Simulated Response of the Arctic Freshwater Budget to Extreme NAO Wind Forcing

Condron, Alan; Winsor, Peter; Hill, Christopher N.; Menemenlis, Dimitris

doi:10.1175/2008jcli2626.1

Cited by 52 publications

(63 citation statements)

References 69 publications

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“…We provide here a brief description of the physical-biogeochemical coupled model used to generate the "RIV run". The MITgcm (MIT general circulation model) ocean-sea ice model (Nguyen et al, 2009(Nguyen et al, , 2011Losch et al, 2010;Condron et al, 2009) has a variable hor- (Menemenlis et al, 2005). Atmospheric forcings (10 m winds, 2 m air temperature and humidity, and downward long-and shortwave radiation) are taken from the 6-hourly data sets of the Japanese 25-year ReAnalysis (JRA-25; Onogi et al, 2007).…”

Section: -D Physical-biogeochemical Model Datamentioning

confidence: 99%

Towards an assessment of riverine dissolved organic carbon in surface waters of the western Arctic Ocean based on remote sensing and biogeochemical modeling

Fouest

Matsuoka²,

Manizza

et al. 2018

Biogeosciences

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Abstract. Future climate warming of the Arctic could potentially enhance the load of terrigenous dissolved organic carbon (tDOC) of Arctic rivers due to increased carbon mobilization within watersheds. A greater flux of tDOC might impact the biogeochemical processes of the coastal Arctic Ocean (AO) and ultimately its capacity to absorb atmospheric CO 2 . In this study, we show that sea-surface tDOC concentrations simulated by a physical-biogeochemical coupled model in the Canadian Beaufort Sea for 2003-2011 compare favorably with estimates retrieved by satellite imagery. Our results suggest that, over spring-summer, tDOC of riverine origin contributes to 35 % of primary production and that an equivalent of ∼ 10 % of tDOC is exported westwards with the potential of fueling the biological production of the eastern Alaskan nearshore waters. The combination of model and satellite data provides promising results to extend this work to the entire AO so as to quantify, in conjunction with in situ data, the expected changes in tDOC fluxes and their potential impact on the AO biogeochemistry at basin scale.

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Section: -D Physical-biogeochemical Model Datamentioning

confidence: 99%

Towards an assessment of riverine dissolved organic carbon in surface waters of the western Arctic Ocean based on remote sensing and biogeochemical modeling

Fouest

Matsuoka²,

Manizza

et al. 2018

Biogeosciences

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“…Fluxes of momentum into ice due to the overlying atmospheric winds and momentum fluxes between sea ice and the ocean are calculated by solving for the momentum balance at each surface grid column (Hibler and Bryan, 1987). This model configuration was previously used to study the Arctic freshwater budget (Condron et al, 2009). Modelling studies of Condron et al (2009) compared to observations by Serreze et al (2006) concluded that this model configuration is able to realistically represent the freshwater budget of the AO, including the import and export of freshwater from the Bering and Fram straits and from the Canadian Archipelago.…”

Section: The Physical Modelmentioning

confidence: 99%

Modelling the impact of riverine DON removal by marine bacterioplankton on primary production in the Arctic Ocean

et al. 2015

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Abstract. The planktonic and biogeochemical dynamics of the Arctic shelves exhibit a strong variability in response to Arctic warming. In this study, we employ a biogeochemical model coupled to a pan-Arctic ocean-sea ice model (MITgcm) to elucidate the processes regulating the primary production (PP) of phytoplankton, bacterioplankton (BP), and their interactions. The model explicitly simulates and quantifies the contribution of usable dissolved organic nitrogen (DON) drained by the major circum-Arctic rivers to PP and BP in a scenario of melting sea ice (1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011). Model simulations suggest that, on average between 1998 and 2011, the removal of usable riverine dissolved organic nitrogen (RDON) by bacterioplankton is responsible for a ∼ 26 % increase in the annual BP for the whole Arctic Ocean. With respect to total PP, the model simulates an increase of ∼ 8 % on an annual basis and of ∼ 18 % in summer. Recycled ammonium is responsible for the PP increase. The recycling of RDON by bacterioplankton promotes higher BP and PP, but there is no significant temporal trend in the BP : PP ratio within the ice-free shelves over the 1998-2011 period. This suggests no significant evolution in the balance between autotrophy and heterotrophy in the last decade, with a constant annual flux of RDON into the coastal ocean, although changes in RDON supply and further reduction in sea-ice cover could potentially alter this delicate balance.

