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  • 1
    In: Nature, Springer Science and Business Media LLC, Vol. 583, No. 7814 ( 2020-07-02), p. 90-95
    Type of Medium: Online Resource
    ISSN: 0028-0836 , 1476-4687
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
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    detail.hit.zdb_id: 1413423-8
    SSG: 11
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  • 2
    In: Nature, Springer Science and Business Media LLC, Vol. 584, No. 7819 ( 2020-08-06), p. E2-E2
    Type of Medium: Online Resource
    ISSN: 0028-0836 , 1476-4687
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
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    detail.hit.zdb_id: 1413423-8
    SSG: 11
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  • 3
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2020
    In:  Climate Dynamics Vol. 54, No. 3-4 ( 2020-02), p. 1741-1759
    In: Climate Dynamics, Springer Science and Business Media LLC, Vol. 54, No. 3-4 ( 2020-02), p. 1741-1759
    Abstract: The tropics are expanding poleward at about $$0.5{^\circ }$$ 0.5 ∘ per decade in observations. This poleward expansion of the circulation is consistently reported using Hadley cell edge metrics and lower-atmospheric tropical edge metrics. However, some upper-atmospheric tropical metrics report smaller trends that are often not significant. One such upper-atmospheric metric is the subtropical jet latitude, which has smaller trends compared to the Hadley cell edge. In this study we investigate the robustness of the weak trends in the subtropical jet position by introducing a new method for locating the subtropical jet, and examining the trends and variability of the subtropical jet latitude. We introduce the tropopause gradient method based on the peak gradient in potential temperature along the dynamic tropopause. Using this method we find the trends in the subtropical jet latitude are indeed much smaller than $$0.5{^\circ }$$ 0.5 ∘ per decade, consistent with previous studies. We also find that natural variability within the subtropical jet latitude would not prevent trends from being detected if they were similar to the Hadley cell edge, as trends greater than 0.24 $${^\circ }$$ ∘ per decade could reliably be detected using monthly data or 0.09 $${^\circ }$$ ∘ per decade using daily data. Despite the poleward expansion of the tropics, there is no robust evidence to suggest the subtropical jet is shifting poleward in either hemisphere. Neither the current diagnostic methods nor natural variability can account for the small subtropical jet trends. The most likely explanation, which requires further investigation, is that the subtropical jet position is not tied dynamically to the Hadley cell edge.
    Type of Medium: Online Resource
    ISSN: 0930-7575 , 1432-0894
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 382992-3
    detail.hit.zdb_id: 1471747-5
    SSG: 16,13
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  • 4
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2019
    In:  Journal of the Royal Statistical Society Series C: Applied Statistics Vol. 68, No. 5 ( 2019-11-01), p. 1259-1280
    In: Journal of the Royal Statistical Society Series C: Applied Statistics, Oxford University Press (OUP), Vol. 68, No. 5 ( 2019-11-01), p. 1259-1280
    Abstract: We develop Bayesian state space methods for modelling changes to the mean level or temporal correlation structure of an observed time series due to intermittent coupling with an unobserved process. Novel intervention methods are proposed to model the effect of repeated coupling as a single dynamic process. Latent time varying auto-regressive components are developed to model changes in the temporal correlation structure. Efficient filtering and smoothing methods are derived for the resulting class of models. We propose methods for quantifying the component of variance attributable to an unobserved process, the effect during individual coupling events and the potential for skilful forecasts. The methodology proposed is applied to the study of winter time variability in the dominant pattern of climate variation in the northern hemisphere: the North Atlantic oscillation. Around 70% of the interannual variance in the winter (December–January–February) mean level is attributable to an unobserved process. Skilful forecasts for the winter (December–January–February) mean are possible from the beginning of December.
