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SOCAT version 2019: 26 million in situ surface ocean CO 2 observations Dorothee Bakker 1 ([email protected]), Siv Lauvset 2,3,4 , Rik Wanninkhof 5 , Kevin O’Brien 6,7 , Are Olsen 3,4 , Benjamin Pfeil 3,4 , Rocio Castaño-Primo 3,4 , Kim Currie 8 , Steve Jones 3,4 , Maren Karlsen 3,4 , Alex Kozyr 9 , Nicolas Metzl 10 , Shin-ichiro Nakaoka 11 , Denis Pierrot 5,12 , Karl Smith 6,7 , Kevin Sullivan 5,12 , Adrienne Sutton 6 , Colm Sweeney 13 , Taro Takahashi 14 , Maciej Telszewski 15 , Bronte Tilbrook 16,17 , Chisato Wada 11 , and all >100 SOCAT contributors Fair Data Use: To generously acknowledge the contribution of SOCAT scientists by invitation to co-authorship, especially for data providers in regional studies, and/or reference to relevant scientific articles. Acknowledgements: We thank the numerous contributors, funding agencies, IOCCP, SOLAS and IMBER. Documentation V3-V2019: Bakker et al. (2016) ESSD 8: 383-413; V2: Bakker et al. (2014) ESSD 6:69- 90; V1: Pfeil et al. (2013) ESSD 5:125-143; Sabine et al. (2013) ESSD 5:145-153. References: Eyring et al., 2016 a ; Landschützer et al., 2014 b , 2018 c, ; Landschützer and McKinley, 2019 d ; Laruelle et al., 2018 e ; Lauvset et al., 2015 f ; Le Quéré et al., 2018 g ; Rödenbeck et al., 2014 h , 2015 i ; Tans and Keeling, 2018 j . Williams et al., 2017 k . Affiliations: 1 UEA, UK ([email protected]); 2 NORCE, 3 UiB and 4 BCCR, Norway; 5 NOAA- AOML, USA; 6 NOAA-PMEL and 7 JISAO, UW, USA; 8 NIWA, New Zealand; 9 NOAA-NCEI, USA; 10 LOCEAN, France; 11 NIES, Japan; 12 CIMAS, 13 NOAA-ESRL and 14 LDEO, USA; 15 IOCCP, Poland, 16 CSIRO and 17 ACECRC, Australia. Abstract - The Surface Ocean CO 2 Atlas (SOCAT, www.socat.info) documents the increase in surface ocean CO 2 (carbon dioxide), a critical measure as the oceans are taking up one quarter of the global CO 2 emissions from human activity g . SOCAT version 2019 has 25.7 million quality- controlled surface ocean fCO 2 (fugacity of CO 2 ) observations from 1957 to 2019 for the global oceans and coastal seas. SOCAT enables quantification of the ocean carbon sink and ocean acidification, as well as evaluation of sensor data and ocean biogeochemical models. SOCAT represents a milestone in biogeochemical and climate research. SOCAT informs policy and high-profile climate negotiations. Maintenance and annual updates of the SOCAT product require sustained funding and community involvement. Key features Community-based ‘volunteer’ submission and quality control Synthesis and gridded, quality controlled products of in situ surface ocean fCO 2 measurements from ships, moorings and other platforms for the global oceans and coastal seas: v2019 : 25.7 million fCO 2 , 1957-2019, v6 (2018): 23.4 million fCO 2 , 1957-2017, v1 (2011): 6.3 million fCO 2 , 1968-2007 with an estimated accuracy of < 5 μatm. Plus 1.7 million values with an accuracy of 5 to 10 μatm Online viewers and data download (www.socat.info) No quality control (QC) for sea surface temperature and salinity New contributors welcome Data submission for v2020 by 15/01/2020, QC by 31/03/2020 Scientific findings, applications and impact Documents the increase in global surface ocean CO 2 b,c . Data gaps in space and time addressed through advanced interpolation schemes b,h,i . Large year-to-year variation in the global ocean carbon sink h,i Models underestimate variation in ocean carbon sink h . Quantification of the ocean carbon sink b,h,i , ocean acidification f and priors for the land carbon sink h . Informs mapping products b,h,i , the Surface Ocean pCO 2 Mapping Intercomparison i and the Global Carbon Budget (GCP) g , evaluation of sensor data (BGC Argo floats k , gliders) and models g , incl. CMIP a . Cited by >260 peer-reviewed scientific articles and >80 reports. Annual public releases as a Voluntary Commitment to the 2017 UN Ocean Conference for SDG 14.3 (#OceanAction20464). Fig. 2. Number of surface water fCO 2 values per year in SOCAT versions. Fig. 3. Percentage of fCO 2 values with an estimated accuracy of < 2, 5 and 10 μatm and their data set flags for years in version 2019. Fig. 1. a) Newly added and b) all in situ surface water fCO 2 observations (colour coded, μatm) in version 2019. Squares indicate moorings. Fig. 4. Anthropogenic ocean carbon uptake in the 2018 Global Carbon Budget g from SOCAT-based mapping b,h (red), models (purple), model ensemble mean (black) and its uncertainty (shading). From d . 60°N 60°S 30°E 150°E 90°W 30°E 60°N 60°S 260 300 340 380 420 440 v2019 all v2019 new Fig. 5. Decadal distribution of surface water fCO 2 (μatm) in version 6. Dark blue bars are the number of decadal mean fCO 2 values per 4 μatm range for the data-set-weighted gridded product. Light blue bars indicate the mean atmospheric mole fraction (μmol mol -1 ) at Mauna Loa j . Subtracting 6 μmol mol - 1 from the mole fraction roughly gives fCO 2air . 4 1 3 2 5
Transcript
Page 1: SOCAT version 2019: 26 million in situ surface ocean CO2 … · SOCAT version 2019: 26 million in situ surface ocean CO 2 observations Dorothee Bakker1 (d.bakker@uea.ac.uk), Siv Lauvset2,3,4,

