crowdsourcing gas flux climatologies and the big experiment jamie shutler, jean-francois piolle,...
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Crowdsourcing gas flux climatologies and the big experiment
Jamie Shutler, Jean-Francois Piolle, Peter Land, David Woolf, Fanny Girard-Ardhuin, Bertrand Chapron and Craig Donlon
Crowdsourcing ?
• Outsourcing a task (once performed by a small number of people) to a large network.
• Tackling intractable and laborious problems, creating and bringing together communities.
• Examples:– Crowdsourced travel reviews e.g. TripAdvisor.– Crowdsourced funding e.g. kickstarter.com, profounder.com– Crowdsourced humanitarian support e.g. tomnod.com, avaaz.org– Crowdsourced climate research. e.g. mapping the locations of the
world’s ~30,000 power plants to help validate global emission modelling
Crowdsourcing ?
• Outsourcing a task (once performed by a small number of people) to a large network.
• Tackling intractable and laborious problems, creating and bringing together communities.
• Examples:– Crowdsourced travel reviews e.g. TripAdvisor.– Crowdsourced funding e.g. kickstarter.com, profounder.com– Crowdsourced humanitarian support e.g. tomnod.com, avaaz.org– Crowdsourced climate research. e.g. mapping the locations of the
world’s ~30,000 power plants to help validate global emission models.
Crowdsource air-sea gas flux climatologies to investigate uncertainties
What we hope to gain
1. Insight into community parameterisation preferences.
1. Feedback on the Crowdsourcing platform (FluxEngine).– Missing options– Feedback on functionality
2. Guidance for future larger experiment– Is it informative ?– What should we concentrate on ?– Which aspects or issues can we investigate ?
What we hope to gain
1. Insight into community parameterisation preferences.
1. Feedback on the Crowdsourcing platform (FluxEngine).– Missing options– Feedback on functionality
2. Guidance for future larger experiment– Is it informative ?– What should we concentrate on ?– Which aspects or issues can we investigate ?
3. Participants for the larger experiment and co-authors for a journal paper
The platform - FluxEngineGeneric atmosphere-ocean gas flux data processing toolbox
The platform - FluxEngine
Installed on Nephalae cloud:• Free to use.• Ability to choose flux parameterisation and input data.• Large range of pre-processed input datasets in common spatial resolution and format.• Just need a web browser and an email address.
Generic atmosphere-ocean gas flux data processing toolbox
Nephelae
600 processing nodes.1.5 Peta bytes of storage
Brochure describing the system
The platform - FluxEngine
Installed on Nephalae cloud:• Free to use.• Ability to choose flux parameterisation and input data.• Large range of pre-processed input datasets in common spatial resolution and format.• Just need a web browser and an email address.
Generic atmosphere-ocean gas flux data processing toolbox
Nephelae
600 processing nodes.1.5 Peta bytes of storage
Brochure describing the system
Extensively tested :• System and calculations verified using published data.• Successful use of IFREMER Cloud (Nephelae) data processing system.• 500 TB of EO data available, 8 TB have been pre-processed.• Used extensively within project for uncertainty and rain investigations (>300 runs).• Being used within 2 UK projects and 2 ESA projects.• Configure and trigger processing of a climatology in just 5 minutes• link to output is emailed to you.
Shutler, J. D., Piolle, J-F., Land, P., Woolf, D. K., Goddijn-Murphy L.,, Paul, F., Girard-Ardhuin, F., Chapron, B., Donlon, C. J., (in-review) Flux Engine: A flexible processing system for calculating air-sea carbon dioxide gas fluxes and climatologies, submitted to Journal of Atmospheric and Oceanic Technology.
Example process indicator layer output usingESA CCI chl-aExample mean daily flux output
The platform - FluxEngine
Extensively tested :• System and calculations verified using published data.• Successful use of IFREMER Cloud (Nephelae) data processing system.• 500 TB of EO data available, 8 TB have been pre-processed.• Used extensively within project for uncertainty and rain investigations (>300 runs).• Being used within 2 UK projects and 2 ESA projects.• Configure and trigger processing of a climatology in just 5 minutes• link to output is emailed to you.
Shutler, J. D., Piolle, J-F., Land, P., Woolf, D. K., Goddijn-Murphy L.,, Paul, F., Girard-Ardhuin, F., Chapron, B., Donlon, C. J., (in-review) Flux Engine: A flexible processing system for calculating air-sea carbon dioxide gas fluxes and climatologies, submitted to Journal of Atmospheric and Oceanic Technology.