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“…But importantly, it is recognized that extra exports of sea ice, episodic or otherwise, or a more continuous nature of the freshening and flushing of water from the Arctic basin to the northern North Atlantic basins (e.g., Condron et al 2009) would serve as key negative feedbacks for the MOC/THC oscillation. Dickson et al (2007) highlighted the potentially greater importance of combined ice and freshwater outflows from the Arctic Ocean basin through the Canadian Arctic Archipelago/Nares Strait/Baffin Bay/Davis Strait pathways under a warm Arctic and low-ice-volume climatic regime.…”

Section: Empirical Evidence and Mechanistic Explanation For Interrelamentioning

confidence: 99%

“…7 Detailed computer modeling (Proshutinsky et al, 2002;Moon and Johnson, 2005;Dukhovskoy et al, 2006;Condron et al, 2009) shows how the oscillations between the anticyclonic and cyclonic circulation regimes, involving contraction and expansion of the Beaufort Gyre, are affecting how Arctic sea ice and freshwater are stored and released to the northern North Atlantic Ocean. (2007) suggest that the vigor of ISOW is controlled by the transport and characteristics of the Labrador Sea water farther to the west (Jungclaus et al, 2005).…”

Section: Empirical Evidence and Mechanistic Explanation For Interrelamentioning

confidence: 99%

“…7 See also discussion and estimates in Wadley and Bigg (2002), Jones et al (2003), Cuny et al (2005), Prinsenberg and Hamilton (2005), Kwok (2006Kwok ( , 2007, Munchow et al (2006), Serreze et al (2006), Zweng and Munchow (2006), Greene et al (2008), and Condron et al (2009). 8 This dipole index was defined as the difference of the annual-mean SSTs from the 40-60°N, 60-10°W box and 40-60°S, 50°W-0° box in Latif et al (2006), and is slightly different from a previous definition of the difference between the 40-60°N, 50-10°W box and 10-40°S, 50°W-10° box by Latif et al (2004).…”

Section: Notesmentioning

confidence: 99%

See 1 more Smart Citation

Solar Arctic-Mediated Climate Variation on Multidecadal to Centennial Timescales: Empirical Evidence, Mechanistic Explanation, and Testable Consequences

Soon

2009

Physical Geography

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showed that the variable total solar irradiance (TSI) could explain, rather surprisingly, well over 75% of the variance for the decadally smoothed Arctic-wide surface air temperature over the past 130 years. The present paper provides additional empirical evidence for this physical connection, both through several newly published high-resolution paleo-proxy records and through robust climate-process modeling outputs. This paper proposes a mechanistic explanation, involving: (1) the variable strength of the Atlantic meridional overturning circulation (MOC) or thermohaline circulation (THC); (2) the shift and modulation of the Inter-Tropical Convergence Zone (ITCZ) rainbelt and tropical Atlantic ocean conditions; and (3) the intensity of the wind-driven subtropical and subpolar gyre circulation, across both the North Atlantic and North Pacific. A unique test of this proposed solar TSI-Arctic thermal-salinity-cryospheric coupling mechanism is the 5-to 20-year delay effect on the peak Atlantic MOC flow rate centered near 30-35°N, and on sea surface temperature (SST) for the tropical Atlantic. The solar Arctic-mediated climate mechanism on multidecadal to centennial timescales presented here can be compared with and differentiated from both the related solar TSI and UV irradiance forcing on decadal timescales. The ultimate goal of this research is to gain sufficient mechanistic details so that the proposed solar-Arctic climate connection on multidecadal to centennial timescales can be confirmed or falsified. A further incentive is to expand this physical connection to longer, millennial-scale variability as motivated by the multiscale climate interactions shown by Braun et al. (2005), Weng (2005), and Dima and Lohmann (2009) . THE SOLAR ARCTIC-MEDIATED CLIMATE VARIATION ON MULTIDECADAL TO CENTENNIAL TIMESCALESPaleoclimatic proxies show ubiquitous, multidecadal to centennial-scale variabilities that may ultimately be associated with the persistent forcing by solar irradiance variability as properly projected and amplified through the annual progression of the Earth around the Sun (Table A1, Appendix). The present study indirectly assumes the optimal climatic response filter of the Earth ocean-atmosphere-ice system to peak around such multidecadal to centennial scales, which can be taken to be roughly 50 to 500 years (i.e., much less than 1000 years). The challenge of this research, then, must lie in the identification of relevant and/or dominant centers of climatic action (COAs; Table 1 lists acronyms used in this paper) and interactions among those COAs (Christoforou and Hameed, 1997;Rodionov et al., 2005;Huth et al., 2006;Lim et al., 2006). Huth et al. (2006) found a general tendency for atmospheric circulation modes 1 to be more zonal, with COAs covering wider areas and ARCTIC-MEDIATED CLIMATE VARIATION 145 teleconnection among different regions spanning longer distances when solar activity is strong. The hard task of separating the dynamics of the teleconnection from the actual physical mechanisms at CO...

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Simulated Response of the Arctic Freshwater Budget to Extreme NAO Wind Forcing

Cited by 52 publications

References 69 publications

Towards an assessment of riverine dissolved organic carbon in surface waters of the western Arctic Ocean based on remote sensing and biogeochemical modeling

Towards an assessment of riverine dissolved organic carbon in surface waters of the western Arctic Ocean based on remote sensing and biogeochemical modeling

Modelling the impact of riverine DON removal by marine bacterioplankton on primary production in the Arctic Ocean

Solar Arctic-Mediated Climate Variation on Multidecadal to Centennial Timescales: Empirical Evidence, Mechanistic Explanation, and Testable Consequences

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