Spatiotemporal variability of riverine heat
According to the CHANGE simulations, an average of 94.4 × 1018 J year−1 of Qrh was delivered to the Arctic river mouths from 1980 to 2015 (Fig. 1C), which is equivalent to an annual heat flux of 3.0 TW. This estimate is similar to the 3.2 TW estimate obtained by Whitefield et al. (15) based on observations from 30 Arctic rivers. Our analysis showed an increasing Qrh trend of 0.25 ± 0.09 × 1018 J year−1 during this period (Fig. 2A). This Qrh contribution to the Arctic Ocean energy budget is sizable, constituting about 6.8% of oceanic heat inputs from the Atlantic and Pacific oceans (18)—enough to melt 0.31 × 106 km2 of 1-m-thick ice. The Qrh is characterized by strong seasonal variability; whereby, approximately 65% of the annual Qrh input occurs from May to July (Fig. 2B) when the Arctic shelf is mostly covered by sea ice, thus warming the shelf waters (4). Independent observations of melting dates derived from the satellite record show a 10- to 30-day delay in seasonal retreat of the ice cover over the shelf seas relative to thawing of nearby Arctic land areas from 1980 to 2015 (fig. S1). The spring thaw signal over Arctic land areas coincides with seasonal snowmelt and the freshwater runoff pulse to Arctic rivers (19, 20); the earlier terrestrial thaw onset indicates a Qrh contribution to ocean warming under the ice cover, whereby Qrh is an important heat source for preconditioning sea ice melt in spring and early summer.
Decay of sea ice under impact of riverine heat
The simulated annual sea ice thickness decay caused by Qrh indicates that the largest sea ice reduction impact occurs around the mouths of the largest Arctic rivers (Fig. 1, A and B). An overall maximum annual reduction in the estimated regional mean sea ice thickness of more than 10% (~10 cm) occurred in near-shore part of the Laptev Sea and was associated with a relatively large Qrh input from local rivers (mostly the Lena River). In this region, the impact of Qrh on sea ice can be traced as far as 80°N during summer, demonstrating that Qrh eventually causes sea ice decay over the outer shelf rather than being only confined to a narrow coastal zone (Fig. 1, A and B).
Our analysis shows that from 1980 to 2015, Qrh caused a sea ice extent retreat of 0.05 × 106 km2 over the six Arctic shelf regions in September (fig. S2). Anomalous ice volume (AIV), representing the annual sea ice reduction driven by Qrh over the Arctic shelves (Fig. 1C), averaged 63.3 km3 from 1980 to 2015 (Fig. 2D). The linear AIV trend suggests a sea ice volume decay rate of 1.24 ± 0.25 km3 year−1 (P < 0.01) from 1980 to 2015 (Fig. 2D). Seasonally, the maximum AIV is found in July (Fig. 2E). The AIV shows strong interannual variability ranging from 25 to 100 km3 and large regional differences (Fig. 1C). The largest AIV of 25 km3 is found in the Laptev Sea, which has the highest Qrh among the six shelf regions (Fig. 1C) (compared, for example, with AIV = 5 km3 in the Beaufort Sea).
However, the relationship between AIV and Qrh is complex; for instance, AIV in the East Siberian Sea, despite relatively low Qrh, is larger than the AIV in the Kara Sea (Fig. 1C). This provides important evidence indicating why AIV was higher in the 1980s and 1990s compared with the more recent decades (Fig. 2D), despite having lower Qrh (Fig. 2A). Consolidated sea ice conditions near riverine heat sources (river mouths) in the 1980s and 1990s (Fig. 2C) led to an enhanced Qrh impact on sea ice through intensive lateral and bottom sea ice melt (3, 6), while earlier ice retreat and more extensive ice-free area in recent decades (Fig. 2C) decreased the direct contact of Qrh with sea ice during the melting season, hence lowering AIV (Fig. 2D). Significant correlation (r = 0.60, P < 0.01) between simulated AIV and observed sea ice extent in early summer supports this finding (Fig. 2C). However, according to our model simulations, the increasing Qrh trend (Fig. 2A) and decrease in heat expenditures on sea ice melt in the vicinity of river mouths enhanced ocean warming and additional heat released to the atmosphere. The consequences of these changes are discussed in the following sections.
