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Juha Lemmetyinen

Researcher at Finnish Meteorological Institute

Publications -  187
Citations -  3489

Juha Lemmetyinen is an academic researcher from Finnish Meteorological Institute. The author has contributed to research in topics: Snow & Radiometer. The author has an hindex of 29, co-authored 166 publications receiving 2521 citations. Previous affiliations of Juha Lemmetyinen include Aalto University & Chinese Academy of Sciences.

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Estimating northern hemisphere snow water equivalent for climate research through assimilation of space-borne radiometer data and ground-based measurements

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.
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Patterns and trends of Northern Hemisphere snow mass from 1980 to 2018.

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.
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Detection of soil freezing from L-band passive microwave observations

TL;DR: In this paper, a novel algorithm for detecting seasonal soil freezing processes using L-band microwave radiometry is presented. But the method is not suitable for the monitoring of soil freezing, due to the inherent high contrast of the microwave signature between the frozen and thawed states of the soil medium.
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L-Band Radiometer Observations of Soil Processes in Boreal and Subarctic Environments

TL;DR: Results show that soil freezing and thawing processes have an observable effect on the L-band signature of soil, and the presented emission model is able to relate the observed dynamics in brightness temperature to the increase of soil frost.
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SMOS prototype algorithm for detecting autumn soil freezing

TL;DR: In this paper, a prototype algorithm for hemispheric scale detection of autumn soil freezing using space-borne L-band passive microwave observations is presented, based on earlier empirical and theoretical studies of Lband emission properties of freezing and thawing soils.