Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III)

  • Seon Ki Park
  • Liang Xu

Table of contents

  1. Front Matter
    Pages i-xxxvi
  2. François-Xavier Le Dimet, Ionel M. Navon, Răzvan Ştefănescu
    Pages 1-53
  3. Milija Županski
    Pages 55-70
  4. M. Yaremchuk, P. Martin, G. Panteleev, C. Beattie, A. Koch
    Pages 83-114
  5. Sarah King, Wei Kang, Liang Xu, Nancy L. Baker
    Pages 121-139
  6. Daniel Hodyss, Elizabeth Satterfield
    Pages 177-194
  7. Viviana Maggioni, Paul R. Houser
    Pages 195-217
  8. Zhaoxia Pu, Lei Zhang, Shixuan Zhang, Bruce Gentry, David Emmitt, Belay Demoz et al.
    Pages 259-283
  9. Hiromu Seko, Ei-ichi Sato, Hiroshi Yamauchi, Toshitaka Tsuda
    Pages 327-336
  10. Scott Smith, Hans Ngodock, Matthew Carrier, Jay Shriver, Philip Muscarella, Innocent Souopgui
    Pages 405-427
  11. Back Matter
    Pages 549-553

About this book


This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation.


Data Assimilation Variational Method Adjoint Method Sensitivity Analysis Kalman Filter Monte Carlo Method Targeting Observation

Editors and affiliations

  • Seon Ki Park
    • 1
  • Liang Xu
    • 2
  1. 1.Environmental Science and EngineeringEwha Womans UniversitySeoulKorea (Republic of)
  2. 2.Marine Meteorology DivisionNaval Research LaboratoryMontereyUSA

Bibliographic information