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  • 1
    Online Resource
    Online Resource
    Household Severe Acute Respiratory Syndrome Coronavirus 2 Transmission and Children: A Network Prospective Study
    Oxford University Press (OUP) ; 2021
    In:  Clinical Infectious Diseases Vol. 73, No. 6 ( 2021-09-15), p. e1261-e1269
    Details
    In: Clinical Infectious Diseases, Oxford University Press (OUP), Vol. 73, No. 6 ( 2021-09-15), p. e1261-e1269
    Abstract: The role of children in household transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains unclear. We describe the epidemiological and clinical characteristics of children with coronavirus disease 2019 (COVID-19) in Catalonia, Spain, and investigate the household transmission dynamics. Methods A prospective, observational, multicenter study was performed during summer and school periods (1 July 2020–31 October 2020) to analyze epidemiological and clinical features and viral household transmission dynamics in COVID-19 patients aged & lt;16 years. A pediatric index case was established when a child was the first individual infected. Secondary cases were defined when another household member tested positive for SARS-CoV-2 before the child. The secondary attack rate (SAR) was calculated, and logistic regression was used to assess associations between transmission risk factors and SARS-CoV-2 infection. Results The study included 1040 COVID-19 patients. Almost half (47.2%) were asymptomatic, 10.8% had comorbidities, and 2.6% required hospitalization. No deaths were reported. Viral transmission was common among household members (62.3%). More than 70% (756/1040) of pediatric cases were secondary to an adult, whereas 7.7% (80/1040) were index cases. The SAR was significantly lower in households with COVID-19 pediatric index cases during the school period relative to summer (P = .02) and compared to adults (P = .006). No individual or environmental risk factors associated with the SAR. Conclusions Children are unlikely to cause household COVID-19 clusters or be major drivers of the pandemic, even if attending school. Interventions aimed at children are expected to have a small impact on reducing SARS-CoV-2 transmission.
    Type of Medium: Online Resource
    ISSN: 1058-4838 , 1537-6591
    URL: Article
    DOI: 10.1093/cid/ciab228
    RVK:
    XA 10000
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2002229-3
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  • 2
    Online Resource
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    Historical changes in the Davis Strait Baffin Bay surface winds and waves, 1979-2016
    American Meteorological Society ; 2021
    In:  Journal of Climate ( 2021-10-04), p. 1-44
    Details
    In: Journal of Climate, American Meteorological Society, ( 2021-10-04), p. 1-44
    Abstract: This study presents and analyzes Environment Canada’s Davis Strait Baffin Bay (EC-DSBB) Wind and Wave Reanalysis for the period 1979-2016, to characterize the historical changes in the surface wind speed and ocean surface waves. The trend analysis is carried out only for the months of May-December, when there is a significant ice-free sea area. The results show that 10-meter wind speed ( W s ) has increased significantly in most area of the domain in September-December, with some significant decreases over the open water area in June and July. The W s increases are most extensive in September, with significant increases in both the mean and extremes. It is also shown that the mean wind direction ( W d ) has a distinctive seasonal variation, being mainly north- and northwest-ward in June-August, and predominantly south- and southeast-ward in May and September-December. The most notable changes in W d are seen in June. The results also show that significant wave height ( H s ) and wave power ( W p ) have significantly increased in September-December and decreased in June. For example, the September regional mean H s has increased at a rate of 0.4%/year. In September-December, the local W s increases seem to be the main driver for the H s and W p increases, but such southeast-ward direction is favored by increasing fetch as sea ice retreats. In September and December, the positive trend in both W s and H s has intensified in the 2001-2016. In June, however, the mean W d and the changes therein also play an important role in the H s changes, which are more affected by remotely generated waves.
