標(biāo)題: Titlebook: Extremes in a Changing Climate; Detection, Analysis Amir AghaKouchak,David Easterling,Soroosh Sorooshi Book 2013 Springer Science+Business [打印本頁] 作者: 突然 時間: 2025-3-21 19:12
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書目名稱Extremes in a Changing Climate網(wǎng)絡(luò)公開度學(xué)科排名
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書目名稱Extremes in a Changing Climate讀者反饋學(xué)科排名
作者: 情感脆弱 時間: 2025-3-21 22:13
Gian Paolo Clemente,Nino Savelliruction of regional non-stationary models. Such models are based on the concept of “regional parameters”, i.e. parameters being assumed identical for all sites within a homogeneous region. The inference of regional models poses an additional difficulty compared to the at-site approach: the existence作者: 放縱 時間: 2025-3-22 03:37
Consequences for Insurance Workers,ltivariate Return Periods, quantiles, and design events, which represent quantities of utmost interest in applications, is rather tricky. In this Chapter we show how the use of Copulas may help in dealing with (and, possibly, solving) these problems.作者: crescendo 時間: 2025-3-22 07:15 作者: Catheter 時間: 2025-3-22 10:40
https://doi.org/10.1007/978-3-030-38185-1n the predominant time of observation are provided. Sampling uncertainties are greater for precipitation than temperature extremes, because precipitation extremes are smaller in scale. A Monte Carlo approach to quantify sampling uncertainty is described, based on station distribution in the U.S. coo作者: 故意釣到白楊 時間: 2025-3-22 15:42 作者: 故意釣到白楊 時間: 2025-3-22 17:38
Jacoby Adeshei Carter,Darryl Scrivennd the use of covariates. A changing climate may prove impetus to change some of the existing paradigms and explore new avenues. The need to reduce uncertainty, or alternatively derive more reliable uncertainty estimates, is exacerbated in a changing climate. One of the key strategies should be a mo作者: hardheaded 時間: 2025-3-22 23:48
Bayesian Methods for Non-stationary Extreme Value Analysis,ruction of regional non-stationary models. Such models are based on the concept of “regional parameters”, i.e. parameters being assumed identical for all sites within a homogeneous region. The inference of regional models poses an additional difficulty compared to the at-site approach: the existence作者: 背叛者 時間: 2025-3-23 04:38 作者: Bone-Scan 時間: 2025-3-23 09:22 作者: Limpid 時間: 2025-3-23 10:34
Uncertainties in Observed Changes in Climate Extremes,n the predominant time of observation are provided. Sampling uncertainties are greater for precipitation than temperature extremes, because precipitation extremes are smaller in scale. A Monte Carlo approach to quantify sampling uncertainty is described, based on station distribution in the U.S. coo作者: diabetes 時間: 2025-3-23 14:44 作者: Harness 時間: 2025-3-23 19:47 作者: 使乳化 時間: 2025-3-23 23:43 作者: enfeeble 時間: 2025-3-24 04:36
Water Science and Technology Libraryhttp://image.papertrans.cn/f/image/320079.jpg作者: Cocker 時間: 2025-3-24 10:09 作者: projectile 時間: 2025-3-24 14:20
Extremes in a Changing Climate978-94-007-4479-0Series ISSN 0921-092X Series E-ISSN 1872-4663 作者: 吃掉 時間: 2025-3-24 18:43
The Perspectives of the Stakeholders,e used to assess changes in future extremes as projected by climate models. We also present examples in which the influence of anthropogenic climate change has been identified on extreme daily temperature, extreme daily precipitation, and the probability of occurrence for a specific extreme event.作者: overbearing 時間: 2025-3-24 21:35
Statistical Indices for the Diagnosing and Detecting Changes in Extremes,e used to assess changes in future extremes as projected by climate models. We also present examples in which the influence of anthropogenic climate change has been identified on extreme daily temperature, extreme daily precipitation, and the probability of occurrence for a specific extreme event.作者: 自傳 時間: 2025-3-25 02:22
https://doi.org/10.1007/978-94-007-4479-0Analysis of Extremes; Climate Change; Climate Extremes; Water Resources; Weather Extremes作者: MIRE 時間: 2025-3-25 05:19 作者: 盟軍 時間: 2025-3-25 08:22 作者: Encumber 時間: 2025-3-25 13:07
Gian Paolo Clemente,Nino Savellierence offers an attractive framework to estimate non-stationary models and, importantly, to quantify estimation and predictive uncertainties..This chapter therefore focuses on the application of Bayesian inference to non-stationary extreme models. It is organized as a step-by-step building of non-s作者: infarct 時間: 2025-3-25 19:53
https://doi.org/10.1007/978-3-642-22435-5irst eschews the term return period and instead communicates yearly risk in terms of a probability of exceedance. The second extends the notion of return period to the non-stationary setting. We examine two different definitions of return period under non-stationarity. The first, which appears in Ol作者: Gourmet 時間: 2025-3-25 23:13 作者: 馬籠頭 時間: 2025-3-26 03:07
Gambling on My Life and My Right to Lives various parametric and nonparametric tail dependence coefficient estimators. The tail dependence coefficient describes the dependence (degree of association) between concurrent extremes at different locations. Accurate and reliable knowledge of the spatial characteristics of extremes can help impr作者: 不要嚴(yán)酷 時間: 2025-3-26 05:46 作者: 溝通 時間: 2025-3-26 12:18
