Modelling

MeteoSaver v1.0: a machine-learning based software for the transcription of historical weather data

Our open-source software can help address the challenges of limited available hydro-climatic data within many regions of the world, by helping to save millions of handwritten records of historical weather data presently stored in archives, and expedite research on the climate and environmental changes in data scarce regions.

Using long-term data from a whole ecosystem warming experiment to identify best spring and autumn phenology models

The combination of experimental manipulations and multiple years provided the framework to select the best phenology models.

Pan-Arctic soil moisture control on tundra carbon sequestration and plant productivity

Soil moisture limits the arctic carbon sink potential under climate change.

Predicting spring green-up across diverse North American grasslands

Existing models poorly predict the timing of spring green-up in grasslands. New model shows grassland green-up is driven by both precipitation and temperature.

Predicting spring green-up across diverse North American grasslands

Existing models of grassland phenology poorly predict green-up. Inclusion of precipitation, in addition to temperature, resulted in significantly better model results, although different thresholds apply across different climate regions.