Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 11, issue 10
Articles | Volume 11, issue 10
https://doi.org/10.5194/gmd-11-4011-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-4011-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 10
Methods for assessment of models
 | 
05 Oct 2018
Methods for assessment of models |  | 05 Oct 2018

Data assimilation cycle length and observation impact in mesoscale ocean forecasting

Paul Sandery

Viewed

Total article views: 2,349 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,503 779 67 2,349 81 72
  • HTML: 1,503
  • PDF: 779
  • XML: 67
  • Total: 2,349
  • BibTeX: 81
  • EndNote: 72
Views and downloads (calculated since 05 Mar 2018)
Cumulative views and downloads (calculated since 05 Mar 2018)

Viewed (geographical distribution)

Total article views: 2,349 (including HTML, PDF, and XML) Thereof 2,190 with geography defined and 159 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
This article compares global mesoscale ocean forecasts with different data assimilation cycle lengths. Mean absolute increment is used to quantify differences in the overall impact of observations. Greater observation impact does not necessarily improve a forecast system. Experiments show a 1-day cycle generates improved 7-day forecasts when compared to a 3-day cycle. Cycle length is an important choice that influences system bias and predictability.
Read more