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	<title>transient eddies &#8211; Science</title>
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	<title>transient eddies &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>Atlantic Ocean Temperature Pattern Shifts Its Reach Across Eurasia and Africa as Winds Change</title>
		<link>https://scienmag.com/atlantic-ocean-temperature-pattern-shifts-its-reach-across-eurasia-and-africa-as-winds-change/</link>
		
		<dc:creator><![CDATA[Violet Maxwell]]></dc:creator>
		<pubDate>Sun, 20 Sep 2026 22:18:55 +0000</pubDate>
				<category><![CDATA[Climate]]></category>
		<category><![CDATA[Atlantic Ocean temperature pattern shifts]]></category>
		<category><![CDATA[background mean flow]]></category>
		<category><![CDATA[climate dynamics]]></category>
		<category><![CDATA[Climate dynamics and land temperature response]]></category>
		<category><![CDATA[Climate pattern migration and weakening]]></category>
		<category><![CDATA[Climate research on oceanic influence on land temperatures]]></category>
		<category><![CDATA[Decadal climate variability in North Atlantic]]></category>
		<category><![CDATA[Eurasia]]></category>
		<category><![CDATA[Eurasia and Africa springtime weather changes]]></category>
		<category><![CDATA[Impact of high-altitude winds on ocean temperatures]]></category>
		<category><![CDATA[jet stream]]></category>
		<category><![CDATA[Long-term observational climate data analysis]]></category>
		<category><![CDATA[North Africa]]></category>
		<category><![CDATA[North Atlantic tripole]]></category>
		<category><![CDATA[North Atlantic tripole climate influence]]></category>
		<category><![CDATA[ocean-atmosphere interactions in climate change]]></category>
		<category><![CDATA[Rossby wave train]]></category>
		<category><![CDATA[sea surface temperature]]></category>
		<category><![CDATA[sea surface temperature anomalies]]></category>
		<category><![CDATA[spring climate]]></category>
		<category><![CDATA[surface air temperature]]></category>
		<category><![CDATA[teleconnection]]></category>
		<category><![CDATA[transient eddies]]></category>
		<category><![CDATA[Wind patterns affecting ocean temperature]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=203428</guid>

					<description><![CDATA[A 64-year analysis shows that the North Atlantic tripole sea surface temperature pattern has changed which regions it warms and cools over time, driven by shifts in the background zonal winds that steer its atmospheric wave trains.]]></description>
										<content:encoded><![CDATA[<p>Deep in the North Atlantic Ocean, a distinctive three-lobed pattern of sea surface temperature anomalies has been quietly rewriting the springtime weather of two continents. Known to climatologists as the North Atlantic tripole, this pattern features alternating warm and cold ocean patches stretching from the tropics to the subpolar seas. For decades, scientists have known that when the tripole flips sign, temperatures across North Africa, the Middle East, Europe and Asia tend to respond in predictable ways. But a new study published in Climate Dynamics reveals that this predictability is an illusion of averages. The tripole&#8217;s grip on land temperatures has weakened, migrated and re-emerged in three distinct chapters since the early 1960s, and the reason lies not in the ocean itself but in the winds high above it.</p>
<p>The research, led by Shanshan Fu of Nanjing University of Information Science and Technology and the Dalian Meteorological Observatory, together with Zhiwei Zhu and Xiao Pan of the Ocean University of China and the Max Planck Institute for Meteorology, analyzed observational and reanalysis data spanning 1961 to 2024. The team identified three clearly separated phases in how the tripole relates to springtime surface air temperature across the Eurasian and North African landmass. In the first phase, from 1961 to 1986, a positive tripole, meaning warmer water in the subtropical and subpolar North Atlantic flanking a cooler band in between, produced warming over North Africa, the Middle East and the Indo-China Peninsula, along with cooling over Northern Europe. Those were the days when the tripole could be counted on as a reliable seasonal clue.</p>
<p>Then came the middle chapter. Between 1987 and 2005, the subtropical temperature responses largely collapsed. The warming signals over North Africa and the Middle East faded to statistical insignificance, while the cooling over Northern Europe stubbornly persisted. Forecasters and researchers who had built seasonal expectations on the tripole&#8217;s influence suddenly found the connection unreliable over much of the affected domain. In the third phase, from 2006 to 2024, the story shifted again: the warming over North Africa re-emerged, but a new and significant cooling signal appeared over Northeast Asia, a region that had not featured prominently in the tripole&#8217;s earlier influence map. The pattern, in other words, did not simply strengthen or weaken. It changed its geography.</p>
