JRC Data Catalogue
DATASETCompleted

Hazards: floods, drought and water resources

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XXI century projections of river-related hazards (floods, droughts, water resources) at European scale, used in the PESETA IV project.

Contributors

How to cite

Mentaschi, Lorenzo; Alfieri, Lorenzo; Dottori, Francesco; Cammalleri, Carmelo; Bisselink, Berny; De Roo, Ad; Feyen, Luc (2026): Hazards: floods, drought and water resources. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.WCFS81G PID: http://data.europa.eu/89h/20247f06-469c-4607-8af1-a5a670082471

Data access

NetCDF

NetCDF is a set of software libraries and self-describing, machine-independent data formats that support the creation, access and sharing of array-oriented scientific data.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • Future projections of low extremes of river runoff (7-day moving average) at global warming levels (1.5°C, 2.0°, 3.0°, 4.0°). Below, a list of the fields included in the files:

    - laea: empty variable containing the projection (Lambert azimuthal equal area) parameters.

    - x, y: coordinates in Lambert azimuthal equal area.

    - lon, lat: matrices containing the lon-lat coordinates of the pixels.

    - baseline_return_level: magnitude of the baseline 15-year event (year 1995).

    - return_level_prec_chng_XX: percentage changes in magnitude of the 15-year event, at warming level XX°C.

    - baseline_rp_shift_XX: return period at wariming level XX°C, of the event with the same mangitude as the baseline 15-year one. This variable is a proxy for the change in frequency.

    - significant_XX: significance of the XX°C projected change. 1: significant, 0: not significant.

NetCDF

NetCDF is a set of software libraries and self-describing, machine-independent data formats that support the creation, access and sharing of array-oriented scientific data.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • Future projections of annual mean river runoff at global warming levels (1.5°C, 2.0°, 3.0°, 4.0°). Below, a list of the fields included in the files:

    - laea: empty variable containing the projection (Lambert azimuthal equal area) parameters.

    - x, y: coordinates in Lambert azimuthal equal area.

    - lon, lat: matrices containing the lon-lat coordinates of the pixels.

    - baseline_median: magnitude of the baseline annual mean river runoff (year 1995).

    - median_prec_chng_XX: percentage changes in magnitude of the annual mean river runoff, at warming level XX°C.

    - significant_XX: significance of the XX°C projected change. 1: significant, 0: not significant.

NetCDF

NetCDF is a set of software libraries and self-describing, machine-independent data formats that support the creation, access and sharing of array-oriented scientific data.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • Future projections of high extremes of river runoff at global warming levels (1.5°C, 2.0°, 3.0°, 4.0°). Below, a list of the fields included in the files:

    - laea: empty variable containing the projection (Lambert azimuthal equal area) parameters.

    - x, y: coordinates in Lambert azimuthal equal area.

    - lon, lat: matrices containing the lon-lat coordinates of the pixels.

    - baseline_return_level: magnitude of the baseline 100-year event (year 1995).

    - return_level_prec_chng_XX: percentage changes in magnitude of the 100-year event, at warming level XX°C.

    - baseline_rp_shift_XX: return period at wariming level XX°C, of the event with the same mangitude as the baseline 100-year one. This variable is a proxy for the change in frequency.

    - significant_XX: significance of the XX°C projected change. 1: significant, 0: not significant.

Publications

Publication
Mentaschi, L., Alfieri, L., Dottori, F., Cammalleri, C., Bisselink, B., De Roo, A. and Feyen, L., Independence of future changes of river runoff in Europe from the pathway to global warming, CLIMATE, 2020, ISSN 2225-1154 (online), 8 (2), p. 22, JRC119163.
MDPI, BASEL, SWITZERLAND
  • The outcomes of the 2015 Paris Agreement triggered a number of climate impact assessments, such as for floods and droughts, to focus on future time frames corresponding to the years of reaching specific levels of global warming. Yet, the links between the timing of the warming levels and the corresponding greenhouse gas concentration pathways to reach them, remain poorly understood. To address this gap, we compare projected changes of annual mean, extreme high and extreme low river discharges in Europe at 1.5° and 2° under scenarios RCP8.5 and RCP4.5 from an ensemble of Regional Climate Model (RCM) simulations. The statistical significance of the difference between the two scenarios for both warming levels is then evaluated. Results show that in the majority of Europe (>95% for the annual mean discharge, >98% for high and low extremes), the changes projected in the two pathways are statistically indistinguishable. These results suggest that in studies of changes at specific warming levels the projections of the two pathways can be merged into a single ensemble without major loss of information. With regard to the uncertainty of the unified ensemble, findings show that the projected changes of annual mean, extreme high and extreme low river discharge are statistically significant in large portions of Europe.

Publication
Mentaschi, L., Alfieri, L., Dottori, F., Cammalleri, C., Bisselink, B., Roo, A. D., & Feyen, L. (2020). Independence of future changes of river runoff in Europe from the pathway to global warming. Climate, 8(2), 22.

Spatial coverage

Temporal coverage

From date To date
1981-01-01 2100-12-31

Additional information

Published by
European Commission, Joint Research Centre
Contact email
Lorenzo.MENTASCHI (at) ec.europa.eu
Update frequency
unknown

The event occurs with unknown regularity.

Data theme(s)
Environment

dataset theme covering the domain of environment, defined as the interaction of all living species, climate, weather, and natural resources that impact human survival and economic activity

Issued date
2020-01-01
Created date
28 Sep 2020 15:07
Modified date
27 May 2021 05:54
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Dataset identifier
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