217 results match your criteria: "Met Office Hadley Centre[Affiliation]"

Health and climate related ecosystem services provided by street trees in the urban environment.

Environ Health

March 2016

European Centre for Environment and Human Health, University of Exeter Medical School, Knowledge Spa, Royal Cornwall Hospital, Truro, Cornwall, TR1 3HD, UK.

Urban tree planting initiatives are being actively promoted as a planning tool to enable urban areas to adapt to and mitigate against climate change, enhance urban sustainability and improve human health and well-being. However, opportunities for creating new areas of green space within cities are often limited and tree planting initiatives may be constrained to kerbside locations. At this scale, the net impact of trees on human health and the local environment is less clear, and generalised approaches for evaluating their impact are not well developed.

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Choice of baseline climate data impacts projected species' responses to climate change.

Glob Chang Biol

July 2016

School of Biological & Biomedical Sciences, Durham University, Mountjoy Site, Durham, DH1 3LE, UK.

Climate data created from historic climate observations are integral to most assessments of potential climate change impacts, and frequently comprise the baseline period used to infer species-climate relationships. They are often also central to downscaling coarse resolution climate simulations from General Circulation Models (GCMs) to project future climate scenarios at ecologically relevant spatial scales. Uncertainty in these baseline data can be large, particularly where weather observations are sparse and climate dynamics are complex (e.

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A future decline in solar activity would not offset projected global warmingA future decline in solar activity could have larger regional effects in winterTop-down mechanism contributes to Northern Hemisphere regional response.

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We hypothesise that climate change, together with intensive agricultural systems, will increase the transfer of pollutants from land to water and impact on stream health. This study builds, for the first time, an integrated assessment of nutrient transfers, bringing together a) high-frequency data from the outlets of two surface water-dominated, headwater (~10km(2)) agricultural catchments, b) event-by-event analysis of nutrient transfers, c) concentration duration curves for comparison with EU Water Framework Directive water quality targets, d) event analysis of location-specific, sub-daily rainfall projections (UKCP, 2009), and e) a linear model relating storm rainfall to phosphorus load. These components, in combination, bring innovation and new insight into the estimation of future phosphorus transfers, which was not available from individual components.

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Ambient air pollution from ground-level ozone and fine particulate matter (PM) is associated with premature mortality. Future concentrations of these air pollutants will be driven by natural and anthropogenic emissions and by climate change. Using anthropogenic and biomass burning emissions projected in the four Representative Concentration Pathway scenarios (RCPs), the ACCMIP ensemble of chemistry-climate models simulated future concentrations of ozone and PM at selected decades between 2000 and 2100.

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In the Coupled Model Intercomparison Project Phase 5 (CMIP5), the model-mean increase in global mean surface air temperature T under the 1pctCO2 scenario (atmospheric CO(2) increasing at 1% yr(-1)) during the second doubling of CO(2) is 40% larger than the transient climate response (TCR), i.e. the increase in T during the first doubling.

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The impact of parametrized convection on cloud feedback.

Philos Trans A Math Phys Eng Sci

November 2015

Geophysical Fluid Dynamics Laboratory (GFDL), Princeton, NJ, USA.

Article Synopsis
  • The study examines how sensitive cloud feedbacks are to the removal of convective parametrizations in climate models, finding mixed results in their overall impact on cloud feedback ranges.
  • Despite turning off convection, the models still show a similar range of cloud feedbacks, suggesting that other processes also influence this variability.
  • The findings highlight that certain cloud feedback characteristics, like the positive feedback from shallow clouds, remain consistent even without parametrized convection, although differences in longwave feedback are reduced in regions with strong precipitation.
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A simplified, data-constrained approach to estimate the permafrost carbon-climate feedback.

Philos Trans A Math Phys Eng Sci

November 2015

Department of Integrative Biology, University of Ontario, Guelph, Ontario, Canada.

We present an approach to estimate the feedback from large-scale thawing of permafrost soils using a simplified, data-constrained model that combines three elements: soil carbon (C) maps and profiles to identify the distribution and type of C in permafrost soils; incubation experiments to quantify the rates of C lost after thaw; and models of soil thermal dynamics in response to climate warming. We call the approach the Permafrost Carbon Network Incubation-Panarctic Thermal scaling approach (PInc-PanTher). The approach assumes that C stocks do not decompose at all when frozen, but once thawed follow set decomposition trajectories as a function of soil temperature.

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Any reduction in global mean near-surface temperature due to a future decline in solar activity is likely to be a small fraction of projected anthropogenic warming. However, variability in ultraviolet solar irradiance is linked to modulation of the Arctic and North Atlantic Oscillations, suggesting the potential for larger regional surface climate effects. Here, we explore possible impacts through two experiments designed to bracket uncertainty in ultraviolet irradiance in a scenario in which future solar activity decreases to Maunder Minimum-like conditions by 2050.

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Unlabelled: Observational analyses of running 5 year ocean heat content trends () and net downward top of atmosphere radiation () are significantly correlated ( ∼ 0.6) from 1960 to 1999, but a spike in in the early 2000s is likely spurious since it is inconsistent with estimates of from both satellite observations and climate model simulations. Variations in between 1960 and 2000 were dominated by volcanic eruptions and are well simulated by the ensemble mean of coupled models from the Fifth Coupled Model Intercomparison Project (CMIP5).

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Carbon cycle. The dominant role of semi-arid ecosystems in the trend and variability of the land COâ‚‚ sink.

Science

May 2015

Department of Atmospheric and Oceanic Science and Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20742, USA.

