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Note

Documentation below is provided as is. The dataset the documentation below relates to is no longer supported and will be removed from the Climate Data Store (CDS) at a later date.

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This document presents an overview of the status of the operational indicators for the C3S for Global Shipping project. The complete updated list of operational indicators is given in section 1, followed by a discussion on the feasibility and value of different indicators to the maritime industry. Possible issues with input data and validation data are highlighted as well. For reference, the indicator definitions are also briefly mentioned.
The Fuel consumption/shaft power model operational indicator development, progress, and results are given in section 2. The model is in an advanced stage of development and is functional w.r.t. climatology datasets as input. The next step is to integrate the seasonal forecast datasets within this indicator.
The Route cost ETA indicator uses the DIRECT sail planning algorithm, which is described in detail in section 3. This indicator is undergoing code testing with actual routes, and CDS metocean data, however, testing results, as presented in this document, are at a preliminary stage and will be greatly expanded upon in the coming few weeks. Therefore, significant updates to this indicator are expected in the next iteration of this document.

Appendix / Code

Appendix A – Code for Fuel consumption model

The python notebook code files for the Fuel consumption model are delivered in the form of a zip archive datafile together with this document. Filename "C3S_D422Lot1.OSM.2.6(1)201805 Operational_Indicators_Technical_Note_AppendixA_code_FCM"

Appendix B – Code for Route cost ETA

The MATLAB code files for Route cost ETA are delivered in the form of a zip archive datafile together with this document. Filename "C3S_D422Lot1.OSM.2.6(1)201805_Operational_Indicators
Technical_Note_AppendixB_code_RouteCostETA"

References

Bartholomew-Biggs, M. C., Parkhurst, S. C., & Wilson, S. P. (2002). Using DIRECT to solve an aircraft routing problem. Computational Optimization and Applications, 21(3), 311-323.

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