    Type of Medium: Online Resource
    ISSN: 0035-9254 , 1467-9876
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    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2019
    detail.hit.zdb_id: 204797-4
    detail.hit.zdb_id: 1482300-7
    detail.hit.zdb_id: 1476894-X
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  • 5
    Online Resource
    Online Resource
    American Meteorological Society ; 2013
    In:  Journal of Climate Vol. 26, No. 12 ( 2013-06-15), p. 4017-4037
    In: Journal of Climate, American Meteorological Society, Vol. 26, No. 12 ( 2013-06-15), p. 4017-4037
    Abstract: Future climate change projections are often derived from ensembles of simulations from multiple global circulation models using heuristic weighting schemes. This study provides a more rigorous justification for this by introducing a nested family of three simple analysis of variance frameworks. Statistical frameworks are essential in order to quantify the uncertainty associated with the estimate of the mean climate change response. The most general framework yields the “one model, one vote” weighting scheme often used in climate projection. However, a simpler additive framework is found to be preferable when the climate change response is not strongly model dependent. In such situations, the weighted multimodel mean may be interpreted as an estimate of the actual climate response, even in the presence of shared model biases. Statistical significance tests are derived to choose the most appropriate framework for specific multimodel ensemble data. The framework assumptions are explicit and can be checked using simple tests and graphical techniques. The frameworks can be used to test for evidence of nonzero climate response and to construct confidence intervals for the size of the response. The methodology is illustrated by application to North Atlantic storm track data from the Coupled Model Intercomparison Project phase 5 (CMIP5) multimodel ensemble. Despite large variations in the historical storm tracks, the cyclone frequency climate change response is not found to be model dependent over most of the region. This gives high confidence in the response estimates. Statistically significant decreases in cyclone frequency are found on the flanks of the North Atlantic storm track and in the Mediterranean basin.
    Type of Medium: Online Resource
    ISSN: 0894-8755 , 1520-0442
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    Language: English
    Publisher: American Meteorological Society
    Publication Date: 2013
    detail.hit.zdb_id: 246750-1
    detail.hit.zdb_id: 2021723-7
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  • 6
    Online Resource
    Online Resource
    American Meteorological Society ; 2016
    In:  Journal of Climate Vol. 29, No. 20 ( 2016-10-15), p. 7203-7213
    In: Journal of Climate, American Meteorological Society, Vol. 29, No. 20 ( 2016-10-15), p. 7203-7213
    Abstract: The inclusion of carbon cycle processes within CMIP5 Earth system models provides the opportunity to explore the relative importance of differences in scenario and climate model representation to future land and ocean carbon fluxes. A two-way analysis of variance (ANOVA) approach was used to quantify the variability owing to differences between scenarios and between climate models at different lead times. For global ocean carbon fluxes, the variance attributed to differences between representative concentration pathway scenarios exceeds the variance attributed to differences between climate models by around 2025, completely dominating by 2100. This contrasts with global land carbon fluxes, where the variance attributed to differences between climate models continues to dominate beyond 2100. This suggests that modeled processes that determine ocean fluxes are currently better constrained than those of land fluxes; thus, one can be more confident in linking different future socioeconomic pathways to consequences of ocean carbon uptake than for land carbon uptake. The contribution of internal variance is negligible for ocean fluxes and small for land fluxes, indicating that there is little dependence on the initial conditions. The apparent agreement in atmosphere–ocean carbon fluxes, globally, masks strong climate model differences at a regional level. The North Atlantic and Southern Ocean are key regions, where differences in modeled processes represent an important source of variability in projected regional fluxes.
    Type of Medium: Online Resource
    ISSN: 0894-8755 , 1520-0442
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    Language: English
    Publisher: American Meteorological Society
    Publication Date: 2016
    detail.hit.zdb_id: 246750-1
    detail.hit.zdb_id: 2021723-7
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  • 7
    Online Resource
    Online Resource
    American Meteorological Society ; 2016
    In:  Journal of Climate Vol. 29, No. 20 ( 2016-10-15), p. 7247-7264
    In: Journal of Climate, American Meteorological Society, Vol. 29, No. 20 ( 2016-10-15), p. 7247-7264
    Abstract: This study describes a systematic approach to selecting optimal statistical recalibration methods and hindcast designs for producing reliable probability forecasts on seasonal-to-decadal time scales. A new recalibration method is introduced that includes adjustments for both unconditional and conditional biases in the mean and variance of the forecast distribution and linear time-dependent bias in the mean. The complexity of the recalibration can be systematically varied by restricting the parameters. Simple recalibration methods may outperform more complex ones given limited training data. A new cross-validation methodology is proposed that allows the comparison of multiple recalibration methods and varying training periods using limited data. Part I considers the effect on forecast skill of varying the recalibration complexity and training period length. The interaction between these factors is analyzed for gridbox forecasts of annual mean near-surface temperature from the CanCM4 model. Recalibration methods that include conditional adjustment of the ensemble mean outperform simple bias correction by issuing climatological forecasts where the model has limited skill. Trend-adjusted forecasts outperform forecasts without trend adjustment at almost 75% of grid boxes. The optimal training period is around 30 yr for trend-adjusted forecasts and around 15 yr otherwise. The optimal training period is strongly related to the length of the optimal climatology. Longer training periods may increase overall performance but at the expense of very poor forecasts where skill is limited.