    Type of Medium: Online Resource
    ISSN: 0894-8755 , 1520-0442
    URL: Article
    URL: Article
    DOI: 10.1175/JCLI-D-21-0054.1
    DOI: 10.1175/JCLI-D-21-0054.s1
    RVK:
    UA 4548
    Language: Unknown
    Publisher: American Meteorological Society
    Publication Date: 2021
    detail.hit.zdb_id: 246750-1
    detail.hit.zdb_id: 2021723-7
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  • 3
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    Statistical modelling and climate variability of compound surge and precipitation events in a managed water system: a case study in the Netherlands
    Copernicus GmbH ; 2021
    In:  Hydrology and Earth System Sciences Vol. 25, No. 6 ( 2021-06-24), p. 3595-3615
    Details
    In: Hydrology and Earth System Sciences, Copernicus GmbH, Vol. 25, No. 6 ( 2021-06-24), p. 3595-3615
    Abstract: Abstract. The co-occurrence of (not necessarily extreme) precipitation and surge can lead to extreme inland water levels in coastal areas. In a previous work the positive dependence between the two meteorological drivers was demonstrated in a managed water system in the Netherlands by empirically investigating an 800-year time series of water levels, which were simulated via a physical-based hydrological model driven by a regional climate model large ensemble. In this study, we present an impact-focused multivariate statistical framework to model the dependence between these flooding drivers and the resulting return periods of inland water levels. This framework is applied to the same managed water system using the aforementioned large ensemble. Composite analysis is used to guide the selection of suitable predictors and to obtain an impact function that optimally describes the relationship between high inland water levels (the impact) and the explanatory predictors. This is complex due to the high degree of human management affecting the dynamics of the water level. Training the impact function with subsets of data uniformly distributed along the range of water levels plays a major role in obtaining an unbiased performance. The dependence structure between the defined predictors is modelled using two- and three-dimensional copulas. These are used to generate paired synthetic precipitation and surge events, transformed into inland water levels via the impact function. The compounding effects of surge and precipitation and the return water level estimates fairly well reproduce the earlier results from the empirical analysis of the same regional climate model ensemble. Regarding the return levels, this is quantified by a root-mean-square deviation of 0.02 m. The proposed framework is able to produce robust estimates of compound extreme water levels for a highly managed hydrological system. Even though the framework has only been applied and validated in one study area, it shows great potential to be transferred to other areas. In addition, we present a unique assessment of the uncertainty when using only 50 years of data (what is typically available from observations). Training the impact function with short records leads to a general underestimation of the return levels as water level extremes are not well sampled. Also, the marginal distributions of the 50-year time series of the surge show high variability. Moreover, compounding effects tend to be underestimated when using 50-year slices to estimate the dependence pattern between predictors. Overall, the internal variability of the climate system is identified as a major source of uncertainty in the multivariate statistical model.
    Type of Medium: Online Resource
    ISSN: 1607-7938
    URL: Article
    URL: Article
    DOI: 10.5194/hess-25-3595-2021
    DOI: 10.5194/hess-25-3595-2021-supplement
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2021
    detail.hit.zdb_id: 2100610-6
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  • 4
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    Future wave-driven coastal sediment transport along the Catalan coast (NW Mediterranean)
    Springer Science and Business Media LLC ; 2016
    In:  Regional Environmental Change Vol. 16, No. 6 ( 2016-8), p. 1739-1750
    Details
    In: Regional Environmental Change, Springer Science and Business Media LLC, Vol. 16, No. 6 ( 2016-8), p. 1739-1750
    Type of Medium: Online Resource
    ISSN: 1436-3798 , 1436-378X
    URL: Article
    DOI: 10.1007/s10113-015-0923-x
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2016
    detail.hit.zdb_id: 1480672-1
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  • 5
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    A physical-based statistical method for modeling ocean wave heights
    Elsevier BV ; 2014
    In:  Ocean Modelling Vol. 73 ( 2014-01), p. 59-75
    Details
    In: Ocean Modelling, Elsevier BV, Vol. 73 ( 2014-01), p. 59-75
    Type of Medium: Online Resource
    ISSN: 1463-5003
    URL: Article
    DOI: 10.1016/j.ocemod.2013.10.008
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2014
    detail.hit.zdb_id: 1126496-2
    detail.hit.zdb_id: 1498544-5
    SSG: 14
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  • 6
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    DataSheet_1.pdf
    Frontiers Media SA ; 2022
    In:  Frontiers in Marine Science Vol. 9 ( 2022-7-14)
    Details
    In: Frontiers in Marine Science, Frontiers Media SA, Vol. 9 ( 2022-7-14)
    Abstract: This study assesses the effects of internal climate variability on wave height trend assessment using the d4PDF-WaveHs, the first single model initial-condition large ensemble (100-member) of significant wave height ( H s ) simulations for the 1951–2010 period, which was produced using sea level pressure taken from Japan’s d4PDF ensemble of historical climate simulations. Here, the focus is on assessing trends in annual mean and maximum H s . The result is compared with other model simulations that account for other sources of uncertainty, and with modern wave reanalyses. It is shown that the trend variability arising from internal climate variability is comparable to the variability caused by other factors, such as climate model uncertainty. This study also assesses the likelihood to mis-estimate trends when using only one ensemble member and therefore one possible realization of the climate system. Using single member failed to detect the statistically significant notable positive trend shown in the ensemble in some areas of the Southern Ocean. The North Atlantic Ocean is found to have large internal climate variability, where different ensemble-members can show trends of the opposite signs for the same area. The minimum ensemble size necessary to effectively reduce the risk of mis-assessing H s trends is estimated to be 10; but this largely depends on the specific wave statistic and the region of interest, with larger ensembles being required to assess extremes. The results also show that wave reanalyses are not suitable for analyzing H s trends due to temporal inhomogeneities therein, in agreement with recent studies.
