
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Tang, Qiang.
$3
1900447
245
1 0
$a
Particulate Optical Depth Retrievals over the Ocean from Collocated Lidar and Microwave Satellite Observations.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2017
300
$a
109 p.
500
$a
Source: Dissertation Abstracts International, Volume: 79-08(E), Section: B.
500
$a
Advisers: Knut Stamnes; Alan Blumberg.
502
$a
Thesis (Ph.D.)--Stevens Institute of Technology, 2017.
520
$a
Retrievals of Aerosol/Cloud Optical Depth (AOD/COD) from backscatter measurements of the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument deployed on the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite rely on a single global mean extinction-to-backscatter ratio, also known as the lidar ratio. However, the lidar ratio depends on the microphysical properties of the particulates. It has been shown that on a global basis there is an uncertainty of about 20--30% in lidar ratios adopted in CALIOP retrievals, which leads to large uncertainties in AOD/COD retrievals. In this study, we take advantage of near simultaneous (almost "same" time and location) lidar (CALIOP) and microwave (wind speed) observations to develop a new approach, that does not rely on an assumed lidar ratio, to infer AOD/COD over the open ocean. Instead the AOD/COD is inferred directly from backscatter measurements obtained from the CALIOP lidar in conjunction with collocated sea surface wind speed data obtained from the Advanced Microwave Scanning Radiometer (AMSR). This new method is based on an ocean surface reflectance model relating wind-driven wave slope variances to sea surface wind speeds. To properly apply this method, the impact of multiple scattering between the ocean surface and the particulates should be taken into account. We take advantage of the 532 nm cross polarization feature of CALIOP and introduce an empirical method based on the depolarization change at the ocean surface to correct for potential bias in ocean surface backscatter caused by whitecaps, bubbles, foam, and multiple scattering. After the correction, AOD/COD values are derived with this method for individual CALIOP profiles obtained over the ocean. From a comparison of AOD/COD retrievals obtained by our new method and by other available retrieval methods, we found that our method can be used to improve the standard CALIOP products and be applied to future space-borne active remote sensor data.
590
$a
School code: 0733.
650
4
$a
Atmospheric sciences.
$3
3168354
650
4
$a
Climate change.
$2
bicssc
$3
2079509
650
4
$a
Remote sensing.
$3
535394
690
$a
0725
690
$a
0404
690
$a
0799
710
2
$a
Stevens Institute of Technology.
$b
Interdisciplinary.
$3
3349829
773
0
$t
Dissertation Abstracts International
$g
79-08B(E).
790
$a
0733
791
$a
Ph.D.
792
$a
2017
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10682263
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9361408
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入