SlideShare a Scribd company logo
1 of 18
Tobias Steinhoff1,2, Ingunn Skjelvan1, Siv Lauvset1 and Matthew Humphreys3
Uncertainty analysis for calculations of
the marine carbonate system
1NORCE Norwegian Research Centre AS, Bjerknes Centre for Climate Research, Bergen, Norway
2GEOMAR, Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
3NIOZ Royal Netherlands Institute for Sea Research and Utrecht University, Texel, the Netherlands
Contact: Tobias Steinhoff, tost@norceresearch.no
Overall ICOS goal:
“ICOS shall provide harmonised and high-precision scientific data on carbon cycle and
greenhouse gas budget and perturbations”
Goal of ICOS-Oceans stations
This translates to ICOS-Oceans as
1. Quantifying air-sea CO₂ Fluxes
2. Assessing Variability and Drivers
The marine carbonate system
H2CO3 ⇋ HCO3
−
+ H+ ⇋ CO3
2−
+ 2H+
Atmosphere
Ocean
fCO2
DIC (Dissolved Inorganic Carbon)
TA (Total Alkalinity)
pH
CO2 aq + H2O ⇋ H2CO3
↓↑
CO2 g
Orr
The marine carbonate system
pCO2
DIC (Dissolved Inorganic Carbon)
TA (Total Alkalinity)
pHBy knowing two variables, the
other two can be calculated
Package Language Reference
CO2SYSa QBasic Lewis and Wallace (1998)
CO2SYSb Excel Pelletier et al. (2007)
CO2SYSa Excel Pierrot et al. (2006)
CO2SYSa MATLAB van Heuven et al. (2011)
CO2calcc Visual Basic Robbins et al. (2010)
csysd MATLAB Zeebe and Wolf-Gladrow (2001)
ODVe CCC Schlitzer (2002)
mocsyf Fortran 95 Orr and Epitalon (2015)
seacarbg R Gattuso et al. (2015)
swco2h Excel Hunter (2007); Mosley et al. (2010)
swco2h Visual Basic Hunter (2007)
PyCO2SYS Python Humphrey et al. (2020)
SOOP: Ship of Opportunity
• Commercial vessels or research vessels
• Measurement of carbon variables in the surface ocean: fCO2 (alkalinity,
pH)
ICOS-Oceans stations - SOOP
This translates to ICOS-Oceans as
1. Quantifying air-sea CO₂ Fluxes
2. Assessing Variability and Drivers
But what is with the drivers ?
FOS: Fixed Ocean Station
• Surface buoy with attached instruments
• Subsurface mooring with instruments at different depths
• Regular ship sampling programm
ICOS-Oceans stations - FOS
VLIZ
This translates to ICOS-Oceans as
1. Quantifying air-sea CO₂ Fluxes
2. Assessing Variability and Drivers
SOOP lines (class 2):
SOOP lines (class 1):
ICOS-Oceans labelling criteria
Variable uncertainty
fCO2 2 µatm
Variable uncertainty
fCO2 2 µatm
Dissolved oxygen 2 %
TA or
DIC
10 µmol kg-1
5 µmol kg-1
FOS (class 2):
FOS (class 1)
Variable Uncertainty
fCO2 10 µatm
TA or
DIC
4 µmol kg-1
2 µmol kg-1
Variable Uncertainty
fCO2 10 µatm
TA or
DIC
4 µmol kg-1
2 µmol kg-1
Two out of
[NO3, PO4, Si(OH)4]
1-3 %
The basis for the defined uncertainties is the definition of the Global Ocean
Observing System (GOOS) essential ocean variables (EOV’s) and the Global
Ocean Acidification Observing network (GOA-ON) approach of “weather” and
“climate goals (Newton et al. , 2014):
• Weather goal:
• relative spatial patterns and short-term variations
• supporting mechanistic responses to and impact on local, immediate ocean acidification
dynamics
• Climate goal:
• assess long-term trends with a defined level of confidence
• support detection of the long-term anthropogenically driven changes in hydrographic
conditions and carbon chemistry over multi-decadal time scales
ICOS-Oceans labelling criteria
Weather goal Climate goal
pH 0.02 0.003
TA, DIC 10 µmol kg-1 2 µmol kg-1
fCO2 2.5% (=10 µatm @ 400 µatm) 0.5% (=2 µatm @ 400 µatm)
SOOP lines (class 2):
SOOP lines (class 1):
ICOS-Oceans labelling criteria
Variable uncertainty
fCO2 2 µatm
Variable uncertainty
fCO2 2 µatm
Dissolved oxygen 2 %
TA or
DIC
10 µmol kg-1
5 µmol kg-1
FOS (class 2):
FOS (class 1)
Variable Uncertainty
fCO2 10 µatm
TA or
DIC
4 µmol kg-1
2 µmol kg-1
Variable Uncertainty
fCO2 10 µatm
TA or
DIC
4 µmol kg-1
2 µmol kg-1
Two out of
[NO3, PO4, Si(OH)4]
1-3 %
a. How accurately should the second
carbon variable be measured on SOOP
lines and at FOS?
b. Can fCO2 be calculated with a sufficient
uncertainty by two other carbon
parameters?
Uncertainty of the calculated parameter depends on
1. Uncertainty of input variables (measurement uncertainty)
Uncertainty of calculated values
Measurement
uncertainty DIC
fCO2
TA
fCO2
TA
DIC
pH
TA
pH
DIC
pH
fCO2
pH ± 0.004 ± 0.0025 ± 0,0026 ± 0.0062
TA
[µmol kg-1]
± 1 ± 3.4 ± 2.7 ± 21
DIC
[µmol kg-1]
± 1 ± 3.2 ± 3.8 ± 18
fCO2
[µatm]
± 0.5 ± 5.7 ± 2.1 ± 1.8
Millero, 2007
Uncertainty of calculated values
Uncertainty of the calculated parameter depends on
1. Uncertainty of input parameters (measurement uncertainty)
2. Error propagation including equilibrium constants
a. Temperature dependent
b. fCO2 dependent
Extension for CO2sys :
Calculates the uncertainty propagation taking into account uncertainties in
constants, temperature, salinity, ...
Uncertainty of calculated values
The following calculations were performed using the Matlab versions of CO2sys
(van Heuven et al. 2009; Lewis and Wallace 1998; Orr et al. 2018) and the
accompanied error calculations provided by Orr et al. (2018). The uncertainty of a
variable is noted as u(variable name).
Please note: When using the Matlab version of the error propagation (errors.mat),
be sure to update the file co2sys.mat provided by Orr et al. (2018), as there are
minor changes compared to the version of van Heuven et al. (2009).
Detailed results can be found in Steinhoff (2020), doi: 10.18160/vb7c-z758
https://otc.icos-cp.eu/  documents
f(fCO2, DIC)
u(measurements):
u(TA) = ± 3.4 µmol kg-1
u(pH) = ± 0.0025
f(fCO2, TA)
u(measurements):
u(DIC) = ± 3.2 µmol kg-1
u(pH) = ± 0.0026
f(fCO2, pH)
Resulting uncertainties
fCO2 & … Input
uncertainty
DIC
[µmo/kg]
pH TA
[µmol/kg]
DIC [µmol/kg] 5 <<0.02 <10
pH 0.001 >25 >27
TA [µmol/kg] 10 <10 <<0.02
SOOPlines
fCO2 & … Input
uncertainty
DIC
[µmo/kg]
pH TA
[µmol/kg]
DIC [µmol/kg] 5 <<0.02 <10*
pH 0.001 >30 >30
TA [µmol/kg] 10 <10* <<0.02
FOS
• Limitations of ocean fCO2 measurement capabilities at FOS mean that fluxes cannot be
determined to the accuracy desired for large scale carbon budgets. – As of today!
• When aiming for data with uncertainties fulfilling the “climate goal” these data need to be
measured. There is no combination of fCO2 and a second carbon variable that allow the
calculation of the other two variables with sufficient uncertainty. – As of today!
• Using fCO2 and pH will result in uncertainties that are above the thresholds for the
“weather goal”.
• Using two variables of the marine carbonate system to calculate fCO2 is only suitable for
FOS. There is no combination that results in an uncertainty for calculated fCO2 better
than 3.5 μatm.
Conclusion
Questions
welcome!

