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CliRSnow SIGNED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 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.

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

Project "CliRSnow" data sheet

The following table provides information about the project.

Coordinator
ACCADEMIA EUROPEA DI BOLZANO 

Organization address
address: VIALE DRUSO 1
city: BOLZANO
postcode: 39100
website: www.eurac.edu

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

 Partnership

Take a look of project's partnership.

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

Map

 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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