國立虎尾科技大學 |

Land surface observation, modeling and data assimilation

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Land surface observation, modeling and data assimilation/ editors, Shunlin Liang, Xin Li, Xianhong Xie.
Author:	Liang, Shunlin.
Published:	Singapore ;World Scientific Pub. Co., : c2013.,
Description:	1 online resource (xxiv, 466 p.) :ill. (some col.), col. maps. :
Subject:	Earth sciences - Remote sensing. -
Online resource:	http://www.worldscientific.com/worldscibooks/10.1142/8768#t=toc
ISBN:	9789814472616 (electronic bk.)

Land surface observation, modeling and data assimilation
Liang, Shunlin.

Land surface observation, modeling and data assimilation[electronic resource] /editors, Shunlin Liang, Xin Li, Xianhong Xie. - Singapore ;World Scientific Pub. Co.,c2013. - 1 online resource (xxiv, 466 p.) :ill. (some col.), col. maps.

Includes bibliographical references and index.

Pt. 1. Observation. ch. 1. Remote sensing data products for land surface data assimilation system application / Yunjun Yao, Shunlin Liang and Tongren Xu -- ch. 2. Second-generation polar-orbiting meteorological satellites of China: the Fengyun 3 series and its applications in global monitoring / Peng Zhang -- ch. 3. NASA satellite and model land data services: data access tutorial / Suhung Shen, Gregory Leptoukh and Hongliang Fang -- pt. 2. Modeling. ch. 4. Land surface process study and modeling in drylands and high-elevation regions / Yingying Chen and Kun Yang -- ch. 5. Review of parameterization and parameter estimation for hydrologic models / Soroosh Sorooshian and Wei Chu -- pt. 3. Data assimilation. ch. 6. Assimilating remote sensing data into land surface models: theory and methods / Xin Li and Yulong Bai -- ch. 7. Estimating model and observation error covariance information for land data assimilation systems / Wade T. Crow -- ch. 8. Inflation adjustment on error covariance matrices for ensemble Kalman filter assimilation / Xiaogu Zheng ... [et al.[ -- ch. 9. A review of error estimation in land data assimilation systems / Yulong Bai, Xin Li and Qianlong Chai -- ch. 10. An introduction to multi-scale Kalman smoother-based framework and its application to data assimilation / Daniel E. Salas and Xu Liang -- pt. 4. Application. ch. 11. Overview of the North American Land data assimilation system (NLDAS) / Youlong Xia ... [et al.] -- ch. 12. Soil moisture data assimilation for state initialization of seasonal climate prediction / Wenge Ni-Meister -- ch. 13. Assimilation of remote sensing data and crop simulation models for agricultural study: recent advances and future directions / Hongliang Fang, Shunlin Liang and Gerrit Hoogenboom -- ch. 14. Simultaneous state-parameter estimation for hydrologic modeling using ensemble Kalman filter / Xianhong Xie.

This book is unique in its ambitious and comprehensive coverage of earth system land surface characterization, from observation and modeling to data assimilation, including recent developments in theory and techniques, and novel application cases. The contributing authors are active research scientists, and many of them are internationally known leading experts in their areas, ensuring that the text is authoritative. This book comprises four parts that are logically connected from data, modeling, data assimilation integrating data and models to applications. Land data assimilation is the key focus of the book, which encompasses both theoretical and applied aspects with various novel methodologies and applications to the water cycle, carbon cycle, crop monitoring, and yield estimation. Readers can benefit from a state-of-the-art presentation of the latest tools and their usage for understanding earth system processes. Discussions in the book present and stimulate new challenges and questions facing today's earth science and modeling communities.

