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Resolution dependence of precipitation statistical fidelity in hindcast simulations

  • Travis A. O'Brien
  • , William D. Collins
  • , Karthik Kashinath
  • , Oliver Rübel
  • , Suren Byna
  • , Junmin Gu
  • , Hari Krishnan
  • , Paul A. Ullrich

Research output: Contribution to journalArticlepeer-review

67 Citations (Scopus)

Abstract

Numerous studies have shown that atmospheric models with high horizontal resolution better represent the physics and statistics of precipitation in climate models. While it is abundantly clear from these studies that high-resolution increases the rate of extreme precipitation, it is not clear whether these added extreme events are “realistic”; whether they occur in simulations in response to the same forcings that drive similar events in reality. In order to understand whether increasing horizontal resolution results in improved model fidelity, a hindcast-based, multiresolution experimental design has been conceived and implemented: the InitiaLIzed-ensemble, Analyze, and Develop (ILIAD) framework. The ILIAD framework allows direct comparison between observed and simulated weather events across multiple resolutions and assessment of the degree to which increased resolution improves the fidelity of extremes. Analysis of 5 years of daily 5 day hindcasts with the Community Earth System Model at horizontal resolutions of 220, 110, and 28 km shows that: (1) these hindcasts reproduce the resolution-dependent increase of extreme precipitation that has been identified in longer-duration simulations, (2) the correspondence between simulated and observed extreme precipitation improves as resolution increases; and (3) this increase in extremes and precipitation fidelity comes entirely from resolved-scale precipitation. Evidence is presented that this resolution-dependent increase in precipitation intensity can be explained by the theory of Rauscher et al. (), which states that precipitation intensifies at high resolution due to an interaction between the emergent scaling (spectral) properties of the wind field and the constraint of fluid continuity.

Original languageEnglish
Pages (from-to)976-990
Number of pages15
JournalJournal of Advances in Modeling Earth Systems
Volume8
Issue number2
DOIs
Publication statusPublished - 1 Jun 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • CAM
  • extremes
  • hindcast
  • precipitation
  • resolution
  • updraft

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