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	<title>albedo &#8211; Science</title>
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	<title>albedo &#8211; Science</title>
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		<title>Cooler Streets, Hidden Trade-Off: Why Reflective Pavement Alone Fails the Heat Test in Seville</title>
		<link>https://scienmag.com/cooler-streets-hidden-trade-off-why-reflective-pavement-alone-fails-the-heat-test-in-seville/</link>
		
		<dc:creator><![CDATA[Audrey Campbell]]></dc:creator>
		<pubDate>Sun, 13 Sep 2026 00:36:50 +0000</pubDate>
				<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[albedo]]></category>
		<category><![CDATA[CFD microclimate simulation]]></category>
		<category><![CDATA[climate-resilient planning]]></category>
		<category><![CDATA[computational fluid dynamics for city heat]]></category>
		<category><![CDATA[cumulative thermal stress]]></category>
		<category><![CDATA[district regeneration]]></category>
		<category><![CDATA[ENVI-met]]></category>
		<category><![CDATA[evaluating cooling strategies for Mediterranean cities]]></category>
		<category><![CDATA[GIS-based microclimate modeling]]></category>
		<category><![CDATA[GIS-based modelling]]></category>
		<category><![CDATA[heat vulnerability in European cities]]></category>
		<category><![CDATA[predictive framework for microclimate assessment]]></category>
		<category><![CDATA[reflective materials]]></category>
		<category><![CDATA[reflective pavement effectiveness]]></category>
		<category><![CDATA[satellite remote sensing in urban planning]]></category>
		<category><![CDATA[Seville]]></category>
		<category><![CDATA[Seville heatwave urban analysis]]></category>
		<category><![CDATA[sustainable urban design for heat mitigation]]></category>
		<category><![CDATA[urban greening]]></category>
		<category><![CDATA[urban heat mitigation]]></category>
		<category><![CDATA[urban morphology and heat exposure]]></category>
		<category><![CDATA[urban surface albedo impact]]></category>
		<category><![CDATA[UTCI]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=200100</guid>

					<description><![CDATA[A validated GIS and CFD framework tested in Seville shows reflective materials cool the air but worsen pedestrian heat stress, while combining reflectivity with urban greening cuts thermal comfort index values by more than 7 °C and removes up to four hours of daily severe heat exposure.]]></description>
										<content:encoded><![CDATA[<p>As Mediterranean cities bake through ever-longer and more intense heatwaves, urban planners are under growing pressure to know—before a single tile is laid or a single tree planted—which cooling strategies actually protect the people who live on the hottest streets. A new peer-reviewed study offers one of the most detailed answers yet, and its central finding is a cautionary tale for cities rushing to paint their neighborhoods white. Researchers led by Javier Sola-Caraballo, Carlos Rivera-Gomez and Carmen Galan-Marin at the University of Seville, together with Francesco Fiorito of the Politecnico di Bari, have developed and validated a predictive framework that combines satellite remote sensing, geographic information system (GIS) urban modelling and computational fluid dynamics (CFD) microclimate simulation to test heat-mitigation interventions at the neighborhood scale before they are built. Published in Discover Sustainability, the work was applied to a thermally vulnerable district of Seville, Spain, one of Europe&#8217;s most heat-exposed cities.</p>
<p>The framework&#8217;s workflow is deliberately sequential and reproducible. Open datasets drawn from diverse sources are first processed in a GIS environment to derive the district&#8217;s urban morphology and material properties—building heights, street widths, surface coverings, vegetation cover and albedo values. That digital twin is then translated into a three-dimensional CFD domain, where the microclimate is simulated hour by hour, capturing the interplay of solar radiation, shading, surface temperature, humidity and wind flow through urban canyons. The simulation results are finally returned to the GIS as hourly rasters at a remarkably fine resolution of one square meter, enabling spatial and statistical analysis of thermal conditions across every street and square in the district. The authors validated the approach against in-situ temperature measurements, giving the modelled results an empirical anchor that many purely simulation-based studies lack.</p>