    Type of Medium: Online Resource
    ISSN: 0894-8755 , 1520-0442
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    Language: English
    Publisher: American Meteorological Society
    Publication Date: 2016
    detail.hit.zdb_id: 246750-1
    detail.hit.zdb_id: 2021723-7
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  • 8
    Online Resource
    Online Resource
    Informa UK Limited ; 2021
    In:  Journal of the American Statistical Association Vol. 116, No. 534 ( 2021-04-03), p. 546-557
    In: Journal of the American Statistical Association, Informa UK Limited, Vol. 116, No. 534 ( 2021-04-03), p. 546-557
    Type of Medium: Online Resource
    ISSN: 0162-1459 , 1537-274X
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    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2064981-2
    detail.hit.zdb_id: 207602-0
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  • 9
    In: Veterinary Record Open, Wiley, Vol. 6, No. 1 ( 2019-01)
    Abstract: To evaluate the prevalence of seroconversion to Toxoplasma gondii in dogs with uveitis and dogs without uveitis. Methods In total, 135 dogs were evaluated: 51 dogs were diagnosed with uveitis, and 84 dogs were without uveitis. Latex agglutination tests were performed on all sera, and the results were evaluated. Results Overall, 7.8 and 6.0 per cent of sera were positive for the presence of anti‐ T gondii antibodies (dilution ≥1:64) in the groups with uveitis and non‐uveitis dogs, respectively. The frequency distribution of variables (positive and negative results in the uveitis and the non‐uveitis group of dogs) was tested with Fisher's exact test. There was no statistically significant difference between groups (P=0.73). Clinical significance These findings suggest that evidence of exposure to T gondii was not significantly different between uveitis and non‐uveitis groups of dogs and that the possible association between exposure to T gondii and canine uveitis requires further investigation. This study is the first to report the seroprevalence of anti‐ T gondii antibodies in dogs in the UK population and the first to report the seroprevalence of anti‐ T gondii antibodies in dogs with uveitis.
    Type of Medium: Online Resource
    ISSN: 2399-2050 , 2052-6113
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 2782580-2
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  • 10
    Online Resource
    Online Resource
    American Meteorological Society ; 2016
    In:  Journal of Climate Vol. 29, No. 3 ( 2016-02-01), p. 995-1012
    In: Journal of Climate, American Meteorological Society, Vol. 29, No. 3 ( 2016-02-01), p. 995-1012
    Abstract: Predictability estimates of ensemble prediction systems are uncertain because of limited numbers of past forecasts and observations. To account for such uncertainty, this paper proposes a Bayesian inferential framework that provides a simple 6-parameter representation of ensemble forecasting systems and the corresponding observations. The framework is probabilistic and thus allows for quantifying uncertainty in predictability measures, such as correlation skill and signal-to-noise ratios. It also provides a natural way to produce recalibrated probabilistic predictions from uncalibrated ensembles forecasts. The framework is used to address important questions concerning the skill of winter hindcasts of the North Atlantic Oscillation for 1992–2011 issued by the Met Office Global Seasonal Forecast System, version 5 (GloSea5), climate prediction system. Although there is much uncertainty in the correlation between ensemble mean and observations, there is strong evidence of skill: the 95% credible interval of the correlation coefficient of [0.19, 0.68] does not overlap zero. There is also strong evidence that the forecasts are not exchangeable with the observations: with over 99% certainty, the signal-to-noise ratio of the forecasts is smaller than the signal-to-noise ratio of the observations, which suggests that raw forecasts should not be taken as representative scenarios of the observations. Forecast recalibration is thus required, which can be coherently addressed within the proposed framework.
    Type of Medium: Online Resource
    ISSN: 0894-8755 , 1520-0442
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    Language: English
    Publisher: American Meteorological Society
    Publication Date: 2016
    detail.hit.zdb_id: 246750-1
    detail.hit.zdb_id: 2021723-7
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