A comparison of the updated very high resolution model RegCM3_10km with the previous version RegCM3_25km over the complex terrain of Greece: present and future projections

2015 ◽  
Vol 126 (3-4) ◽  
pp. 715-726 ◽  
Author(s):  
Konstantia Tolika ◽  
Christina Anagnostopoulou ◽  
Kondylia Velikou ◽  
Christos Vagenas
Keyword(s):  
High Resolution ◽  
Complex Terrain ◽  
Future Projections ◽  
Previous Version ◽  
Resolution Model ◽  
High Resolution Model ◽  
Very High ◽  
Of Greece

scholarly journals Geostatistical interpolation can reliably extend coverage of a very high-resolution model of temperature-dependent sex determination

2017 ◽  
Vol 45 (3) ◽  
pp. 652-663 ◽  
Author(s):  
Anna L. Carter ◽  
Michael R. Kearney ◽  
Stephen Hartley ◽  
Warren P. Porter ◽  
Nicola J. Nelson
Keyword(s):  
High Resolution ◽  
Sex Determination ◽  
Temperature Dependent ◽  
Geostatistical Interpolation ◽  
Resolution Model ◽  
High Resolution Model ◽  
Very High

scholarly journals Comparison of extended and ensemble based Kalman filters with low and high resolution primitive equation ocean models

2005 ◽  
Vol 12 (5) ◽  
pp. 755-765 ◽  
Author(s):  
I. Hoteit ◽  
G. Korres ◽  
G. Triantafyllou
Keyword(s):  
High Resolution ◽  
Kalman Filters ◽  
Linear Analysis ◽  
Ocean Model ◽  
Primitive Equation ◽  
Gaussian Distributions ◽  
Resolution Model ◽  
High Resolution Model ◽  
Ocean Models ◽  
Very High

Abstract. Kalman filters are widely used for data assimilation into ocean models. The aim of this study is to discuss the relevance of these filters with high resolution ocean models. This was investigated through the comparison of two advanced Kalman filters: the singular evolutive extended Kalman (SEEK) filter and its ensemble-based variant, called SEIK filter. The two filters were implemented with the Princeton Ocean model (POM) considering a low spatial resolution configuration (Mediterranean sea model) and a very high one (Pagasitikos Gulf coastal model). It is shown that the two filters perform reasonably well when applied with the low resolution model. However, when the high resolution model is considered, the behavior of the SEEK filter seriously degrades because of strong model nonlinearities while the SEIK filter remains remarkably more stable. Based on the assumption of prior Gaussian distributions, the linear analysis step of the latter can still be improved though.

scholarly journals iGen: a program for the automated generation of models and parameterisations

2011 ◽  
Vol 4 (2) ◽  
pp. 843-868 ◽  
Author(s):  
D. F. Tang ◽  
S. Dobbie
Keyword(s):  
High Resolution ◽  
Source Code ◽  
Model Development ◽  
New Approach ◽  
Physical Systems ◽  
Automated Generation ◽  
Resolution Model ◽  
High Resolution Model ◽  
High Resolution Models ◽  
Very High

Abstract. Complex physical systems can often be simulated using very high-resolution models but this is not always practical because of computational restrictions. In this case the model must be simplified or parameterised, but this is a notoriously difficult process that often requires the introduction of "model assumptions" that are hard or impossible to justify. Here we introduce a new approach to parameterising models. The approach makes use of a newly developed computer program, which we call iGen, that analyses the source code of a high-resolution model and formally derives a much faster parameterised model that closely approximates the original, reporting bounds on the error introduced by any approximations. These error bounds can be used to formally justify use of the parameterised model in subsequent numerical experiments. Using increasingly complex physical systems as examples we illustrate that iGen has the ability to produce parameterisations that run typically orders of magnitude faster than the underlying, high-resolution models from which they are derived and show that iGen has the potential to become an important tool in model development.

scholarly journals Representativity error for temperature and humidity using the Met Office high‐resolution model†

2013 ◽  
Vol 140 (681) ◽  
pp. 1189-1197 ◽  
Author(s):  
J. A. Waller ◽  
S. L. Dance ◽  
A. S. Lawless ◽  
N. K. Nichols ◽  
J. R. Eyre
Keyword(s):  
High Resolution ◽  
Temperature And Humidity ◽  
Resolution Model ◽  
High Resolution Model

A high-resolution model of the inner organs based on the visible muman data set

2002 ◽  
Vol 5 (3) ◽  
pp. 212-212 ◽  
Author(s):  
U. Tiede ◽  
A. Pommert ◽  
B. Pflesser ◽  
E. Richter ◽  
M. Riemer ◽  
...  
Keyword(s):  
High Resolution ◽  
Data Set ◽  
Inner Organs ◽  
Resolution Model ◽  
High Resolution Model

scholarly journals Barrier Layers in a High-resolution Model in the Eastern Tropical Pacific

2020 ◽  
Author(s):  
Frederick M Bingham ◽  
Zhijin Li ◽  
Shota Katsura ◽  
Janet Sprintall
Keyword(s):  
High Resolution ◽  
Tropical Pacific ◽  
Eastern Tropical Pacific ◽  
Barrier Layers ◽  
Resolution Model ◽  
High Resolution Model

scholarly journals The upper Bay of Bengal salinity structure in a high-resolution model

2014 ◽  
Vol 74 ◽  
pp. 36-52 ◽  
Author(s):  
Rachid Benshila ◽  
Fabien Durand ◽  
Sébastien Masson ◽  
Romain Bourdallé-Badie ◽  
Clement de Boyer Montégut ◽  
...  
Keyword(s):  
High Resolution ◽  
Bay Of Bengal ◽  
Resolution Model ◽  
High Resolution Model ◽  
Salinity Structure
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