Carney, Matthew C., authorBabić, Marijan, authorMesghinna, Woldezion, authorColorado State University, publisher2020-02-052020-02-052008https://hdl.handle.net/10217/200704http://dx.doi.org/10.25675/10217/2007042008 annual AGU hydrology days was held at Colorado State University on March 26 - March 28, 2008.Includes bibliographical references.This paper discusses the importance of accounting for spatial correlation in stochastically generated precipitation records used in water supply modeling studies. By means of a case study, it is shown that the failure to reproduce the spatial correlations among stochastic precipitation records in a large watershed leads to an under-estimation of the variance of basin-wide precipitation volumes and consequently an over-estimation of water supply reliability. This in turn can lead to under-estimation of the active storage requirements for proposed reservoirs and, ultimately, water supply infrastructure that fails to deliver the design water demands at the expected reliability level. A proposed improvement to one commonly used stochastic weather generator is presented and tested on a case study in Eritrea, East Africa. The results obtained using the modified stochastic model are presented and discussed.born digitalproceedings (reports)engCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.Text