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Recent advances in data-based modelling and analysis of hydrological systems.

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Recent advances in data-based modelling and analysis of hydrological systems. / Young, Peter C.; Jakeman, Anthony J.; Post, David A.
In: Water Science and Technology, Vol. 36, No. 5, 1997, p. 99-116.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Young, PC, Jakeman, AJ & Post, DA 1997, 'Recent advances in data-based modelling and analysis of hydrological systems.', Water Science and Technology, vol. 36, no. 5, pp. 99-116. https://doi.org/10.1016/S0273-1223(97)00465-4

APA

Young, P. C., Jakeman, A. J., & Post, D. A. (1997). Recent advances in data-based modelling and analysis of hydrological systems. Water Science and Technology, 36(5), 99-116. https://doi.org/10.1016/S0273-1223(97)00465-4

Vancouver

Young PC, Jakeman AJ, Post DA. Recent advances in data-based modelling and analysis of hydrological systems. Water Science and Technology. 1997;36(5):99-116. doi: 10.1016/S0273-1223(97)00465-4

Author

Young, Peter C. ; Jakeman, Anthony J. ; Post, David A. / Recent advances in data-based modelling and analysis of hydrological systems. In: Water Science and Technology. 1997 ; Vol. 36, No. 5. pp. 99-116.

Bibtex

@article{3add0f606fd54128acd665a6e256fc2b,
title = "Recent advances in data-based modelling and analysis of hydrological systems.",
abstract = "Hydrological systems present several difficulties for modellers. A data-based approach utilizing objective statistical analysis of output and/or input-output time series behaviour has much to offer, both for understanding of the response dynamics of systems and future hypothesis formulation for improved model structure, as well as good predictive capacity. In this paper, the essential elements and tools of a data-based approach, using an Unobserved Components (UC) model, are presented and illustrated with two examples.",
keywords = "Hydrological systems, unobserved components (UC), econometrics, signal extraction, dynamic harmonic, regression (DHR)",
author = "Young, {Peter C.} and Jakeman, {Anthony J.} and Post, {David A.}",
year = "1997",
doi = "10.1016/S0273-1223(97)00465-4",
language = "English",
volume = "36",
pages = "99--116",
journal = "Water Science and Technology",
issn = "0273-1223",
publisher = "IWA Publishing",
number = "5",

}

RIS

TY - JOUR

T1 - Recent advances in data-based modelling and analysis of hydrological systems.

AU - Young, Peter C.

AU - Jakeman, Anthony J.

AU - Post, David A.

PY - 1997

Y1 - 1997

N2 - Hydrological systems present several difficulties for modellers. A data-based approach utilizing objective statistical analysis of output and/or input-output time series behaviour has much to offer, both for understanding of the response dynamics of systems and future hypothesis formulation for improved model structure, as well as good predictive capacity. In this paper, the essential elements and tools of a data-based approach, using an Unobserved Components (UC) model, are presented and illustrated with two examples.

AB - Hydrological systems present several difficulties for modellers. A data-based approach utilizing objective statistical analysis of output and/or input-output time series behaviour has much to offer, both for understanding of the response dynamics of systems and future hypothesis formulation for improved model structure, as well as good predictive capacity. In this paper, the essential elements and tools of a data-based approach, using an Unobserved Components (UC) model, are presented and illustrated with two examples.

KW - Hydrological systems

KW - unobserved components (UC)

KW - econometrics

KW - signal extraction

KW - dynamic harmonic

KW - regression (DHR)

U2 - 10.1016/S0273-1223(97)00465-4

DO - 10.1016/S0273-1223(97)00465-4

M3 - Journal article

VL - 36

SP - 99

EP - 116

JO - Water Science and Technology

JF - Water Science and Technology

SN - 0273-1223

IS - 5

ER -