SOCAT version 2019:

26 million in situ surface ocean CO2 observations Dorothee Bakker1 ([email protected]), Siv Lauvset2,3,4, Rik Wanninkhof5, Kevin O’Brien6,7, Are Olsen3,4, Benjamin Pfeil3,4,

Rocio Castaño-Primo3,4, Kim Currie8, Steve Jones3,4, Maren Karlsen3,4, Alex Kozyr9, Nicolas Metzl10, Shin-ichiro Nakaoka11, Denis Pierrot5,12,

Karl Smith6,7, Kevin Sullivan5,12, Adrienne Sutton6, Colm Sweeney13, Taro Takahashi14, Maciej Telszewski15, Bronte Tilbrook16,17, Chisato Wada11,

and all >100 SOCAT contributors

Fair Data Use: To generously acknowledge the contribution of SOCAT scientists by invitation to co-authorship, especially for data

providers in regional studies, and/or reference to relevant scientific articles. Acknowledgements: We thank the numerous contributors, funding

agencies, IOCCP, SOLAS and IMBER. Documentation V3-V2019: Bakker et al. (2016) ESSD 8: 383-413; V2: Bakker et al. (2014) ESSD 6:69-

90; V1: Pfeil et al. (2013) ESSD 5:125-143; Sabine et al. (2013) ESSD 5:145-153. References: Eyring et al., 2016a; Landschützer et al., 2014b,

2018c,; Landschützer and McKinley, 2019d; Laruelle et al., 2018e; Lauvset et al., 2015f; Le Quéré et al., 2018g; Rödenbeck et al., 2014h, 2015i;

Tans and Keeling, 2018j. Williams et al., 2017k. Affiliations: 1UEA, UK ([email protected]); 2NORCE, 3UiB and 4BCCR, Norway; 5NOAA-

AOML, USA; 6NOAA-PMEL and 7JISAO, UW, USA; 8NIWA, New Zealand; 9NOAA-NCEI, USA; 10LOCEAN, France; 11NIES, Japan; 12CIMAS,13NOAA-ESRL and 14LDEO, USA; 15IOCCP, Poland, 16CSIRO and 17ACECRC, Australia.

