Files and links (1)
Published, Version of Record (VoR)CC BY V4.0, Open
Journal article
Development of a Non-Parametric Stationary Synthetic Rainfall Generator for Use in Hourly Water Resource Simulations
Water (Basel), v 11(8), 1728
01 Aug 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper presents a new non-parametric, synthetic rainfall generator for use in hourly water resource simulations. Historic continuous precipitation time series are discretized into sequences of dry and wet events separated by an inter-event dry period at least equal to four hours. A first-order Markov Chain model is then used to generate synthetic sequences of alternating wet and dry events. Sequential events in the synthetic series are selected based on couplings of historic wet and dry events, using nearest neighbor and moving window methods. The new generator is used to generate synthetic sequences of rainfall for New York (NY), Syracuse (NY), and Miami (FL) using over 50 years of observations. Monthly precipitation differences (e.g., seasonality) are well represented in the synthetic series generated for all three cities. The synthetic New York results are also shown to reproduce realistic event sequences proved by a deep event-based analysis.
Metrics
Details
- Title
- Development of a Non-Parametric Stationary Synthetic Rainfall Generator for Use in Hourly Water Resource Simulations
- Creators
- Ziwen Yu - Univ Florida, Dept Agr & Biol Engn, Gainesville, FL 32603 USAStephanie Miller - University of Colorado BoulderFranco Montalto - Drexel UniversityUpmanu Lall - Columbia Univ, Dept Earth & Environm Engn, New York, NY 10027 USA
- Publication Details
- Water (Basel), v 11(8), 1728
- Publisher
- Mdpi
- Number of pages
- 14
- Grant note
- NA15OAR4310147 / National Oceanic and Atmospheric Administration (NOAA) Supporting Regional Implementation of Integrated Climate Resilience: Consortium for Climate Risks in the Urban Northeast (CCRUN) Phase II*
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering; Center for Public Policy; Family (Community and Preventive) Medicine
- Web of Science ID
- WOS:000484561500201
- Scopus ID
- 2-s2.0-85071114810
- Other Identifier
- 991019167581604721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Environmental Sciences
- Water Resources