Evidence map›Paper›PMID 37380668›Full record

ArticleNature communications2023

Climate-driven changes in the predictability of seasonal precipitation.

Phong V V Le, James T Randerson, Rebecca Willett, Stephen Wright, Padhraic Smyth, Clément Guilloteau, Antonios Mamalakis, Efi Foufoula-Georgiou

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
7.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Weather forecasts become more important for reducing mortality as the climate warms.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Selective reuse of prior ensemble data improves the latest air temperature forecast over North America.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 2 countries.

Phong V V LeEnvironmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA. lepv@ornl.gov.ORCID http://orcid.org/0000-0001-5558-1023
James T RandersonDepartment of Civil and Environmental Engineering, University of California, Irvine, CA, USA.ORCID http://orcid.org/0000-0001-6559-7387
Rebecca WillettDepartment of Statistics, University of Chicago, Chicago, IL, USA.
Stephen WrightComputer Science Department, University of Wisconsin-Madison, Madison, WI, USA.
Padhraic SmythDepartment of Computer Science, University of California, Irvine, CA, USA.
Clément GuilloteauDepartment of Civil and Environmental Engineering, University of California, Irvine, CA, USA.
Antonios MamalakisDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO, USA.ORCID http://orcid.org/0000-0002-1731-7595
Efi Foufoula-GeorgiouDepartment of Civil and Environmental Engineering, University of California, Irvine, CA, USA. efi@uci.edu.ORCID http://orcid.org/0000-0003-1078-231X
University of California, Irvine · USColorado State University · USOak Ridge National Laboratory · USUniversity of Chicago · USUniversity of Wisconsin–Madison · US

Funding

National Aeronautics and Space Administration (NASA) 80NSSC22K0597National Science Foundation (NSF) DMS-1839336
6 · The paper itself

Abstract

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.

Identifiers

PMID37380668
PMCPMC10307878
OpenAlexW4382399820

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.