東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Biases in satellite-derived temperat...

Chen, Hong.

Linked to FindBook

Google Book

Amazon

博客來

Biases in satellite-derived temperature trends due to orbital drift, orbital differences and their corrections.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Biases in satellite-derived temperature trends due to orbital drift, orbital differences and their corrections./
Author:	Chen, Hong.
Description:	100 p.
Notes:	Source: Masters Abstracts International, Volume: 54-05.
Contained By:	Masters Abstracts International54-05(E).
Subject:	Climate change. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1590238
ISBN:	9781321791402

Biases in satellite-derived temperature trends due to orbital drift, orbital differences and their corrections.
Chen, Hong.

Biases in satellite-derived temperature trends due to orbital drift, orbital differences and their corrections. - 100 p.

Source: Masters Abstracts International, Volume: 54-05.

Thesis (M.S.)--The Florida State University, 2015.

The measurements from Microwave Sounding Unit (MSU) and Advanced Microwave Sounding Unit-A (AMSU-A) have been extensively used for atmospheric temperature trend study during last several decades. The existences of inter-sensor biases and orbital drift, orbital differences among different satellites are two major challenges for climate study using long-term time series of satellite measurements. In this study, the impacts of orbital drift and orbital differences of satellites on AMSU-A derived temperature trends over Amazon rainforest are investigated. The AMSU-A near-nadir observations from NOAA-15, NOAA-18, NOAA-19, and MetOp-A during 1998 - 2014 are employed. The double difference method is firstly applied to obtain the estimates of inter-sensor biases for each paired AMSU-A instruments, in which NOAA-18 is used as a reference satellite. The inter-calibrated observations from the four satellites mentioned above are used to calculate monthly mean diurnal cycles of brightness temperature for each of the 15 AMSU-A channels. The diurnal correction method is then applied to all AMSU-A data using the estimated diurnal-cycle variations in order to obtain corrected data valid at the same local time. Finally, it is shown that the inter-sensor bias correction and diurnal correction have significant impacts on the AMSU-A derived long-term atmospheric temperature trends.

ISBN: 9781321791402Subjects--Topical Terms:

2079509
Climate change.

Biases in satellite-derived temperature trends due to orbital drift, orbital differences and their corrections.
LDR:02282nmm a2200289 4500 001 2115791
005 20170417071244.5
008 180830s2015 ||||||||||||||||| ||eng d
020 $a 9781321791402
035 $a (MiAaPQ)AAI1590238
035 $a AAI1590238
040 $a MiAaPQ $c MiAaPQ
100 1 $a Chen, Hong. $3 757561
245 1 0 $a Biases in satellite-derived temperature trends due to orbital drift, orbital differences and their corrections.
300 $a 100 p.
500 $a Source: Masters Abstracts International, Volume: 54-05.
500 $a Adviser: Ming Cai.
502 $a Thesis (M.S.)--The Florida State University, 2015.
520 $a The measurements from Microwave Sounding Unit (MSU) and Advanced Microwave Sounding Unit-A (AMSU-A) have been extensively used for atmospheric temperature trend study during last several decades. The existences of inter-sensor biases and orbital drift, orbital differences among different satellites are two major challenges for climate study using long-term time series of satellite measurements. In this study, the impacts of orbital drift and orbital differences of satellites on AMSU-A derived temperature trends over Amazon rainforest are investigated. The AMSU-A near-nadir observations from NOAA-15, NOAA-18, NOAA-19, and MetOp-A during 1998 - 2014 are employed. The double difference method is firstly applied to obtain the estimates of inter-sensor biases for each paired AMSU-A instruments, in which NOAA-18 is used as a reference satellite. The inter-calibrated observations from the four satellites mentioned above are used to calculate monthly mean diurnal cycles of brightness temperature for each of the 15 AMSU-A channels. The diurnal correction method is then applied to all AMSU-A data using the estimated diurnal-cycle variations in order to obtain corrected data valid at the same local time. Finally, it is shown that the inter-sensor bias correction and diurnal correction have significant impacts on the AMSU-A derived long-term atmospheric temperature trends.
590 $a School code: 0071.
650 4 $a Climate change. $2 bicssc $3 2079509
650 4 $a Remote sensing. $3 535394
650 4 $a Atmospheric sciences. $3 3168354
690 $a 0404
690 $a 0799
690 $a 0725
710 2 $a The Florida State University. $b Earth, Ocean and Atmospheric Science. $3 3174202
773 0 $t Masters Abstracts International $g 54-05(E).
790 $a 0071
791 $a M.S.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1590238