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  • 1
    Online Resource
    Online Resource
    The Royal Society ; 2021
    In:  Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences Vol. 379, No. 2195 ( 2021-04-19), p. 20190542-
    In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, The Royal Society, Vol. 379, No. 2195 ( 2021-04-19), p. 20190542-
    Abstract: A large number of recent studies have aimed at understanding short-duration rainfall extremes, due to their impacts on flash floods, landslides and debris flows and potential for these to worsen with global warming. This has been led in a concerted international effort by the INTENSE Crosscutting Project of the GEWEX (Global Energy and Water Exchanges) Hydroclimatology Panel. Here, we summarize the main findings so far and suggest future directions for research, including: the benefits of convection-permitting climate modelling; towards understanding mechanisms of change; the usefulness of temperature-scaling relations; towards detecting and attributing extreme rainfall change; and the need for international coordination and collaboration. Evidence suggests that the intensity of long-duration (1 day+) heavy precipitation increases with climate warming close to the Clausius–Clapeyron (CC) rate (6–7% K −1 ), although large-scale circulation changes affect this response regionally. However, rare events can scale at higher rates, and localized heavy short-duration (hourly and sub-hourly) intensities can respond more strongly (e.g. 2 × CC instead of CC). Day-to-day scaling of short-duration intensities supports a higher scaling, with mechanisms proposed for this related to local-scale dynamics of convective storms, but its relevance to climate change is not clear. Uncertainty in changes to precipitation extremes remains and is influenced by many factors, including large-scale circulation, convective storm dynamics andstratification. Despite this, recent research has increased confidence in both the detectability and understanding of changes in various aspects of intense short-duration rainfall. To make further progress, the international coordination of datasets, model experiments and evaluations will be required, with consistent and standardized comparison methods and metrics, and recommendations are made for these frameworks. This article is part of a discussion meeting issue ‘Intensification of short-duration rainfall extremes and implications for flash flood risks’.
    Type of Medium: Online Resource
    ISSN: 1364-503X , 1471-2962
    RVK:
    Language: English
    Publisher: The Royal Society
    Publication Date: 2021
    detail.hit.zdb_id: 208381-4
    detail.hit.zdb_id: 1462626-3
    SSG: 11
    SSG: 5,1
    SSG: 5,21
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  • 2
    Online Resource
    Online Resource
    American Association for the Advancement of Science (AAAS) ; 2011
    In:  Science Vol. 334, No. 6061 ( 2011-12-09), p. 1360-1361
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 334, No. 6061 ( 2011-12-09), p. 1360-1361
    Abstract: Predictions of future climate change are subject to considerable uncertainty, for two main reasons: Future factors that may influence climate—such as emissions of greenhouse gases, volcanic eruptions, and changing solar activity—are uncertain; and knowledge of how strongly the climate system responds to external influences, particularly increases in greenhouse gases, is incomplete. One way to summarize this latter type of uncertainty is by estimating the equilibrium climate sensitivity (ECS), which is defined as the equilibrium response of global surface temperature to a doubling of the atmospheric CO 2 concentration. On page 1385 of this issue, Schmittner et al. ( 1 ) report that the use of spatially more complete paleoclimate data for the Last Glacial Maximum (LGM) shows promise for narrowing the ECS uncertainty ranges relative to previous estimates.