<p>What truly distinguishes the study, however, is not the modelling machinery but the metric it introduces: cumulative thermal stress. Conventional assessments of outdoor heat typically rely on snapshot evaluations—a peak-hour temperature map, a midday comfort index, a single worst-case moment. Such snapshots can seriously mislead, because two neighborhoods with identical afternoon peaks may impose very different total heat burdens on their residents depending on how long severe conditions persist. The new framework instead computes the hourly count of Universal Thermal Climate Index (UTCI) values above 32 °C, a widely used threshold for strong heat stress, effectively quantifying the total number of hours per day that a given location spends in dangerously stressful conditions. This cumulative measure translates abstract microclimate physics into something municipal decision-makers can act upon directly: hours of exposure, mapped street by street.</p>
<p>The UTCI itself is worth understanding, because the study&#8217;s most surprising result hinges on it. Unlike simple air temperature, the Universal Thermal Climate Index integrates air temperature, mean radiant temperature, humidity and wind speed into a single equivalent temperature describing how the human body actually experiences the environment. A street can feel brutally hot even when the air temperature is moderate, if surrounding surfaces radiate intense heat onto pedestrians and the air is still. This distinction is precisely where the study&#8217;s headline finding emerges: the intervention that cools the air most effectively is not the one that makes people feel most comfortable.</p>
<p>The research team compared three scenarios for the Seville district: baseline conditions with no intervention; an intervention raising surface albedo through reflective materials; and a combined strategy pairing reflective materials with urban greening. The reflective-materials scenario delivered exactly what proponents of cool roofs and cool pavements promise—a peak air temperature reduction of roughly 1.25 °C. But the high-resolution spatiotemporal analysis revealed a hidden cost. By bouncing more shortwave solar radiation back into the street canyon, the reflective surfaces raised mean radiant temperature during daylight hours, increasing the radiant heat load on pedestrians. The result was a worsening of daytime outdoor comfort as measured by UTCI, even as the air itself grew cooler. For anyone walking, waiting at a bus stop or working outdoors, the reflective district could feel harsher than the one it replaced.</p>
<p>The combined strategy told a strikingly different story. When reflective materials were paired with urban greening—trees and vegetation providing shade and evaporative cooling—the district achieved localized UTCI reductions exceeding 7 °C, a transformative improvement in how outdoor spaces feel during peak heat. Compared with reflective materials alone, the combined approach improved daytime comfort across more than 86 percent of the district. Crucially, when the authors applied their cumulative thermal stress metric, the combination delivered reductions of two to four hours in daily severe heat exposure, meaning residents in the hottest pockets of the neighborhood gained back hours of tolerable outdoor conditions every day. Shade from vegetation appears to be the decisive ingredient, intercepting solar radiation before it can heat pedestrian-level radiant environments while adding cooling through transpiration.</p>
<p>For cities across the Mediterranean and beyond, the implications are immediate and practical. Reflective materials remain a legitimate and valuable tool—air temperature reductions of over a degree matter for energy demand, nighttime cooling and indoor comfort—but the study demonstrates that they cannot stand alone in pedestrian-oriented urban regeneration. Deployed without complementary vegetation, high-albedo surfaces risk shifting the heat burden from the atmospheric domain to the human body, improving the numbers in a climate model while degrading the lived experience on the pavement. The one-meter-resolution mapping makes these trade-offs visible at exactly the scale at which residents experience them, allowing planners to identify which streets benefit from reflectivity, which need shade, and which require both.</p>
<p>The predictive character of the framework is its second major contribution. Because the workflow relies on open datasets and validated simulation, it can be applied to a candidate district before any capital is committed, ranking scenarios by their effect on cumulative exposure rather than on aesthetic preference or material cost alone. For municipalities with limited adaptation budgets—and few cities have unlimited ones—this provides a defensible, evidence-based method for prioritizing interventions in the most vulnerable neighborhoods first. The authors explicitly frame the work within the United Nations Sustainable Development Goals: reducing heat exposure advances inclusive and resilient cities (SDG 11), urban climate action (SDG 13) and the reduction of inequalities (SDG 10) through the same measure, since severe outdoor heat falls disproportionately on elderly residents, outdoor workers, children and low-income communities least able to escape it.</p>
