Evidence map›Paper›PMID 29786698›Full record

ArticleScientific data2018

A reconstruction of global hydroclimate and dynamical variables over the Common Era.

Nathan J Steiger, Jason E Smerdon, Edward R Cook, Benjamin I Cook

Abstract read
In one paragraph

Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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  11. Paleoclimate pattern effects help constrain climate sensitivity and 21st-century warming.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  17. Recent drying of the Ganga River is unprecedented in the last 1,300 years.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

4 authors.

Nathan J SteigerLamont-Doherty Earth Observatory of Columbia University, Palisades, NY 10964, USA.
Jason E SmerdonLamont-Doherty Earth Observatory of Columbia University, Palisades, NY 10964, USA.
Edward R CookLamont-Doherty Earth Observatory of Columbia University, Palisades, NY 10964, USA.
Benjamin I CookNASA Goddard Institute for Space Studies, New York, NY 10025, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydroclimate extremes critically affect human and natural systems, but there remain many unanswered questions about their causes and how to interpret their dynamics in the past and in climate change projections. These uncertainties are due, in part, to the lack of long-term, spatially resolved hydroclimate reconstructions and information on the underlying physical drivers for many regions. Here we present the first global reconstructions of hydroclimate and associated climate dynamical variables over the past two thousand years. We use a data assimilation approach tailored to reconstruct hydroclimate that optimally combines 2,978 paleoclimate proxy-data time series with the physical constraints of an atmosphere-ocean climate model. The global reconstructions are annually or seasonally resolved and include two spatiotemporal drought indices, near-surface air temperature, an index of North Atlantic variability, the location of the intertropical convergence zone, and monthly Niño indices. This database, called the Paleo Hydrodynamics Data Assimilation product (PHYDA), will provide a critical new platform for investigating the causes of past climate variability and extremes, while informing interpretations of future hydroclimate projections.

Identifiers

PMID29786698
PMCPMC5963340

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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.