Improved input to distributed hydrologic model in areas with sparse subdaily rainfall data using multivariate daily rainfall disaggregation
نویسندگان
چکیده
منابع مشابه
Spatial disaggregation of rainfall data
Use of output from global Circulation Models (GCMs) by regional or small scale rainfall-runoff models necessitates the disaggregation of the hydrological information available from GCMs to smaller scales. The hydrological processes of interest commonly occur at much smaller scales than those being modelled by GCMs. The present work examines the disaggregation of areally averaged monthly rainfal...
متن کاملGenerating synthetic rainfall using a disaggregation model
Synthetic rainfall data has a large number of uses. Specifically, the behaviour of a reservoir under most scenarios can be best understood when evaluated using a large number of synthetic inputs. These synthetic values are all equally probable to occur but many of them may not have appeared in the historical record. Stochastic weather generators produce these synthetic data that were statistica...
متن کاملTemporal Disaggregation of Rainfall Data Using Artificial Neural Networks
Seasonal rainfall in many regions is influenced by global climatic parameters such as El Nino Southern Oscillation (ENSO), La Nina. Seasonal rainfall predictions are based on such Global climatic parameters. However, for operational purposes, such as reservoir operation or river basin management in a larger context, rainfall data at a finer time interval are required. In this paper, a temporal ...
متن کاملAnalysis of extreme daily rainfall in southeast Asia with a gridded daily rainfall data set
The objective of this study is to estimate the daily extreme precipitation distribution in an Asian monsoon region considering orographic precipitation in mountainous areas. For this purpose, the APHRODITE data set and precipitation observations from 150 raingauges throughout Thailand were used as the main input. First, a bias-correction for underestimated precipitation in the APHRODITE data se...
متن کاملMultivariate linear parametric models applied to daily rainfall time series
The aim of this paper is to test the Multivariate Linear Parametric Models applied to daily rainfall series. These simple models allow to generate synthetic series preserving both the time correlation (autocorrelation) and the space correlation (crosscorrelation). To have synthetic daily series, in such a way realistic and usable, it is necessary the application of a corrective procedure, remov...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Hydroinformatics
سال: 2018
ISSN: 1464-7141,1465-1734
DOI: 10.2166/hydro.2018.053