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
    RVK:
    RVK:
    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2011
    detail.hit.zdb_id: 128410-1
    detail.hit.zdb_id: 2066996-3
    detail.hit.zdb_id: 2060783-0
    SSG: 11
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  • 3
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 1996
    In:  Environmental Science and Pollution Research Vol. 3, No. 2 ( 1996-6), p. 99-102
    In: Environmental Science and Pollution Research, Springer Science and Business Media LLC, Vol. 3, No. 2 ( 1996-6), p. 99-102
    Type of Medium: Online Resource
    ISSN: 0944-1344 , 1614-7499
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 1996
    detail.hit.zdb_id: 2014192-0
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  • 4
    Online Resource
    Online Resource
    IOP Publishing ; 2011
    In:  Environmental Research Letters Vol. 6, No. 3 ( 2011-09-01), p. 031002-
    In: Environmental Research Letters, IOP Publishing, Vol. 6, No. 3 ( 2011-09-01), p. 031002-
    Type of Medium: Online Resource
    ISSN: 1748-9326
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2011
    detail.hit.zdb_id: 2255379-4
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  • 5
    Online Resource
    Online Resource
    Copernicus GmbH ; 2023
    In:  Advances in Statistical Climatology, Meteorology and Oceanography Vol. 9, No. 1 ( 2023-05-24), p. 45-66
    In: Advances in Statistical Climatology, Meteorology and Oceanography, Copernicus GmbH, Vol. 9, No. 1 ( 2023-05-24), p. 45-66
    Abstract: Abstract. In this study we detect and quantify changes in the distribution of the annual maximum daily maximum temperature (TXx) in a large observation-based gridded data set of European daily temperature during the years 1950–2018. Several statistical models are considered, each of which analyses TXx using a generalized extreme-value (GEV) distribution with the GEV parameters varying smoothly over space. In contrast to several previous studies which fit independent GEV models at the grid-box level, our models pull information from neighbouring grid boxes for more efficient parameter estimation. The GEV location and scale parameters are allowed to vary in time using the log of atmospheric CO2 as a covariate. Changes are detected most strongly in the GEV location parameter, with the TXx distributions generally shifting towards hotter temperatures. Averaged across our spatial domain, the 100-year return level of TXx based on the 2018 climate is approximately 2 ∘C (95 % confidence interval of [2.03,2.12] ∘C) hotter than that based on the 1950 climate. Moreover, averaged across our spatial domain, the 100-year return level of TXx based on the 1950 climate corresponds approximately to a 6-year return level in the 2018 climate.
    Type of Medium: Online Resource
    ISSN: 2364-3587
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2023
    detail.hit.zdb_id: 2840620-5
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  • 6
    Online Resource
    Online Resource
    IOP Publishing ; 2011
    In:  Environmental Research Letters Vol. 6, No. 4 ( 2011-12-01), p. 044025-
    In: Environmental Research Letters, IOP Publishing, Vol. 6, No. 4 ( 2011-12-01), p. 044025-
    Abstract: Attributing observed climate change to causes is challenging. This letter communicates the physical arguments used in attribution, and the statistical methods applied to explore to what extent different possible causes can be used to explain the recent climate records. The methods use fingerprints of climate change that are identified on the basis of the physics governing our climate system, and through the use of climate model experiments. These fingerprints characterize the geographical and vertical pattern of the expected changes caused by external influences, for example, greenhouse gas increases and changes in solar radiation, taking also into account how these forcings and their effects vary over time. These time–space fingerprints can be used to discriminate between observed climate changes caused by different external factors. Attribution assessments necessarily take the natural variability of the climate system into account as well, evaluating whether an observed change can be explained in terms of this internal variability alone, and estimating the contribution of this source of variability to the observed change. Hence the assessment that a large part of the observed recent warming is anthropogenic is based on a rigorous quantitative analysis of these joint drivers and their effects, and proceeds through a much more comprehensive and layered analysis than a comparison at face value of model simulations with observations.
    Type of Medium: Online Resource
    ISSN: 1748-9326
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2011
    detail.hit.zdb_id: 2255379-4
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  • 7
    Online Resource
    Online Resource
    IOP Publishing ; 2019
    In:  Environmental Research Letters Vol. 14, No. 9 ( 2019-09-01), p. 094019-
    In: Environmental Research Letters, IOP Publishing, Vol. 14, No. 9 ( 2019-09-01), p. 094019-
    Abstract: The European summer of 1816 has often been referred to as a ‘year without a summer’ due to anomalously cold conditions and unusual wetness, which led to widespread famines and agricultural failures. The cause has often been assumed to be the eruption of Mount Tambora in April 1815, however this link has not, until now, been proven. Here we apply state-of-the-art event attribution methods to quantify the contribution by the eruption and random weather variability to this extreme European summer climate anomaly. By selecting analogue summers that have similar sea-level-pressure patterns to that observed in 1816 from both observations and unperturbed climate model simulations, we show that the circulation state can reproduce the precipitation anomaly without external forcing, but can explain only about a quarter of the anomalously cold conditions. We find that in climate models, including the forcing by the Tambora eruption makes the European cold anomaly up to 100 times more likely, while the precipitation anomaly became 1.5–3 times as likely, attributing a large fraction of the observed anomalies to the volcanic forcing. Our study thus demonstrates how linking regional climate anomalies to large-scale circulation is necessary to quantitatively interpret and attribute post-eruption variability.