More Related Content

What's hot

Special rxn types
Special rxn typesSpecial rxn types
Special rxn typeszehnerm2
 
Quantifying glacial ocean carbon cycling
Quantifying glacial ocean carbon cyclingQuantifying glacial ocean carbon cycling
Quantifying glacial ocean carbon cyclingAndreas Schmittner
 
GC-PID method for the measurement of arsenic in food and juice
GC-PID method for the measurement of arsenic in food and juiceGC-PID method for the measurement of arsenic in food and juice
GC-PID method for the measurement of arsenic in food and juiceJennifer Maclachlan
 
Oral presenation AVS 2014 v3
Oral presenation AVS 2014 v3Oral presenation AVS 2014 v3
Oral presenation AVS 2014 v3Liwang Ye
 
Doreen Nabaho Cchange&amp;Catsa9 Nov
Doreen Nabaho Cchange&amp;Catsa9 NovDoreen Nabaho Cchange&amp;Catsa9 Nov
Doreen Nabaho Cchange&amp;Catsa9 NovDoreen_Nabaho
 
Uranium Concentrations measurement for Ground Water and Soil Samples in Al-Na...
Uranium Concentrations measurement for Ground Water and Soil Samples in Al-Na...Uranium Concentrations measurement for Ground Water and Soil Samples in Al-Na...
Uranium Concentrations measurement for Ground Water and Soil Samples in Al-Na...IOSR Journals
 
Carbonate removal from coastal sediments for the determination of organic c a...
Carbonate removal from coastal sediments for the determination of organic c a...Carbonate removal from coastal sediments for the determination of organic c a...
Carbonate removal from coastal sediments for the determination of organic c a...Mahbubul Hassan
 
Hawai’i Ocean Time-series (HOT) parameter mapping to Climate & Forecast (CF) ...
Hawai’i Ocean Time-series (HOT) parameter mapping to Climate & Forecast (CF) ...Hawai’i Ocean Time-series (HOT) parameter mapping to Climate & Forecast (CF) ...
Hawai’i Ocean Time-series (HOT) parameter mapping to Climate & Forecast (CF) ...FernandoPacheco890493
 
EFFECT OF RECENT LOCK DOWN ON WATER QUALITY OF RIVER GANGES
EFFECT OF RECENT LOCK DOWN ON WATER QUALITY OF RIVER GANGESEFFECT OF RECENT LOCK DOWN ON WATER QUALITY OF RIVER GANGES
EFFECT OF RECENT LOCK DOWN ON WATER QUALITY OF RIVER GANGESIIEST, Shibpur
 
Nutrient Management in Everglades Agricultural Area (EAA) Canals
Nutrient Management in Everglades Agricultural Area (EAA) CanalsNutrient Management in Everglades Agricultural Area (EAA) Canals
Nutrient Management in Everglades Agricultural Area (EAA) CanalsJaya Das
 
Graphene and ionic liquid matrices for metallodrug and bacteria analysis
Graphene and ionic liquid matrices for metallodrug and bacteria analysisGraphene and ionic liquid matrices for metallodrug and bacteria analysis
Graphene and ionic liquid matrices for metallodrug and bacteria analysisHani Nasser Abdelhamid
 
Characterization of mining tailings containing sulfides and carbonates applyi...
Characterization of mining tailings containing sulfides and carbonates applyi...Characterization of mining tailings containing sulfides and carbonates applyi...
Characterization of mining tailings containing sulfides and carbonates applyi...Judson Arantes
 
Oral presenation AVS 2013 Liwang 10-25-13
Oral presenation AVS 2013 Liwang 10-25-13Oral presenation AVS 2013 Liwang 10-25-13
Oral presenation AVS 2013 Liwang 10-25-13Liwang Ye
 
Vlada pastushenko progress on fluorine-free electropolishing
Vlada pastushenko   progress on fluorine-free electropolishingVlada pastushenko   progress on fluorine-free electropolishing
Vlada pastushenko progress on fluorine-free electropolishingthinfilmsworkshop
 

What's hot (20)

Special rxn types
Special rxn typesSpecial rxn types
Special rxn types
 
Quantifying glacial ocean carbon cycling
Quantifying glacial ocean carbon cyclingQuantifying glacial ocean carbon cycling
Quantifying glacial ocean carbon cycling
 
GC-PID method for the measurement of arsenic in food and juice
GC-PID method for the measurement of arsenic in food and juiceGC-PID method for the measurement of arsenic in food and juice
GC-PID method for the measurement of arsenic in food and juice
 
Oral presenation AVS 2014 v3
Oral presenation AVS 2014 v3Oral presenation AVS 2014 v3
Oral presenation AVS 2014 v3
 
Jim Galford
Jim GalfordJim Galford
Jim Galford
 
Index
IndexIndex
Index
 
Doreen Nabaho Cchange&amp;Catsa9 Nov
Doreen Nabaho Cchange&amp;Catsa9 NovDoreen Nabaho Cchange&amp;Catsa9 Nov
Doreen Nabaho Cchange&amp;Catsa9 Nov
 
Gas hydrates
Gas hydrates Gas hydrates
Gas hydrates
 
Petrophysic
PetrophysicPetrophysic
Petrophysic
 
Uranium Concentrations measurement for Ground Water and Soil Samples in Al-Na...
Uranium Concentrations measurement for Ground Water and Soil Samples in Al-Na...Uranium Concentrations measurement for Ground Water and Soil Samples in Al-Na...
Uranium Concentrations measurement for Ground Water and Soil Samples in Al-Na...
 
