Sensitivity Analysis using Effective Rainfall Data
Data conditioning and climate sensitivity analysis of a probablistic rainfall-runoff model
... heavy rainfall and ...The rainfall in from April to July count for 54% of total precipitation, and more than 90% of the heavy precipitation processes concentrated in this period, which leads to the increase ...
230
Spatial sensitivity analysis of snow cover data in a distributed rainfall runoff model
... input data used to con- duct the spatial sensitivity ...spatial data set that is frequently tested and easy to obtain is snow ...spatial sensitivity of model output to snow cover, despite its ...
18
Sensitivity of hydrological models to temporal and spatial resolutions of rainfall data
... Abstract. Rainfall is the most important input for rainfall– runoff ...of rainfall can lead to improved model ...daily rainfall datasets with a spatial resolution of 1 km × 1 km for the state ...
17
Sensitivity analysis of the effective centrifugal pump parameters using the EFAST method
... © 2019 Sharif University of Technology. All rights reserved. 1. Introduction Centrifugal pumps are a group of turbo machines used industrially in large scales. In recent years, several researchers have investigated ...
7
Youtube Data Sensitivity and Analysis using Hadoop Framework
... distributed, data intensive computing. The framework breaks up large data into smaller parallelizable chunks and handles scheduling ▫ Maps each piece to an intermediate value ▫ Reduces intermediate values ...
7
Comparison of rainfall analysis of JAXA satellite rainfall data on stations data in Jambi
... type rainfall data is selected which has a spatial resolution of ...the rainfall data in accordance with the station to be investigated, coordinate adjustments are made and to get data ...
6
Examination of rainfall data for 110 years using spectral and wavelet analysis
... of rainfall events is also possible until 2030 with the proposed ...by using this method, several uncertainties of rainfall events can be reduced and thus the method can be applied to any region or ...
15
Determinants of Sanctions Effectiveness: Sensitivity Analysis Using New Data
... the data set used in the previous research and model dependency of these ...by using the newly released Threat and Imposition of Economic Sanctions data and by employing a methodology that permits us ...
25
MODELING AND PREDICTION OF RAINFALL DATA USING DATA MINING
... This analysis shows that, Sea Surface Temperature of North Pacific Ocean, Sea Level Pressure of Atlantic Ocean, U-windstress and V-windstress of Atlantic Ocean affect Gujarat ...years data (1960 – 1999) ...
6
Sensitivity analysis of Takagi Sugeno Kang rainfall runoff fuzzy models
... the sensitivity of the parameters of the Takagi-Sugeno-Kang (Takagi and Sugeno, 1985; Sugeno and Kang, 1988) rainfall-runoff fuzzy mod- els previously developed by Jacquin and Shamseldin ...local ...
15
Extreme rainfall regime characterization in Sardinia using daily rainfall data
... In Figure 7.47, the spatial distribution of the metric ME(5) is reported for some approaches described in the previous paragraphs: a)local GEV; b)regional GEV (hypothesis F of partition in 4 homogeneous regions); c)GEV ...
249
Sensitivity analysis of the effective nanofluid parameters flowing in flat tubes using the EFAST method
... So, by considering the results that indicate the effect of this parameter on the pressure drop, the proper values for this parameter can be selected. Also, in the group of sensitive parameters, the tube flattening ...
8
Sensitivity of the performance of a conceptual rainfall-runoff model to the temporal sampling of calibration data
... calibration data on the performance of a hydrological model is examined through a numerical experiment where HYMOD, a rainfall –runoff model, is calibrated with data of varying temporal ...frequency ...
11
Opening Black Box Data Mining Models Using Sensitivity Analysis
... commonplace. Data Mining (DM) enables the extraction of knowledge from such databases to the domain user or decision maker ...a data-driven model that learns an unknown underlying function that maps several ...
8
Rainfall Prediction using Data Mining Techniques
... parameters using statistical ...When using trainbr , it is important to let the algorithm run until the effective number of parameters has ...
5
The Analysis of Daily Rainfall Data for Agricultural Purposes
... When simple descriptions of the rainfall patterns, such as percentage points for the total rainfall amount during a specified period, are obtained using the modellinq approach, they [r] ...
19
Statistical analysis of wind and rainfall with functional data analysis technique
... and rainfall throughout Peninsular Malaysia varies from one region to another, depending on the direction of winds and rainfall that occur because of strong wind and the ...Our data consist of daily ...
20
Rainfall analysis using conventional and non-conventional rainfall information on monthly scale
... the rainfall featuring regional characteristics. IMD data is available and is proved to be very good over land ...gauge data. Due to the advent of various remote sensing data sources, it is ...
24
Rainfall analysis using conventional and non-conventional rainfall information on monthly scale
... Gauge data, satellite estimates, NWP model, merged analysis, CMAP, ...Introduction Rainfall is one of the most important and at the same time one of the most difficult meteorological/ hydrological ...
24
Quantifying monthly areal rainfall uncertainty using a data-based stochastic rainfall generator
... the rainfall depth, sampling frequency and domain ...gauge data to generate the best areal rainfall estimate and to simulate ensembles of random rainfall fields that represent the inherent ...
134