    Type of Medium: Online Resource
    ISSN: 1748-9326
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2019
    detail.hit.zdb_id: 2255379-4
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  • 8
    Online Resource
    Online Resource
    IOP Publishing ; 2020
    In:  Environmental Research Letters Vol. 15, No. 10 ( 2020-10-01), p. 104026-
    In: Environmental Research Letters, IOP Publishing, Vol. 15, No. 10 ( 2020-10-01), p. 104026-
    Abstract: Climate models predict a strengthening contrast between wet and dry regions in the tropics and subtropics (30 °S–30 °N), and data from the latest model intercomparison project (CMIP6) support this expectation. Rainfall in ascending regions increases, and in descending regions decreases in climate models, reanalyses, and observational data. This strengthening contrast can be captured by tracking the rainfall change each month in the wettest and driest third of the tropics and subtropics combined. Since wet and dry regions are selected individually every month for each model ensemble member, and the observations, this analysis is largely unaffected by biases in location of precipitation features. Blended satellite and in situ data from 1988–2019 support the CMIP6-model-simulated tendency of sharpening contrasts between wet and dry regions, with rainfall in wet regions increasing substantially opposed by a slight decrease in dry regions. We detect the effect of external forcings on tropical and subtropical observed precipitation in wet and dry regions combined, and attribute this change for the first time to anthropogenic and natural forcings separately. Our results show that most of the observed change has been caused by increasing greenhouse gases. Natural forcings also contribute, following the drop in wet-region precipitation after the 1991 eruption of Mount Pinatubo, while anthropogenic aerosol effects show only weak trends in tropic-wide wet and dry regions consistent with flat global aerosol forcing over the analysis period. The observed response to external forcing is significantly larger ( p 〉 0.95) than the multi-model mean simulated response. As expected from climate models, the observed signal strengthens further when focusing on the wet tail of spatial distributions in both models and data.
    Type of Medium: Online Resource
    ISSN: 1748-9326
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2020
    detail.hit.zdb_id: 2255379-4
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  • 9
    Online Resource
    Online Resource
    IOP Publishing ; 2017
    In:  Environmental Research Letters Vol. 12, No. 2 ( 2017-02-01), p. 024015-
    In: Environmental Research Letters, IOP Publishing, Vol. 12, No. 2 ( 2017-02-01), p. 024015-
    Abstract: Recent trends in summer heat waves (HW) over Central-Eastern China and their atmospheric drivers are investigated using the ERA Interim re-analysis. A composite analysis shows that these events are preceded by an increase in 500 hPa geopotential height. Consequently, a subsidence anomaly develops over the region and surface solar radiation increases. An increase in the northward moisture transport from the tropical region is also found to increase specific humidity, leading to warmer night-time temperatures. Feedback effects are also important: decrease of precipitation and enhanced evaporation also increases the specific humidity and North-Westerlies due to the low pressure lead to more heat convergence. HW occurrence increases, especially during the last decade, and is largely due to an increase in the mean temperature rather than to a change in dynamics, suggesting a human influence.
    Type of Medium: Online Resource
    ISSN: 1748-9326
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2017
    detail.hit.zdb_id: 2255379-4
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  • 10
    Online Resource
    Online Resource
    IOP Publishing ; 2017
    In:  Environmental Research Letters Vol. 12, No. 11 ( 2017-11-01), p. 114010-
    In: Environmental Research Letters, IOP Publishing, Vol. 12, No. 11 ( 2017-11-01), p. 114010-
    Type of Medium: Online Resource
    ISSN: 1748-9326
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2017
    detail.hit.zdb_id: 2255379-4
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