Carbonate removal from coastal sediments for the determination of organic c a...
Carbonate removal from coastal sediments for the determination of organic c a...Carbonate removal from coastal sediments for the determination of organic c a...
Carbonate removal from coastal sediments for the determination of organic c a...
 
Hawai’i Ocean Time-series (HOT) parameter mapping to Climate & Forecast (CF) ...
Hawai’i Ocean Time-series (HOT) parameter mapping to Climate & Forecast (CF) ...Hawai’i Ocean Time-series (HOT) parameter mapping to Climate & Forecast (CF) ...
Hawai’i Ocean Time-series (HOT) parameter mapping to Climate & Forecast (CF) ...
 
EFFECT OF RECENT LOCK DOWN ON WATER QUALITY OF RIVER GANGES
EFFECT OF RECENT LOCK DOWN ON WATER QUALITY OF RIVER GANGESEFFECT OF RECENT LOCK DOWN ON WATER QUALITY OF RIVER GANGES
EFFECT OF RECENT LOCK DOWN ON WATER QUALITY OF RIVER GANGES
 
Oil and gas geochemistry
Oil and gas geochemistryOil and gas geochemistry
Oil and gas geochemistry
 
Nutrient Management in Everglades Agricultural Area (EAA) Canals
Nutrient Management in Everglades Agricultural Area (EAA) CanalsNutrient Management in Everglades Agricultural Area (EAA) Canals
Nutrient Management in Everglades Agricultural Area (EAA) Canals
 
Graphene and ionic liquid matrices for metallodrug and bacteria analysis
Graphene and ionic liquid matrices for metallodrug and bacteria analysisGraphene and ionic liquid matrices for metallodrug and bacteria analysis
Graphene and ionic liquid matrices for metallodrug and bacteria analysis
 
Characterization of mining tailings containing sulfides and carbonates applyi...
Characterization of mining tailings containing sulfides and carbonates applyi...Characterization of mining tailings containing sulfides and carbonates applyi...
Characterization of mining tailings containing sulfides and carbonates applyi...
 
Ozonolysis of TME
Ozonolysis of TMEOzonolysis of TME
Ozonolysis of TME
 
Oral presenation AVS 2013 Liwang 10-25-13
Oral presenation AVS 2013 Liwang 10-25-13Oral presenation AVS 2013 Liwang 10-25-13
Oral presenation AVS 2013 Liwang 10-25-13
 
Vlada pastushenko progress on fluorine-free electropolishing
Vlada pastushenko   progress on fluorine-free electropolishingVlada pastushenko   progress on fluorine-free electropolishing
Vlada pastushenko progress on fluorine-free electropolishing
 

Similar to Steinhoff, Tobias: Uncertainty analysis for calculations of the marine carbonate system

Theetaert, Hannelore: Surface water CO₂ measurements in the North Atlantic Oc...
Theetaert, Hannelore: Surface water CO₂ measurements in the North Atlantic Oc...Theetaert, Hannelore: Surface water CO₂ measurements in the North Atlantic Oc...
Theetaert, Hannelore: Surface water CO₂ measurements in the North Atlantic Oc...Integrated Carbon Observation System (ICOS)
 
CCS_Inventories_SB24_workshop.ppt
CCS_Inventories_SB24_workshop.pptCCS_Inventories_SB24_workshop.ppt
CCS_Inventories_SB24_workshop.pptssuser8afbcb
 
Application on Semi-aerobic Landfill. Technology in in Tropical Climate: Lysi...
Application on Semi-aerobic Landfill. Technology in in Tropical Climate: Lysi...Application on Semi-aerobic Landfill. Technology in in Tropical Climate: Lysi...
Application on Semi-aerobic Landfill. Technology in in Tropical Climate: Lysi...CRL Asia
 
Predicting Operational Life of ZVI 2012
Predicting Operational Life of ZVI 2012Predicting Operational Life of ZVI 2012
Predicting Operational Life of ZVI 2012James Peale
 
Carbon dioxide transfer characteristics of hollow-fiber, composite membranes
Carbon dioxide transfer characteristics of hollow-fiber, composite membranesCarbon dioxide transfer characteristics of hollow-fiber, composite membranes
Carbon dioxide transfer characteristics of hollow-fiber, composite membranesTarun Shesh
 
Anomalous sea-air CO2 flux in the North Tropical Atlantic during 2010 evidenc...
Anomalous sea-air CO2 flux in the North Tropical Atlantic during 2010 evidenc...Anomalous sea-air CO2 flux in the North Tropical Atlantic during 2010 evidenc...
Anomalous sea-air CO2 flux in the North Tropical Atlantic during 2010 evidenc...Integrated Carbon Observation System (ICOS)
 
Modelling the Deposition of Pollutants on Habitats
Modelling the Deposition of Pollutants on HabitatsModelling the Deposition of Pollutants on Habitats
Modelling the Deposition of Pollutants on HabitatsIES / IAQM
 
Zazzeri, Giulia: Efficient sampling of atmospheric methane for radiocarbon an...
Zazzeri, Giulia: Efficient sampling of atmospheric methane for radiocarbon an...Zazzeri, Giulia: Efficient sampling of atmospheric methane for radiocarbon an...
Zazzeri, Giulia: Efficient sampling of atmospheric methane for radiocarbon an...Integrated Carbon Observation System (ICOS)
 
Tyler Johnston Thesis Defence
Tyler Johnston Thesis DefenceTyler Johnston Thesis Defence
Tyler Johnston Thesis DefenceTyler Johnston
 
Lessons learned from injecting liquid activated carbon suspension
Lessons learned from injecting liquid activated carbon suspensionLessons learned from injecting liquid activated carbon suspension
Lessons learned from injecting liquid activated carbon suspensionAntea Group
 
