High resolution monthly precipitation and temperature timeseries for the period 2006-2100

TL;DR

This paper provides high-resolution monthly climate time series data for precipitation and temperature from 2006 to 2100, generated using downscaling techniques for global climate models, aiding impact studies.

Contribution

It introduces a novel combination of model output statistics and mechanistic downscaling to produce detailed climate projections at 5 km resolution.

Findings

Validated downscaling accuracy against historical climate data.

Generated comprehensive climate projections for 2006-2100.

Enabled high-resolution climate impact assessments.

Abstract

Predicting future climatic conditions at high spatial resolution is essential for many applications and impact studies in science. Here, we present monthly time series data on precipitation, minimum- and maximum temperature for four downscaled global circulation models. We used model output statistics in combination with mechanistic downscaling (the CHELSa algorithm) to calculate mean monthly maximum and minimum temperatures, as well as monthly precipitation at 5 km spatial resolution globally for the years 2006-2100. We validated the performance of the downscaling algorithm by comparing model output with the observed climate of the historical period 1950-1969.