<p>What could cause a fixed oceanic pattern to reshuffle its downstream fingerprints so dramatically? The authors point to the propagation pathways and structures of the Rossby wave trains that the tripole excites. When sea surface temperature anomalies alter the heating of the overlying atmosphere, they launch planetary-scale waves that arc across the midlatitudes like ripples guided along a curved channel. Where those waves deposit their energy determines which regions warm and which cool. If the wave train takes a more zonal track hugging the subtropics, North Africa and the Middle East feel the effects. If it arcs poleward into higher latitudes, Europe and Northeast Asia come into play. The tripole provides the push, but the atmosphere decides where the push lands.</p>
<p>The decisive factor, according to the study, is the background mean zonal wind, essentially the prevailing east-west flow of the atmosphere through which the waves must travel. Rossby waves do not propagate through a static medium; their trajectories, group velocities and amplitudes depend on the structure of the ambient flow, particularly the position and strength of the jet streams that act as waveguides. When the background zonal wind shifts, the wave train bends with it, and the regions of wave-activity flux convergence, where the teleconnection&#8217;s temperature anomalies are ultimately expressed, migrate accordingly. The three phases identified in the observations correspond to three configurations of this mean flow, each steering the tripole&#8217;s atmospheric response along a different route.</p>
<p>The study goes one step further by asking what drives the mean flow changes themselves. The authors identify two contributors: intensified local transient-eddy activity and shifted tropical convection anomalies. Transient eddies, the swirling synoptic-scale disturbances that populate the storm tracks, exert a feedback on the time-mean flow, and changes in their intensity can reinforce or reshape the zonal winds. Meanwhile, shifts in tropical convection, the towering organized thunderstorm systems of the deep tropics, can alter the large-scale circulation remotely, nudging the midlatitude flow into a new configuration. Either pathway, operating in different phases, sufficed to explain the observed changes in the background winds that steered the wave trains.</p>
<p>To test whether these mean-flow changes were truly sufficient, rather than merely correlated, the team turned to a linear baroclinic model, a simplified numerical tool designed to isolate the role of the background flow in wave propagation. By imposing the observed mean-flow conditions from each phase and forcing the model with the tripole&#8217;s atmospheric signature, they found that the model reproduced the phase-dependent Rossby wave trajectories seen in the real atmosphere. The observed changes in the mean flow alone were enough to recreate the shifting pathways, without needing to invoke changes in the tripole itself. This result elevates the background mean flow from a plausible suspect to the key mechanism: it is the control knob that determines how the ocean&#8217;s influence is distributed across the continents.</p>
<p>The findings carry practical weight for seasonal climate prediction. Spring surface air temperature over Eurasia and North Africa affects agriculture, water resources, snowmelt timing and the likelihood of temperature extremes, and forecasters have long used North Atlantic sea surface temperature anomalies as precursors. A teleconnection relationship that holds in one decade may fail in the next, and this study explains why: the relationship is conditional on the state of the background flow, which evolves on interdecadal timescales under the influence of eddy activity and tropical convection. Skillful use of the tripole as a predictor therefore requires monitoring not just the ocean, but the atmospheric highway that carries its signal eastward.</p>
<p>More broadly, the work adds to a growing recognition that climate teleconnections are not fixed features of the Earth system but dynamic relationships that drift as the background circulation evolves. Similar interdecadal changes have been documented for other ocean-atmosphere links, including the influence of the tripole on the western North Pacific subtropical high and on East Asian rainfall, suggesting that the mean-flow modulation mechanism may be a general property of midlatitude teleconnections. As greenhouse warming continues to alter jets, storm tracks and tropical convection, the map of which regions are teleconnected to which ocean basins may keep redrawn itself. The tripole has not lost its voice; the atmosphere has simply changed the rooms in which it can be heard.</p>
<p><strong>Subject of Research:</strong> How changes in background mean flow modulate the influence of the North Atlantic tripole sea surface temperature pattern on springtime surface air temperature over Eurasia and North Africa</p>
<p><strong>Article Title:</strong> Changing influence of the North Atlantic tripole SST pattern on surface air temperature in Eurasia and North Africa modulated by the background mean flow</p>
<p><strong>Article References:</strong> Fu, S., Zhu, Z., &amp; Pan, X. (2026). Changing influence of the North Atlantic tripole SST pattern on surface air temperature in Eurasia and North Africa modulated by the background mean flow. <em>Climate Dynamics, 64</em>(10), Article 429. <a href="https://doi.org/10.1007/s00382-026-08391-x" rel="noopener noreferrer">https://doi.org/10.1007/s00382-026-08391-x</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s00382-026-08391-x" rel="noopener noreferrer">10.1007/s00382-026-08391-x</a></p>
