Matias Takala

TL;DR: In this paper, an algorithm assimilating synoptic weather station data on snow depth with satellite passive microwave radiometer data is applied to produce a 30-year-long time-series of seasonal snow water equivalent (SWE) for the northern hemisphere.

TL;DR: Applying a bias correction to a state-of-the-art dataset covering non-alpine regions of the Northern Hemisphere and to three other datasets yields a more constrained quantification of snow mass in March from 1980 to 2018, enabling a better estimation of the role of seasonalSnow mass in Earth's energy, water and carbon budgets.

TL;DR: In this article, the retrieval of snow water equivalent (SWE) and snow depth is performed by inverting Special Sensor Microwave Imager (SSM/I) brightness temperatures at 19 and 37 GHz using artificial neural network ANN-based techniques.

TL;DR: The novelty here is the demonstration and validation of estimates for a large continental scale (for areas dominated by boreal forests) using extensive reference data sets for a nearly 30-year period.

TL;DR: A proxy indicator for spring recovery from in situ flux data on CO2 exchange and recent satellite snowmelt products is developed and a relation between spring recovery and carbon uptake is established to assess changes in springtime carbon exchange showing a major advance in the CO2 sink.