Informations et ressources scientifiques
sur le développement des zones arides et semi-arides

Accueil du site → Nouvelles publications → 2013 → Land Surface Observation, Modeling and Data Assimilation

2013

Land Surface Observation, Modeling and Data Assimilation

World Scientific

Edited by : Shunlin Liang (University of Maryland, USA & Beijing Normal University, China) ; Xin Li (Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, China) ; Xianhong Xie (Beijing Normal University, China)
Publisher  : World Scientific
Date de parution : 2013
Pages : 900

Présentation

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.

Contents : •Remote Sensing Data Products in Data Assimilation System •Second Generation Polar-Orbiting Meteorological Satellite •NASA Satellite and Modeled Land Data •Theories and Methods of Data Assimilation •Error Estimation in Data Assimilation •Multi-Scale Kalman Filter •North American Land Data Assimilation System •Soil Moisture Data Assimilation •Assimilation of Remote Sensing Data and Crop Simulation Models •Estimation of Hydrological Model Parameters

Lien vers la présentation de l’ouvrage sur le site de l’éditeur

Page publiée le 27 août 2013