A Comparative Analysis of the Historical Accuracy of the Point Precipitation Frequency Estimates of Four Data Sets and Their Projections for the Northeastern United States

Shu Wu, Momcilo Markus, David Lorenz, James Randal Angel, Kevin Grady

Research output: Contribution to journalArticle

Abstract

Many studies have projected that as the climate changes, the magnitudes of extreme precipitation events in the Northeastern United States are likely to continue increasing, regardless of the emission scenario. To examine this issue, we analyzed observed and modeled daily precipitation frequency (PF) estimates in the Northeastern US on the rain gauge station scale based on both annual maximum series (AMS) and partial duration series (PDS) methods. We employed four Coupled Model Intercomparison Project Phase 5 (CMIP5) downscaled data sets, including a probabilistic statistically downscaled data set developed specifically for this study. The ability of these four data sets to reproduce the observed features of historical point PF estimates was compared, and the two with the best historical accuracy, including the newly developed probabilistic data set, were selected to produce projected PF estimates under two CMIP5-based emission scenarios, namely Representative Concentration Pathway 4.5 (RCP4.5) and Representative Concentration Pathway 8.5 (RCP8.5). These projections indeed demonstrate a likely increase in PF estimates in the Northeastern US with noted differences in magnitudes and spatial distributions between the two data sets and between the two scenarios. We also quantified how the exceedance probabilities of the historical PF estimate values are likely to increase under each scenario using the two best performing data sets. Notably, an event with a current exceedance probability of 0.01 (a 100-year event) may have an exceedance probability for the second half of the 21st century of ≈0.04 (a 27-year event) under the RCP4.5 scenario and ≈0.05 (a 19-year event) under RCP8.5. Knowledge about the projected changes to the magnitude and frequency of heavy precipitation in this region will be relevant for the socio-economic and environmental evaluation of future infrastructure projects and will allow for better management and planning decisions.

Original languageEnglish (US)
Article number1279
JournalWater (Switzerland)
Volume11
Issue number6
DOIs
StatePublished - Jun 19 2019

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partial duration series
twenty first century
analysis
gauge
infrastructure
spatial distribution
climate change
CMIP
rain
project
decision
method
station
socioeconomics
evaluation
planning

Keywords

  • Changing of exceedance
  • Downscaling
  • Frequency estimates
  • Future projections
  • Northeastern US
  • RCP4.5
  • RCP8.5

ASJC Scopus subject areas

  • Biochemistry
  • Geography, Planning and Development
  • Aquatic Science
  • Water Science and Technology

Cite this

A Comparative Analysis of the Historical Accuracy of the Point Precipitation Frequency Estimates of Four Data Sets and Their Projections for the Northeastern United States. / Wu, Shu; Markus, Momcilo; Lorenz, David; Angel, James Randal; Grady, Kevin.

In: Water (Switzerland), Vol. 11, No. 6, 1279, 19.06.2019.

Research output: Contribution to journalArticle

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