This collection contains a high-resolution (2.5 km) dataset of glacier mass balance, runoff and snow conditions in Svalbard from 1991-2022, one of the fastest warming regions in the Arctic. The dataset is created using a full energy balance model (the CryoGrid community model) forced by both the Copernicus Arctic Regional ReAnalysis (CARRA) dataset (1991-2021) and AROME-ARCTIC forecasts (2016-2022). Each variable is available at both a daily and monthly resolution.
Simulations of the seasonal mass balance and runoff for glaciers in Svalbard from the CryoGrid model. The model is forced by AROME-ARCTIC. The spatial resolution is 2.5 x 2.5 km. This dataset contains monthly means.
Simulations of the seasonal mass balance and runoff for glaciers in Svalbard from the CryoGrid model. The model is forced by AROME ARCTIC. The spatial resolution is 2.5 x 2.5 km. This dataset contains daily means.
Simulations of the seasonal mass balance and runoff for glaciers in Svalbard from the CryoGrid model. The model is forced by CARRA. The spatial resolution is 2.5 x 2.5 km. This dataset contains monthly means.
Simulations of the seasonal mass balance and runoff for glaciers in Svalbard from the CryoGrid model. The model is forced by CARRA. The spatial resolution is 2.5 x 2.5 km. This dataset contains daily means.