Coastal ocean data assimilation using a multi-scale three-dimensional variational scheme
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 605546584 | ||
| 003 | CHVBK | ||
| 005 | 20210128100941.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150701xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s10236-015-0850-x |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s10236-015-0850-x | ||
| 245 | 0 | 0 | |a Coastal ocean data assimilation using a multi-scale three-dimensional variational scheme |h [Elektronische Daten] |c [Zhijin Li, James McWilliams, Kayo Ide, John Farrara] |
| 520 | 3 | |a A multi-scale three-dimensional variational scheme (MS-3DVAR) is implemented to improve the effectiveness of the assimilation of both very sparse and high-resolution observations into models with resolutions down to 1 km. The improvements are realized through the use of background error covariances of multi-decorrelation length scales and by reducing the inherent observational representativeness errors. MS-3DVAR is applied to coastal ocean data assimilation to handle the wide range of spatial scales that exist in both the dynamics and observations. In the implementation presented here, the cost function consists of two components for large and small scales, and MS-3DVAR is implemented sequentially from large to small scales. A set of observing system simulation experiments (OSSEs) are performed to illustrate the advantages of MS-3DVAR over conventional 3DVAR in assimilating two of the most common types of observations—sparse vertical profiles and high-resolution surface measurements—simultaneously. One month of results from an operational implementation show that both the analysis error and bias are reduced more effectively when using MS-3DVAR. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2015 | ||
| 690 | 7 | |a Multi-scale data assimilation |2 nationallicence | |
| 690 | 7 | |a Variational data assimilation |2 nationallicence | |
| 690 | 7 | |a Fine-resolution model |2 nationallicence | |
| 690 | 7 | |a Ocean prediction |2 nationallicence | |
| 690 | 7 | |a Observing system |2 nationallicence | |
| 690 | 7 | |a Coastal ocean |2 nationallicence | |
| 700 | 1 | |a Li |D Zhijin |u Jet Propulsion Laboratory, California Institute of Technology, M/S 300-323, 4800 Oak Grove Drive, Pasadena, CA, USA |4 aut | |
| 700 | 1 | |a McWilliams |D James |u Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA, USA |4 aut | |
| 700 | 1 | |a Ide |D Kayo |u Department of Atmospheric and Oceanic Science, Center for Scientific Computation and Mathematical Modeling, Earth System Science Interdisciplinary Center, Institute for Physical Science and Technology, University of Maryland, College Park, MD, USA |4 aut | |
| 700 | 1 | |a Farrara |D John |u Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, CA, USA |4 aut | |
| 773 | 0 | |t Ocean Dynamics |d Springer Berlin Heidelberg |g 65/7(2015-07-01), 1001-1015 |x 1616-7341 |q 65:7<1001 |1 2015 |2 65 |o 10236 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s10236-015-0850-x |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s10236-015-0850-x |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Li |D Zhijin |u Jet Propulsion Laboratory, California Institute of Technology, M/S 300-323, 4800 Oak Grove Drive, Pasadena, CA, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a McWilliams |D James |u Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Ide |D Kayo |u Department of Atmospheric and Oceanic Science, Center for Scientific Computation and Mathematical Modeling, Earth System Science Interdisciplinary Center, Institute for Physical Science and Technology, University of Maryland, College Park, MD, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Farrara |D John |u Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, CA, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Ocean Dynamics |d Springer Berlin Heidelberg |g 65/7(2015-07-01), 1001-1015 |x 1616-7341 |q 65:7<1001 |1 2015 |2 65 |o 10236 | ||