Abstract - The Surface Ocean CO2 Atlas (SOCAT, www.socat.info) documents the increase in surface ocean CO2 (carbon dioxide), a critical

measure as the oceans are taking up one quarter of the global CO2 emissions from human activityg. SOCAT version 2019 has 25.7 million quality-

controlled surface ocean fCO2 (fugacity of CO2) observations from 1957 to 2019 for the global oceans and coastal seas. SOCAT enables

quantification of the ocean carbon sink and ocean acidification, as well as evaluation of sensor data and ocean biogeochemical models. SOCAT

represents a milestone in biogeochemical and climate research. SOCAT informs policy and high-profile climate negotiations. Maintenance and

annual updates of the SOCAT product require sustained funding and community involvement.

Key features

• Community-based ‘volunteer’ submission and quality control

• Synthesis and gridded, quality controlled products of in situ

surface ocean fCO2 measurements from ships, moorings and

other platforms for the global oceans and coastal seas:

v2019 : 25.7 million fCO2, 1957-2019,

v6 (2018): 23.4 million fCO2, 1957-2017,

v1 (2011): 6.3 million fCO2, 1968-2007

with an estimated accuracy of < 5 μatm.

• Plus 1.7 million values with an accuracy of 5 to 10 μatm

• Online viewers and data download (www.socat.info)

• No quality control (QC) for sea surface temperature and salinity

• New contributors welcome

• Data submission for v2020 by 15/01/2020, QC by 31/03/2020

Scientific findings, applications and impact

• Documents the increase in global surface ocean CO2b,c.

• Data gaps in space and time addressed through advanced

interpolation schemesb,h,i.

• Large year-to-year variation in the global ocean carbon sinkh,i

• Models underestimate variation in ocean carbon sinkh.

• Quantification of the ocean carbon sinkb,h,i, ocean acidificationf

and priors for the land carbon sinkh.

• Informs mapping productsb,h,i, the Surface Ocean pCO2

Mapping Intercomparisoni and the Global Carbon Budget

(GCP)g, evaluation of sensor data (BGC Argo floatsk, gliders)

and modelsg, incl. CMIPa.

• Cited by >260 peer-reviewed scientific articles and >80 reports.

• Annual public releases as a Voluntary Commitment to the 2017

UN Ocean Conference for SDG 14.3 (#OceanAction20464).

Fig. 2. Number of surface water fCO2

values per year in SOCAT versions.

Fig. 3. Percentage of fCO2 values with an

estimated accuracy of < 2, 5 and 10

μatm and their data set flags for years in

version 2019.

Fig. 1. a) Newly added and b) all in situ

surface water fCO2 observations (colour

coded, µatm) in version 2019. Squares

indicate moorings.

Fig. 4. Anthropogenic ocean carbon

uptake in the 2018 Global Carbon

Budgetg from SOCAT-based mappingb,h

(red), models (purple), model ensemble

mean (black) and its uncertainty

(shading). Fromd.

60°N

60°S

30°E 150°E 90°W 30°E

60°N

60°S

260 300 340 380 420 440

v2019 all

v2019 new

Fig. 5. Decadal distribution of surface water fCO2

(μatm) in version 6. Dark blue bars are the number

of decadal mean fCO2 values per 4 μatm range for

the data-set-weighted gridded product. Light blue

bars indicate the mean atmospheric mole fraction

(μmol mol-1) at Mauna Loaj. Subtracting 6 μmol mol-

1 from the mole fraction roughly gives fCO2air.

4

1

3

2 5

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