Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications

This book presents the most recent achievements in data assimilation in Geosciences, especially in regards to meteorology, oceanography and hydrology. It spans both theoretical and applied aspects with various methodologies including variational, Kalman filter, maximum likelihood ensemble filter and...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
مؤلفون آخرون: Park, Seon Ki
التنسيق: كتاب
اللغة:English
منشور في: Springer 2017
الموضوعات:
550
الوصول للمادة أونلاين:http://repository.vnu.edu.vn/handle/VNU_123/30281
الوسوم: إضافة وسم
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المؤسسة: Vietnam National University, Hanoi
اللغة: English
الوصف
الملخص:This book presents the most recent achievements in data assimilation in Geosciences, especially in regards to meteorology, oceanography and hydrology. It spans both theoretical and applied aspects with various methodologies including variational, Kalman filter, maximum likelihood ensemble filter and other ensemble methods. Besides data assimilation, other important topics are also covered including targeting observation, parameter estimation, and remote sensing data retrieval. The book will be useful to individual researchers as well as graduate students as a reference in the field of data assimilation.