Seasonal and long-term prediction of low flows in the Rhine basin

C.D. Erdbrink (Editor), M.C. Demirel, A.G. van Os (Editor), Martijn J. Booij, Arjen Ysbert Hoekstra

Research output: Contribution to conferencePaperAcademic

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Abstract

The aim of this paper is to give information about a new project on the Rhine River. In this project we intent to identify appropriate low flow prediction models for the seasonal and long term by comparing uncertainties in low flows predicted by different pre-selected models.
Original languageUndefined
Pages54-55
Publication statusPublished - 20 Nov 2008

Keywords

  • METIS-255246
  • IR-67892

Cite this

Erdbrink, C. D. (Ed.), Demirel, M. C., van Os, A. G. (Ed.), Booij, M. J., & Hoekstra, A. Y. (2008). Seasonal and long-term prediction of low flows in the Rhine basin. 54-55.
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keywords = "METIS-255246, IR-67892",
author = "C.D. Erdbrink and M.C. Demirel and {van Os}, A.G. and Booij, {Martijn J.} and Hoekstra, {Arjen Ysbert}",
year = "2008",
month = "11",
day = "20",
language = "Undefined",
pages = "54--55",

}

Erdbrink, CD (ed.), Demirel, MC, van Os, AG (ed.), Booij, MJ & Hoekstra, AY 2008, 'Seasonal and long-term prediction of low flows in the Rhine basin' pp. 54-55.

Seasonal and long-term prediction of low flows in the Rhine basin. / Erdbrink, C.D. (Editor); Demirel, M.C.; van Os, A.G. (Editor); Booij, Martijn J.; Hoekstra, Arjen Ysbert.

2008. 54-55.

Research output: Contribution to conferencePaperAcademic

TY - CONF

T1 - Seasonal and long-term prediction of low flows in the Rhine basin

AU - Demirel, M.C.

AU - Booij, Martijn J.

AU - Hoekstra, Arjen Ysbert

A2 - Erdbrink, C.D.

A2 - van Os, A.G.

PY - 2008/11/20

Y1 - 2008/11/20

N2 - The aim of this paper is to give information about a new project on the Rhine River. In this project we intent to identify appropriate low flow prediction models for the seasonal and long term by comparing uncertainties in low flows predicted by different pre-selected models.

AB - The aim of this paper is to give information about a new project on the Rhine River. In this project we intent to identify appropriate low flow prediction models for the seasonal and long term by comparing uncertainties in low flows predicted by different pre-selected models.

KW - METIS-255246

KW - IR-67892

M3 - Paper

SP - 54

EP - 55

ER -