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Reversing hydrology: estimation of sub-hourly rainfall time-series from streamflow

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

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Reversing hydrology: estimation of sub-hourly rainfall time-series from streamflow. / Kretzschmar, Ann; Tych, Wlodek; Chappell, Nick A.
In: Environmental Modelling and Software, Vol. 60, 10.2014, p. 290-301.

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

Harvard

Kretzschmar, A, Tych, W & Chappell, NA 2014, 'Reversing hydrology: estimation of sub-hourly rainfall time-series from streamflow', Environmental Modelling and Software, vol. 60, pp. 290-301. https://doi.org/10.1016/j.envsoft.2014.06.017

APA

Kretzschmar, A., Tych, W., & Chappell, N. A. (2014). Reversing hydrology: estimation of sub-hourly rainfall time-series from streamflow. Environmental Modelling and Software, 60, 290-301. https://doi.org/10.1016/j.envsoft.2014.06.017

Vancouver

Kretzschmar A, Tych W, Chappell NA. Reversing hydrology: estimation of sub-hourly rainfall time-series from streamflow. Environmental Modelling and Software. 2014 Oct;60:290-301. Epub 2014 Jul 12. doi: 10.1016/j.envsoft.2014.06.017

Author

Kretzschmar, Ann ; Tych, Wlodek ; Chappell, Nick A. / Reversing hydrology : estimation of sub-hourly rainfall time-series from streamflow. In: Environmental Modelling and Software. 2014 ; Vol. 60. pp. 290-301.

Bibtex

@article{fe23df7a128646de8c0dd819821b5335,
title = "Reversing hydrology: estimation of sub-hourly rainfall time-series from streamflow",
abstract = "A novel solution to the estimation of catchment rainfall at a sub-hourly resolution from measured streamflow is introduced and evaluated for two basins with markedly different flow pathways and rainfall regimes. It combines a continuous-time transfer function model with regularised derivative estimates obtained using a recursive method with capacity for handling missing data. The method has general implications for off-line estimation of unknown inputs as well as robust estimation of derivatives. It is compared with an existing approach using a range of model metrics, including residuals analysis and visuals; and is shown to recover the salient features of the observed, sub-hourly rainfall, sufficient to produce a precise estimate of streamflow, indistinguishable from the output of the catchment model in response to the observed rainfall data. Results indicate potential for use of this method in environment-related applications for periods lacking sub-hourly rainfall observations.",
keywords = "Hydrology, Inverse modelling, Transfer function, Regularization, Input estimation, Derivative estimation, Hydrograph, Hyetograph, Data- Based Mechanistic Modelling",
author = "Ann Kretzschmar and Wlodek Tych and Chappell, {Nick A}",
year = "2014",
month = oct,
doi = "10.1016/j.envsoft.2014.06.017",
language = "English",
volume = "60",
pages = "290--301",
journal = "Environmental Modelling and Software",
issn = "1364-8152",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - Reversing hydrology

T2 - estimation of sub-hourly rainfall time-series from streamflow

AU - Kretzschmar, Ann

AU - Tych, Wlodek

AU - Chappell, Nick A

PY - 2014/10

Y1 - 2014/10

N2 - A novel solution to the estimation of catchment rainfall at a sub-hourly resolution from measured streamflow is introduced and evaluated for two basins with markedly different flow pathways and rainfall regimes. It combines a continuous-time transfer function model with regularised derivative estimates obtained using a recursive method with capacity for handling missing data. The method has general implications for off-line estimation of unknown inputs as well as robust estimation of derivatives. It is compared with an existing approach using a range of model metrics, including residuals analysis and visuals; and is shown to recover the salient features of the observed, sub-hourly rainfall, sufficient to produce a precise estimate of streamflow, indistinguishable from the output of the catchment model in response to the observed rainfall data. Results indicate potential for use of this method in environment-related applications for periods lacking sub-hourly rainfall observations.

AB - A novel solution to the estimation of catchment rainfall at a sub-hourly resolution from measured streamflow is introduced and evaluated for two basins with markedly different flow pathways and rainfall regimes. It combines a continuous-time transfer function model with regularised derivative estimates obtained using a recursive method with capacity for handling missing data. The method has general implications for off-line estimation of unknown inputs as well as robust estimation of derivatives. It is compared with an existing approach using a range of model metrics, including residuals analysis and visuals; and is shown to recover the salient features of the observed, sub-hourly rainfall, sufficient to produce a precise estimate of streamflow, indistinguishable from the output of the catchment model in response to the observed rainfall data. Results indicate potential for use of this method in environment-related applications for periods lacking sub-hourly rainfall observations.

KW - Hydrology

KW - Inverse modelling

KW - Transfer function

KW - Regularization

KW - Input estimation

KW - Derivative estimation

KW - Hydrograph

KW - Hyetograph

KW - Data- Based Mechanistic Modelling

U2 - 10.1016/j.envsoft.2014.06.017

DO - 10.1016/j.envsoft.2014.06.017

M3 - Journal article

VL - 60

SP - 290

EP - 301

JO - Environmental Modelling and Software

JF - Environmental Modelling and Software

SN - 1364-8152

ER -