<p>Methodologically, the integration of GIS and ENVI-met-style microclimate modelling through hourly raster exchange represents a template that other research groups and city governments can adapt. The study&#8217;s validation against field measurements addresses a persistent criticism of microclimate simulation—that its outputs can drift from reality—and its use of a Typical Meteorological Year drawn from data supplied by the Spanish State Meteorological Agency (AEMET) grounds the scenarios in representative climatic conditions rather than cherry-picked extremes. The cumulative stress metric, computed simply as hours above a UTCI threshold, is deliberately easy to communicate, which may prove as important as its scientific rigor: a city councilor does not need a physics degree to understand that an intervention that removes three hours of daily severe heat stress from a plaza is worth funding.</p>
<p>As climate change pushes summer temperatures in Southern Europe toward repeatedly breaking records, the gap between interventions that look effective on paper and those that genuinely protect residents is becoming a matter of public health. This study closes part of that gap with a clear, quantified warning: cooling the air is not the same as cooling the person, and the strategies that succeed are those engineered around the full human thermal experience—radiant load, humidity, wind and, above all, duration of exposure. In Seville&#8217;s most heat-vulnerable district, the winning formula was neither purely technological nor purely green, but a carefully modelled combination of the two, delivering seven-degree comfort improvements and hours of reclaimed safety every single day. That is the kind of measurable, street-level outcome that climate-resilient regeneration will need to deliver, and, thanks to this framework, cities can now predict it before they build it.</p>
<p><strong>Subject of Research:</strong> Predictive assessment of urban outdoor thermal comfort and cumulative heat exposure for climate-resilient district regeneration using GIS modelling and CFD microclimate simulation</p>
<p><strong>Article Title:</strong> Predictive assessment of urban comfort and cumulative heat exposure for climate-resilient district regeneration</p>
<p><strong>Article References:</strong> Sola-Caraballo, J., Fiorito, F., Rivera-Gomez, C., &amp; Galan-Marin, C. (2026). Predictive assessment of urban comfort and cumulative heat exposure for climate-resilient district regeneration. <em>Discover Sustainability</em>. <a href="https://doi.org/10.1007/s43621-026-04692-7" rel="noopener noreferrer">https://doi.org/10.1007/s43621-026-04692-7</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s43621-026-04692-7" rel="noopener noreferrer">10.1007/s43621-026-04692-7</a></p>
<p><strong>Keywords:</strong> urban heat mitigation, UTCI, cumulative thermal stress, GIS-based modelling, CFD microclimate simulation, ENVI-met, climate-resilient planning, urban greening, reflective materials, albedo, Seville, district regeneration</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">200100</post-id>	</item>
		<item>
		<title>Arctic and Antarctic Sea Ice Are Changing in Radically Different Ways</title>
		<link>https://scienmag.com/arctic-and-antarctic-sea-ice-are-changing-in-radically-different-ways/</link>
		
		<dc:creator><![CDATA[Violet Maxwell]]></dc:creator>
		<pubDate>Sat, 12 Sep 2026 17:27:41 +0000</pubDate>
				<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[albedo]]></category>
		<category><![CDATA[Antarctic]]></category>
		<category><![CDATA[Antarctic sea ice variability]]></category>
		<category><![CDATA[Arctic]]></category>
		<category><![CDATA[Arctic sea ice melting trends]]></category>
		<category><![CDATA[climate change]]></category>
		<category><![CDATA[climate change impact on polar regions]]></category>
		<category><![CDATA[cryosphere]]></category>
		<category><![CDATA[effects of global warming on Arctic and Antarctic]]></category>
		<category><![CDATA[long-term sea ice records]]></category>
		<category><![CDATA[melt season]]></category>
		<category><![CDATA[natural variability vs anthropogenic warming]]></category>
		<category><![CDATA[polar climate]]></category>
		<category><![CDATA[polar climate system]]></category>
		<category><![CDATA[polar ice and Earth's energy balance]]></category>
		<category><![CDATA[polar ice feedback mechanisms]]></category>
		<category><![CDATA[polynyas]]></category>
		<category><![CDATA[satellite observation of polar ice]]></category>
		<category><![CDATA[satellite observations]]></category>
		<category><![CDATA[sea ice]]></category>
		<category><![CDATA[sea ice albedo changes]]></category>
		<category><![CDATA[sea ice thickness decline]]></category>
