أخبار
Efficient Formulation and Implementation of Data Assimilation Methods ; Atmosphere
| العنوان: | Efficient Formulation and Implementation of Data Assimilation Methods ; Atmosphere |
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| المؤلفون: | Nino-Ruiz, Elias D., Sandu, Adrian, Cheng, Haiyan |
| المساهمون: | Computer Science |
| بيانات النشر: | MDPI |
| سنة النشر: | 2018 |
| المجموعة: | VTechWorks (VirginiaTech) |
| مصطلحات موضوعية: | ensemble Kalman filter, posterior ensemble, modified Cholesky decomposition, sampling methods, empirical orthogonal functions, Gaussian mixture models |
| الوصف: | This Special Issue presents efficient formulations and implementations of sequential and variational data assimilation methods. The methods address three important issues in the context of operational data assimilation: efficient implementation of localization methods, sampling methods for approaching posterior ensembles under non-linear model errors, and adjoint-free formulations of four dimensional variational methods. ; Published version |
| نوع الوثيقة: | other non-article part of journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | Nino-Ruiz, E.D.; Sandu, A.; Cheng, H. Efficient Formulation and Implementation of Data Assimilation Methods. Atmosphere 2018, 9, 254.; http://hdl.handle.net/10919/84387Test; https://doi.org/10.3390/atmos9070254Test |
| DOI: | 10.3390/atmos9070254 |
| الإتاحة: | https://doi.org/10.3390/atmos9070254Test http://hdl.handle.net/10919/84387Test |
| حقوق: | Creative Commons Attribution 4.0 International ; http://creativecommons.org/licenses/by/4.0Test/ |
| رقم الانضمام: | edsbas.7A6B8410 |
| قاعدة البيانات: | BASE |
| DOI: | 10.3390/atmos9070254 |
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