Rainfall Data
Comparison of rainfall analysis of JAXA satellite rainfall data on stations data in Jambi
... good rainfall data is a major factor in analyzing various phenomena related to ...The rainfall data generated from the station is very accurate and ...incomplete data due to human error ...
6
On the uncertainties associated with using gridded rainfall data as a proxy for observed
... Gridded rainfall datasets are used in many hy- drological and climatological studies, in Australia and else- where, including for hydroclimatic forecasting, climate attri- bution studies and climate model ...
19
Rainfall Variability, Drought Characterization, and Efficacy of Rainfall Data Reconstruction: Case of Eastern Kenya
... seasonal rainfall variability, drought occurrence, and the efficacy of interpolation techniques in eastern ...of rainfall variability utilized rainfall anomaly index, coefficients of variance, and ...
17
Rainfall erosivity estimation based on rainfall data collected over a range of temporal resolutions
... a rainfall event (usually taken as 1 min for computational purposes, with average-intensity represen- tative of the time ...of rainfall data available across the world does not always allow for a ...
14
Introducing the Mixed Distribution in Fitting Rainfall Data
... considered rainfall amount on wet days, which does not following the nature of rainfall where there are days that do not rain at ...the rainfall data for dry days and wet days have not yet ...
12
Rainfall intensity bursts and the erosion of soils: an analysis highlighting the need for high temporal resolution rainfall data for research under current and future climates
... extreme rainfall intensities is the use of downscaling from daily maxima to sub-daily values, though this is normally only extended to the prediction of hourly ...Sub-hourly rainfall data are ...
16
Probability Distribution of Philippine Daily Rainfall Data
... Philippine rainfall pattern has been previously done, but there is no study investigating its probability distribu- ...Philippine rainfall using probability distributions is essential, especially in ...
15
Influence of rainfall data on the uncertainty of flood simulation
... the rainfall data quality on the uncertainty of flood simulation using the NRCS-UH ...meteorological data are available, which undoubtedly makes the practical application of hydrological models ...
8
Weather radar rainfall data in urban hydrology
... radar rainfall data has been proposed by Smith and Krajewski (1991), who introduced the concept of mean field bias (MFB) adjust- ...lated rainfall in a number of ground observation points (rain ...
22
SELECTION OF BEST METHOD AMONG DIFFERENT METHODS FOR DETERMINING MISSING RAINFALL DATA: CRITICAL REVIEW
... of rainfall data from different rain gauge stations and determine the missing rainfall ...monthly rainfall data from rain gauge stations of 11 years ...analyzing rainfall ...
6
A study on the characteristics of rainfall data and its parameter estimates
... modeling rainfall occurrence and amount simultaneously when the index parameter estimate for the rainfall data analyzed fell between (1,2) with a 95 percent confidence ...
28
Analysis of Rainfall Data of Silchar, Assam
... Monthly rainfall data was collected for 22 years from ...daily rainfall data was also collected for 10 years from 1998- ...the data, annual and monthly pattern and magnitude of ...
15
Smoothing wind and rainfall data through functional data analysis technique
... the rainfall distribution. A strong wind is expected to bring heavy rainfall at the ...the rainfall and wind data in the form of smoothing curves since wind and rainfall data are ...
8
1 The Daily and Hourly Rainfall Data Modeling using
... Vector Autoregressive (VAR) model is one of multivariate time series models which has dinamic 82. interrelationship among variabels.[r] ...
13
MODELING AND PREDICTION OF RAINFALL DATA USING DATA MINING
... Gujarat rainfall is analyzed with stepwise regression ...i.e. rainfall as a function of the predictor variables such as SST, SLP, U-wind, U-wind stress, V-wind and V-wind ...
6
Rainfall data analysis and storm prediction system
... • The support vector machine is used as a data mining technique to extract informative hydrologic • Various percentages from 50% to 10% of hydrologic data, including those for flood stag[r] ...
29
An Impact of Rain fall in Ground Water Level Fluctuation and Prediction of Rainfall at Kanchipuram District, Tamil Nadu, India
... of rainfall and water fluctuation in the Kanchipuram district, Tamil Nadu, ...of Rainfall Variability and Rainfall Ratio was used monthly, yearly rainfall data for last 17 years and ...
8
Estimating Rainfall Infiltration for Groundwater Recharge Using Infiltration Index Method: A Case Study in Rajshahi District, Bangladesh
... the rainfall infiltration for groundwater recharge which are the pre-condition to meet the large demand of irrigation supplies that are the key to economic ...growth. Rainfall data was collected from ...
5
Analytical Study of Rainfall Probability at Bhubaneswar
... normal rainfall in different years. Thus, the random nature of rainfall distribution needs a sound statistical time series analysis and its logical interpretation because of its variations with respect to ...
5
Including spatial distribution in a data driven rainfall runoff model to improve reservoir inflow forecasting in Taiwan
... a data-driven rainfall-runoff model enhances its predictive performance by better capturing the spatial and temporal heterogeneity of typhoon rainfall ...semi-distributed data-driven modelling ...
46