		<category><![CDATA[sea-ice thickness]]></category>
		<category><![CDATA[snow depth]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=196979</guid>

					<description><![CDATA[A comprehensive review documents how Arctic and Antarctic sea ice are diverging in thickness, albedo, snow cover, motion and melt-season length as the climate warms.]]></description>
										<content:encoded><![CDATA[<p>Sea ice covers only about nine percent of the world&#8217;s oceans, yet its presence or absence exerts an outsized influence on the energetic balance of Earth&#8217;s climate system. A sweeping new review published in Nature Reviews Earth &amp; Environment has assembled, for the first time in a single synthesis, the full record of how the frozen skins of the Arctic and Southern Oceans have changed over nearly five decades of satellite observation and much longer ship-based measurement. The picture that emerges is one of two polar ice covers moving in opposite directions, driven by fundamentally different geography, dynamics and feedbacks, and responding unevenly to both natural variability and anthropogenic warming.</p>
<p>In the Arctic, the transformation is unambiguous and accelerating. The melt season has lengthened by approximately 7.4 days per decade between 1979 and 2024, a shift that compounds year after year as earlier snowmelt and later freeze-up expose dark ocean water to sunlight for longer periods. Winter sea-ice thickness has declined to a mean total of roughly 1.6 metres over 1980 to 2023, down from values that once routinely exceeded three metres in the central Arctic. Summer surface albedo, the fraction of incoming solar radiation reflected back to space, has fallen by about 0.03 per decade over 1979 to 2020, while spring snow depth on the ice has thinned by 2.5 centimetres per decade over the period 1954 to 2024. Each of these trends feeds the others in a self-reinforcing cascade.</p>
<p>The physical mechanism behind this cascade is the ice-albedo feedback. Fresh snow reflects up to ninety percent of incident sunlight, but once the snow melts, bare ice reflects far less, and melt ponds pooling on the surface reflect less still. As the Arctic melt season lengthens, more solar energy is absorbed by the ice-ocean system, warming the upper ocean and thinning the ice from below. Thinner ice breaks up more easily, creating more open water, which absorbs more heat and delays freeze-up further. Satellite records show that the Arctic&#8217;s once-dominant multiyear ice, ice that survives at least one summer melt, has been progressively replaced by thinner, more saline first-year ice that melts more readily. A regime shift in Arctic Ocean ice thickness has been documented, and the age structure of the ice pack has shifted decisively toward young ice.</p>
<p>The Antarctic tells a strikingly different story. Antarctic sea ice sits at the edge of a vast, cold continent surrounded by a circumpolar ocean, and its thickness is limited by rapid drift away from the coast and by heavy snow loading that can push the ice surface below sea level, flooding it and forming snow-ice. Unlike the Arctic, the Antarctic record through the satellite era showed a slight overall increase in extent through 2014, followed by abrupt declines, including record lows in 2017 and again in 2023 that have led some researchers to argue the region may have entered a new sea-ice state. Because regional trends in the Antarctic point in different directions in different sectors and different decades, the hemisphere-wide changes in ice properties are smaller than those observed in the Arctic, and the underlying drivers remain contested.</p>
<p>Snow plays a fundamentally different role at each pole. In the Arctic, snow insulates the ice from the cold atmosphere in winter, slowing growth, but its high albedo protects the ice in spring. Declining snow depth therefore removes a protective layer and accelerates surface melt. In the Antarctic, thick snow cover frequently depresses the ice surface below the waterline, and the resulting slush refreezes into snow-ice, adding mass from above. Antarctic snow also modulates the penetration of light into the ice and upper ocean, shaping the timing and productivity of ice-algal blooms that anchor polar marine food webs. Recent work shows that summer snowfall events in the Arctic, increasingly modulated by the Arctic Oscillation, can temporarily brighten the surface and slow melt, while rain-on-snow events darken it and hasten melt onset, making precipitation a critical and underappreciated player in the seasonal ice budget.</p>