Warming of shelf waters caused by riverine heat
The anomalous ocean warming resulting from the increasing impact of Qrh averaged over 1980–2015 was estimated as Qow = 48.2 × 1018 J year−1. This warming spreads from the river mouths toward the outer shelf and also vertically, occupying the entire water column, with greater spread in the recent decades relative to the 1980s (Fig. 3). For example, the anomalous warming of the ocean surface layer reached 76°N in August in the Laptev Sea, where the thin (~5 m) surface layer showed anomalous warming (+1.5°C) from 2006 to 2015 (Fig. 3). Whitefield et al. (15) simulated a ~150-km spread of warm surface riverine water into the Beaufort Sea, which was associated with intensive mixing with deeper water layers at the shelf break. Our analysis shows a similar lateral Qrh spread of up to ~200-km offshore from the Mackenzie River outlet (Fig. 1B). The associated warming resulted in earlier breakup of sea ice by ~5 to 14 days over the coastal shelf and by ~3 days over the outer shelf for the 2006–2015 period relative to 1981–1990 (fig. S3). Both satellite records (fig. S1) and model simulations (fig. S3) also show a widespread lengthening of the ice-free season from 1981–1990 to 2006–2015, consistent with the earlier ice breakup and later freezing. The anomalous warming of the water column toward the outer shelf and bottom layer persists until September, as shown for the 2006–2015 period (Fig. 3), although the impact of Qrh on sea ice reduction in the outer shelves is not as large (Fig. 1, A and B) because the sea ice has already retreated further northward (Fig. 3). Further details of the heat contributed to ocean warming are discussed in the next section.
Ocean–sea ice–atmosphere heat balance change under riverine heat impacts
Our results provide compelling evidence that Qrh contributes to sea ice decay (Fig. 2D) and ocean warming (Qow; Fig. 3) over the six Arctic shelf regions (Fig. 1C). However, we also found that the sea ice retreat triggered feedbacks resulting from the sensitivity of the Arctic ocean–sea ice–atmosphere system to the state of the sea ice cover. A representative example is the ice-albedo feedback. By comparing the two numerical experiments, we found that sea ice decay and associated changes in surface albedo (21, 22) resulted in anomalous absorption of additional shortwave radiation (Qsw), which also led to further ocean warming and sea ice melt. In addition, sea ice retreat prompted the release of ocean heat into the atmosphere (Qao) through ice-free areas via contributions of upward longwave radiation and sensible and latent heat fluxes. Furthermore, we quantify the consequences of this increasing Qrh influx. Since the outer boundaries of the shelf regions are far away from the area where impact of Qrh is significant, heat losses through lateral exchanges between the shelves and deeper ocean areas were assumed to be negligible.
The ocean–sea ice–atmosphere system heat balance, including sources (Qrh + Qsw) and sinks (Qim + Qow + Qao) induced by riverine heat influx, averaged for 1980–2015 in the six Arctic shelf regions (Fig. 1C) is summarized in Fig. 4. Here, the ice-albedo feedback triggered by sea ice retreat resulted in 60.6 × 1018 J year−1 of radiative heat (Qsw) pumped into the system in addition to the 94.4 × 1018 J year−1 of Qrh delivered by warm riverine waters. Qsw represents the difference in net solar radiation between the two model experiments over the six Arctic shelf regions. Together, Qrh + Qsw represent total system sources in annual heating of 155.0 × 1018 J year−1—an astonishing 64% increase in net energy inputs due to the positive ice-albedo feedback.
The ocean–sea ice–atmosphere system heat sources were balanced by several sinks, including heat sinks to sea ice melt (Qim) estimated as Lf ∙ ρi ∙ A ∙ hi, where Lf is the latent heat of fusion (333.7 × 103 J kg−1), ρi is the ice density (917 kg m−3), A is the ice area (5.18 × 1012 m2), and hi is the melted ice thickness (meters). The resulting Qim estimate of 19.4 × 1018 J year−1 constituted 12% of Qrh + Qsw (Fig. 4). Most notable, the effect of the Qim heat sink occurred in spring and early summer, accounting for 9% of Qrh during May and August (Fig. 2E). The sea ice reduction by Qrh in winter (Fig. 2E) represents an amplified impact of summer ocean warming across the season (6) and is corroborated by observations showing a thinning shelf ice thickness trend in winter (23).
The anomalous heat sink for ocean warming (Qow) was estimated as 48.2 × 1018 J year−1 (Fig. 4) for the upper 100-m ocean layer (or surface to bottom layer, whichever is shallower) averaged over the six Arctic shelf regions, with an increasing Qow heat sink trend of 0.16 ± 0.09 × 1018 J year−1 from 1980 to 2015 (fig. S4A). The maximum Qow occurred in late summer (i.e., August or September; fig. S5B), which is a seasonally delayed manifestation of the increased ice melt in spring and early summer due to the peak of Qrh. In addition, the ocean warming caused a ~4-day delay of freezing during sea ice formation around large river mouths (fig. S3). The later freezing and earlier breakup trend yielded a longer open water period of up to 15 days in the inner parts of the shelf seas (fig. S3).
