9 research outputs found
Simulated sea surface pCO2 by a data-driven model in the western Arctic Ocean 1994-2019
This archived NetCDF file (pCO2_daily_1994_2019_western_Arctic_Ocean.nc) contains the daily sea surface partial pressure of CO2 (pCO2, Unit: µatm) for cells at a 1° by 1° spatial resolution of the simulation period (9496 days, from January 1st 1994 to December 31st 2019) in the western Arctic Ocean (65°N-85°N, 180°E-235°E). The pCO2 field was generated by a data-driven dynamic model described in the manuscript “The changing CO2 sink in the western Arctic Ocean from 1994 to 2019”. The size of the matrix containing the results is 1100 by 9496. The coordinates of all the 1100 cells are provided in the 'latitudes' and 'longitudes' variables
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Long-Term Alkalinity Decrease and Acidification of Estuaries in Northwestern Gulf of Mexico
More than four decades of alkalinity
and pH data (late 1960s to
2010) from coastal bays along the northwestern Gulf of Mexico were
analyzed for temporal changes across a climatic gradient of decreasing
rainfall and freshwater inflow, from northeast to southwest. The majority
(16 out of 27) of these bays (including coastal waters) showed a long-term
reduction in alkalinity at a rate of 3.0–21.6 μM yr<sup>–1</sup>. Twenty-two bays exhibited pH decreases at a rate
of 0.0014–0.0180 yr<sup>–1</sup>. In contrast, a northernmost
coastal bay exhibited increases in both alkalinity and pH. Overall,
the two rates showed a significant positive correlation, indicating
that most of these bays, especially those at lower latitudes, have
been experiencing long-term acidification. The observed alkalinity
decrease may be caused by reduced riverine alkalinity export, a result
of precipitation decline under drought conditions, and freshwater
diversion for human consumption, as well as calcification in these
bays. A decrease in alkalinity inventory and accompanying acidification
may have negative impacts on shellfish production in these waters.
In addition, subsequent reduction in alkalinity export from these
bays to the adjacent coastal ocean may also decrease the buffer capacity
of the latter against future acidification
Sea-ice loss amplifies summertime decadal CO2 increase in the western Arctic Ocean
http://www.godac.jamstec.go.jp/darwin/cruise/mirai/mr98-06/ehttp://www.godac.jamstec.go.jp/darwin/cruise/mirai/mr99-k05_leg2/ehttp://www.godac.jamstec.go.jp/darwin/cruise/mirai/mr00-k06/ehttp://www.godac.jamstec.go.jp/darwin/cruise/mirai/mr04-05/ehttp://www.godac.jamstec.go.jp/darwin/cruise/mirai/mr06-04_leg2/ehttp://www.godac.jamstec.go.jp/darwin/cruise/mirai/mr09-03_leg2/ehttp://www.godac.jamstec.go.jp/darwin/cruise/mirai/mr10-05_leg2/ehttp://www.godac.jamstec.go.jp/darwin/cruise/mirai/mr12-e03/
Surface Ocean CO2 Atlas (SOCAT) V6
The Surface Ocean CO2 Atlas (SOCAT) is a synthesis activity by the international marine carbon research community (>100 contributors). SOCAT version 6 has 23.4 million quality-controlled, surface ocean fCO2 (fugacity of carbon dioxide) observations from 1957 to 2017 for the global oceans and coastal seas. Calibrated sensor data are also available. Automation allows annual, public releases. SOCAT data is discoverable, accessible and citable. SOCAT enables quantification of the ocean carbon sink and ocean acidification and evaluation of ocean biogeochemical models. SOCAT represents a milestone in biogeochemical and climate research and in informing policy
Surface Ocean CO2 Atlas (SOCAT) V6
The Surface Ocean CO2 Atlas (SOCAT) is a synthesis activity by the international marine carbon research community (>100 contributors). SOCAT version 6 has 23.4 million quality-controlled, surface ocean fCO2 (fugacity of carbon dioxide) observations from 1957 to 2017 for the global oceans and coastal seas. Calibrated sensor data are also available. Automation allows annual, public releases. SOCAT data is discoverable, accessible and citable. SOCAT enables quantification of the ocean carbon sink and ocean acidification and evaluation of ocean biogeochemical models. SOCAT represents a milestone in biogeochemical and climate research and in informing policy. 424 datasets Version 5: https://doi.pangaea.de/10.1594/PANGAEA.877863 Version 4: https://doi.pangaea.de/10.1594/PANGAEA.866856 Version 3: https://doi.pangaea.de/10.1594/PANGAEA.849770 Version 2: https://doi.org/10.1594/PANGAEA.81515