Opendata, web and dolomites


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

Total Cost €


EC-Contrib. €






 CliRSnow project word cloud

Explore the words cloud of the CliRSnow project. It provides you a very rough idea of what is the project "CliRSnow" about.

statistical    rcm    region    water    solution    host    communities    fellowship    projections    impossible    warming    computational    verge    basis    hydropower    time    expertise    spatial    employ    researcher    cover    actions    correcting    rs    output    inside    stakeholders    alpine    background    modis    data    substantially    society    12    hydrology    horizonzal    intensive    independent    global    pave    skills    quantity    interdisciplinary    250m    space    sensing    local    seasonality    economy    ecosystems    15    ready    hydrological    regional    5km    discipline    re    climate    models    precision    impacts    tourism    either    2000    fast    demand    infer    cordex    career    community    bias    empirical    sufficient    rcms    international    innovative    consistently    environment    combine    forms    technological    feasible    alps    countries    agriculture    physical    series    handling    approx    remote    area    computationally    resolution    snow    rely    downstream    cryosphere    daily   

Project "CliRSnow" data sheet

The following table provides information about the project.


Organization address
address: VIALE DRUSO 1
postcode: 39100

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 180˙277 €
 EC max contribution 180˙277 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-10-01   to  2021-04-01


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ACCADEMIA EUROPEA DI BOLZANO IT (BOLZANO) coordinator 180˙277.00


 Project objective

The cryosphere in the European Alps is expected to change substantially with global warming. Snow in the Alps impacts the local communities but also affects the quantity and seasonality of water downstream, and thus has a wide range of effects on agriculture, ecosystems, hydropower, and tourism. Projections of future snow are required in society and economy. Targeted actions require information at the local community scale, which is not yet consistently available for the whole Alpine region. This is because the existing approaches to infer future snow conditions rely on physical models, either regional climate models (RCMs) or snow-hydrological models, which are both computationally very intensive, making it yet impossible to have a high resolution output for such a large area as the Alps. Here, I shall employ empirical models derived from remote sensing (RS) to provide an innovative and fast solution to increase the precision in future projections of snow cover from RCMs for the whole Alpine area. This will be achieved by correcting the bias in snow cover from RCMs and increasing the spatial resolution with RS snow cover data. Such an approach has now become feasible, because the data that forms its basis is on the verge of being sufficient in time (RS: MODIS time series since 2000) and space (RCM: EURO-CORDEX horizonzal resolution at approx. 12.5km). The host has the necessary data (daily MODIS snow cover at 250m and output from 15 different RCMs with snow cover), the technological environment for the computational demand, and the relevant expertise in each discipline (remote sensing, climate, hydrology) inside the institute and with international partners. I shall bring the statistical background, data handling skills, and interdisciplinary experience to combine these fields. This fellowship shall pave the way for my future career as independent researcher, but also produce output ready for re-use and exploitation by stakeholders in the Alpine countries.

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The information about "CLIRSNOW" are provided by the European Opendata Portal: CORDIS opendata.

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