Watson, Andrew: Substantially larger estimates of global ocean-atmosphere flu...
Watson, Andrew: Substantially larger estimates of global ocean-atmosphere flu...Watson, Andrew: Substantially larger estimates of global ocean-atmosphere flu...
Watson, Andrew: Substantially larger estimates of global ocean-atmosphere flu...Integrated Carbon Observation System (ICOS)
 

Similar to Steinhoff, Tobias: Uncertainty analysis for calculations of the marine carbonate system (20)

Robert Healy IAC 2010
Robert Healy IAC 2010Robert Healy IAC 2010
Robert Healy IAC 2010
 
Theetaert, Hannelore: Surface water CO₂ measurements in the North Atlantic Oc...
Theetaert, Hannelore: Surface water CO₂ measurements in the North Atlantic Oc...Theetaert, Hannelore: Surface water CO₂ measurements in the North Atlantic Oc...
Theetaert, Hannelore: Surface water CO₂ measurements in the North Atlantic Oc...
 
CO2QUEST - Techno-economic Assessment of Impact of CO2 Impurities on its Tran...
CO2QUEST - Techno-economic Assessment of Impact of CO2 Impurities on its Tran...CO2QUEST - Techno-economic Assessment of Impact of CO2 Impurities on its Tran...
CO2QUEST - Techno-economic Assessment of Impact of CO2 Impurities on its Tran...
 
CCS_Inventories_SB24_workshop.ppt
CCS_Inventories_SB24_workshop.pptCCS_Inventories_SB24_workshop.ppt
CCS_Inventories_SB24_workshop.ppt
 
CO2QUEST WP3 – Effect of impurities in CO2 stream on Storage Reservoir Perfor...
CO2QUEST WP3 – Effect of impurities in CO2 stream on Storage Reservoir Perfor...CO2QUEST WP3 – Effect of impurities in CO2 stream on Storage Reservoir Perfor...
CO2QUEST WP3 – Effect of impurities in CO2 stream on Storage Reservoir Perfor...
 
Application on Semi-aerobic Landfill. Technology in in Tropical Climate: Lysi...
Application on Semi-aerobic Landfill. Technology in in Tropical Climate: Lysi...Application on Semi-aerobic Landfill. Technology in in Tropical Climate: Lysi...
Application on Semi-aerobic Landfill. Technology in in Tropical Climate: Lysi...
 
CO2QUEST: Techno-economic Assessment of CO2 Quality Effect on its Storage and...
CO2QUEST: Techno-economic Assessment of CO2 Quality Effect on its Storage and...CO2QUEST: Techno-economic Assessment of CO2 Quality Effect on its Storage and...
CO2QUEST: Techno-economic Assessment of CO2 Quality Effect on its Storage and...
 
Alternative Point-Source CO2 Mitigation: Spontaneous Conversion of CO2 to Oce...
Alternative Point-Source CO2 Mitigation: Spontaneous Conversion of CO2 to Oce...Alternative Point-Source CO2 Mitigation: Spontaneous Conversion of CO2 to Oce...
Alternative Point-Source CO2 Mitigation: Spontaneous Conversion of CO2 to Oce...
 
20320130405005
2032013040500520320130405005
20320130405005
 
Predicting Operational Life of ZVI 2012
Predicting Operational Life of ZVI 2012Predicting Operational Life of ZVI 2012
Predicting Operational Life of ZVI 2012
 
Carbon dioxide transfer characteristics of hollow-fiber, composite membranes
Carbon dioxide transfer characteristics of hollow-fiber, composite membranesCarbon dioxide transfer characteristics of hollow-fiber, composite membranes
Carbon dioxide transfer characteristics of hollow-fiber, composite membranes
 
Snehesh-Presentation-PDF
Snehesh-Presentation-PDFSnehesh-Presentation-PDF
Snehesh-Presentation-PDF
 
Anomalous sea-air CO2 flux in the North Tropical Atlantic during 2010 evidenc...
Anomalous sea-air CO2 flux in the North Tropical Atlantic during 2010 evidenc...Anomalous sea-air CO2 flux in the North Tropical Atlantic during 2010 evidenc...
Anomalous sea-air CO2 flux in the North Tropical Atlantic during 2010 evidenc...
 
Modelling the Deposition of Pollutants on Habitats
Modelling the Deposition of Pollutants on HabitatsModelling the Deposition of Pollutants on Habitats
Modelling the Deposition of Pollutants on Habitats
 
Bakker, Dorothee C. E.: The value chain of ocean CO2 measurements
Bakker, Dorothee C. E.: The value chain of ocean CO2 measurementsBakker, Dorothee C. E.: The value chain of ocean CO2 measurements
Bakker, Dorothee C. E.: The value chain of ocean CO2 measurements
 
Presentation_(B4-1).pdf
Presentation_(B4-1).pdfPresentation_(B4-1).pdf
Presentation_(B4-1).pdf
 
Zazzeri, Giulia: Efficient sampling of atmospheric methane for radiocarbon an...
Zazzeri, Giulia: Efficient sampling of atmospheric methane for radiocarbon an...Zazzeri, Giulia: Efficient sampling of atmospheric methane for radiocarbon an...
Zazzeri, Giulia: Efficient sampling of atmospheric methane for radiocarbon an...
 
Tyler Johnston Thesis Defence
Tyler Johnston Thesis DefenceTyler Johnston Thesis Defence
Tyler Johnston Thesis Defence
 
Lessons learned from injecting liquid activated carbon suspension
Lessons learned from injecting liquid activated carbon suspensionLessons learned from injecting liquid activated carbon suspension
Lessons learned from injecting liquid activated carbon suspension
 
Watson, Andrew: Substantially larger estimates of global ocean-atmosphere flu...
Watson, Andrew: Substantially larger estimates of global ocean-atmosphere flu...Watson, Andrew: Substantially larger estimates of global ocean-atmosphere flu...
Watson, Andrew: Substantially larger estimates of global ocean-atmosphere flu...
 

