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Juan B. Valdés

Researcher at University of Arizona

Publications -  136
Citations -  5456

Juan B. Valdés is an academic researcher from University of Arizona. The author has contributed to research in topics: Precipitation & Water resources. The author has an hindex of 35, co-authored 136 publications receiving 5092 citations. Previous affiliations of Juan B. Valdés include NASA Headquarters & United States Army Corps of Engineers.

Papers
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Journal ArticleDOI

The Ground-Truth Problem for Satellite Estimates of Rain Rate

Gerald R. North, +3 more
- 01 Aug 1994 - 
TL;DR: In this article, the authors used a point raingage to compare contemporaneous measurements of rain rate from a single-field-of-view (FOV) estimate based on a satellite remote sensor such as a microwave radiometer.
Book ChapterDOI

Decision Support Systems in Water Resources Planning and Management: Stakeholder Participation and the Sustainable Path to Science-Based Decision Making

Aleix Serrat-Capdevila, +2 more
TL;DR: In this paper, the authors focus on decision support systems (DSS) as they relate to water resources management and planning, and present a vision to merge adaptive management, integrative modeling and stakeholder participation to face the water management challenges of the arriving future.
Journal ArticleDOI

Streamflow Forecasting for Han River Basin, Korea

Haitham M. Awwad, +2 more
- 01 Sep 1994 - 
TL;DR: In this article, a multisite river flow forecasting model is presented for the Han River Basin, Korea, and the Kalman filter is used to forecast and update optimal estimates of the flows in real time.
Journal ArticleDOI

Respiratory disease and particulate air pollution in Santiago Chile: Contribution of erosion particles from fine sediments

Pablo Garcia-Chevesich, +12 more
- 01 Apr 2014 - 
TL;DR: The need for the creation of erosion/sediment control regulations in Chile is emphasized, to decrease respiratory diseases on Chilean polluted cities.
Journal ArticleDOI

A regional monthly precipitation simulation model based on an L-moment smoothed statistical regionalization approach

Javier González, +1 more
- 01 Jan 2008 - 
TL;DR: In this paper, a new approach for the statistical regionalization of a large precipitation field, replacing the shape constancy assumption for the hypothesis of smooth spatial variation, is presented, which accounts for every uncertainty on site information, using an L-moment method for inference analysis.