東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Hydrologic models." ]

切換: 標籤 | MARC模式 | ISBD

Satellite remote sensing in hydrolog...

Khaki, Mehdi.

FindBook

Google Book

Amazon

博客來

Satellite remote sensing in hydrological data assimilation

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Satellite remote sensing in hydrological data assimilation/ by Mehdi Khaki.
作者:	Khaki, Mehdi.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xv, 290 p. :ill., digital ;24 cm.
內容註:	Part 1: Hydrological Data Assimilation -- Chapter 1 - Introduction -- Chapter 2 - Data assimilation and remote sensing data -- Part 2: Model-Data -- Chapter 3 - Hydrologic model -- Chapter 4 - Remote sensing for assimilation -- Part 3 : Data Assimilation Filters -- Chapter 5 - Sequential Data Assimilation Techniques for Data Assimilation -- Part 4 : GRACE Data Assimilation -- Chapter 6 - Efﬁcient Assimilation of GRACE TWS into Hydrological Models -- Part 5 : Water Budget Constraint -- Chapter 7 - Constrained Data Assimilation Filtering -- Chapter 8 - Unsupervised Constraint for Hydrologic Data Assimilation -- Part 6 : Data-driven Approach -- Chapter 9 - Non-parametric Hydrologic Data Assimilation -- Chapter 10 - Parametric and Non-parametric Data Assimilation Frameworks -- Part 7 Hydrologic Applications -- Chapter 11- Groundwater Depletion over Iran -- Chapter 12 - Water Storage Variations over Bangladesh -- Chapter 13 - Multi-mission Satellite Data Assimilation over South America.
Contained By:	Springer eBooks
標題:	Hydrologic models. -
電子資源:	https://doi.org/10.1007/978-3-030-37375-7
ISBN:	9783030373757

Satellite remote sensing in hydrological data assimilation
Khaki, Mehdi.

Satellite remote sensing in hydrological data assimilation[electronic resource] /by Mehdi Khaki. - Cham :Springer International Publishing :2020. - xv, 290 p. :ill., digital ;24 cm.

Part 1: Hydrological Data Assimilation -- Chapter 1 - Introduction -- Chapter 2 - Data assimilation and remote sensing data -- Part 2: Model-Data -- Chapter 3 - Hydrologic model -- Chapter 4 - Remote sensing for assimilation -- Part 3 : Data Assimilation Filters -- Chapter 5 - Sequential Data Assimilation Techniques for Data Assimilation -- Part 4 : GRACE Data Assimilation -- Chapter 6 - Efﬁcient Assimilation of GRACE TWS into Hydrological Models -- Part 5 : Water Budget Constraint -- Chapter 7 - Constrained Data Assimilation Filtering -- Chapter 8 - Unsupervised Constraint for Hydrologic Data Assimilation -- Part 6 : Data-driven Approach -- Chapter 9 - Non-parametric Hydrologic Data Assimilation -- Chapter 10 - Parametric and Non-parametric Data Assimilation Frameworks -- Part 7 Hydrologic Applications -- Chapter 11- Groundwater Depletion over Iran -- Chapter 12 - Water Storage Variations over Bangladesh -- Chapter 13 - Multi-mission Satellite Data Assimilation over South America.

This book presents the fundamentals of data assimilation and reviews the application of satellite remote sensing in hydrological data assimilation. Although hydrological models are valuable tools to monitor and understand global and regional water cycles, they are subject to various sources of errors. Satellite remote sensing data provides a great opportunity to improve the performance of models through data assimilation.

ISBN: 9783030373757

Standard No.: 10.1007/978-3-030-37375-7doiSubjects--Topical Terms:

559363
Hydrologic models.

LC Class. No.: GB656.2.H9 / K435 2020

Dewey Class. No.: 551.48011

Satellite remote sensing in hydrological data assimilation
LDR:02430nmm a2200337 a 4500 001 2215066
003 DE-He213
005 20200504092041.0
006 m d
007 cr nn 008maaau
008 201119s2020 sz s 0 eng d
020 $a 9783030373757 $q (electronic bk.)
020 $a 9783030373740 $q (paper)
024 7 $a 10.1007/978-3-030-37375-7 $2 doi
035 $a 978-3-030-37375-7
040 $a GP $c GP
041 0 $a eng
050 4 $a GB656.2.H9 $b K435 2020
072 7 $a RB $2 bicssc
072 7 $a SCI019000 $2 bisacsh
072 7 $a RB $2 thema
072 7 $a TQ $2 thema
082 0 4 $a 551.48011 $2 23
090 $a GB656.2.H9 $b K45 2020
100 1 $a Khaki, Mehdi. $3 3446197
245 1 0 $a Satellite remote sensing in hydrological data assimilation $h [electronic resource] / $c by Mehdi Khaki.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xv, 290 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part 1: Hydrological Data Assimilation -- Chapter 1 - Introduction -- Chapter 2 - Data assimilation and remote sensing data -- Part 2: Model-Data -- Chapter 3 - Hydrologic model -- Chapter 4 - Remote sensing for assimilation -- Part 3 : Data Assimilation Filters -- Chapter 5 - Sequential Data Assimilation Techniques for Data Assimilation -- Part 4 : GRACE Data Assimilation -- Chapter 6 - Efﬁcient Assimilation of GRACE TWS into Hydrological Models -- Part 5 : Water Budget Constraint -- Chapter 7 - Constrained Data Assimilation Filtering -- Chapter 8 - Unsupervised Constraint for Hydrologic Data Assimilation -- Part 6 : Data-driven Approach -- Chapter 9 - Non-parametric Hydrologic Data Assimilation -- Chapter 10 - Parametric and Non-parametric Data Assimilation Frameworks -- Part 7 Hydrologic Applications -- Chapter 11- Groundwater Depletion over Iran -- Chapter 12 - Water Storage Variations over Bangladesh -- Chapter 13 - Multi-mission Satellite Data Assimilation over South America.
520 $a This book presents the fundamentals of data assimilation and reviews the application of satellite remote sensing in hydrological data assimilation. Although hydrological models are valuable tools to monitor and understand global and regional water cycles, they are subject to various sources of errors. Satellite remote sensing data provides a great opportunity to improve the performance of models through data assimilation.
650 0 $a Hydrologic models. $3 559363
650 0 $a Hydrology $x Remote sensing. $3 910037
650 1 4 $a Earth System Sciences. $3 1566948
650 2 4 $a Hydrology/Water Resources. $3 2055722
650 2 4 $a Remote Sensing/Photogrammetry. $3 890882
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 891040
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 1005896
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-3-030-37375-7
950 $a Earth and Environmental Science (Springer-11646)