More from Integrated Carbon Observation System (ICOS)

Kirtzel, Hans-Jürgen: FM-CW Wind Lidar “Wind Ranger” and Multi-Path Sonic “uS...
Kirtzel, Hans-Jürgen: FM-CW Wind Lidar “Wind Ranger” and Multi-Path Sonic “uS...Kirtzel, Hans-Jürgen: FM-CW Wind Lidar “Wind Ranger” and Multi-Path Sonic “uS...
Kirtzel, Hans-Jürgen: FM-CW Wind Lidar “Wind Ranger” and Multi-Path Sonic “uS...Integrated Carbon Observation System (ICOS)
 
Dukat, Paulina: How does drought impact water and carbon exchange in the temp...
Dukat, Paulina: How does drought impact water and carbon exchange in the temp...Dukat, Paulina: How does drought impact water and carbon exchange in the temp...
Dukat, Paulina: How does drought impact water and carbon exchange in the temp...Integrated Carbon Observation System (ICOS)
 
van Zwieten, Ruthger: Performance assessment of the mobile g4301 Cavity Ring-...
van Zwieten, Ruthger: Performance assessment of the mobile g4301 Cavity Ring-...van Zwieten, Ruthger: Performance assessment of the mobile g4301 Cavity Ring-...
van Zwieten, Ruthger: Performance assessment of the mobile g4301 Cavity Ring-...Integrated Carbon Observation System (ICOS)
 
McKinley, Galen: Physical knowledge to improve and extend machine learning pC...
McKinley, Galen: Physical knowledge to improve and extend machine learning pC...McKinley, Galen: Physical knowledge to improve and extend machine learning pC...
McKinley, Galen: Physical knowledge to improve and extend machine learning pC...Integrated Carbon Observation System (ICOS)
 
Kowalska, Natalia: Does Below-Above Canopy Air Mass Decoupling Impact Tempera...
Kowalska, Natalia: Does Below-Above Canopy Air Mass Decoupling Impact Tempera...Kowalska, Natalia: Does Below-Above Canopy Air Mass Decoupling Impact Tempera...
Kowalska, Natalia: Does Below-Above Canopy Air Mass Decoupling Impact Tempera...Integrated Carbon Observation System (ICOS)
 
Cinelli, Giorgia: Use of outdoor radon activity concentration and radon flux ...
Cinelli, Giorgia: Use of outdoor radon activity concentration and radon flux ...Cinelli, Giorgia: Use of outdoor radon activity concentration and radon flux ...
Cinelli, Giorgia: Use of outdoor radon activity concentration and radon flux ...Integrated Carbon Observation System (ICOS)
 
McKain, Kathryn: One year of aircraft vertical profile measurements of CO2, C...
McKain, Kathryn: One year of aircraft vertical profile measurements of CO2, C...McKain, Kathryn: One year of aircraft vertical profile measurements of CO2, C...
McKain, Kathryn: One year of aircraft vertical profile measurements of CO2, C...Integrated Carbon Observation System (ICOS)
 
Leseurre, Coraline: Investigation of the Suess Effect in the Southern Indian ...
Leseurre, Coraline: Investigation of the Suess Effect in the Southern Indian ...Leseurre, Coraline: Investigation of the Suess Effect in the Southern Indian ...
Leseurre, Coraline: Investigation of the Suess Effect in the Southern Indian ...Integrated Carbon Observation System (ICOS)
 
Havu, Minttu: Spatial variability of local carbon emissions and sinks in Hels...
Havu, Minttu: Spatial variability of local carbon emissions and sinks in Hels...Havu, Minttu: Spatial variability of local carbon emissions and sinks in Hels...
Havu, Minttu: Spatial variability of local carbon emissions and sinks in Hels...Integrated Carbon Observation System (ICOS)
 
Suto, Hiroshi: The Greenhouse gas Observations of Biospheric and Local Emissi...
Suto, Hiroshi: The Greenhouse gas Observations of Biospheric and Local Emissi...Suto, Hiroshi: The Greenhouse gas Observations of Biospheric and Local Emissi...
Suto, Hiroshi: The Greenhouse gas Observations of Biospheric and Local Emissi...Integrated Carbon Observation System (ICOS)
 
Moonen, Robbert: First results of CO2 and H2O isotope-Flux Measurements in th...
Moonen, Robbert: First results of CO2 and H2O isotope-Flux Measurements in th...Moonen, Robbert: First results of CO2 and H2O isotope-Flux Measurements in th...
Moonen, Robbert: First results of CO2 and H2O isotope-Flux Measurements in th...Integrated Carbon Observation System (ICOS)
 
Mikaloff-Fletcher, Sara: MethaneSAT: Towards detecting agricultural emissions...
Mikaloff-Fletcher, Sara: MethaneSAT: Towards detecting agricultural emissions...Mikaloff-Fletcher, Sara: MethaneSAT: Towards detecting agricultural emissions...
Mikaloff-Fletcher, Sara: MethaneSAT: Towards detecting agricultural emissions...Integrated Carbon Observation System (ICOS)
 
Leggett, Graham: LI-COR Trace Gas Analyzers - Applications for Measurements o...
Leggett, Graham: LI-COR Trace Gas Analyzers - Applications for Measurements o...Leggett, Graham: LI-COR Trace Gas Analyzers - Applications for Measurements o...
Leggett, Graham: LI-COR Trace Gas Analyzers - Applications for Measurements o...Integrated Carbon Observation System (ICOS)
 
Kikaj, Dafina: Importance of harmonizing radon datasets for reducing uncertai...
Kikaj, Dafina: Importance of harmonizing radon datasets for reducing uncertai...Kikaj, Dafina: Importance of harmonizing radon datasets for reducing uncertai...
Kikaj, Dafina: Importance of harmonizing radon datasets for reducing uncertai...Integrated Carbon Observation System (ICOS)
 
Grünwald, Thomas: Windthrow turns a former old spruce forest into a net CO2 s...
Grünwald, Thomas: Windthrow turns a former old spruce forest into a net CO2 s...Grünwald, Thomas: Windthrow turns a former old spruce forest into a net CO2 s...
Grünwald, Thomas: Windthrow turns a former old spruce forest into a net CO2 s...Integrated Carbon Observation System (ICOS)
 
Davis, Kenneth: Applications of eddy covariance flux measurements in quantify...
Davis, Kenneth: Applications of eddy covariance flux measurements in quantify...Davis, Kenneth: Applications of eddy covariance flux measurements in quantify...
Davis, Kenneth: Applications of eddy covariance flux measurements in quantify...Integrated Carbon Observation System (ICOS)
 

More from Integrated Carbon Observation System (ICOS) (20)

Röttger, Annette: Overview on radon metrology
Röttger, Annette:  Overview on radon metrologyRöttger, Annette:  Overview on radon metrology
Röttger, Annette: Overview on radon metrology
 
Kirtzel, Hans-Jürgen: FM-CW Wind Lidar “Wind Ranger” and Multi-Path Sonic “uS...
Kirtzel, Hans-Jürgen: FM-CW Wind Lidar “Wind Ranger” and Multi-Path Sonic “uS...Kirtzel, Hans-Jürgen: FM-CW Wind Lidar “Wind Ranger” and Multi-Path Sonic “uS...
Kirtzel, Hans-Jürgen: FM-CW Wind Lidar “Wind Ranger” and Multi-Path Sonic “uS...
 