<p><strong>Keywords:</strong> North Atlantic tripole, sea surface temperature, surface air temperature, Rossby wave train, background mean flow, Eurasia, North Africa, teleconnection, Climate Dynamics, jet stream, transient eddies, spring climate</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">203428</post-id>	</item>
		<item>
		<title>How Ocean-Spanning Winds Steer Ethiopia&#8217;s Lifesaving Rains</title>
		<link>https://scienmag.com/how-ocean-spanning-winds-steer-ethiopias-lifesaving-rains/</link>
		
		<dc:creator><![CDATA[Sloane Callahan]]></dc:creator>
		<pubDate>Sat, 12 Sep 2026 20:46:31 +0000</pubDate>
				<category><![CDATA[Climate]]></category>
		<category><![CDATA[analysis of four decades of atmospheric data]]></category>
		<category><![CDATA[atmospheric circulation systems and water vapor movement]]></category>
		<category><![CDATA[climate change implications for Ethiopian agriculture]]></category>
		<category><![CDATA[climate dynamics]]></category>
		<category><![CDATA[climate dynamics and drought prediction]]></category>
		<category><![CDATA[drought]]></category>
		<category><![CDATA[East African monsoon]]></category>
		<category><![CDATA[ERA5 reanalysis]]></category>
		<category><![CDATA[Ethiopia]]></category>
		<category><![CDATA[Ethiopian rainfall variability]]></category>
		<category><![CDATA[hydropower water resource management]]></category>
		<category><![CDATA[impact of large-scale climate patterns on Ethiopia]]></category>
		<category><![CDATA[Indian Ocean]]></category>
		<category><![CDATA[Kiremt rainfall]]></category>
		<category><![CDATA[moisture convergence]]></category>
		<category><![CDATA[moisture transport]]></category>
		<category><![CDATA[ocean-to-land moisture transport]]></category>
		<category><![CDATA[role of persistent atmospheric circulation in rainfall]]></category>
		<category><![CDATA[satellite and reanalysis climate data integration]]></category>
		<category><![CDATA[seasonal climate forecasting in drought-prone regions]]></category>
		<category><![CDATA[seasonal forecasting]]></category>
		<category><![CDATA[Somali Jet]]></category>
		<category><![CDATA[transient eddies]]></category>
		<category><![CDATA[water security and climate resilience in Ethiopia]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=198488</guid>

					<description><![CDATA[A 44-year reanalysis study reveals that persistent large-scale moisture transport, not transient weather systems, drives Ethiopia's seasonal and interannual rainfall variability.]]></description>
										<content:encoded><![CDATA[<p>Ethiopia&#8217;s harvests, its hydropower dams, and the drinking water of more than 120 million people all hang on the same question every year: will the rains arrive, and how heavy will they be? A new study published in Climate Dynamics has now disentangled, in unprecedented detail, the atmospheric machinery that carries water vapor from distant oceans into the Ethiopian sky. By splitting the moisture budget into its stationary and transient components, the researchers show that persistent, large-scale circulation systems — not fast-moving weather disturbances — are the primary engine behind Ethiopia&#8217;s seasonal and year-to-year rainfall variability, a finding with direct consequences for seasonal forecasting in one of the world&#8217;s most drought-vulnerable nations.</p>
<p>The research team, led by Feyisa Seboka Tura of the Institute of Atmospheric Physics at the Chinese Academy of Sciences, together with colleagues including Jinling Piao, Lin Wang, and Wen Chen, analyzed more than four decades of atmospheric data from 1981 to 2024. They combined the ERA5 global reanalysis produced by the European Centre for Medium-Range Weather Forecasts — a physically consistent reconstruction of winds, humidity, and temperature across the entire atmosphere — with satellite-derived rainfall products. This pairing allowed them to close the atmospheric moisture budget over Ethiopia with a rigor that earlier studies, which often relied on shorter records or single data streams, could not achieve.</p>
<p>The study&#8217;s central technical move is the decomposition of the vertically integrated moisture flux into two parts: a stationary component, representing the climatological, time-averaged circulation, and a transient component, capturing departures from that mean on daily to weekly timescales. When the two are evaluated over Ethiopia&#8217;s three rainfall seasons — the Belg rains from February to May, the Kiremt monsoon from June to September, and the dry-season Bega window from October to January — a striking asymmetry emerges. The stationary flux alone closely reproduces the net moisture convergence and the observed pattern of precipitation across the country. In other words, the steady background flow of the atmosphere explains most of where and when Ethiopia&#8217;s rain falls.</p>
<p>Geographically, the dominant inflow is meridional: moisture arrives primarily across Ethiopia&#8217;s southern boundary, funneled from the Indian Ocean and from the Congo Basin deep in equatorial Africa. Two celebrated circulation systems do much of the heavy lifting. The Somali Jet, the low-level cross-equatorial wind that races along the East African coast during the boreal summer, carries enormous quantities of Indian Ocean vapor northward. It is reinforced by the broader cross-equatorial low-level flow that pulses across the equator with the march of the seasons. Together, these currents supply the raw water vapor that the Ethiopian highlands, lifted and cooled by their dramatic topography, convert into some of the heaviest orographic rainfall in Africa.</p>