Example process indicator layer output usingESA CCI chl-aExample mean daily flux output
The platform - FluxEngine
http://www.ifremer.fr/cersat1/exp/oceanflux
The platform - FluxEngine
http://www.ifremer.fr/cersat1/exp/oceanflux
The platform - FluxEngine
http://www.ifremer.fr/cersat1/exp/oceanflux
The platform - FluxEngine
The big experimentDefault selections on most choices.
Please choose the:1. Gas transfer velocity parameterisation
• Selection of standard wind parameterisations• Define your own wind parameterisation• Backscatter parameterisations
2. Fields of pCO2 or fCO2
• Takahashi et al., DSRII, (2009)• Kriged SOCAT v1.5• Kriged SOCAT v2.0
The big experimentExperiment open from now until 13:00 on Thursday 30th October
Facilities:– Wednesday 29th – building 14, Room P (meeting room with WiFi) – Thursday 30th – building 1, training room (Computer suite) – WiFi throughout venue – you can use your laptop at any time.
We will receive copies of all of your climatologies.
Friday 31st, just before lunch, we will present:– Overview of crowd choices– Net flux results (e.g. ensemble means, histogram of fluxes)– Feedback
The big experiment - please take part!
Experiment open from now until 13:00 on Thursday (30 th)
All you need is 5 minutes, a web browser and WiFi
Claim your free drink if you spot an error or find a bug!
http://www.ifremer.fr/cersat1/exp/oceanflux
username: oceanflux
password: _OCeanf1UX
Results will be presented just before lunch on Friday
Send feedback to : [email protected]
• Use twitter.
Daily dataRain (intensity, event)Wind (speed, direction)SOCATSST (foundation, skin)Ice (%age, thickness)Wave (altimeter and WWIII model)Salinity
Daily dataRain (intensity, event)Wind (speed, direction)SOCATSST (foundation, skin)Ice (%age, thickness)Wave (altimeter and WWIII model)Salinity
[1] Compositing and/or correction
(mean, median, krigging, profile…)
[1] Compositing and/or correction
(mean, median, krigging, profile…)
[2] Flux calculation
- Default calculation (using Takahashi climatology for pCO2 data ie. not using SOCAT data)
- Input data user configurable- Formulation user configurable- Ability to re-process- Output format fixed (contents/data-layers set by configuration file)
[2] Flux calculation
- Default calculation (using Takahashi climatology for pCO2 data ie. not using SOCAT data)
- Input data user configurable- Formulation user configurable- Ability to re-process- Output format fixed (contents/data-layers set by configuration file)
Monthly data
SST frontsBiology (ocean colour chl-a)Takahashi climatology
Monthly data
SST frontsBiology (ocean colour chl-a)Takahashi climatology
Fixed dataLonghurst provincesBathymetry
Fixed dataLonghurst provincesBathymetry
Monthlydata
Process indicator layers- Variance (all data)- Standard deviation (all data)- Kurtosis (all data)- no. of data points (all data)- Kriging stats (SOCAT data only)
- Regions of low wind speed- Dominance of wave breaking- Diurnal warming (foundation – skin)
Process indicator layers- Variance (all data)- Standard deviation (all data)- Kurtosis (all data)- no. of data points (all data)- Kriging stats (SOCAT data only)
- Regions of low wind speed- Dominance of wave breaking- Diurnal warming (foundation – skin)
Process indicator layers- Province- Coastal or open-ocean
Process indicator layers- Province- Coastal or open-ocean
Data layers - Monthly data (from daily data, e.g. mean, median, krigging result) - %age ice - pCO2W
- pCO2A
- KWB, KWO, KW,trad, KWR, KW
- flux - ΔpCO2 - asym, CI, CM
Data layers - Monthly data (from daily data, e.g. mean, median, krigging result) - %age ice - pCO2W
- pCO2A
- KWB, KWO, KW,trad, KWR, KW
- flux - ΔpCO2 - asym, CI, CM
Process indicator layers- Biology type (low, medium, high)- Presence of strong SST gradients
Process indicator layers- Biology type (low, medium, high)- Presence of strong SST gradients
Basic climatology processing system Climatology (monthly NetCDF)