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.

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

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.)

NSTree (2020)

Understanding substrate delivery for cell wall biosynthesis in plants

Read More  

MetEpiC (2020)

P53-dependent Metabolic and Epigenetic Reprogramming in Carcinogenesis

Read More  

EVERPHOT (2020)

Molecular mechanisms of photoprotection in plants.

Read More