Estimation of catchment rainfall uncertainty and its influence on runoff prediction

B. Storm; K. Høgh Jensen; J.C. Refsgaard

doi:10.2166/nh.1988.0006

Estimation of catchment rainfall uncertainty and its influence on runoff prediction

B. Storm
, K. Høgh Jensen
, J.C. Refsgaard

Research output: Contribution to journal › Article › Research › peer-review

23 Citations (Scopus)

Abstract

Interpolation of spatially varying point precipitation depths introduces uncertainties in the estimated mean areal precipitation (MAP). This paper describes a geostatistical approach - the Kriging method - to calculate the daily MAP on real-time basis. The procedure provides a linear unbiased estimate with minimum estimation variance. The structural analysis of the random precipitation field is automatized by relating the time-varying semivariogram model to the sample variance. This is illustrated on data from a Danish IHD catchment. The conceptual rainfall-runoff model NAM incorporated into a Kalman-filter algorithm is applied to investigate the effects of uncertainties in MAP on the runoff predictions. Measurement and processing errors are not included in the investigation. -Authors

Original language	English
Pages (from-to)	77-88
Number of pages	12
Journal	Nordic Hydrology
Volume	19
Issue number	2
DOIs	https://doi.org/10.2166/nh.1988.0006
Publication status	Published - Apr 1988
Externally published	Yes

Programme Area

Programme Area 2: Water Resources

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10.2166/nh.1988.0006Licence: Unspecified

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abstract = "Interpolation of spatially varying point precipitation depths introduces uncertainties in the estimated mean areal precipitation (MAP). This paper describes a geostatistical approach - the Kriging method - to calculate the daily MAP on real-time basis. The procedure provides a linear unbiased estimate with minimum estimation variance. The structural analysis of the random precipitation field is automatized by relating the time-varying semivariogram model to the sample variance. This is illustrated on data from a Danish IHD catchment. The conceptual rainfall-runoff model NAM incorporated into a Kalman-filter algorithm is applied to investigate the effects of uncertainties in MAP on the runoff predictions. Measurement and processing errors are not included in the investigation. -Authors",

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year = "1988",

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T1 - Estimation of catchment rainfall uncertainty and its influence on runoff prediction

AU - Storm, B.

AU - Jensen, K. Høgh

AU - Refsgaard, J.C.

PY - 1988/4

Y1 - 1988/4

N2 - Interpolation of spatially varying point precipitation depths introduces uncertainties in the estimated mean areal precipitation (MAP). This paper describes a geostatistical approach - the Kriging method - to calculate the daily MAP on real-time basis. The procedure provides a linear unbiased estimate with minimum estimation variance. The structural analysis of the random precipitation field is automatized by relating the time-varying semivariogram model to the sample variance. This is illustrated on data from a Danish IHD catchment. The conceptual rainfall-runoff model NAM incorporated into a Kalman-filter algorithm is applied to investigate the effects of uncertainties in MAP on the runoff predictions. Measurement and processing errors are not included in the investigation. -Authors

AB - Interpolation of spatially varying point precipitation depths introduces uncertainties in the estimated mean areal precipitation (MAP). This paper describes a geostatistical approach - the Kriging method - to calculate the daily MAP on real-time basis. The procedure provides a linear unbiased estimate with minimum estimation variance. The structural analysis of the random precipitation field is automatized by relating the time-varying semivariogram model to the sample variance. This is illustrated on data from a Danish IHD catchment. The conceptual rainfall-runoff model NAM incorporated into a Kalman-filter algorithm is applied to investigate the effects of uncertainties in MAP on the runoff predictions. Measurement and processing errors are not included in the investigation. -Authors

UR - https://www.scopus.com/pages/publications/0024165318

U2 - 10.2166/nh.1988.0006

DO - 10.2166/nh.1988.0006

M3 - Article

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SN - 0029-1277

VL - 19

SP - 77

EP - 88

JO - Nordic Hydrology

JF - Nordic Hydrology

IS - 2

ER -

Estimation of catchment rainfall uncertainty and its influence on runoff prediction

Abstract

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