ISBN: 9789814472616 (electronic bk.)Subjects--Topical Terms:

641504
Earth sciences
--Remote sensing.

LC Class. No.: QE33.2.R4 / L52 2013

Dewey Class. No.: 550.285

Land surface observation, modeling and data assimilation
LDR:04006cam a2200289Ma 4500 001 793835
003 OCoLC
005 20141031101627.0
006 m o d
007 cr cuu|||uu|||
008 150316s2013 si ab ob 001 0 eng d
020 $a 9789814472616 (electronic bk.)
020 $a 9814472611 (electronic bk.)
020 $a 9789814472623 (electronic bk.)
020 $z 9789814472609 (hardback)
020 $z 9814472603 (hardback)
035 $a (OCoLC)860388864 $z (OCoLC)866922458
035 $a ocn860388864
040 $a WSPC $b eng $c STF $d N $d YDXCP $d OCLCO $d DEBSZ
050 1 4 $a QE33.2.R4 $b L52 2013
082 0 4 $a 550.285 $2 22
100 1 $a Liang, Shunlin. $3 679447
245 1 0 $a Land surface observation, modeling and data assimilation $h [electronic resource] / $c editors, Shunlin Liang, Xin Li, Xianhong Xie.
260 $a Singapore ; $a Hackensack, N.J. : $b World Scientific Pub. Co., $c c2013.
300 $a 1 online resource (xxiv, 466 p.) : $b ill. (some col.), col. maps.
504 $a Includes bibliographical references and index.
505 0 $a Pt. 1. Observation. ch. 1. Remote sensing data products for land surface data assimilation system application / Yunjun Yao, Shunlin Liang and Tongren Xu -- ch. 2. Second-generation polar-orbiting meteorological satellites of China: the Fengyun 3 series and its applications in global monitoring / Peng Zhang -- ch. 3. NASA satellite and model land data services: data access tutorial / Suhung Shen, Gregory Leptoukh and Hongliang Fang -- pt. 2. Modeling. ch. 4. Land surface process study and modeling in drylands and high-elevation regions / Yingying Chen and Kun Yang -- ch. 5. Review of parameterization and parameter estimation for hydrologic models / Soroosh Sorooshian and Wei Chu -- pt. 3. Data assimilation. ch. 6. Assimilating remote sensing data into land surface models: theory and methods / Xin Li and Yulong Bai -- ch. 7. Estimating model and observation error covariance information for land data assimilation systems / Wade T. Crow -- ch. 8. Inflation adjustment on error covariance matrices for ensemble Kalman filter assimilation / Xiaogu Zheng ... [et al.[ -- ch. 9. A review of error estimation in land data assimilation systems / Yulong Bai, Xin Li and Qianlong Chai -- ch. 10. An introduction to multi-scale Kalman smoother-based framework and its application to data assimilation / Daniel E. Salas and Xu Liang -- pt. 4. Application. ch. 11. Overview of the North American Land data assimilation system (NLDAS) / Youlong Xia ... [et al.] -- ch. 12. Soil moisture data assimilation for state initialization of seasonal climate prediction / Wenge Ni-Meister -- ch. 13. Assimilation of remote sensing data and crop simulation models for agricultural study: recent advances and future directions / Hongliang Fang, Shunlin Liang and Gerrit Hoogenboom -- ch. 14. Simultaneous state-parameter estimation for hydrologic modeling using ensemble Kalman filter / Xianhong Xie.
520 $a This book is unique in its ambitious and comprehensive coverage of earth system land surface characterization, from observation and modeling to data assimilation, including recent developments in theory and techniques, and novel application cases. The contributing authors are active research scientists, and many of them are internationally known leading experts in their areas, ensuring that the text is authoritative. This book comprises four parts that are logically connected from data, modeling, data assimilation integrating data and models to applications. Land data assimilation is the key focus of the book, which encompasses both theoretical and applied aspects with various novel methodologies and applications to the water cycle, carbon cycle, crop monitoring, and yield estimation. Readers can benefit from a state-of-the-art presentation of the latest tools and their usage for understanding earth system processes. Discussions in the book present and stimulate new challenges and questions facing today's earth science and modeling communities.
650 0 $a Earth sciences $x Remote sensing. $3 641504
650 0 $a Environmental sciences $x Remote sensing. $3 554795
650 0 $a Remote sensing. $3 557272
710 2 $a World Scientific (Firm) $3 713624
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/8768#t=toc