Evidence map›Paper›PMID 28616227›Full record

ArticleGeoscience data journal2015

Bridging the gap between climate models and impact studies: the FORESEE Database.

L Dobor, Z Barcza, T Hlásny, Á Havasi, F Horváth, P Ittzés, J Bartholy

Abstract read
In one paragraph

Article in Geoscience data journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

7 authors.

L DoborDepartment of Meteorology Eötvös Loránd University Budapest Hungary.
Z BarczaDepartment of Meteorology Eötvös Loránd University Budapest Hungary.
T HlásnyNational Forest Centre - Forest Research Institute Zvolen Slovakia.
Á HavasiDepartment of Applied Analysis and Computational Mathematics Eötvös Loránd University Budapest Hungary.
F HorváthInstitute of Ecology and Botany Centre for Ecological Research Hungarian Academy of Sciences Vácrátót Hungary.
P IttzésInstitute of Ecology and Botany Centre for Ecological Research Hungarian Academy of Sciences Vácrátót Hungary.
J BartholyDepartment of Meteorology Eötvös Loránd University Budapest Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies on climate change impacts are essential for identifying vulnerabilities and developing adaptation options. However, such studies depend crucially on the availability of reliable climate data. In this study, we introduce the climatological database called FORESEE (Open Database for Climate Change Related Impact Studies in Central Europe), which was developed to support the research of and adaptation to climate change in Central and Eastern Europe: the region where knowledge of possible climate change effects is inadequate. A questionnaire-based survey was used to specify database structure and content. FORESEE contains the seamless combination of gridded daily observation-based data (1951-2013) built on the E-OBS and CRU TS datasets, and a collection of climate projections (2014-2100). The future climate is represented by bias-corrected meteorological data from 10 regional climate models (RCMs), driven by the A1B emission scenario. These latter data were developed within the frame of the ENSEMBLES FP6 project. Although FORESEE only covers a limited area of Central and Eastern Europe, the methodology of database development, the applied bias correction techniques, and the data dissemination method, can serve as a blueprint for similar initiatives.

Indexed as

bias correctionCentral and Eastern Europeclimatological database

Identifiers

PMID28616227
PMCPMC5445562

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.