Enhanced Net Community Production With Sea Ice Loss in the Western Arctic Ocean Uncovered by Machine‐Learning‐Based Mapping DOI Creative Commons
Tianyu Zhou, Yun Li, Zhangxian Ouyang

et al.

Geophysical Research Letters, Journal Year: 2024, Volume and Issue: 51(22)

Published: Nov. 23, 2024

Abstract In the Arctic Ocean (AO), net community production () has displayed spatially heterogeneous responses to sea ice reduction and associated environmental changes. Using a random forest machine learning model trained with >42,000 in situ measurements concurrent, collocated predictors, we reconstructed 19 years of 8‐day, 6‐km maps. During 2015–2021, integrated between late‐May early‐September over western AO was per year, interannual variations positively tracking open water area. While relationship area quasi‐linear at high latitudes, strong nonlinearity detected on inflow shelf. The highlights that increase resulted from gain could be compounded by sea‐ice loss induced ecosystem adjustments. Additional retrospective analysis for 2003–2014 suggests potential long‐term export efficiency loss.

Language: Английский

Seasonality of pCO2 and air-sea CO2 fluxes in the Central Labrador Sea DOI Creative Commons
Ricardo Arruda, Dariia Atamanchuk, Claire Boteler

et al.

Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 11

Published: Oct. 25, 2024

The Labrador Sea in the subpolar North Atlantic is known for its large air-to-sea CO 2 fluxes, which can be around 40% higher than other regions of intense ocean uptake like Eastern Pacific and within Northwest Atlantic. This region also a hot-spot storage anthropogenic . Deep water formed here, so that dissolved gas by surface directly connects to deeper waters, helping determine how much atmospheric may sequestered (or released) deep ocean. Currently, Central acts as year-round sink , with intensification driven biological production spring lasting through summer fall. Observational estimates air-sea fluxes rely upon very limited, scattered data distinct lack wintertime observations. Here, we compile observations p from moorings underway measurements, including previously unreported data, between 2000 2020, create baseline seasonal climatology Sea. used reference compare against observational-based statistical regional collection global products. comparison reveals systematic differences representation cycle uncertainties magnitude fluxes. analysis paramount importance long-term, seasonally-resolved coverage this order accurately quantify size present sensitivity climate perturbations.

Language: Английский

Citations

1

Enhanced Net Community Production With Sea Ice Loss in the Western Arctic Ocean Uncovered by Machine‐Learning‐Based Mapping DOI Creative Commons
Tianyu Zhou, Yun Li, Zhangxian Ouyang

et al.

Geophysical Research Letters, Journal Year: 2024, Volume and Issue: 51(22)

Published: Nov. 23, 2024

Abstract In the Arctic Ocean (AO), net community production () has displayed spatially heterogeneous responses to sea ice reduction and associated environmental changes. Using a random forest machine learning model trained with >42,000 in situ measurements concurrent, collocated predictors, we reconstructed 19 years of 8‐day, 6‐km maps. During 2015–2021, integrated between late‐May early‐September over western AO was per year, interannual variations positively tracking open water area. While relationship area quasi‐linear at high latitudes, strong nonlinearity detected on inflow shelf. The highlights that increase resulted from gain could be compounded by sea‐ice loss induced ecosystem adjustments. Additional retrospective analysis for 2003–2014 suggests potential long‐term export efficiency loss.

Language: Английский

Citations

0