Statistical and Dynamical Downscaling
Evaluation and projection of daily temperature percentiles from statistical and dynamical downscaling methods
... The downscaling methods are first evaluated in present cli- mate conditions, using reanalysis-driven simulations in the period ...both statistical and dynamical downscaling values, considering ...
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Comparison of statistical and dynamical downscaling methods for seasonal-scale winter precipitation predictions over north India
... the statistical and dynamical downscaling approaches (forecast mode) has been made in predicting wintertime (DJF) precipitation over the NI ...For dynamical downscaling, high-resolution ...
43
Dynamical and statistical downscaling of the French Mediterranean climate: uncertainty assessment
... 2011). Statistical downscaling may be used whenever suitable small-scale observed data are avail- able to derive the statistical ...relationships. Dynamical down- scaling consists in driving a ...
16
A classification algorithm for selective dynamical downscaling of precipitation extremes
... Hydrological modellers and regional decision-makers bene- fit greatly from high spatial O (1 km) and temporal resolution climate data to both drive their catchment-scale hydrological models and design regional planning ...
18
A classification algorithm for selective dynamical downscaling of precipitation extremes
... sparse. Dynamical down- scaling with regional climate models (RCMs), O(10 km), provides an alternative to the statistical approach, which is, however, computationally far more ...then downscaling ...
18
Statistical and Dynamic Downscaling of Hurricanes Affecting the Southeast US Coast.
... the downscaling of hurricanes through hindcasting is consequently vital to improve hurricane ...forecasting. Dynamical downscaling of hurricanes allows more realistic intensities to ...The ...
163
Statistical downscaling of precipitation projections in Southeast Queensland Catchments
... 34 Dynamical and Statistical techniques are the two primary methods used for downscaling data from coarse resolution ...models. Dynamical downscaling involves nesting a high resolution ...
159
Online dynamical downscaling of temperature and precipitation within the iLOVECLIM model (version 1.1)
... such downscaling approaches ranges from simple bi-linear inter- polations ...temperature downscaling, Charbit et ...Although statistical downscaling has been applied to EMIC outputs (Vrac et ...
14
Impact of Grid Nudging Parameters on Dynamical Downscaling during Summer over Chinese Mainland
... resolution, downscaling is usually conducted. Popular downscaling methods include statistical downscaling and dynamical downscaling ...on statistical relationships between ...
23
Sensitivity analysis of runoff modeling to statistical downscaling models in the western Mediterranean
... to dynamical downscaling techniques, statistical downscaling models (SDMs) are also used in antic- ipated hydrologic impact studies under climate change sce- narios (for a review, see, ...
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Benefits from using combined dynamical statistical downscaling approaches – lessons from a case study in the Mediterranean region
... The dynamical downscaling of the ECHAM5/MPI-OM global scenarios considered in the present study was previ- ously evaluated in Dell’Aquila et ...The dynamical downscaling tends to amplify the ...
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Coupling dynamical and statistical downscaling for high-resolution rainfall forecasting: case study of the Red River Delta, Vietnam
... of dynamical down- scaling has significantly improved owing to the continu- ous development of computing technology and advances in numerical ...of dynamical downscaling has become easier, it ...
18
Decomposition of the large-scale atmospheric state driving downscaling: a perspective on dynamical downscaling for regional climate study
... The statistical characteristics of the climatology and per- turbation are not independent of each other, since they are determined through their interactions with one ...the statistical characteristics ...
13
Inter comparison of statistical downscaling methods for projection of extreme precipitation in Europe
... In order to account for the uncertainties in climate change impact studies and due to the lack of consensus on the best climate model and SDM, a number of studies consider mul- tiple climate models and SDMs. For example ...
21
Projections of future extreme rainfall events using statistical downscaling in Malaysia
... earlier, downscaling is used to match the scale between the GCM and the station scale since the GCM scale is much coarser compared to station ...of downscaling known as dynamical and ...
50
Chaotic Statistical Downscaling (CSD): Application and Comparison in the Bogotá River Basin
... new statistical downscaling method called Chaotic Statistical Downscaling ...other statistical downscaling models for the Bogota River basin using different measures of error ...
9
Climate change assessment for Mediterranean agricultural areas by statistical downscaling
... In this study we compare the performance of Canonical Cor- relation Analysis (CCA) applied in two variants, after per- forming Principal Component Analysis (PCA) filtering on predictor and on both predictor and ...
15
AtmoSwing: Analog Technique Model for Statistical Weather forecastING and downscalING (v2.1.0)
... a statistical distribution based on the observed predictand values from the selected analogs un- less only the single best analog is considered, which usually results in a lower skill (Bontron and Obled, ...
26
Quantile Regression in Statistical Downscaling to Estimate Extreme Monthly Rainfall
... Statistical downscaling is a technique using the model to forecast monthly rainfall [2]. This technique develops functional relationship between GCM (Global Circulation Model) output as global scale data ...
5
The dynamical core of the Aeolus 1.0 statistical–dynamical atmosphere model: validation and parameter optimization
... 1.0 dynamical core with the derivation of these equa- tions presented in the Supplement ...Aeolus’ dynamical fields with pre-optimized and optimized parameters and compare them with observations and output ...
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