Oceanic data assimilation study in northern Chile: use of a 3DVAR
We report the use of a 3-dimensional variational (3DVAR) data assimilation method as part of a numerical model off northern Chile. The numerical model is part of an ocean forecasting project that aims to understand the impact of environmental variability on the distribution of biological species in...
Guardado en:
Autores principales: | Sepúlveda,Héctor H, Marchesiello,Patrick, Li,Zhijin |
---|---|
Lenguaje: | English |
Publicado: |
Pontificia Universidad Católica de Valparaíso. Facultad de Recursos Naturales. Escuela de Ciencias del Mar
2013
|
Materias: | |
Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-560X2013000300018 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Numerical Dust Storm Simulation Using Modified Geographical Domain and Data Assimilation: 3DVAR and 4DVAR (WRF-Chem/WRFDA)
por: Muhammed Eltahan, et al.
Publicado: (2019) -
A High Resolution Reanalysis for the Mediterranean Sea
por: Romain Escudier, et al.
Publicado: (2021) -
A reanalysis of the Chilean ocean circulation: preliminary results for the region between 20°S to 40°S
por: Aiken,Christopher M
Publicado: (2017) -
The importance of simulated errors in observing system simulation experiments
por: Nikki C. PrivÉ, et al.
Publicado: (2021) -
Impact of assimilating radar data using a hybrid 4DEnVar approach on prediction of convective events
por: Shibo Gao, et al.
Publicado: (2021)