Unit

Environmental Remote Sensing Laboratory

Laboratory

Summary

The Environmental Teledetection Laboratory (LTE) at EPFL focuses on understanding the dynamics of precipitation in alpine regions, crucial for water resources and natural hazards forecasting. LTE combines experimental methods like X-band radar and disdrometers with stochastic modeling to quantify uncertainties. Research projects include Antarctic precipitation and microphysics, convective precipitation, and quantitative precipitation estimation. LTE is involved in various field campaigns and manages advanced instruments such as the MXPol radar, WProf cloud radar, Multi-Angle Snowflake Camera (MASC), and a network of disdrometers. Recent publications cover topics like snowfall microphysical properties, calibration transfer methodology for cloud radars, and simulation of snowfall in Antarctica.

Official source

https://lte.epfl.ch

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Ontological neighbourhood

Mechanical engineering

Aerospace engineering: Radar

Related people (18)

Alexis Berne, Valentin Simeonov, Jacopo Grazioli, Josué Etienne Gehring, Marco Gabella, André Studzinski, Alfonso Ferrone, Romanos Foskinis, Monika Feldmann, Anne-Claire Marie Billault--Roux

Units doing similar research (4)

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Related publications (996)

Good enough: Intermediate complexity atmospheric models improve the representation of processes affecting seasonal snow

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Snow plays a crucial role in processes regulating ecosystems, the climate, and human development. Mountain snowpack in particular has great relevance for downstream communities. Knowledge about the distribution and properties of the snowpack thus help in p ...

EPFL2024

Intermediate complexity atmospheric modeling in complex terrain: is it right?

Michael Lehning, Dylan Stewart Reynolds, Michael Haugeneder

Dynamic downscaling of atmospheric forcing data to the hectometer resolution has shown increases in accuracy for landsurface models, but at great computational cost. Here we present a validation of a novel intermediate complexity atmospheric model, HICAR, ...

Frontiers Media Sa2024

Snowfall deposition in mountainous terrain: a statistical downscaling scheme from high-resolution model data on simulated topographies

Michael Lehning

One of the primary causes of non-uniform snowfall deposition on the ground in mountainous regions is the preferential deposition of snow, which results from the interaction of near-surface winds with topography and snow particles. However, producing high-r ...

Lausanne2024

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