The growth rate of atmospheric carbon dioxide (CO2) concentrations since industrialization is characterized by large interannual variability, mostly resulting from variability in CO2 uptake by terrestrial ecosystems (typically termed carbon sink). However, the contributions of regional ecosystems to that variability are not well known. Using an ensemble of ecosystem and land-surface models and an empirical observation-based product of global gross primary production, we show that the mean sink, trend, and interannual variability in CO2 uptake by terrestrial ecosystems are dominated by distinct biogeographic regions.

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South Asia is a region of complex atmospheric dynamics and therefore changes resulting from increasing greenhouse gas concentrations, combined with existing vulnerability to extreme weather events such as flooding, could put the region at particular risk from climate change. However, current climate projections for the region show a range of uncertainty, particularly in terms of changes in the variability and extremes of precipitation. Focusing on Bangladesh and the region encompassing parts of the Ganges, Brahmaputra and Meghna river basins, we aim to explore and quantify climate model uncertainty in climate change projections for the 21(st) century.

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Seasonal-to-decadal predictions are inevitably uncertain, depending on the size of the predictable signal relative to unpredictable chaos. Uncertainties can be accounted for using ensemble techniques, permitting quantitative probabilistic forecasts. In a perfect system, each ensemble member would represent a potential realization of the true evolution of the climate system, and the predictable components in models and reality would be equal.

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Decadal variability in the North Atlantic and its subpolar gyre (SPG) has been shown to be predictable in climate models initialized with the concurrent ocean state. Numerous impacts over ocean and land have also been identified. Here we use three versions of the Met Office Decadal Prediction System to provide a multimodel ensemble forecast of the SPG and related impacts.

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State-of-the-art climate models now include more climate processes which are simulated at higher spatial resolution than ever. Nevertheless, some processes, such as atmospheric chemical feedbacks, are still computationally expensive and are often ignored in climate simulations. Here we present evidence that how stratospheric ozone is represented in climate models can have a first order impact on estimates of effective climate sensitivity.

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Megacities and climate change - A brief overview.

Environ Pollut

August 2015

UK Met Office Hadley Centre, Exeter, UK; NCAS-Climate, University of Reading, Reading, UK.

Cities have developed into the hotspots of human economic activity. From the appearance of the first cities in the Neolithic to 21st century metropolis their impact on the environment has always been apparent. With more people living in cities than in rural environments now it becomes crucial to understand these environmental impacts.

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Ocean processes at the Antarctic continental slope.

Philos Trans A Math Phys Eng Sci

July 2014

Virginia Institute for Marine Science, College of William and Mary, Gloucester Point, VA 23062, USA.

The Antarctic continental shelves and slopes occupy relatively small areas, but, nevertheless, are important for global climate, biogeochemical cycling and ecosystem functioning. Processes of water mass transformation through sea ice formation/melting and ocean-atmosphere interaction are key to the formation of deep and bottom waters as well as determining the heat flux beneath ice shelves. Climate models, however, struggle to capture these physical processes and are unable to reproduce water mass properties of the region.

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Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts.

Lancet Infect Dis

July 2014

Climate Dynamics and Impacts Unit, Institut Català de Ciències del Clima (IC3), Barcelona, Spain; Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain.

Background: With more than a million spectators expected to travel among 12 different cities in Brazil during the football World Cup, June 12-July 13, 2014, the risk of the mosquito-transmitted disease dengue fever is a concern. We addressed the potential for a dengue epidemic during the tournament, using a probabilistic forecast of dengue risk for the 553 microregions of Brazil, with risk level warnings for the 12 cities where matches will be played.

Methods: We obtained real-time seasonal climate forecasts from several international sources (European Centre for Medium-Range Weather Forecasts [ECMWF], Met Office, Meteo-France and Centro de Previsão de Tempo e Estudos Climáticos [CPTEC]) and the observed dengue epidemiological situation in Brazil at the forecast issue date as provided by the Ministry of Health.

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Article Synopsis
  • Climate change is predicted to increase the frequency and intensity of heavy rainfall, raising the likelihood of flooding in the future.
  • A study using river flow simulations from nine global hydrology models highlights that about one-third of locations may actually experience reduced flood risk, especially in areas where spring snowmelt dominates.
  • While most models indicate an increase in flooding events at over half of the studied locations, local variances and disagreements among models emphasize the need for careful consideration in regional climate adaptation strategies.
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[1] Observations show that the upper 2 km of the subtropical North Atlantic Ocean cooled throughout 2010 and remained cold until at least December 2011. We show that these cold anomalies are partly driven by anomalous air-sea exchange during the cold winters of 2009/2010 and 2010/2011 and, more surprisingly, by extreme interannual variability in the ocean's northward heat transport at 26.5°N.

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Future water resources for food production in five South Asian river basins and potential for adaptation--a modeling study.

Sci Total Environ

December 2013

Earth System Science and Climate Change, Wageningen University and Research Centre, P.O. Box 47, 6700 AA Wageningen, Netherlands; International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361 Laxenburg, Austria.

The Indian subcontinent faces a population increase from 1.6 billion in 2000 towards 2 billion around 2050. Therefore, expansion of agricultural area combined with increases in productivity will be necessary to produce the food needed in the future.

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Snowmelt contributions to discharge of the Ganges.

Sci Total Environ

December 2013

University of Salford, School of Environment & Life Sciences, Salford Crescent, Manchester, M5 4WT, UK.

Himalayan headwaters supply large quantities of runoff derived from snowmelt and monsoon rainfall to the Ganges River. Actual snowmelt contribution to discharge in the Ganges remains conjectural under both present and future climatic conditions. As snowmelt is likely to be perturbed through climatic warming, four hydrological models, VIC, JULES, LPJmL and SWAT, appropriate for coupling with regional climate models, were used to provide a baseline estimate of snowmelt contribution to flow at seasonal and annual timescales.

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