<p>The transient component tells a very different and, in some respects, counterintuitive story. On average, the transient moisture fluxes are climatologically divergent: rather than feeding rain, they tend to export moisture and weaken the net convergence that the stationary circulation establishes. The eddies, waves, and short-lived disturbances that dominate weather maps do not, in the climatological mean, add to Ethiopia&#8217;s water supply — they subtract from it, acting as modulators of short-term variability rather than as the foundational source of rain.</p>
<p>Perhaps the most surprising result concerns wet Kiremt years — the seasons when Ethiopia&#8217;s summer monsoon delivers abundant rainfall. One might assume that in such years the Somali Jet strengthens and drives extra moisture inland. The analysis reveals the opposite. During anomalously wet Kiremt seasons, transient moisture transport is associated with an anticyclonic circulation anomaly over the Arabian Sea and a weakened Somali Jet. This configuration generates an enhanced anomalous easterly flow that pushes moisture away from the region, producing significant divergence. The wettest summers are therefore not simply the result of stronger moisture import; they reflect a delicate balance in which the stationary convergence strengthens even as transient processes actively drain moisture, a subtlety that coarse analyses of total moisture flux would entirely miss.</p>
<p>To probe interannual variability, the team constructed composites of wet and dry years across the 44-year record. The comparison shows that year-to-year swings in Ethiopia&#8217;s moisture convergence are largely tied to anomalies in the stationary circulation itself — shifts in the position and strength of the mean low-level inflow — while transient eddies act mainly as secondary modifiers. The study further links these stationary anomalies to tropical-extratropical teleconnections, the planetary-scale wave trains through which conditions in distant ocean basins, such as the tropical Indian Ocean and its dipole mode, imprint themselves on East African circulation. This places the new results in dialogue with a long lineage of research connecting Ethiopian rainfall to global sea surface temperatures, El Niño-Southern Oscillation variability, and the intensification of the Walker circulation, but it sharpens the mechanism by translating those remote forcings into concrete changes in moisture flux convergence.</p>
<p>The implications for prediction are substantial. Seasonal forecasting of the Kiremt rains has long been a priority for Ethiopian agriculture, and models such as ECMWF&#8217;s SEAS5 are already used to anticipate monsoon anomalies. The new decomposition offers forecasters a diagnostic target: rather than attempting to predict the behavior of fast-moving eddies, which are inherently chaotic and difficult to anticipate months in advance, forecast skill should focus on the stationary circulation — the cross-equatorial flow, the Somali Jet, and the large-scale convergence patterns that dominate the moisture budget. Because the stationary component is more strongly constrained by slowly varying boundary conditions like sea surface temperatures, it is more predictable, meaning the study effectively identifies where forecast value can be won.</p>
<p>The work also carries a sobering message for a warming century. Ethiopia has endured repeated devastating droughts, including the recurrent East African dry spells of recent decades, and projections consistently indicate changes in rainfall extremes and agro-climatic zones across the region. By establishing that persistent large-scale transport is the backbone of the nation&#8217;s hydroclimate, the study suggests that future shifts in the Indian Ocean and in global monsoon circulations will propagate directly into Ethiopia&#8217;s water security through the stationary flux. Monitoring and modeling that persistent circulation, rather than the noise of daily weather, may be the clearest window into the country&#8217;s climatic future — and a lifeline for the farmers who depend on it.</p>
<p><strong>Subject of Research:</strong> Atmospheric moisture transport and rainfall variability over Ethiopia</p>
<p><strong>Article Title:</strong> Roles of atmospheric moisture transport in seasonal and interannual variations of rainfall over Ethiopia</p>
<p><strong>Article References:</strong> Tura, F. S., Piao, J., Wang, L., Wang, Z., Cai, Q., Yu, T., &amp; Chen, W. (2026). Roles of atmospheric moisture transport in seasonal and interannual variations of rainfall over Ethiopia. <em>Climate Dynamics, 64</em>(10), Article 424. <a href="https://doi.org/10.1007/s00382-026-08379-7" rel="noopener noreferrer">https://doi.org/10.1007/s00382-026-08379-7</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s00382-026-08379-7" rel="noopener noreferrer">10.1007/s00382-026-08379-7</a></p>
<p><strong>Keywords:</strong> Ethiopia, moisture transport, Somali Jet, Kiremt rainfall, ERA5 reanalysis, moisture convergence, Climate Dynamics, East African monsoon, transient eddies, seasonal forecasting, drought, Indian Ocean</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">198488</post-id>	</item>
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