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.

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

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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