Most of the heat stored in the upper ocean in summer is lost to the atmosphere during autumn and winter by the upward propagation of longwave radiation and sensible/latent heat fluxes (fig. S5A). Annual ocean-to-atmosphere heat fluxes contributed 112.0 × 1018 J (0.68 W m−2), or 62%, to the overall heat sinks, thus constituting the largest of the energy sink components. The anomalous heat release to the atmosphere was strongest in late summer and autumn due to ocean surface warming (fig. S5). The three ocean–atmosphere heat flux components (net upward longwave radiation, sensible, and latent heat) contributed almost equally to the ocean heat sink (fig. S4B). Qao showed a significant increasing trend of 0.70 ± 0.18 × 1018 J year−1 from 1980 to 2015, which is well expressed by the three Qao constituents and dominated by increasing latent and sensible heat fluxes in the recent decade (fig. S4B). Our simulations captured the effects of the ice-albedo feedback via reduction of sea ice cover and the ocean temperature increase caused by Qrh, resulting in enhanced ocean–atmosphere energy transfer. Thus, our simulations provide a conservative estimate of atmospheric warming caused by Qrh and associated ocean warming.
Average warming of the 300-m atmospheric surface layer (24) in summer (JJAS) over the six Arctic shelf regions from the anomalous Qao increase was estimated to be 0.34 K (Supplementary Materials), contributing 0.003 K per year to the increasing air temperature trend from 1980 to 2015 (fig. S6). This regional air temperature increase constitutes a sizable part (~5%) of the overall Arctic surface air temperature warming trend of 0.064°C year−1 documented from maritime meteorological stations from 1979 to 2008 (25). The temperature increase further amplifies the Qrh effects on sea ice retreat and ocean warming, although these secondary effects were not addressed by our study.
The model estimated components (Qim + Qow + Qao) indicate a combined annual heat sink of approximately 179.5 × 1018 J from the influx of riverine heat into the Arctic shelf regions (Fig. 4). The apparent imbalance between annual heat sources and sinks of ~24.6 × 1018 J (expressed as a difference between sources and sinks in Fig. 4) characterizes an uncertainty of the estimated heat balance in the system. We note, however, that this imbalance is well within the range of model uncertainty due to the formulated forcing (i.e., indicated by vertical uncertainty lines in Fig. 4). Split evenly between energy sources and sinks, this uncertainty represents only ~8% of the total amount of heat sources or sinks annually by the system. This uncertainty can be explained by nonstationarities in the heat budget of the system, which are difficult to distinguish. For example, the residence time of riverine water and heat in the deeper water column may exceed 1 year in the shelf seas (26), resulting in overestimated annual Qow. Additional information about uncertainties in our estimates of the heat balance components is provided by the sensitivity experiments derived from three different atmospheric forcing datasets and represented by the uncertainty lines in Fig. 4. For example, the Qrh uncertainty of 19.7 × 1018 J year−1 (table S1) is mainly driven by the difference in precipitation between the three forcing datasets. Overall, these uncertainties do not preclude a meaningful analysis of the heat balance in the ocean–sea ice–atmosphere system (Fig. 4).
Our results indicate that riverine heat influx from the six major river drainage systems is having an important effect on the state of Arctic sea ice and, more generally, the ocean–sea ice–atmosphere system. Qrh enforced shelf sea ice decay in the melt season is triggering additional ocean absorption of shortwave radiation associated with the ice-albedo feedback. Increasing riverine heat influxes in the recent decade have warmed extensive areas of the Arctic shelves, promoting stronger ocean–atmosphere heat exchanges and thinner winter sea ice relative to the 1980s (Fig. 5).
The important role of riverine heat inputs on the Arctic ocean–sea ice–atmosphere system revealed by this study is lacking in the current generation of Earth system models. Thus, model improvements to better represent Qrh are needed to provide more realistic projections of future Arctic climate system trajectories. A considerable area of the Siberian shelf is underlain by submarine permafrost vulnerable to thawing. Increasing trends in Qrh may facilitate additional thawing of bottom permafrost and the release of greenhouse gases (27, 28) that further amplify Arctic warming. The warming ocean likely affects the shelf ecosystem that preserves large amounts of organic matter discharged from terrestrial rivers (29). Increasing ocean temperatures over the broad Arctic shelves may result in enhanced decomposition of benthic organic matter through enhanced bacterial activity and the microbial loop (30), consequently altering nutrient cycling and affecting food availability associated with changes in sea ice, stratification, and vertical mixing (31). Thus, implications of increasing Qrh influx in the Arctic may be far reaching, contributing to and potentially triggering multidisciplinary changes in the Arctic climate system.
November 07, 2020 at 02:04AM
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Increasing riverine heat influx triggers Arctic sea ice decline and oceanic and atmospheric warming - Science Advances
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