Evidence map›Paper›PMID 41315342›Full record

ArticleScientific data2025

Hourly potential light availability maps at 10 m resolution over Switzerland.

Clare Webster, Christian Ginzler, Mauro Marty, Anita Nussbaumer, Giulia Mazzotti, Tobias Jonas

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Clare WebsterWSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland. clare.webster@slf.ch.ORCID http://orcid.org/0000-0002-6386-6392
Christian GinzlerSwiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland.ORCID http://orcid.org/0000-0001-6365-2151
Mauro MartySwiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland.
Anita NussbaumerSwiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland.
Giulia MazzottiUniv. Grenoble Alpes, INRAE, CNRS, IRD, G-INP, IGE, Grenoble, France.
Tobias JonasWSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) TP500PN_202741
6 · The paper itself

Abstract

This paper presents the SwissRad10 dataset, containing novel nationwide light availability maps at 10 m and hourly resolution across an entire annual solar cycle. The variables sky-view factor and direct-beam transmissivity are calculated, allowing direct estimation of both direct and diffuse light at the ground surface. The dataset is calculated using the detailed synthetic hemispheric image-based Canopy Radiation Model (CanRad) with the latest airborne lidar and terrain surface data from the swissSURFACE3D dataset and resolves the shadow cast by every single tree in Switzerland. Below and adjacent forest canopy pixels include light availability calculated for both leaf-on and leaf-off canopy structure, and all pixels in the domain include a terrain-only calculation. This data is important for, e.g. assessing forest microhabitat suitability for both plants and animals, for disciplines linked via forest microclimate such as biogeochemistry and snow modelling, as well as for ecosystem research targeting carbon and water fluxes. The nationwide light availability maps presented in this paper will offer valuable insights into the dynamics and drivers of light availability, serving as a valuable resource for researchers, practitioners, and decision-makers working in the field of ecology and environmental sciences.

Identifiers

PMID41315342
PMCPMC12663267

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.