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Global Flood Forecasting for Averting Disasters Worldwide

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Global Flood Forecasting for Averting Disasters Worldwide. / Hirpa, F. A.; Pappenberger, Florian; Arnal, L. et al.
In: Geophysical Monograph Series, Vol. 233, 2018, p. 205-228.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Hirpa, FA, Pappenberger, F, Arnal, L, Baugh, CA, Cloke, HL, Dutra, E, Emerton, RE, Revilla-romero, B, Salamon, P, Smith, PJ, Stephens, E, Wetterhall, F, Zsoter, E & Thielen-Del Pozo, J 2018, 'Global Flood Forecasting for Averting Disasters Worldwide', Geophysical Monograph Series, vol. 233, pp. 205-228. https://doi.org/10.1002/9781119217886.ch12

APA

Hirpa, F. A., Pappenberger, F., Arnal, L., Baugh, C. A., Cloke, H. L., Dutra, E., Emerton, R. E., Revilla-romero, B., Salamon, P., Smith, P. J., Stephens, E., Wetterhall, F., Zsoter, E., & Thielen-Del Pozo, J. (2018). Global Flood Forecasting for Averting Disasters Worldwide. Geophysical Monograph Series, 233, 205-228. https://doi.org/10.1002/9781119217886.ch12

Vancouver

Hirpa FA, Pappenberger F, Arnal L, Baugh CA, Cloke HL, Dutra E et al. Global Flood Forecasting for Averting Disasters Worldwide. Geophysical Monograph Series. 2018;233:205-228. doi: 10.1002/9781119217886.ch12

Author

Hirpa, F. A. ; Pappenberger, Florian ; Arnal, L. et al. / Global Flood Forecasting for Averting Disasters Worldwide. In: Geophysical Monograph Series. 2018 ; Vol. 233. pp. 205-228.

Bibtex

@article{9660cc24c94342fea1f4bbee2769c565,
title = "Global Flood Forecasting for Averting Disasters Worldwide",
abstract = "Globally, floods are responsible for more than half of the total people affected by all weather-related disasters combined, causing a large number of deaths and significant economic losses. Global-scale flood forecasting systems play a key role in disaster risk reduction: they provide early flood information for several nations who are without local flood early warning systems and function as added value information for national services with their own early warning systems. Global flood forecasting is increasingly becoming attractive due to complete worldwide coverage and improving forecast skills. In this chapter, we present the recent advances in large-scale flood forecasting with a focus on already existing global and continental flood forecasting systems in operation. We also review different scientific methodologies in practice for evaluating and improving the forecast skill such as evaluation methods, precipitation bias corrections, multimodel approaches, and data assimilation. Additionally, we discuss how flood forecast information is used for supporting everyday operations of a humanitarian initiative. We also highlight the remaining challenges of improving the forecast provisions to meet end-users{\textquoteright} expectations.",
author = "Hirpa, {F. A.} and Florian Pappenberger and L. Arnal and Baugh, {C. A.} and Cloke, {H. L.} and E. Dutra and Emerton, {R. E.} and B. Revilla-romero and Peter Salamon and Smith, {P. J.} and E. Stephens and F. Wetterhall and E. Zsoter and {Thielen-Del Pozo}, J.",
year = "2018",
doi = "10.1002/9781119217886.ch12",
language = "English",
volume = "233",
pages = "205--228",
journal = "Geophysical Monograph Series",
issn = "0065-8448",
publisher = "Wiley-Blackwell Publishing Ltd",

}

RIS

TY - JOUR

T1 - Global Flood Forecasting for Averting Disasters Worldwide

AU - Hirpa, F. A.

AU - Pappenberger, Florian

AU - Arnal, L.

AU - Baugh, C. A.

AU - Cloke, H. L.

AU - Dutra, E.

AU - Emerton, R. E.

AU - Revilla-romero, B.

AU - Salamon, Peter

AU - Smith, P. J.

AU - Stephens, E.

AU - Wetterhall, F.

AU - Zsoter, E.

AU - Thielen-Del Pozo, J.

PY - 2018

Y1 - 2018

N2 - Globally, floods are responsible for more than half of the total people affected by all weather-related disasters combined, causing a large number of deaths and significant economic losses. Global-scale flood forecasting systems play a key role in disaster risk reduction: they provide early flood information for several nations who are without local flood early warning systems and function as added value information for national services with their own early warning systems. Global flood forecasting is increasingly becoming attractive due to complete worldwide coverage and improving forecast skills. In this chapter, we present the recent advances in large-scale flood forecasting with a focus on already existing global and continental flood forecasting systems in operation. We also review different scientific methodologies in practice for evaluating and improving the forecast skill such as evaluation methods, precipitation bias corrections, multimodel approaches, and data assimilation. Additionally, we discuss how flood forecast information is used for supporting everyday operations of a humanitarian initiative. We also highlight the remaining challenges of improving the forecast provisions to meet end-users’ expectations.

AB - Globally, floods are responsible for more than half of the total people affected by all weather-related disasters combined, causing a large number of deaths and significant economic losses. Global-scale flood forecasting systems play a key role in disaster risk reduction: they provide early flood information for several nations who are without local flood early warning systems and function as added value information for national services with their own early warning systems. Global flood forecasting is increasingly becoming attractive due to complete worldwide coverage and improving forecast skills. In this chapter, we present the recent advances in large-scale flood forecasting with a focus on already existing global and continental flood forecasting systems in operation. We also review different scientific methodologies in practice for evaluating and improving the forecast skill such as evaluation methods, precipitation bias corrections, multimodel approaches, and data assimilation. Additionally, we discuss how flood forecast information is used for supporting everyday operations of a humanitarian initiative. We also highlight the remaining challenges of improving the forecast provisions to meet end-users’ expectations.

U2 - 10.1002/9781119217886.ch12

DO - 10.1002/9781119217886.ch12

M3 - Journal article

AN - SCOPUS:85091737611

VL - 233

SP - 205

EP - 228

JO - Geophysical Monograph Series

JF - Geophysical Monograph Series

SN - 0065-8448

ER -