Evidence map›Paper›PMID 37280240›Full record

ArticleScientific data2023

ICESat-2 river surface slope (IRIS): A global reach-scale water surface slope dataset.

Daniel Scherer, Christian Schwatke, Denise Dettmering, Florian Seitz

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2023. 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
3.5field-weighted citation impact, top 7% 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

4 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Global alluvial channel patterns.Nature communications · 2026
    Article
  3. Article
  4. 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

4 authors at 1 institution in 1 country.

Daniel SchererDeutsches Geodätisches Forschungsinstitut der Technischen Universität München (DGFI-TUM), TUM School of Engineering and Design, Department of Aerospace and Geodesy, Munich, Germany. daniel.scherer@tum.de.ORCID 0000-0001-6210-5869
Christian SchwatkeDeutsches Geodätisches Forschungsinstitut der Technischen Universität München (DGFI-TUM), TUM School of Engineering and Design, Department of Aerospace and Geodesy, Munich, Germany.ORCID 0000-0002-4741-3449
Denise DettmeringDeutsches Geodätisches Forschungsinstitut der Technischen Universität München (DGFI-TUM), TUM School of Engineering and Design, Department of Aerospace and Geodesy, Munich, Germany.ORCID 0000-0002-8940-4639
Florian SeitzDeutsches Geodätisches Forschungsinstitut der Technischen Universität München (DGFI-TUM), TUM School of Engineering and Design, Department of Aerospace and Geodesy, Munich, Germany.
Technical University of Munich · DE

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 2174/10-2
6 · The paper itself

Abstract

The global reach-scale "ICESat-2 River Surface Slope" (IRIS) dataset comprises average and extreme water surface slopes (WSS) derived from ICESat-2 observations between October 2018 and August 2022 as a supplement to 121,583 reaches from the "SWOT Mission River Database" (SWORD). To gain full advantage of ICESat-2's unique measurement geometry with six parallel lidar beams, the WSS is determined across pairs of beams or along individual beams, depending on the intersection angle of spacecraft orbit and river centerline. Combining both approaches maximizes spatial and temporal coverage. IRIS can be used to research river dynamics, estimate river discharge, and correct water level time series from satellite altimetry for shifting ground tracks. Additionally, by referencing SWORD as a common database, IRIS may be used in combination with observations from the recently launched SWOT mission.

Identifiers

PMID37280240
PMCPMC10244387
OpenAlexW4379534517

What OpenQuestion holds

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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.