<p>Dynamically, both hemispheres are becoming more restless. Sea-ice motion has increased by 0.63 centimetres per second per decade in the Arctic between 1978 and 2024 and by 0.69 centimetres per second per decade in the Antarctic between 1982 and 2024. Faster drift is partly a consequence of thinner, weaker ice that deforms more readily under wind and ocean stress, and partly a response to changing atmospheric circulation patterns. In the Arctic, accelerated drift increases export of ice through Fram Strait into the North Atlantic, draining the ice pack and contributing to the stepwise reduction of multiyear ice area since 1980. Smoother ice with fewer pressure ridges has been observed in a more dynamic Arctic, which reduces surface drag and further enhances drift speeds, another positive feedback loop.</p>
<p>Polynyas, recurring areas of open water within the ice pack, reveal some of the sharpest inter-hemispheric contrasts. Antarctic coastal polynyas, sustained by fierce katabatic winds off the ice sheet, are engines of sea-ice production and of Antarctic Bottom Water formation, the densest water mass in the global overturning circulation. Their occurrence and extent show regionally diverging trends, with emerging long-term trends and interdecadal cycles documented across the continent. In the Arctic, polynyas such as those in the Canadian Arctic Archipelago and the Siberian shelves sustain hyperproductive ecosystems and contribute to intermediate and deep water formation, but their trends differ by region and are tied to distinct atmospheric and oceanic drivers. Offshore polynyas in the Antarctic, including the famous Weddell Polynya of the 1970s and its intermittent modern successors, are linked to Southern Hemisphere climate anomalies and to ocean heat ventilation, and recent extremes in Antarctic sea-ice extent have been modulated by this ventilation of ocean heat.</p>
<p>The consequences ripple far beyond the poles. Arctic amplification, the phenomenon by which the Arctic has warmed nearly four times faster than the globe since 1979, is substantially driven by sea-ice loss and the associated albedo feedback. Observational studies have quantified the radiative heating contributed by vanishing Arctic ice, and the loss of sea ice alters air-sea exchanges of heat, moisture and momentum, with implications for mid-latitude weather patterns. Ecologically, earlier melt onset and longer open-water seasons disrupt the tight phenological coupling between ice algae, zooplankton, fish, seabirds and marine mammals that have evolved around the seasonal ice cycle. In the Antarctic, strengthening snow and ice albedo feedback driven by recent sea-ice loss has now been observed, suggesting the Southern Ocean may be catching up to the Arctic in its climatic significance.</p>
<p>Looking forward, the review highlights major knowledge gaps and calls for joint model-observation efforts to close them. Observationally constrained projections indicate the Arctic could see its first ice-free summer, and even its first ice-free day, before 2030 under low emission scenarios, with the ice-free season projected to extend deep into autumn by century&#8217;s end. Antarctic projections remain far more uncertain because current climate models struggle to reproduce the observed variability and recent structural change in the Southern Ocean sea-ice system, and because snow depth, freeboard retrieval and thickness estimates from satellite altimetry carry large uncertainties in the south. The authors recommend coordinated campaigns combining satellite altimetry from ICESat-2 and CryoSat-2, autonomous buoy networks, ship-based observations and improved climate models to constrain snow depth, thickness, albedo and drift together. Only by treating the two polar ice covers as a coupled, hemispherically contrasted system, they argue, can scientists anticipate how the remaining sea ice will behave as the twenty-first century unfolds, and what that behaviour will mean for the climate, ecosystems and communities that depend on it.</p>
<p><strong>Subject of Research:</strong> Long-term changes in the physical properties and processes of Arctic and Antarctic sea ice</p>
<p><strong>Article Title:</strong> Changes in Arctic and Antarctic sea-ice properties and processes</p>
<p><strong>Article References:</strong> Webster, M. A., Arndt, S., Bliss, A., Kacimi, S., Maksym, T., Massonnet, F., Riihelä, A., &amp; Toyota, T. (2026). Changes in Arctic and Antarctic sea-ice properties and processes. <em>Nature Reviews Earth &amp;amp; Environment</em>. <a href="https://doi.org/10.1038/s43017-026-00816-9" rel="noopener noreferrer">https://doi.org/10.1038/s43017-026-00816-9</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1038/s43017-026-00816-9" rel="noopener noreferrer">10.1038/s43017-026-00816-9</a></p>
<p><strong>Keywords:</strong> sea ice, Arctic, Antarctic, climate change, albedo, snow depth, sea-ice thickness, polynyas, melt season, satellite observations, cryosphere, polar climate</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">196979</post-id>	</item>
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