[PDF] Top 20 Stochastic rainfall interpolation and downscaling
Has 10000 "Stochastic rainfall interpolation and downscaling" found on our website. Below are the top 20 most common "Stochastic rainfall interpolation and downscaling".
Stochastic rainfall interpolation and downscaling
... point rainfall” after accounting for a number of possible errors (see ...areal rainfall estimates have been obtained traditionally through some suitable interpolation method and aggregation ...that ... See full document
5
Cokriging for enhanced spatial interpolation of rainfall in two Australian catchments
... Several interpolation methods have been frequently employed to interpolate rainfall data from rain ‐ gauge stations and produce the spatial distribution of rainfall over a ...surface ... See full document
19
Projections of future extreme rainfall events using statistical downscaling in Malaysia
... of rainfall patterns as well as temperature changes in future might be useful inputs to policy makers to initiate the mitigation and adaptation strategies in order to adapt with the future uncertain climate ... See full document
50
Spatial random downscaling of rainfall signals in Andean heterogeneous terrain
... After downscaling, the heterogeneity is introduced back into the downscaled rainfall ...however, downscaling is performed beyond the largest resolution of TRMM (to reach a subkilometer ... See full document
20
Statistical atmospheric downscaling for rainfall estimation in Kyushu Island, Japan
... atmospheric downscaling approaches made to date, two principally different groups may be distinguished ...which stochastic downscaling of future circulation patterns is performed ... See full document
13
Downscaling summer rainfall in the UK from North Atlantic ocean temperatures
... statistical rainfall models may be enhanced using mixtures of stochastic ...regional rainfall and temperature, SSTs have also been used for seasonal weather ... See full document
13
Rainfall downscaling and flood forecasting: a case study in the Mediterranean area
... new downscaling procedure is ...RainFARM, Rainfall Filtered AutoRegressive Model, and it was proposed by Rebora et ...satellite-based rainfall measurement validation and for stochastic ... See full document
9
Research On Stochastic Forecasting Discharge Level Time Series Data Using Extended Linear Group And Extended Semi-Group Approach
... The stochastic forecasting and prediction Models are used to generate downscaling data sets on specified water gauging ...generated downscaling data gave results on analysis of hydrological evidence ... See full document
5
Improving accuracy of downscaling rainfall by combining predictions of different statistical downscale models
... in downscaling of the daily and annual rainfall in ...three downscaling methods (multiple linear regressions, multiple non-linear regression, and stochastic weather generator) were ... See full document
15
BUASCSDSEC — Uncertainty Assessment of Coupled Classification and Statistical Downscaling Using Gaussian Process Error Coupling
... statistical downscaling models which are used as a bridging model to connect the global climate model output and the local weather variables have uncertainty associated with ...model(s), downscaling model, ... See full document
6
Stochastic downscaling of precipitation in complex orography: a simple method to reproduce a realistic fine-scale climatology
... to rainfall down- scaling models over land has been investigated, among oth- ers, by Harris et ...orographic rainfall us- ing a high-temporal-resolution rain gauge network in Sar- dinia, Italy, and ... See full document
16
Meteorological uncertainty and rainfall downscaling
... Every meteorological forecast is invariably affected by un- certainity: Measurement error and finite resolution in the initial conditions, incomplete representation of the physics of the problem and finite numerical ... See full document
7
Spatial Distribution of Rainfall and Reference Evapotranspiration in Southeast Nigeria
... many interpolation methods available for use in ArcGIS but, IDW and kriging were chosen because they are widely used for spatially explicit hydrologic/ watershed models that require continuous data surfaces like ... See full document
8
Mapping rainfall hazard based on rain gauge data: an objective cross validation framework for model selection
... of rainfall and the mean ...of rainfall along the Massif Central slope, while a clear decrease in the mean rainfall is found when passing the Mas- sif Central ridge both towards the Massif Central ... See full document
21
An integrated simulation method for flash flood risk assessment: 1 Frequency predictions in the Bisagno River by combining stochastic and deterministic methods
... their stochastic rainfall model and obtained good results in reproducing rainfall extremes for different ...of rainfall extremes available in the Hydrology Yearbook published by the Italian ... See full document
18
A combined statistical bias correction and stochastic downscaling method for precipitation
... statistical) downscaling of precipitation is only applicable if the large-scale patterns and changes therein are simulated reasonably by the driving GCM (Eden et ... See full document
27
What if the 25 October 2011 event that struck Cinque Terre (Liguria) had happened in Genoa, Italy? Flooding scenarios, hazard mapping and damage estimation
... The rainfall field was used as input to a flood forecast framework made by a downscaling model and a hydrological model in order to account for uncertainties related to the spa- tial and[r] ... See full document
17
Online Full Text
... Katrin Maak et al. [6] discussed statistical downscaling with canonical correlation analysis to validate the flowering date of Galanthus nivalis L. at 74 stations in Northern Germany. Observation period was in ... See full document
6
Application of Principal Component Regression with Dummy Variable in Statistical Downscaling to Forecast Rainfall
... Statistical downscaling (SD) analyzes relationship between local-scale response and global-scale ...forecast rainfall (local-scale) using global-scale precipita- tion from global circulation model output ... See full document
10
Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques
... 2010) downscaling to provide precise insights compared to the original global model ...Dynamical downscaling over the island nation of Sri Lanka ...in rainfall extremes trends, the results from ... See full document
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