Some Examples of Discriminationitation provide measures of moderately rare weather events that are straightforward to calculate. Drought indices provide measures of both agricultural and hydrological drought that are especially suitable for constructing multi-model ensemble projections of future change. Extreme value statistical 作者: 貴族 時間: 2025-3-26 14:38 作者: 貧困 時間: 2025-3-26 17:33
https://doi.org/10.1007/978-3-030-38185-1 climate system; inhomogeneities in the climate station records, and incomplete sampling of the climate system. There is no known theoretical basis for characterizing uncertainties arising from the chaotic nature of the climate system. Ensemble simulations as well as long control simulations from cl作者: Obituary 時間: 2025-3-26 21:52 作者: reflection 時間: 2025-3-27 04:44
https://doi.org/10.1007/978-3-642-32433-8mes, such as drought, heavy precipitation, heat waves or tropical storms requires long-term observations of climate at sufficiently high temporal resolution to identify individual extreme events and is spatially complete enough to use at both global and regional scales. This chapter discusses variou作者: 制造 時間: 2025-3-27 08:59 作者: 使閉塞 時間: 2025-3-27 13:13 作者: construct 時間: 2025-3-27 17:39
Statistical Methods for Nonstationary Extremes,., for the proverbial “100-yr flood”). For the most part, these methods are based on the assumption of stationarity (i.e., an unchanging climate in a statistical sense). The focus of this chapter is on how the familiar distributions that arise in extreme value theory, namely the generalized extreme 作者: obsolete 時間: 2025-3-27 18:04
Bayesian Methods for Non-stationary Extreme Value Analysis,erence offers an attractive framework to estimate non-stationary models and, importantly, to quantify estimation and predictive uncertainties..This chapter therefore focuses on the application of Bayesian inference to non-stationary extreme models. It is organized as a step-by-step building of non-s作者: myopia 時間: 2025-3-27 22:57
Return Periods and Return Levels Under Climate Change,irst eschews the term return period and instead communicates yearly risk in terms of a probability of exceedance. The second extends the notion of return period to the non-stationary setting. We examine two different definitions of return period under non-stationarity. The first, which appears in Ol作者: Tidious 時間: 2025-3-28 02:06
Multivariate Extreme Value Methods,ll as the number of designs based on an explicit treatment of multivariate variables is yet limited as compared to univariate analysis. A first problem arising when working in a multidimensional context is the lack of a “natural” definition of extreme values: essentially, this is due to the fact tha作者: 滔滔不絕地講 時間: 2025-3-28 09:07 作者: Lineage 時間: 2025-3-28 14:10
Stochastic Models of Climate Extremes: Theory and Observations,ad consensus that the most hazardous effects of climate change are due to a potential increase (in frequency and/or intensity) of extreme weather and climate events. Extreme events are by definition rare, but they can have a significant impact on people and countries in the affected regions. Here an作者: 欲望小妹 時間: 2025-3-28 15:11
Methods of Projecting Future Changes in Extremes,itation provide measures of moderately rare weather events that are straightforward to calculate. Drought indices provide measures of both agricultural and hydrological drought that are especially suitable for constructing multi-model ensemble projections of future change. Extreme value statistical 作者: 聽寫 時間: 2025-3-28 18:54
Climate Variability and Weather Extremes: Model-Simulated and Historical Data,ge that go well beyond broad statements about how much the global mean temperature will change. This in turn requires increasingly more comprehensive assessments of the quality of climate models to reproduce past regional climate impacts as well as the full spectrum of observed climate variability i作者: Keratectomy 時間: 2025-3-29 01:51 作者: 名詞 時間: 2025-3-29 05:46
Uncertainties in Projections of Future Changes in Extremes,cisions about whether to invest in adaptation measures today or to wait for more convincing information, it is critical that managers understand the uncertainties of projecting changes in extremes. Uncertainties arise from several methodological choices including criteria that drive selection of glo作者: 安心地散步 時間: 2025-3-29 08:20 作者: UTTER 時間: 2025-3-29 12:33
Nonstationarity in Extremes and Engineering Design,rology, statistics, engineering and decision-making. This chapter gives a broad overview over relevant key aspects in these areas including definitions of key words like ‘extremes’ and ‘stationarity’. We briefly cover current knowledge of both climate variability and climate change and effects on hy作者: CROAK 時間: 2025-3-29 16:17 作者: Obsessed 時間: 2025-3-29 23:09 作者: 遺留之物 時間: 2025-3-29 23:57
Book 2013case studies on extreme climate conditions are provided.? .Audience.The book is suitable for teaching in graduate courses in the disciplines of Civil and Environmental Engineering, Earth System Science, Meteorology and Atmospheric Sciences..作者: Repatriate 時間: 2025-3-30 07:29
