標(biāo)題: Titlebook: Analysis of Climate Variability; Applications of Stat Hans Storch,Antonio Navarra Conference proceedings 1999Latest edition Springer-Verlag [打印本頁(yè)] 作者: misperceive 時(shí)間: 2025-3-21 19:51
書目名稱Analysis of Climate Variability影響因子(影響力)
書目名稱Analysis of Climate Variability影響因子(影響力)學(xué)科排名
書目名稱Analysis of Climate Variability網(wǎng)絡(luò)公開度
書目名稱Analysis of Climate Variability網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Analysis of Climate Variability被引頻次
書目名稱Analysis of Climate Variability被引頻次學(xué)科排名
書目名稱Analysis of Climate Variability年度引用
書目名稱Analysis of Climate Variability年度引用學(xué)科排名
書目名稱Analysis of Climate Variability讀者反饋
書目名稱Analysis of Climate Variability讀者反饋學(xué)科排名
作者: 卜聞 時(shí)間: 2025-3-22 00:17
ted topics. Rather than attempting to reference every possible occurrence of some topic we have preferred to indicate the page where that topic is more extensively discussed978-3-642-08560-4978-3-662-03744-7作者: debase 時(shí)間: 2025-3-22 02:54 作者: Antecedent 時(shí)間: 2025-3-22 07:52 作者: 艦旗 時(shí)間: 2025-3-22 12:04
Statistical Analysis of GCM Outputy its response to anomalous boundary conditions or its sensitivity to changes in model formulation, and to determine its predictive skill. The first two problems are discussed in this Chapter 8 and in the next Chapter 9, while the evaluation of forecasts is discussed in Chapter 10.作者: 畏縮 時(shí)間: 2025-3-22 16:58
Teleconnection Patternsat their limited data set could generate. Modern times do not require such enormous efforts, but the two papers by Mike Wallace in collaboration with D. Gutzler and J. Horel (Wallace and Gutzler, 1981; Horel and Wallace, 1981) realized a significant breakthrough.作者: 左右連貫 時(shí)間: 2025-3-22 19:31
Hans Storch,Antonio NavarraStresses the application of statistical techniques Discussing numerous examples dealing with the analysis of observed data and with the evaluation of model results作者: 新奇 時(shí)間: 2025-3-23 01:08
http://image.papertrans.cn/a/image/156341.jpg作者: Onerous 時(shí)間: 2025-3-23 03:03 作者: 法官 時(shí)間: 2025-3-23 09:18
Arbeitsweisen des Datenjournalismusfluctuations can be understood as the response of the slow climate variables to stochastic forcing by the fast atmospheric fluxes (Hasselmann, 1976). The stochastic climate model explains the statistical properties of mid-latitude sea surface temperature anomalies on time scales of up to a few years作者: Fecal-Impaction 時(shí)間: 2025-3-23 12:34
Arbeitsweisen des digitalen Storytellingstal records. This review examines in detail the reliability of temperature, precipitation and sea-level pressure data, concentrating on the construction of hemispheric and global average temperature series. The key piece of observational evidence in the “global warming debate” is the “global” temper作者: 演繹 時(shí)間: 2025-3-23 16:43 作者: 熄滅 時(shí)間: 2025-3-23 18:10
Digitaler Journalismus in der Praxisundary. This chapter is oriented towards analysing the impact of the ocean on the atmosphere. The timescales analysed are from the seasonal to the multidecadal. Statistical analysis is playing an important role in advancing our knowledge of air-sea interaction and its influence on worldwide climate 作者: 舊式步槍 時(shí)間: 2025-3-23 22:32 作者: HUSH 時(shí)間: 2025-3-24 05:13 作者: 瑣事 時(shí)間: 2025-3-24 08:02
Digitaler Strukturwandel der ?ffentlichkeitcs. A commonly occurring situation is the test of a hypothesis for the difference in means of two fields of data, e.g. the average wintertime temperature anomaly pattern over a net of European stations in each of two sets of GCM simulations. Regardless of whether the problem is approached with the m作者: Airtight 時(shí)間: 2025-3-24 11:04
Mark Eisenegger,Marlis Prinzing,Roger Blumt not sufficient, conditions for the usefulness of such forecasts is that they have real skill in discriminating one forecast situation from another and that this skill is known in advance by the user. Two “no-skill” forecast schemes would be random forecasts or constant (e.g. fixed climatology) for作者: GRE 時(shí)間: 2025-3-24 17:25