    Type of Medium: Online Resource
    ISSN: 2296-7745
    URL: Article
    URL: Article
    DOI: 10.3389/fmars.2022.847017
    DOI: 10.3389/fmars.2022.847017.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2757748-X
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  • 7
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    A global ensemble of ocean wave climate projections from CMIP5-driven models
    Springer Science and Business Media LLC ; 2020
    In:  Scientific Data Vol. 7, No. 1 ( 2020-03-27)
    Details
    In: Scientific Data, Springer Science and Business Media LLC, Vol. 7, No. 1 ( 2020-03-27)
    Abstract: This dataset, produced through the Coordinated Ocean Wave Climate Project (COWCLIP) phase 2, represents the first coordinated multivariate ensemble of 21 st Century global wind-wave climate projections available (henceforth COWCLIP2.0). COWCLIP2.0 comprises general and extreme statistics of significant wave height ( H S ), mean wave period ( T m ), and mean wave direction ( θ m ) computed over time-slices 1979–2004 and 2081–2100, at different frequency resolutions (monthly, seasonally and annually). The full ensemble comprising 155 global wave climate simulations is obtained from ten CMIP5-based state-of-the-art wave climate studies and provides data derived from alternative wind-wave downscaling methods, and different climate-model forcing and future emissions scenarios. The data has been produced, and processed, under a specific framework for consistency and quality, and follows CMIP5 Data Reference Syntax, Directory structures, and Metadata requirements. Technical comparison of model skill against 26 years of global satellite measurements of significant wave height has been undertaken at global and regional scales. This new dataset provides support for future broad scale coastal hazard and vulnerability assessments and climate adaptation studies in many offshore and coastal engineering applications.
    Type of Medium: Online Resource
    ISSN: 2052-4463
    URL: Article
    DOI: 10.1038/s41597-020-0446-2
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2775191-0
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  • 8
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    Women with compulsive buying or gambling disorder: Similar profiles for different behavioural addictions
    Elsevier BV ; 2018
    In:  Comprehensive Psychiatry Vol. 87 ( 2018-11), p. 95-99
    Details
    In: Comprehensive Psychiatry, Elsevier BV, Vol. 87 ( 2018-11), p. 95-99
    Type of Medium: Online Resource
    ISSN: 0010-440X
    URL: Article
    DOI: 10.1016/j.comppsych.2018.09.002
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
    detail.hit.zdb_id: 2049049-5
    SSG: 5,2
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  • 9
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    Short-term statistics of waves observed in deep water
    American Geophysical Union (AGU) ; 2010
    In:  Journal of Geophysical Research Vol. 115, No. C9 ( 2010-09-29)
    Details
    In: Journal of Geophysical Research, American Geophysical Union (AGU), Vol. 115, No. C9 ( 2010-09-29)
    Type of Medium: Online Resource
    ISSN: 0148-0227
    URL: Article
    DOI: 10.1029/2009JC005742
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2010
    detail.hit.zdb_id: 2033040-6
    detail.hit.zdb_id: 3094104-0
    detail.hit.zdb_id: 2130824-X
    detail.hit.zdb_id: 2016813-5
    detail.hit.zdb_id: 2016810-X
    detail.hit.zdb_id: 2403298-0
    detail.hit.zdb_id: 2016800-7
    detail.hit.zdb_id: 161666-3
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    detail.hit.zdb_id: 2969341-X
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    detail.hit.zdb_id: 3094268-8
    detail.hit.zdb_id: 710256-2
    detail.hit.zdb_id: 2016804-4
    detail.hit.zdb_id: 3094181-7
    detail.hit.zdb_id: 3094219-6
    detail.hit.zdb_id: 3094167-2
    detail.hit.zdb_id: 2220777-6
    detail.hit.zdb_id: 3094197-0
    SSG: 16,13
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  • 10
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    Robustness and uncertainties in global multivariate wind-wave climate projections
    Springer Science and Business Media LLC ; 2019
    In:  Nature Climate Change Vol. 9, No. 9 ( 2019-09), p. 711-718
    Details
    In: Nature Climate Change, Springer Science and Business Media LLC, Vol. 9, No. 9 ( 2019-09), p. 711-718
    Type of Medium: Online Resource
    ISSN: 1758-678X , 1758-6798
    URL: Article
    DOI: 10.1038/s41558-019-0542-5
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
    detail.hit.zdb_id: 2603450-5
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