Merged rainfall fields for continuous simulation modelling (CSM)

6Citations
Citations of this article
30Readers
Mendeley users who have this article in their library.

Abstract

Long sequences of rainfall at fine spatial and temporal detail are increasingly required, not only for hydrological studies, but also to provide inputs for models of crop growth, landfills, tailings dams, liquid waste disposal on land and other environmentally sensitive projects. Rainfall information derived from rain gauges, radar or satellites may not individually be adequate to meet the detail required by hydrological models or other water resource studies. Therefore, a suitable technique is required to estimate rainfall at finer spatial and temporal resolutions. Different techniques have been developed to merge rainfall information from rain gauges, radar and satellites in order to obtain the 'best' estimate of the 'true' rainfall field. However, the length of the radar and satellite estimated rainfall records is currently limited. In this study, the mean areal merged rainfall, derived from rain gauges and radar, was estimated for 26 subcatchments in the Liebenbergsvlei catchment, which is a research catchment, in South Africa for the period when radar data were available. By using the relationships derived between the merged rainfall and rain-gauge data, improved subcatchment rainfall may be estimated using the historical data from rain gauges located in and around the subcatchments. In most of the subcatchments the relationship between the daily mean areal merged rainfall of the subcatchment and the daily rainfall data from rain gauges is strong (R2 >=0.5). The relationship between the daily rain gauges and mean areal merged rainfall of the subcatchments is used to adjust the historical rainfall data from the daily rain gauges in order to estimate long sequences of subcatchment rainfall for input to continuous simulation models (CSMs).

References Powered by Scopus

Radar measurement of rainfall - a summary.

447Citations
N/AReaders
Get full text

A statistical analysis of mesoscale rainfall as a random cascade

394Citations
N/AReaders
Get full text

Combining radar and rain gauge rainfall estimates using conditional merging

208Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Geospatial blending to improve spatial mapping of precipitation with high spatial resolution by merging satellite-based and ground-based data

54Citations
N/AReaders
Get full text

Methods for design flood estimation in South Africa

39Citations
N/AReaders
Get full text

A review of aspects of hydrological sciences research in Africa over the past decade

19Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Frezghi, M. S., & Smithers, J. C. (2008). Merged rainfall fields for continuous simulation modelling (CSM). Water SA. South African Water Research Commission. https://doi.org/10.4314/wsa.v34i5.180649

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 13

54%

Researcher 9

38%

Professor / Associate Prof. 1

4%

Lecturer / Post doc 1

4%

Readers' Discipline

Tooltip

Earth and Planetary Sciences 8

36%

Engineering 7

32%

Environmental Science 6

27%

Philosophy 1

5%

Save time finding and organizing research with Mendeley

Sign up for free