Methodologie und methodisches Vorgehen,s . where . might be, for instance, the total annual (or monthly) precipitation occurring at a given station, or the maximum annual precipitation occurring in a 24 hour period. Probabilistic models are useful for assessing risk, which, in its simplest form, is the probability of an undesirable outco作者: 勾引 時(shí)間: 2025-3-24 23:02 作者: expansive 時(shí)間: 2025-3-24 23:28
Digitaler Wandel – lean & systematischvisable to split the full phase space into two subspaces. The “signal” space is spanned by few characteristic patterns and is supposed to represent the dynamics of the considered process. The “noise subspace”, on the other hand, is high-dimensional and contains all processes which are purportedly ir作者: 召集 時(shí)間: 2025-3-25 06:27 作者: 漂浮 時(shí)間: 2025-3-25 07:40
Digitales BGM für die Arbeitswelt 4.0ted probability distribution are called a stochastic process. This mathematical construct can be applied to time series of climate variables. Strictly speaking, a climate variable is generated by deterministic processes. However since a myriad of processes contribute to the behavior of a climate var作者: 結(jié)果 時(shí)間: 2025-3-25 13:17
Arten des digitalen StorytellingsThe history of misuses of statistics is as long as the history of statistics itself. The following is a personal assessment about such misuses in our field, climate research. Some people might find my subjective essay of the matter unfair and not balanced. This might be so, but an effective drug sometimes tastes bitter.作者: 以煙熏消毒 時(shí)間: 2025-3-25 19:52 作者: Rankle 時(shí)間: 2025-3-25 22:22
https://doi.org/10.1007/978-3-662-03744-7Climate Variability; Climate model; Climatology; Global climate model; Klimatologie; Precipitation; Statis作者: 為現(xiàn)場(chǎng) 時(shí)間: 2025-3-26 02:21 作者: 生氣的邊緣 時(shí)間: 2025-3-26 06:02 作者: 血友病 時(shí)間: 2025-3-26 10:46
Climate Spectra and Stochastic Climate Modelsfluctuations can be understood as the response of the slow climate variables to stochastic forcing by the fast atmospheric fluxes (Hasselmann, 1976). The stochastic climate model explains the statistical properties of mid-latitude sea surface temperature anomalies on time scales of up to a few years作者: 迫擊炮 時(shí)間: 2025-3-26 15:48 作者: 針葉類的樹 時(shí)間: 2025-3-26 18:08
Interpreting High-Resolution Proxy Climate Data — The Example of Dendroclimatology human activities, should serve to reinforce our determination to understand similar details of the “natural” (i.e. non-anthropogenic) variability of climate. Reconstructing past climates on all timescales is clearly important if we hope to understand the mechanisms that control climate (Bradley, 19作者: G-spot 時(shí)間: 2025-3-26 21:51 作者: Bone-Scan 時(shí)間: 2025-3-27 01:12 作者: 輕快帶來危險(xiǎn) 時(shí)間: 2025-3-27 07:24
Statistical Analysis of GCM Outputy its response to anomalous boundary conditions or its sensitivity to changes in model formulation, and to determine its predictive skill. The first two problems are discussed in this Chapter 8 and in the next Chapter 9, while the evaluation of forecasts is discussed in Chapter 10.作者: crumble 時(shí)間: 2025-3-27 09:32 作者: Isometric 時(shí)間: 2025-3-27 16:14 作者: Buttress 時(shí)間: 2025-3-27 20:04 作者: 典型 時(shí)間: 2025-3-27 23:46
Teleconnection Patternsat their limited data set could generate. Modern times do not require such enormous efforts, but the two papers by Mike Wallace in collaboration with D. Gutzler and J. Horel (Wallace and Gutzler, 1981; Horel and Wallace, 1981) realized a significant breakthrough.作者: 財(cái)主 時(shí)間: 2025-3-28 03:44 作者: Introduction 時(shí)間: 2025-3-28 09:54
Patterns in Time: SSA and MSSA also the ., contains values measured or estimated at a given time, that is, the coordinates of . represent different locations in space at the same time. By diagonalising the covariance matrix of ., one tries therefore to capture the dominant spatial patterns. The SSA expansion (Vautard et al., 199作者: 間諜活動(dòng) 時(shí)間: 2025-3-28 12:04 作者: 猛然一拉 時(shí)間: 2025-3-28 15:51 作者: labyrinth 時(shí)間: 2025-3-28 21:32