Jocher, Georg: Addressing forest canopy decoupling on a global scale
Jocher, Georg: Addressing forest canopy decoupling on a global scaleJocher, Georg: Addressing forest canopy decoupling on a global scale
Jocher, Georg: Addressing forest canopy decoupling on a global scale
 
Dukat, Paulina: How does drought impact water and carbon exchange in the temp...
Dukat, Paulina: How does drought impact water and carbon exchange in the temp...Dukat, Paulina: How does drought impact water and carbon exchange in the temp...
Dukat, Paulina: How does drought impact water and carbon exchange in the temp...
 
van Zwieten, Ruthger: Performance assessment of the mobile g4301 Cavity Ring-...
van Zwieten, Ruthger: Performance assessment of the mobile g4301 Cavity Ring-...van Zwieten, Ruthger: Performance assessment of the mobile g4301 Cavity Ring-...
van Zwieten, Ruthger: Performance assessment of the mobile g4301 Cavity Ring-...
 
Vainio, Elisa: Carbon Action – Towards regenerative agriculture in Finland
Vainio, Elisa: Carbon Action – Towards regenerative agriculture in FinlandVainio, Elisa: Carbon Action – Towards regenerative agriculture in Finland
Vainio, Elisa: Carbon Action – Towards regenerative agriculture in Finland
 
McKinley, Galen: Physical knowledge to improve and extend machine learning pC...
McKinley, Galen: Physical knowledge to improve and extend machine learning pC...McKinley, Galen: Physical knowledge to improve and extend machine learning pC...
McKinley, Galen: Physical knowledge to improve and extend machine learning pC...
 
Kowalska, Natalia: Does Below-Above Canopy Air Mass Decoupling Impact Tempera...
Kowalska, Natalia: Does Below-Above Canopy Air Mass Decoupling Impact Tempera...Kowalska, Natalia: Does Below-Above Canopy Air Mass Decoupling Impact Tempera...
Kowalska, Natalia: Does Below-Above Canopy Air Mass Decoupling Impact Tempera...
 
Cinelli, Giorgia: Use of outdoor radon activity concentration and radon flux ...
Cinelli, Giorgia: Use of outdoor radon activity concentration and radon flux ...Cinelli, Giorgia: Use of outdoor radon activity concentration and radon flux ...
Cinelli, Giorgia: Use of outdoor radon activity concentration and radon flux ...
 
McKain, Kathryn: One year of aircraft vertical profile measurements of CO2, C...
McKain, Kathryn: One year of aircraft vertical profile measurements of CO2, C...McKain, Kathryn: One year of aircraft vertical profile measurements of CO2, C...
McKain, Kathryn: One year of aircraft vertical profile measurements of CO2, C...
 
Leseurre, Coraline: Investigation of the Suess Effect in the Southern Indian ...
Leseurre, Coraline: Investigation of the Suess Effect in the Southern Indian ...Leseurre, Coraline: Investigation of the Suess Effect in the Southern Indian ...
Leseurre, Coraline: Investigation of the Suess Effect in the Southern Indian ...
 
Havu, Minttu: Spatial variability of local carbon emissions and sinks in Hels...
Havu, Minttu: Spatial variability of local carbon emissions and sinks in Hels...Havu, Minttu: Spatial variability of local carbon emissions and sinks in Hels...
Havu, Minttu: Spatial variability of local carbon emissions and sinks in Hels...
 
Veerkamp, Hannes: Measurements of the CO2 gas transfer velocity in Jade Bay
Veerkamp, Hannes: Measurements of the CO2 gas transfer velocity in Jade BayVeerkamp, Hannes: Measurements of the CO2 gas transfer velocity in Jade Bay
Veerkamp, Hannes: Measurements of the CO2 gas transfer velocity in Jade Bay
 
Suto, Hiroshi: The Greenhouse gas Observations of Biospheric and Local Emissi...
Suto, Hiroshi: The Greenhouse gas Observations of Biospheric and Local Emissi...Suto, Hiroshi: The Greenhouse gas Observations of Biospheric and Local Emissi...
Suto, Hiroshi: The Greenhouse gas Observations of Biospheric and Local Emissi...
 
Moonen, Robbert: First results of CO2 and H2O isotope-Flux Measurements in th...
Moonen, Robbert: First results of CO2 and H2O isotope-Flux Measurements in th...Moonen, Robbert: First results of CO2 and H2O isotope-Flux Measurements in th...
Moonen, Robbert: First results of CO2 and H2O isotope-Flux Measurements in th...
 
Mikaloff-Fletcher, Sara: MethaneSAT: Towards detecting agricultural emissions...
Mikaloff-Fletcher, Sara: MethaneSAT: Towards detecting agricultural emissions...Mikaloff-Fletcher, Sara: MethaneSAT: Towards detecting agricultural emissions...
Mikaloff-Fletcher, Sara: MethaneSAT: Towards detecting agricultural emissions...
 
Leggett, Graham: LI-COR Trace Gas Analyzers - Applications for Measurements o...
Leggett, Graham: LI-COR Trace Gas Analyzers - Applications for Measurements o...Leggett, Graham: LI-COR Trace Gas Analyzers - Applications for Measurements o...
Leggett, Graham: LI-COR Trace Gas Analyzers - Applications for Measurements o...
 
Kikaj, Dafina: Importance of harmonizing radon datasets for reducing uncertai...
Kikaj, Dafina: Importance of harmonizing radon datasets for reducing uncertai...Kikaj, Dafina: Importance of harmonizing radon datasets for reducing uncertai...
Kikaj, Dafina: Importance of harmonizing radon datasets for reducing uncertai...
 
Grünwald, Thomas: Windthrow turns a former old spruce forest into a net CO2 s...
Grünwald, Thomas: Windthrow turns a former old spruce forest into a net CO2 s...Grünwald, Thomas: Windthrow turns a former old spruce forest into a net CO2 s...
Grünwald, Thomas: Windthrow turns a former old spruce forest into a net CO2 s...
 
Davis, Kenneth: Applications of eddy covariance flux measurements in quantify...
Davis, Kenneth: Applications of eddy covariance flux measurements in quantify...Davis, Kenneth: Applications of eddy covariance flux measurements in quantify...
Davis, Kenneth: Applications of eddy covariance flux measurements in quantify...
 

