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HiFreq SIGNED

Smart high-frequency environmental sensor networks for quantifying nonlinear hydrological process dynamics across spatial scales

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 HiFreq project word cloud

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

tools    global    strategies    environmental    frequency    prediction    resolution    responses    temporal    spatial    monitoring   

Project "HiFreq" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF BIRMINGHAM 

Organization address
address: Edgbaston
city: BIRMINGHAM
postcode: B15 2TT
website: www.bham.ac.uk

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 United Kingdom [UK]
 Total cost 2˙335˙500 €
 EC max contribution 2˙115˙000 € (91%)
 Programme 1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge)
 Code Call H2020-MSCA-RISE-2016
 Funding Scheme /MSCA-RISE
 Starting year 2016
 Duration (year-month-day) from 2016-12-01   to  2020-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF BIRMINGHAM UK (BIRMINGHAM) coordinator 454˙500.00
2    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) participant 283˙500.00
3    SVERIGES LANTBRUKSUNIVERSITET SE (UPPSALA) participant 279˙000.00
4    FORSCHUNGSVERBUND BERLIN EV DE (BERLIN) participant 220˙500.00
5    AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS ES (MADRID) participant 180˙000.00
6    LUXEMBOURG INSTITUTE OF SCIENCE AND TECHNOLOGY LU (ESCH SUR ALZETTE) participant 148˙500.00
7    SILIXA LTD UK (ELSTREE HERTFORDSHIRE) participant 148˙500.00
8    NATURALEA CONSERVACIO, SL ES (CASTELLAR DEL VALLES) participant 108˙000.00
9    HYDRORESEARCH SAM JOHANSSON AB SE (TABY) participant 85˙500.00
10    UVDYNE LIMITED UK (SALISBURY) participant 54˙000.00
11    RS HYDRO LTD UK (BROMSGROVE) participant 49˙500.00
12    HELMHOLTZ ZENTRUM POTSDAM DEUTSCHESGEOFORSCHUNGSZENTRUM GFZ DE (POTSDAM) participant 40˙500.00
13    EVVOS SA LU (HESPERANGE) participant 27˙000.00
14    ISARDSAT SL ES (Barcelona) participant 18˙000.00
15    SETUR - INGENIERIE - AUDIT - CONSEIL FR (CHARTRES-DE-BRETAGNE) participant 18˙000.00
16    NATIONAL INSTITUTE OF WATER AND ATMOSPHERIC RESEARCH NZ (AUCKLAND) partner 0.00
17    NEW MEXICO INSTITUTE OF MINING AND TECHNOLOGY US (SOCORRO) partner 0.00
18    NORTHWESTERN UNIVERSITY US (EVANSTON, ILLINOIS) partner 0.00
19    Simon Fraser University CA (BURNABY) partner 0.00
20    The Flinders University of South Australia AU (Adelaide) partner 0.00
21    THE GOVERNORS OF THE UNIVERSITY OF ALBERTA UNIVERSITY OF ALBERTA CA (EDMONTON ALBERTA) partner 0.00
22    THE NATIONAL UNIVERSITY CORPORATION SHINSHU UNIVERSITY JP (MATSUMOTO) partner 0.00
23    THE TRUSTEES OF INDIANA UNIVERSITY US (BLOOMINGTON) partner 0.00
24    UNITED STATES GEOLOGICAL SURVEY US (RESTON) partner 0.00

Mappa

 Project objective

Regulators and industries are challenged by the difficulty to analyse and predict the impact of nonlinear environmental processes on short-term and long-term responses of ecosystems to environmental change. Until very recently, the development of most conventional monitoring, forecasting and prediction tools has been based on the assumption of stationary environmental systems. In the context of global change these tools are increasingly pushed towards and even beyond their design limits (the latter resulting in the first line from the prevailing limitations in spatial and temporal resolution of environmental observations).

For this project, we propose a rationale stating that only novel, high-frequency/high-resolution environmental monitoring and predictive modelling will yield new process understanding of ecosystem functioning. Technological progress offers as many opportunities as it triggers challenges: what is needed now are new strategies to generate, manage and analyse BIG DATA at unprecedented spatial and temporal resolution. Innovation can only stand as a synonym for ‘significant positive changes’ if [a] we manage to clearly state the challenges (global change & non-stationarity) and problems (generating and managing high-frequency information) and [b] transform them into solutions, i.e. the quantification and prediction of environmental responses to global change as a prerequisite for designing and implementing adaptation and/or mitigation strategies wherever needed.

The timely outcomes of this research project will hence be of great relevance for the scientific community, regulatory agencies, and the private sector.

 Work performed, outcomes and results:  advancements report(s) 

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

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