1 / 5

Ensemble of subsurface databases

Ensemble of subsurface databases. Simon Good, presented by Nick Rayner , ERA-CLIM workshop on observation errors, Vienna, April 19-20 th 2012. Construction of a subsurface dataset involves many choices.

delores-oriole
Télécharger la présentation

Ensemble of subsurface databases

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Ensemble of subsurface databases Simon Good, presented by Nick Rayner , ERA-CLIM workshop on observation errors, Vienna, April 19-20th 2012.

  2. Construction of a subsurface dataset involves many choices • Different choices are made for each dataset (EN3/WOD/CORA etc.), so each is different to the other • How much does this uncertainty impact applications? Duplicate profile detection? Thinning/ interpolation to standard levels? Choice of data sources? Quality control procedures? How to adjust for biases? Etc…

  3. Assessing the impact of dataset construction uncertainty • To understand the impact, we can apply each dataset to an application • The range of outcomes indicates the uncertainty • This is the ‘ensemble of opportunity’ approach • This is currently not straightforward to do since: • Different datasets use different file formats • In the case of bias adjustments for XBT and MBT data, it is often necessary to apply methods described in papers to the datasets • It is inefficient for each user to do this individually • The aim of deliverable 4.7 is to overcome these issues by compiling the ensemble of opportunity and providing it to users

  4. Current status • XBT and MBT bias adjustments have been applied to the EN3/EN4 dataset resulting in multiple versions of the data, each in the same file format • Plot shows the result of applying the ensemble to calculate global upper ocean temperature anomaly • Other datasets e.g. WOD are being converted to the EN3/EN4 file format

  5. What is the best way to provide the ensemble to users? • Simplest option is to provide each dataset separately in the same format (e.g. the EN3/EN4 file format) • Inefficient as there is much repeated information in each realisation of the data • It is not easy to compare the realisations • Would another option be more useful? • E.g. holding all the datasets in a single database • How do users wish to obtain the data? • E.g. download all the data at once, separate set of files for each dataset?

More Related