Published June 28, 2023 | Version v1
Journal article Open

Climate-driven changes in the predictability of seasonal precipitation

  • 1. Oak Ridge National Laboratory
  • 2. University of California, Irvine
  • 3. University of Chicago
  • 4. University of Wisconsin-Madison
  • 5. Colorado State University

Description

Climate-driven changes in precipitation amounts and their seasonal variability are expected in many continental-scale regions during the remainder of the 21st century. However, much less is known about future changes in the predictability of seasonal precipitation, an important earth system property relevant for climate adaptation. Here, on the basis of CMIP6 models that capture the present-day teleconnections between seasonal precipitation and previous-season sea surface temperature (SST), we show that climate change is expected to alter the SST-precipitation relationships and thus our ability to predict seasonal precipitation by 2100. Specifically, in the tropics, seasonal precipitation predictability from SSTs is projected to increase throughout the year, except the northern Amazonia during boreal winter. Concurrently, in the extra-tropics predictability is likely to increase in central Asia during boreal spring and winter. The altered predictability, together with enhanced interannual variability of seasonal precipitation, poses new opportunities and challenges for regional water management.

Data availability

The CMIP6 data are available at https://esgf-node.llnl.gov/search/cmip6/.
COBE-SST2 data is available at https://www.esrl.noaa.gov/psd/data/gridded/data.cobe2.html.
GPCP is available at https://psl.noaa.gov/data/gridded/data.gpcp.html.
GPCC data is available at https://climatedataguide.ucar.edu/climate-data/gpcc-global-precipitation-climatology-centre.
The code associated with this paper are freely available for download in SPP repository, https://doi.org/10.5281/zenodo.8015084.

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Additional details

Identifiers

DOI
10.1038/s41467-023-39463-9
Other
oai:uchicago.tind.io:6616

Related works

Funding

National Science Foundation
DMS-1839336
NASA
Global Precipitation Measurement Mission program
U.S. Department of Energy
Office of Science, Biological and Environmental Research, Environmental System Sciences (ESS) program
U.S. Department of Energy
Office of Science RUBISCO Science Focus Area
NASA
Modeling Analysis and Prediction (MAP) program

UChicago Information

Division(s)
Physical Sciences Division
Department(s)
Computer Science, Statistics