Digitaler Strukturwandel der ?ffentlichkeitultivariate methods described in Chapter 8 or as a collection of individual or . significance tests, the collective or . significance of the results depends crucially on the number of data points or tests and their interdependence.作者: Tractable 時(shí)間: 2025-3-29 01:12 作者: 是突襲 時(shí)間: 2025-3-29 04:36
uation of model resultsThis volume has grown from an Autumn School about "Analysis of Climat~ Variability - Applications of Statistical techniques" on Elba in November 1993. We have included those lectures which referred explicitly to appli- cations of statistical techniques in climate science, sinc作者: 伙伴 時(shí)間: 2025-3-29 10:56 作者: Kernel 時(shí)間: 2025-3-29 15:04
Digitaler Journalismus in der Praxistidecadal. Statistical analysis is playing an important role in advancing our knowledge of air-sea interaction and its influence on worldwide climate variability. So this chapter is particularly well-suited for illustrating an application of statistics in climatology.作者: 母豬 時(shí)間: 2025-3-29 17:22 作者: mortuary 時(shí)間: 2025-3-29 21:40
Digitaler Wandel – lean & systematische dynamics of the considered process. The “noise subspace”, on the other hand, is high-dimensional and contains all processes which are purportedly irrelevant in their details for the “signal subspace”.作者: 忘恩負(fù)義的人 時(shí)間: 2025-3-30 01:33 作者: crescendo 時(shí)間: 2025-3-30 04:35 作者: Substance-Abuse 時(shí)間: 2025-3-30 11:47
Analysing the Boreal Summer Relationship Between Worldwide Sea-Surface Temperature and Atmospheric Vtidecadal. Statistical analysis is playing an important role in advancing our knowledge of air-sea interaction and its influence on worldwide climate variability. So this chapter is particularly well-suited for illustrating an application of statistics in climatology.作者: fleeting 時(shí)間: 2025-3-30 13:27 作者: 不規(guī)則的跳動(dòng) 時(shí)間: 2025-3-30 19:43 作者: depreciate 時(shí)間: 2025-3-30 21:27
Multivariate Statistical Modeling: POP-Model as a First Order Approximation speaking, a climate variable is generated by deterministic processes. However since a myriad of processes contribute to the behavior of a climate variable, a climate time series behaves like one generated by a stochastic process. More detailed discussion of this problem is given by H. von Storch and Zwiers (1999).作者: 駕駛 時(shí)間: 2025-3-31 01:20 作者: 牌帶來 時(shí)間: 2025-3-31 07:55
Arbeitsweisen des Datenjournalismusistics of the atmospheric variables, the concept of the stochastic climate model is introduced in this chapter. Its application to climate variations is then illustrated in the context of the midlatitude sea surface temperature anomalies. The other applications are then briefly discussed.作者: 衰弱的心 時(shí)間: 2025-3-31 09:29 作者: 民間傳說 時(shí)間: 2025-3-31 15:32
Arbeitsweisen im Onlinejournalismusouse signal?”, natural records of past climate variability (so-called “proxy” climate data) that are annually resolved and that capture decadal-to-century timescale variability, represent an essential basis for comparison with relatively short modern climate records which are rarely longer than a hundred years.作者: 良心 時(shí)間: 2025-3-31 19:27
Methodologie und methodisches Vorgehen,dge of what engineers term a probability intensity duration relationship. A probability intensity duration relationship is simply the family of probability distributions of the annual maximum precipitation for duration . where . might take on, for example, values of 1, 2, 3, 6, 12, and 24 hours.作者: GEN 時(shí)間: 2025-3-31 23:22
Climate Spectra and Stochastic Climate Modelsistics of the atmospheric variables, the concept of the stochastic climate model is introduced in this chapter. Its application to climate variations is then illustrated in the context of the midlatitude sea surface temperature anomalies. The other applications are then briefly discussed.
