Challenge ID |
C-CORE_OFF1.16 |
Title |
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Challenge originator: |
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General Description |
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What data/products do you use? |
Funnel clouds and waterspouts in the offshore environment are identified through a variety of surface-based observations.
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When do you use this kind of dataset? |
Observations of funnels/sprouts are mostly used by the O&G industry in funnel/spout prone areas for all phases during operations. The onset of thee events can be sudden and interrupt all kinds of operations on deck, helicopter activity etc as they pose a large threat to personnel onboard rigs and vessels. Historical data are important to assess risk of operations in these areas, frequency of occurrence, strength of gusts etc., but are mostly used as input to improve operational forecasting. Also, many other data sources do not catch the extremes in the area without these data added to the time series for the point of interest, since data often are averaged and conditions often are mostly benign.
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What are your actual limitations and do you have a work around? |
Convective cells can often be identified from satellite pictures. But it is it is difficult (impossible) to assess the likelihood of funnels/sprouts based on satellite alone. The temporal and spatial resolution of surface-based observations significantly limits the identification of funnel clouds and waterspouts in the offshore environment. Unless ships report funnel clouds and waterspouts, the events are not readily available for analysis over vast areas of the ocean.
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Needs and expectations on EO data |
Specific need: More surface-based observations that verify the existence of funnel clouds and waterspouts in the offshore environment. |
Challenge classification |
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Pre license |
1 |
Exp. |
3 |
Dev. |
1 |
Prod. |
3 |
Decom. |
2 |
Geographic context/ restrictions |
Applies to all six Areas of interest.
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Topographic classification / Offshore classification |
Ocean |
Activity impacted/concerned |
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Technology Urgency |
Short term (2-5 years) |
Information requirements |
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Update frequency |
Real-time or near real-time observations are available sub-hourly and less frequently. Historical observations are generally updated once per month, for the previous month. |
Temporal resolution |
At least hourly.
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Spatial resolution |
4-2 km
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Data quality |
The selected sources in this document are selected because they are known to have sufficient quality (after some work arounds and adaptations). In general separate indepth verification studies has to be made for each source planned to be used for analysis, and the analysis has to be repeated for each geographical area (since sources might be of sufficient quality in one area but not another). |
Data Coverage and extent |
Regional. |
Example format |
Surface-bases observation: text, CSV and/or netCDF |
Timeliness |
Real- time or near-real time |
Existing standards |
NA |