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

Decreased Air‐Sea CO2 ${\mathbf{\text{CO}}}_{\mathbf{2}}$ Flux During the Persistent Marine Heatwaves in the Yellow Sea and East China Sea DOI

G Ren,

Rong Na, Shaoqing Zhang

et al.

Journal of Geophysical Research Oceans, Journal Year: 2025, Volume and Issue: 130(4)

Published: April 1, 2025

Abstract Marine heatwaves (MHWs) exert a significant influence on marine ecosystem, especially in marginal seas where carbonate processes are intricately linked to temperature variations. However, how MHWs affect the seas, such as Yellow Sea (YS) and East China (ECS), remains unclear. Here, we employ physical‐biogeochemical model simulate aiming systematically quantify impacts of persistent (PMHWs) air‐sea flux () anomaly YS ECS. Results reveal that due reduced wind speed elevated during PMHWs, ocean reservoir experiences dramatic decrease. In summer when releases CO 2 atmosphere, suppressed outgassing induced by decreased counteracts resulted from high temperature. winter, both factors suppress absorption atmosphere ocean. addition, spatial pattern is dominated partial pressure surface water (). While thermal effects have contribution 61% 33% ECS positive anomaly, non‐thermal primarily driven alkalinity play more vital role amplifying (61% 90% respectively). Furthermore, horizontal advection emerges dominant process modulating variations ECS, with 72 ± 17% 75 60% respectively. These findings underscore importance understanding physical mechanisms behind PMHWs analyzing its ecological within coastal environments.

Language: Английский

Citations

0
Marine Heatwave and Terrestrial Drought Reduced CO2 Uptake in the East China Sea in 2022 DOI Creative Commons
Shujie Yu, Zhixuan Wang, Zhiting Jiang

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(5), P. 849 - 849

Published: Feb. 29, 2024

Against the background of climate warming, marine heatwaves (MHWs) and terrestrial drought events have become increasingly frequent in recent decades. However, combined effects MHWs on CO2 uptake marginal seas are still unclear. The East China Sea (ECS) experienced an intense long-lasting MHW accompanied by extreme Changjiang basin summer 2022. In this study, we employed multi-source satellite remote sensing products to reveal patterns, magnitude, potential drivers flux changes ECS resulting from compounding extremes. reduced 17.0% (1.06 Tg C) latter half 2022 River plume region shifted a sink source (releasing 0.11 July-September. majority ECS, positive sea surface temperature (SST) anomaly during diminished solubility seawater, thereby reducing uptake. Moreover, reduction nutrient input associated with drought, which is unfavorable phytoplankton growth, further capacity Meanwhile, doubled for offshore waters continental shelf July-September 2022, indicating complexity heterogeneity impacts climatic seas. This study great significance improving estimation results fluxes understanding sea–air exchanges against global change.

Language: Английский

Citations

2
A mapped dataset of surface ocean acidification indicators in large marine ecosystems of the United States DOI Creative Commons
Jonathan D. Sharp, Li‐Qing Jiang, Brendan R. Carter

et al.

Scientific Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: July 2, 2024

Abstract Mapped monthly data products of surface ocean acidification indicators from 1998 to 2022 on a 0.25° by spatial grid have been developed for eleven U.S. large marine ecosystems (LMEs). The were constructed using observations the Surface Ocean CO 2 Atlas, co-located properties, and two types machine learning algorithms: Gaussian mixture models organize LMEs into clusters similar environmental variability random forest regressions (RFRs) that trained applied within each cluster spatiotemporally interpolate observational data. products, called RFR-LMEs, averaged regional timeseries summarize status in coastal waters, showing domain-wide carbon dioxide partial pressure increase 1.4 ± 0.4 μatm yr −1 pH decrease 0.0014 0.0004 . RFR-LMEs evaluated via comparisons discrete shipboard data, fixed timeseries, other mapped chemistry products. Regionally RFR-LME are provided online through NOAA National Marine Ecosystem Status web portal.

Language: Английский

Citations

2
High‐Resolution Neural Network Demonstrates Strong CO2 Source‐Sink Juxtaposition in the Coastal Zone DOI Creative Commons
Patrick J. Duke, Roberta C. Hamme, Debby Ianson

et al.

Journal of Geophysical Research Oceans, Journal Year: 2024, Volume and Issue: 129(7)

Published: July 1, 2024

Abstract The role of coastal oceans in regulating atmospheric carbon dioxide remains poorly quantified and understood. Here, we use a two‐step neural network approach to generate estimates from sparse observational data the Northeast Pacific Ocean at an unprecedented spatial resolution 1/12° with coverage nearshore (0–25 km offshore). We compiled partial pressure ( p CO 2 ) observations as well range predictor variables including satellite‐based physical oceanographic reanalysis products. With representing processes affecting , created non‐linear relationships interpolate 1998 2019. Compared situ shipboard mooring observations, our product captures broad patterns seasonal cycle variability well. A sensitivity analysis identifies that parameters responsible for network's ability capture regional are associated mechanistic processes, mixed layer deepening, mesoscale eddies, gyre upwelling. Using wind speed calculated air‐sea fluxes. report anticorrelation between annual flux its amplitude relationship driven by circulation, opposing upwelling/relaxation versus downwelling, effects winter mixing primary productivity. show inclusion net outgassing fluxes lowers overall flux. Overall, results suggest region is sink (−0.7 mol m −2 yr −1 trends indicating increasing oceanic uptake due strong connectivity subsurface waters.

Language: Английский

Citations

2
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