scispace - formally typeset
L

Leena Leppänen

Researcher at Finnish Meteorological Institute

Publications -  18
Citations -  303

Leena Leppänen is an academic researcher from Finnish Meteorological Institute. The author has contributed to research in topics: Snow & Snowpack. The author has an hindex of 8, co-authored 14 publications receiving 222 citations.

Papers
More filters
Journal ArticleDOI

Retrieval of Effective Correlation Length and Snow Water Equivalent from Radar and Passive Microwave Measurements

TL;DR: An effective correlation length for the snowpack is derived, which matches the simulated microwave response of a semi-empirical radiative transfer model to observations, and is applied to parameterize the retrieval of SWE using radar, improving retrieval skill compared to a case with no prior knowledge of snow-scattering efficiency.
Journal ArticleDOI

European In-Situ Snow Measurements: Practices and Purposes.

TL;DR: The results of this survey are discussed from the perspective of the need of enhancing the efficiency and coverage of the in-situ observational network applying automatic and cheap measurement methods and recommendations for the enhancement and harmonization of the observational network and measurement practices are provided.
Journal ArticleDOI

Comparison of traditional and optical grain-size field measurements with SNOWPACK simulations in a taiga snowpack

TL;DR: In this paper, the authors compare an extensive experimental dataset of measurements of traditional grain size and SSA-derived optical grain size with SNOWPACK simulations of grain-size parameters.
Journal ArticleDOI

Sodankylä manual snow survey program

TL;DR: The manual snow survey program of the Arctic Research Centre of the Finnish Meteorological Institute (FMI-ARC) consists of numerous observations of natural seasonal taiga snowpack in Sodankyla, northern Finland as discussed by the authors.
Journal ArticleDOI

Microstructure representation of snow in coupled snowpack and microwave emission models

TL;DR: In this article, a wide range of coupled snow evolution and microwave emission models in a common modelling framework was used to generalise the link between snow-grain microstructure predicted by the snow evolution models and micro-structure required to reproduce observations of brightness temperature as simulated by snow emission models.