Evidence map›Paper›PMID 38461156›Full record

ArticleScientific data2024

A database of in situ water temperatures for large inland lakes across the coterminous United States.

Troy Sorensen, Eamon Espey, John G W Kelley, James Kessler, Andrew D Gronewold

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Troy SorensenSchool for Environment and Sustainability, University of Michigan, Ann Arbor, 48104, USA. trsoren@umich.edu.ORCID http://orcid.org/0009-0003-3683-2749
Eamon EspeySchool for Environment and Sustainability, University of Michigan, Ann Arbor, 48104, USA.
John G W KelleyCoastal Survey Development Laboratory, National Ocean Service, NOAA, Silver Spring, 20910, USA.
James KesslerGreat Lakes Environmental Research Laboratory, NOAA, Ann Arbor, 48108, USA.ORCID http://orcid.org/0000-0001-8643-7569
Andrew D GronewoldSchool for Environment and Sustainability, University of Michigan, Ann Arbor, 48104, USA.ORCID http://orcid.org/0000-0002-3576-2529

Funding

National Center for Atmospheric Research (NCAR) NA21OAR4590178University of Colorado (Colorado University) NA21OAR4590179University of Michigan (U-M) NA21OAR4590177
6 · The paper itself

Abstract

Water temperature dynamics in large inland lakes are interrelated with internal lake physics, ecosystem function, and adjacent land surface meteorology and climatology. Models for simulating and forecasting lake temperatures often rely on remote sensing and in situ data for validation. In situ monitoring platforms have the benefit of providing relatively precise measurements at multiple lake depths, but are often sparser (temporally and spatially) than remote sensing data. Here, we address the challenge of synthesizing in situ lake temperature data by creating a standardized database of near-surface and subsurface measurements from 134 sites across 29 large North American lakes, with the primary goal of supporting an ongoing lake model validation study. We utilize data sources ranging from federal agency repositories to local monitoring group samples, with a collective historical record spanning January 1, 2000 through December 31, 2022. Our database has direct utility for validating simulations and forecasts from operational numerical weather prediction systems in large lakes whose extensive surface area may significantly influence nearby weather and climate patterns.

Identifiers

PMID38461156
PMCPMC10924966

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Registered trials

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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.