2019
DOI: 10.12716/1001.13.01.04
|View full text |Cite
|
Sign up to set email alerts
|

Preliminary Inter-comparison of AIS Data and Optimal Ship Tracks

Abstract: Optimal ship tracks computed via the VISIR model are compared to tracks recorded by the Automatic Identification System (AIS). The evaluation regards 43 tracks in the Southern Atlantic Ocean, sailed during 2016-2017 by different bulk carriers. In this exercise, VISIR is fed by wave analysis fields from the Copernicus Marine Environment Monitoring Service (CMEMS). In order to reproduce vessel speed loss in waves, a new methodology is developed, where kinematic information from AIS is fusioned with wave informat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
5
2

Relationship

3
4

Authors

Journals

citations
Cited by 8 publications
(4 citation statements)
references
References 9 publications
0
4
0
Order By: Relevance
“…However, advances in operational oceanography have revealed a high level of variability in the water flow at numerous spatial and temporal scales (Pinardi et al, 2015). This is indicated by ocean drifter data, which are also affected by wind (Maximenko et al, 2012), satellite altimetry, which just provides the geostrophic component of the currents (Pascual et al, 2006), and model computations, whose capacity to represent mesoscale variability depends on spatial discretisation along with other factors (Fu and Smith, 1996;Sandery and Sakov, 2017). More recently, even animal-borne measurements have been used to characterise ocean currents, particularly in the polar regions (Roquet et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…However, advances in operational oceanography have revealed a high level of variability in the water flow at numerous spatial and temporal scales (Pinardi et al, 2015). This is indicated by ocean drifter data, which are also affected by wind (Maximenko et al, 2012), satellite altimetry, which just provides the geostrophic component of the currents (Pascual et al, 2006), and model computations, whose capacity to represent mesoscale variability depends on spatial discretisation along with other factors (Fu and Smith, 1996;Sandery and Sakov, 2017). More recently, even animal-borne measurements have been used to characterise ocean currents, particularly in the polar regions (Roquet et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…By computing both spatial and temporal discrepancies between VISIR and AIS tracks, we could infer that optimization likely took place in several but not all tracks. While the method by Mannarini et al (2019) is still in its infancy, we believe its extension to a larger statistics could contribute to shed light on questions like the one posed in this Referee's comment.…”
Section: C3mentioning
confidence: 82%
“…Nevertheless, we recently addressed this question by comparing VISIR optimal tracks vs. reported ship tracks per AIS (Automated Identification System) data, for a route in the Southern Ocean (Mannarini et al, 2019). By computing both spatial and temporal discrepancies between VISIR and AIS tracks, we could infer that optimization likely took place in several but not all tracks.…”
Section: C3mentioning
confidence: 99%
“…For open-sea navigation, which is well outside the zone where ship acceleration/deceleration transients usually occur, this is an acceptable approximation. A recent evaluation of time-optimal trajectories computed by VISIR and actually sailed trajectories in the Southern Atlantic Ocean was conducted in [72]. These preliminary results indicate that only part of the actually sailed trajectories are to some extent optimized.…”
Section: Appendix a Vessel Interaction With Wavesmentioning
confidence: 94%