Evidence map›Paper›PMID 39467129›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Nonstationarity in the global terrestrial water cycle and its interlinkages in the Anthropocene.

Wanshu Nie, Sujay V Kumar, Augusto Getirana, Long Zhao, Melissa L Wrzesien, Goutam Konapala, Shahryar Khalique Ahmad, Kim A Locke, Thomas R Holmes, Bryant D Loomis and 1 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Nonstationarity in the global terrestrial water cycle and its interlinkages in the Anthropocene.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Wanshu NieHydrological Sciences Lab, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Greenbelt, MD 20771.ORCID 0000-0003-3639-9570
Sujay V KumarHydrological Sciences Lab, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Greenbelt, MD 20771.ORCID 0000-0001-8797-9482
Augusto GetiranaHydrological Sciences Lab, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Greenbelt, MD 20771.
Long ZhaoDepartment of Analytics and Operations, National University of Singapore, Queenstown, Singapore 119245.
Melissa L WrzesienHydrological Sciences Lab, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Greenbelt, MD 20771.
Goutam KonapalaPacific Northwest National Laboratory, Richland, WA 99354.
Shahryar Khalique AhmadHydrological Sciences Lab, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Greenbelt, MD 20771.
Kim A LockeHydrological Sciences Lab, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Greenbelt, MD 20771.
Thomas R HolmesHydrological Sciences Lab, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Greenbelt, MD 20771.ORCID 0000-0002-4651-0079
Bryant D LoomisGeodesy and Geophysics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771.ORCID 0000-0002-9370-9160
Matthew RodellHydrological Sciences Lab, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center, Greenbelt, MD 20771.ORCID 0000-0003-0106-7437

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change and human activities alter the global freshwater cycle, causing nonstationary processes as its distribution shifting over time, yet a comprehensive understanding of these changes remains elusive. Here, we develop a remote sensing-informed terrestrial reanalysis and assess the nonstationarity of and interconnections among global water cycle components from 2003 to 2020. We highlight 20 hotspot regions where terrestrial water storage exhibits strong nonstationarity, impacting 35% of the global population and 45% of the area covered by irrigated agriculture. Emerging long-term trends dominate the most often (48.2%), followed by seasonal shifts (32.8%) and changes in extremes (19%). Notably, in mid-latitudes, this encompasses 34% of Asia and 27% of North America. The patterns of nonstationarity and their dominant types differ across other water cycle components, including precipitation, evapotranspiration, runoff, and gross primary production. These differences also manifest uniquely across hotspot regions, illustrating the intricate ways in which each component responds to climate change and human water management. Our findings emphasize the importance of considering nonstationarity when assessing water cycle information toward the development of strategies for sustainable water resource usage, enhancing resilience to extreme events, and effectively addressing other challenges associated with climate change.

Indexed as

climate changedata assimilationglobal water cyclehuman disturbancenonstationarity

Identifiers

PMID39467129
PMCPMC11551368

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.