Recently uploaded

Pulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceuticsPulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceuticssakshisoni2385
 
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCRStunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCRDelhi Call girls
 
Forensic Biology & Its biological significance.pdf
Forensic Biology & Its biological significance.pdfForensic Biology & Its biological significance.pdf
Forensic Biology & Its biological significance.pdfrohankumarsinghrore1
 
Chemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdfChemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdfSumit Kumar yadav
 
Animal Communication- Auditory and Visual.pptx
Animal Communication- Auditory and Visual.pptxAnimal Communication- Auditory and Visual.pptx
Animal Communication- Auditory and Visual.pptxUmerFayaz5
 
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...Sérgio Sacani
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptxanandsmhk
 
DIFFERENCE IN BACK CROSS AND TEST CROSS
DIFFERENCE IN  BACK CROSS AND TEST CROSSDIFFERENCE IN  BACK CROSS AND TEST CROSS
DIFFERENCE IN BACK CROSS AND TEST CROSSLeenakshiTyagi
 
Chromatin Structure | EUCHROMATIN | HETEROCHROMATIN
Chromatin Structure | EUCHROMATIN | HETEROCHROMATINChromatin Structure | EUCHROMATIN | HETEROCHROMATIN
Chromatin Structure | EUCHROMATIN | HETEROCHROMATINsankalpkumarsahoo174
 
Biological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfBiological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfmuntazimhurra
 
Pests of mustard_Identification_Management_Dr.UPR.pdf
Pests of mustard_Identification_Management_Dr.UPR.pdfPests of mustard_Identification_Management_Dr.UPR.pdf
Pests of mustard_Identification_Management_Dr.UPR.pdfPirithiRaju
 
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdfPests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdfPirithiRaju
 
Natural Polymer Based Nanomaterials
Natural Polymer Based NanomaterialsNatural Polymer Based Nanomaterials
Natural Polymer Based NanomaterialsAArockiyaNisha
 
Botany krishna series 2nd semester Only Mcq type questions
Botany krishna series 2nd semester Only Mcq type questionsBotany krishna series 2nd semester Only Mcq type questions
Botany krishna series 2nd semester Only Mcq type questionsSumit Kumar yadav
 
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.Nitya salvi
 
Disentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTDisentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTSérgio Sacani
 
Formation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksFormation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksSérgio Sacani
 
Zoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfZoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfSumit Kumar yadav
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...Sérgio Sacani
 

Recently uploaded (20)

Pulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceuticsPulmonary drug delivery system M.pharm -2nd sem P'ceutics
Pulmonary drug delivery system M.pharm -2nd sem P'ceutics
 
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCRStunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
 
The Philosophy of Science
The Philosophy of ScienceThe Philosophy of Science
The Philosophy of Science
 
Forensic Biology & Its biological significance.pdf
Forensic Biology & Its biological significance.pdfForensic Biology & Its biological significance.pdf
Forensic Biology & Its biological significance.pdf
 
Chemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdfChemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdf
 
Animal Communication- Auditory and Visual.pptx
Animal Communication- Auditory and Visual.pptxAnimal Communication- Auditory and Visual.pptx
Animal Communication- Auditory and Visual.pptx
 
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
 
DIFFERENCE IN BACK CROSS AND TEST CROSS
DIFFERENCE IN  BACK CROSS AND TEST CROSSDIFFERENCE IN  BACK CROSS AND TEST CROSS
DIFFERENCE IN BACK CROSS AND TEST CROSS
 
Chromatin Structure | EUCHROMATIN | HETEROCHROMATIN
Chromatin Structure | EUCHROMATIN | HETEROCHROMATINChromatin Structure | EUCHROMATIN | HETEROCHROMATIN
Chromatin Structure | EUCHROMATIN | HETEROCHROMATIN
 
Biological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfBiological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdf
 
Pests of mustard_Identification_Management_Dr.UPR.pdf
Pests of mustard_Identification_Management_Dr.UPR.pdfPests of mustard_Identification_Management_Dr.UPR.pdf
Pests of mustard_Identification_Management_Dr.UPR.pdf
 
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdfPests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
 
Natural Polymer Based Nanomaterials
Natural Polymer Based NanomaterialsNatural Polymer Based Nanomaterials
Natural Polymer Based Nanomaterials
 
Botany krishna series 2nd semester Only Mcq type questions
Botany krishna series 2nd semester Only Mcq type questionsBotany krishna series 2nd semester Only Mcq type questions
Botany krishna series 2nd semester Only Mcq type questions
 
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.
❤Jammu Kashmir Call Girls 8617697112 Personal Whatsapp Number 💦✅.
 
Disentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTDisentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOST
 
Formation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksFormation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disks
 
Zoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfZoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdf
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
 

Steinhoff, Tobias: Uncertainty analysis for calculations of the marine carbonate system

