CliRSnow

Statistically combine climate models with remote sensing to provide high-resolution snow projections for the near and distant future.

Snow in the European Alps - past, present, and future

Combining in-situ observations, remote sensing, and climate models

Post-doctoral fellowship funded by the EU Horizon 2020 Marie Skłodowska-Curie Actions

October 2018 - September 2021 (part time; 24 months full time equivalent)

Key Results

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Overview of the action

Objectives

The aim of CliRSnow is to provide high-resolution snow cover climatologies and projections by exploiting statistical relationships between earth observation data (remote sensing and in-situ) and climate models.

The main objectives are:

  • Alpine wide assessment of past trends in snow depth and snow water equivalent based on in-situ data; and past trends in snow cover area and duration based on in-situ, remotely sensed, and climate model data
  • Alpine wide past climatologies and future projections of snow cover area and duration at 250m spatial resolution until the year 2100 by combining the EURO-CORDEX ensemble of RCMs with MODIS

Overview of the work packages

  1. Collect alpine wide in-situ snow observations from meteorological offices of Austria, France, Germany, Italy, Slovenia and Switzerland. Identify past trends in snow depth and snow water equivalent. Collect previous studies on snow cover projections in the Alpine area and the associated datasets. (WP1)
  2. Quantify bias between remotely sensed snow and climate model output in the common period 2000-2017. (WP2.1)
  3. Derive relationship between small-scale 250m RS snow cover and upscaled RS (at climate model resolution) snow cover. (WP2.2)
  4. Use 2. and 3. to provide biascorrected 250m past climatologies and future projections of snow cover. (WP3.1)
  5. Validate 4. using in-sample cross validation and compare results in certain areas to the traditional snow-hydrological modeling approach. (WP3.2)

Research

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Bias adjustment and downscaling of snow cover fraction projections from regional climate models using remote sensing for the European Alps

Statistical post-processing of climate model output using earth observation data for snow cover fraction.

Future snow cover fraction and duration in the European Alps

Bias adjusted and downscaled output from regional climate models (RCMs) for the Greater Alpine Region using earth observation data.

Observed snow depth trends in the European Alps: 1971 to 2019

First alpine wide study on ground snow depth observation

Station observations of snow depth and depth of snowfall in the European Alps

Homogenized dataset of over 2000 series of daily snow observations.

Code for cloudremoval in Eurac MODIS snow maps

Python code to remove clouds in Eurac’s MODIS snow maps

Eurac MODIS snow cloudremoval data paper

Data descriptor of Eurac’s MODIS almost cloudfree snow maps

Evaluating Snow in EURO-CORDEX Regional Climate Models with Observations for the European Alps

Biases and Their Relationship to Orography, Temperature, and Precipitation Mismatches

Eurac MODIS snow cloudremoval data

Dataset of Eurac’s MODIS almost cloudfree snow maps at Zenodo

People

Fellow

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Michael Matiu

Marie Sklodowska-Curie Fellow

Supervisor

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Marc Zebisch

Head of Institute

Co-Supervisors

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Claudia Notarnicola

Vice Head of Institute

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Marcello Petitta

Senior Researcher

Assisting Researchers

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Alice Crespi

Post-Doc Researcher

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Peter James Zellner

Researcher

Fellowship Acquisition

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Karina Kössler

Research Development Office

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Liise Lehtsalu

Research Development Office

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Valentina Bergonzi

Communication

Administration

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Daniela Dellantonio

Project Assistant

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Karina Kössler

Research Development Office

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Paola Winkler

Team Assistant

Communication

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Barbara Baumgartner

Communication

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Francesca Taponecco

Communication

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Valentina Bergonzi

Communication

Contact

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 795310.

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