國立虎尾科技大學 |

Particulate Optical Depth Retrievals over the Ocean from Collocated Lidar and Microwave Satellite Observations.

紀錄類型:	書目-語言資料,手稿 : 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.
面頁冊數:	1 online resource (109 pages)
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:	click for full text (PQDT)
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. - 1 online resource (109 pages)

Source: Dissertation Abstracts International, Volume: 79-08(E), Section: B.

Thesis (Ph.D.)--Stevens Institute of Technology, 2017.

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355743746Subjects--Topical Terms:

1179392
Atmospheric sciences.
Index Terms--Genre/Form:

554714
Electronic books.

Particulate Optical Depth Retrievals over the Ocean from Collocated Lidar and Microwave Satellite Observations.
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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.
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