Climate indicators for Austria since 1961 at 1 km resolution

Why this matters for everyday life

To understand how climate change is reshaping our weather, we need more than isolated temperature records or dramatic photos of floods and heatwaves. This paper presents a finely detailed climate “atlas” for Austria that turns decades of daily weather measurements into easy-to-use indicators, such as how often it rains heavily, how long snow stays on the ground, or how quickly heat is building. Designed to be open, consistent and ready for analysis, the dataset helps scientists, planners, and policymakers see clearly how the climate has already shifted and where future risks may concentrate.

Turning raw weather into clear climate signals

Weather stations and models produce an enormous stream of daily numbers: temperatures, rainfall, sunshine, snow depth, river runoff and more. On their own, these values are noisy and hard to interpret. The authors transform this raw information into 117 climate indicators tailored to real-world questions, such as drought risk, snow reliability, or heat stress. For all of Austria and nearby catchments, they compute these indicators on a fine one‑kilometre grid from 1961 onward. That high resolution lets users see contrasts between mountain valleys, cities and rural areas instead of just national averages.

Consistent views across seasons and decades

To make meaningful comparisons over time, the team follows international standards set by the World Meteorological Organization. They summarize each indicator by seasons and years, and they provide averages over two widely used 30‑year reference periods: 1961–1990 and 1991–2020. This allows users to see, for example, how average conditions and extremes have shifted between the late 20th century and the more recent climate. They also compute simple area‑wide averages over Austria, yielding time series that show at a glance how indicators such as mean temperature have drifted away from their earlier baselines.

How the indicators are built and checked

Behind the scenes, the dataset rests on existing high‑quality gridded products from GeoSphere Austria that combine many station observations into daily maps of temperature, rainfall, sunshine, snow, and drought‑related measures. Using open‑source Python tools, especially the xclim library plus custom routines, the authors run a standardized workflow that loads these inputs, applies needed thresholds, and calculates each indicator. The process is fully scripted and driven by configuration files, so it can be re‑run or extended to new data or scenarios. For each indicator they then create yearly files, climatology maps for the two reference periods, national mean time series, and maps showing where the difference between past and recent periods is statistically significant.

A carefully curated public resource

The resulting products are organized into six main archives, all freely available. One contains the full one‑kilometre maps for all years and seasons, enabling detailed spatial studies. Others hold national mean time series, the two climatology periods, significance maps, and ready‑made plots such as warming stripes, spatial difference maps, and compact “stampplots” that reveal changes across both space and time. To ensure reliability, the team carries out a series of technical checks on file sizes, counts and data values, and they visually inspect all generated figures to confirm that patterns make sense from a climatological perspective.

Helping people study impacts and make decisions

This climate indicator set is designed as a workhorse for impact studies. It can feed into research on natural hazards like floods and landslides, on forest health, agriculture, and public health, and on broader social and economic risks. Because many indicators are naturally correlated—warmer conditions often mean less snow and more evaporation—the authors advise users to examine these relationships carefully, especially when building statistical or machine‑learning models. Overall, the paper’s conclusion is that Austria now has a transparent, up‑to‑date and flexible climate indicator resource that turns decades of detailed weather records into clear signals of change. By being openly shared and fully documented, it provides a trusted foundation for understanding how the country’s climate is evolving and for planning how to adapt.

Citation: Lehner, S., Schlögl, M. Climate indicators for Austria since 1961 at 1 km resolution. Sci Data 13, 475 (2026). https://doi.org/10.1038/s41597-026-06834-y

Keywords: climate indicators, Austria climate data, high-resolution gridded climate, climate change trends, climate impact analysis