  • 1. Tobias Steinhoff1,2, Ingunn Skjelvan1, Siv Lauvset1 and Matthew Humphreys3 Uncertainty analysis for calculations of the marine carbonate system 1NORCE Norwegian Research Centre AS, Bjerknes Centre for Climate Research, Bergen, Norway 2GEOMAR, Helmholtz Centre for Ocean Research Kiel, Kiel, Germany 3NIOZ Royal Netherlands Institute for Sea Research and Utrecht University, Texel, the Netherlands Contact: Tobias Steinhoff, tost@norceresearch.no
  • 2. Overall ICOS goal: “ICOS shall provide harmonised and high-precision scientific data on carbon cycle and greenhouse gas budget and perturbations” Goal of ICOS-Oceans stations This translates to ICOS-Oceans as 1. Quantifying air-sea CO₂ Fluxes 2. Assessing Variability and Drivers
  • 3. The marine carbonate system H2CO3 ⇋ HCO3 − + H+ ⇋ CO3 2− + 2H+ Atmosphere Ocean fCO2 DIC (Dissolved Inorganic Carbon) TA (Total Alkalinity) pH CO2 aq + H2O ⇋ H2CO3 ↓↑ CO2 g
  • 4. Orr The marine carbonate system pCO2 DIC (Dissolved Inorganic Carbon) TA (Total Alkalinity) pHBy knowing two variables, the other two can be calculated Package Language Reference CO2SYSa QBasic Lewis and Wallace (1998) CO2SYSb Excel Pelletier et al. (2007) CO2SYSa Excel Pierrot et al. (2006) CO2SYSa MATLAB van Heuven et al. (2011) CO2calcc Visual Basic Robbins et al. (2010) csysd MATLAB Zeebe and Wolf-Gladrow (2001) ODVe CCC Schlitzer (2002) mocsyf Fortran 95 Orr and Epitalon (2015) seacarbg R Gattuso et al. (2015) swco2h Excel Hunter (2007); Mosley et al. (2010) swco2h Visual Basic Hunter (2007) PyCO2SYS Python Humphrey et al. (2020)
  • 5. SOOP: Ship of Opportunity • Commercial vessels or research vessels • Measurement of carbon variables in the surface ocean: fCO2 (alkalinity, pH) ICOS-Oceans stations - SOOP This translates to ICOS-Oceans as 1. Quantifying air-sea CO₂ Fluxes 2. Assessing Variability and Drivers But what is with the drivers ?
  • 6. FOS: Fixed Ocean Station • Surface buoy with attached instruments • Subsurface mooring with instruments at different depths • Regular ship sampling programm ICOS-Oceans stations - FOS VLIZ This translates to ICOS-Oceans as 1. Quantifying air-sea CO₂ Fluxes 2. Assessing Variability and Drivers
  • 7. SOOP lines (class 2): SOOP lines (class 1): ICOS-Oceans labelling criteria Variable uncertainty fCO2 2 µatm Variable uncertainty fCO2 2 µatm Dissolved oxygen 2 % TA or DIC 10 µmol kg-1 5 µmol kg-1 FOS (class 2): FOS (class 1) Variable Uncertainty fCO2 10 µatm TA or DIC 4 µmol kg-1 2 µmol kg-1 Variable Uncertainty fCO2 10 µatm TA or DIC 4 µmol kg-1 2 µmol kg-1 Two out of [NO3, PO4, Si(OH)4] 1-3 %
  • 8. The basis for the defined uncertainties is the definition of the Global Ocean Observing System (GOOS) essential ocean variables (EOV’s) and the Global Ocean Acidification Observing network (GOA-ON) approach of “weather” and “climate goals (Newton et al. , 2014): • Weather goal: • relative spatial patterns and short-term variations • supporting mechanistic responses to and impact on local, immediate ocean acidification dynamics • Climate goal: • assess long-term trends with a defined level of confidence • support detection of the long-term anthropogenically driven changes in hydrographic conditions and carbon chemistry over multi-decadal time scales ICOS-Oceans labelling criteria Weather goal Climate goal pH 0.02 0.003 TA, DIC 10 µmol kg-1 2 µmol kg-1 fCO2 2.5% (=10 µatm @ 400 µatm) 0.5% (=2 µatm @ 400 µatm)
  • 9. SOOP lines (class 2): SOOP lines (class 1): ICOS-Oceans labelling criteria Variable uncertainty fCO2 2 µatm Variable uncertainty fCO2 2 µatm Dissolved oxygen 2 % TA or DIC 10 µmol kg-1 5 µmol kg-1 FOS (class 2): FOS (class 1) Variable Uncertainty fCO2 10 µatm TA or DIC 4 µmol kg-1 2 µmol kg-1 Variable Uncertainty fCO2 10 µatm TA or DIC 4 µmol kg-1 2 µmol kg-1 Two out of [NO3, PO4, Si(OH)4] 1-3 % a. How accurately should the second carbon variable be measured on SOOP lines and at FOS? b. Can fCO2 be calculated with a sufficient uncertainty by two other carbon parameters?
  • 10. Uncertainty of the calculated parameter depends on 1. Uncertainty of input variables (measurement uncertainty) Uncertainty of calculated values Measurement uncertainty DIC fCO2 TA fCO2 TA DIC pH TA pH DIC pH fCO2 pH ± 0.004 ± 0.0025 ± 0,0026 ± 0.0062 TA [µmol kg-1] ± 1 ± 3.4 ± 2.7 ± 21 DIC [µmol kg-1] ± 1 ± 3.2 ± 3.8 ± 18 fCO2 [µatm] ± 0.5 ± 5.7 ± 2.1 ± 1.8 Millero, 2007
  • 11. Uncertainty of calculated values Uncertainty of the calculated parameter depends on 1. Uncertainty of input parameters (measurement uncertainty) 2. Error propagation including equilibrium constants a. Temperature dependent b. fCO2 dependent
  • 12. Extension for CO2sys : Calculates the uncertainty propagation taking into account uncertainties in constants, temperature, salinity, ... Uncertainty of calculated values The following calculations were performed using the Matlab versions of CO2sys (van Heuven et al. 2009; Lewis and Wallace 1998; Orr et al. 2018) and the accompanied error calculations provided by Orr et al. (2018). The uncertainty of a variable is noted as u(variable name). Please note: When using the Matlab version of the error propagation (errors.mat), be sure to update the file co2sys.mat provided by Orr et al. (2018), as there are minor changes compared to the version of van Heuven et al. (2009). Detailed results can be found in Steinhoff (2020), doi: 10.18160/vb7c-z758 https://otc.icos-cp.eu/  documents
  • 13. f(fCO2, DIC) u(measurements): u(TA) = ± 3.4 µmol kg-1 u(pH) = ± 0.0025
  • 14. f(fCO2, TA) u(measurements): u(DIC) = ± 3.2 µmol kg-1 u(pH) = ± 0.0026
  • 16. Resulting uncertainties fCO2 & … Input uncertainty DIC [µmo/kg] pH TA [µmol/kg] DIC [µmol/kg] 5 <<0.02 <10 pH 0.001 >25 >27 TA [µmol/kg] 10 <10 <<0.02 SOOPlines fCO2 & … Input uncertainty DIC [µmo/kg] pH TA [µmol/kg] DIC [µmol/kg] 5 <<0.02 <10* pH 0.001 >30 >30 TA [µmol/kg] 10 <10* <<0.02 FOS
  • 17. • Limitations of ocean fCO2 measurement capabilities at FOS mean that fluxes cannot be determined to the accuracy desired for large scale carbon budgets. – As of today! • When aiming for data with uncertainties fulfilling the “climate goal” these data need to be measured. There is no combination of fCO2 and a second carbon variable that allow the calculation of the other two variables with sufficient uncertainty. – As of today! • Using fCO2 and pH will result in uncertainties that are above the thresholds for the “weather goal”. • Using two variables of the marine carbonate system to calculate fCO2 is only suitable for FOS. There is no combination that results in an uncertainty for calculated fCO2 better than 3.5 μatm. Conclusion