Statistical Downscaling
Present and LGM permafrost from climate simulations: contribution of statistical downscaling
... Additive Models (GAMs) to produce high-resolution climatology of surface air tempera- ture (SAT). Then, we define permafrost distribution over Eurasia by SAT conditions. In a first validation step on present climate ...
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Climate change assessment for Mediterranean agricultural areas by statistical downscaling
... developed statistical downscaling tech- niques for climatic predictions in order to provide scenar- ios for selected small regions or complement the results of dynamical ...models. Statistical ...
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Statistical downscaling of air temperature in the Douro Valley for agronomic applications
... gradients. Downscaling techniques allow to obtain regional information, overcoming the problem of misrepresentation of small-scale features of the most widely used models for climate ...of statistical ...
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Solar energy potential in a changing climate : Iberia and Azores assessment combining dynamical and statistical downscaling methods
... this, statistical approaches are used to post-process the results of the dynamical ...for downscaling from the grid-cell scale to a given location (Wilks, ...The statistical methods typically involve ...
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Present and LGM permafrost from climate simulations: contribution of statistical downscaling
... the statistical downscaling methods (SDMs) are less resource-intensive and represent an alternative to quickly obtain high-resolution fields from several different climate ...using statistical re- ...
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Sensitivity analysis of runoff modeling to statistical downscaling models in the western Mediterranean
... dynamical downscaling tech- niques, statistical downscaling models (SDMs) are also used in anticipated hydrologic impact studies under climate change scenarios (for a review, see ...determining ...
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The Greenland ice sheet: modelling the surface mass balance from GCM output with a new statistical downscaling technique
... at relatively coarse resolution (typically 100 km for CMIP5 models). Hence the steep slopes and complex orography at the GrIS margins are not resolved. This results in an inaccurate representation of the sharp SMB ...
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Climate projections and downscaling techniques: a discussion for impact studies in urban systems
... Future climate projections data are commonly provided in NetCDF (Network Common Data Form) format. This is a set of interfaces, libraries, self-describing, machine-independent and array-oriented data formats supporting ...
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Downscaling statistical model techniques for climate change analysis applied to the Amazon Region
... in downscaling of the temporal neural network was compared to that of an autocorrelation statistical downscaling model with emphasis on its ability to reproduce the observed climate variability and ...
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Downscaling climate change scenarios for apple pest and disease modeling in Switzerland
... a statistical or dynamical downscaling needs to be applied ...cal downscaling is demanding in terms of computational re- sources, a statistical downscaling can be achieved with rela- ...
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Bimodal Birnbaum-Saunders statistical modeling
... In Chapter 2 we discussed some numerical difficulties that might arise when performing maximum likelihood estimation on the parameters of a bimodal Birnbaum- Saunders distribution and ho[r] ...
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Regional climate models downscaling in the Alpine area with Multimodel SuperEnsemble
... The Probabilistic Multimodel SuperEnsemble Dressing technique was applied to the precipitation fields using the period 1961–1980 as training dataset to calculate weights and to obtain da[r] ...
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Runup parameterization and beach vulnerability assessment on a barrier island: a downscaling approach
... ditions for the study of nearshore processes is possible through data reduction using a rigorous statistic approach (Camus et al., 2011a; Guanche et al., 2013). Camus et al. (2011a) employed a hybrid downscaling ...
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Sampling, measurements and statistical analyses
... copy (SEM), samples were attached to aluminum stubs using double carbon sticky tape and sputtered with 20 nm gold (SCD 050, BAL-TEC, Germany) and observed using a ZEISS DSM 962 (Germany) scanning electron microscope. ...
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NATIONAL STATISTICAL SEMINAR „OCTAV ONICESCU”
... The volume „Romania 2012 – Economical situation in perpetual crisis” analyzes evolution of the economical situation of Romania during until June 2012, that has depreciated on the backg[r] ...
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A Concise Course in Statistical Inference
... The most important aspect of probability theory concerns the behavior of sequences of random variables. This part of probability is called large sample theory or limit theory or asymptotic theory. This material is ...
538
Statistical analyses in language usage
... procure statistical information on the usage of phones, diphone, triphones, syllables and words in a ...a statistical estimation on the frequency in which English phones ...
200
Robust statistical modeling of portfolios
... This paper is organized as follows. In Section I we propose a statistical model and a robust estimation procedure for a multivariate data. In Section II we apply the proposal to a real data set from emergent ...
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Sobre o sinal de um downscaling dinâmico às oscilações intrassazonais de precipitação no setor norte do Nordeste do Brasil.
... período menor do que 8 dias. Presumem-se que duas possíveis causas podem estar associadas a esta característica. A primeira é que o RSM tem menor variância nas intensidades diárias de precipitação do que a precipitação ...
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