Projected changes in compound hot-dry events depend on the dry indicator considered

Hosseinzadehtalaei, Parisa, Termonia, Piet, Tabari, Hossein and Sherpa, Sonam F., (2024). Projected changes in compound hot-dry events depend on the dry indicator considered. Communications earth and environment, 5 N/A-N/A

Document type:
Article

Metadata
Documents
Links
Versions
Statistics
  • Attached Files (Some files may be inaccessible until you login with your UNU Collections credentials)
    Name Description MIMEType Size Downloads
    Projected_changes_in_compound_hot-dry.pdf Projected changes in compound hot-dry.pdf Click to show the corresponding preview/stream application/pdf; Bytes
  • Sub-type Journal article
    Author Hosseinzadehtalaei, Parisa
    Termonia, Piet
    Tabari, Hossein
    Sherpa, Sonam F.
    Title Projected changes in compound hot-dry events depend on the dry indicator considered
    Appearing in Communications earth and environment
    Volume 5
    Publication Date 2024-04-24
    Place of Publication N/A
    Publisher Springer Nature
    Start page N/A
    End page N/A
    Language eng
    Abstract The intensification of compound hot-dry events due to climate change is a pressing concern, underscoring the need for precise analysis. However, the impact of different dry indicators on projections of these events has not been quantitatively evaluated, nor has its importance been compared with other sources of uncertainty. Here we examine the sensitivity of projected changes in compound hot-dry events to different dry indicators. We use data from 22 Coupled Model Intercomparison Project Phase 6 (CMIP6) models to characterize global dry conditions based on precipitation, runoff, soil moisture, and a multivariate index combining these variables through trivariate copulas. Our findings reveal large differences in projected changes in the likelihood of compound hot-dry events across different dry indicators. While model uncertainty remains the primary source of uncertainty for compound hot-dry event projections, the uncertainty associated with dry indicators is also substantial, surpassing scenario uncertainty in specific regions.
    Copyright Holder author(s)
    Copyright Year 2024
    Copyright type Creative commons
    DOI 10.1038/s43247-024-01352-4
  • Versions
    Version Filter Type
  • Citation counts
    Google Scholar Search Google Scholar
    Access Statistics: 26 Abstract Views, 4 File Downloads  -  Detailed Statistics
    Created: Fri, 27 Sep 2024, 04:40:47 JST by Haideh Beigi on behalf of UNU INWEH