In today’s highIy competitive and constantly growing market for software products, planning and scheduling of large software projects has become a bottleneck to increasing production productivity [1331. This work is to investigate the mechanisms required to support software project planning and scheduling (SPPS). Our approach is to 1. define SPPS as a reactive pmcess that involvw human negotiat...

Validation of precipitation estimates from various products is a challenging problem, since the true precipitation is unknown. However, with the increased availability of precipitation estimates from a wide range of instruments (satellite, ground-based radar, and gauge), it is now possible to apply the triple collocation (TC) technique to characterize the uncertainties in each of the products. ...

GRANT W. PETTY Earth and Atmospheric Sciences Department, 1397 CTVL Bldg, Purdue University, West Lafayette, Indiana 47907-1397, USA W1TOLD F. KRAJEWSKI Department of Civil and Environmental Engineering, The University of Iowa, Iowa City, Iowa 52242-1585, USA Abstract The availability of satellite-derived rainfall products to hydrologists and other natural scientists has increased enormously in...

Clouds play an important role in regulating atmospheric dynamics and thermodynamics by redistributing momentum, thermal and moisture through mixing, latent heat release, and microphysical processes. However, conventional observational data for such important parameters are usually not available. An operational cloud verification system is being developed at the Joint Center for Satellite Data A...

Hourly Satellite Precipitation Estimates (SPEs) may be the only available source of information for operational hydrologic and flash flood prediction due to spatial limitations of radar and gauge products. SPEs are prone to larger systematic errors and more uncertainty sources in comparison with ground based radar and gauge precipitation products. The present work develops an approach to seamle...

This paper presents a new and enhanced fusion module for the Multi-Sensor Precipitation Estimator (MPE) that would objectively blend real-time satellite quantitative precipitation estimates (SQPE) with radar and gauge estimates. This module consists of a preprocessor that mitigates systematic bias in SQPE, and a two-way blending routine that statistically fuses adjusted SQPE with radar estimate...

Reliable drought monitoring requires long-term and continuous precipitation data. High resolution satellite measurements provide valuable precipitation information on a quasi-global scale. However, their short lengths of records limit their applications in drought monitoring. In addition to this limitation, long-term low resolution satellite-based gauge-adjusted data sets such as the Global Pre...

Spatial rainfall is a key input to Distributed Hydrological Models, which is the most important limitation for the accuracy of hydrological models. Model performance and uncertainty could increase when rain gauge is sparse. Satellite-based precipitation products would be an alternative to ground-based rainfall estimates in present and 5 the foreseeable future, however, it is necessary to evalua...