Opendata, web and dolomites

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

Views

0

 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.

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

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "CLIRSNOW" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

5G-ACE (2019)

Beyond 5G: 3D Network Modelling for THz-based Ultra-Fast Small Cells

Read More  

MacMeninges (2019)

Control of Central Nervous Sytem inflammation by meningeal macrophages, and its impairment upon aging

Read More  

IMPRESS (2019)

Integrated Modular Power Conversion for Renewable Energy Systems with Storage

Read More