Climate indicators for Austria since 1961 at 1 km resolution

Climate indicators are essential for monitoring ongoing climate change, supporting climate impact research, conducting spatial hot spot analyses and assessing attribution questions. These efforts rely on high-quality, reliable datasets that adhere to FAIR data principles. We present a curated dataset of 117 climate indicators for Austria, covering the period from 1961 onward at a 1-km spatial resolution. The dataset includes climate indicators related to temperature, precipitation, radiation, snow, runoff and humidity, with spatial (area means) and temporal (climatological reference period means) aggregations to enable rapid climate impact analysis. The workflow used to compute these indices is supported by a careful technical validation procedure and is designed to ingest diverse climate datasets, enabling the creation of climate indices beyond the scope presented here. Both the dataset and the workflow thus offer a robust, flexible and user-friendly resource for advancing climate research and supporting informed decision-making.

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Publication Details

Journal
Scientific Data
Published
2026-02-18
DOI
https://doi.org/10.1038/s41597-026-06834-y
Primary Topic
Research Data Management Practices
Type
article
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article

Climate indicators for Austria since 1961 at 1 km resolution

Sebastian Lehner, Matthias Schlögl
Scientific Data
Research Data Management Practices
article

Climate indicators for Austria since 1961 at 1 km resolution

Sebastian Lehner, Matthias Schlögl
article en

Abstract

Climate indicators are essential for monitoring ongoing climate change, supporting climate impact research, conducting spatial hot spot analyses and assessing attribution questions. These efforts rely on high-quality, reliable datasets that adhere to FAIR data principles. We present a curated dataset of 117 climate indicators for Austria, covering the period from 1961 onward at a 1-km spatial resolution. The dataset includes climate indicators related to temperature, precipitation, radiation, snow, runoff and humidity, with spatial (area means) and temporal (climatological reference period means) aggregations to enable rapid climate impact analysis. The workflow used to compute these indices is supported by a careful technical validation procedure and is designed to ingest diverse climate datasets, enabling the creation of climate indices beyond the scope presented here. Both the dataset and the workflow thus offer a robust, flexible and user-friendly resource for advancing climate research and supporting informed decision-making.

Scientific DataVol. 13(1)
Central Institution for Meteorology and Geodynamics (AT), Institute of Geosphere Dynamics (RU), BOKU University (AT)
Climate action
Openalex Percentile: Top 66%
Research Data Management Practices
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Climate indicators for Austria since 1961 at 1 km resolution — Sebastian Lehner, Matthias Schlögl · Scientific Data (2026) | TGRS Research Map | TGRS