Home > Research > Publications & Outputs > Hydrological Challenges in Meteorological Post-...

Research

Links

Text available via DOI:

Keywords

View graph of relations

Hydrological Challenges in Meteorological Post-processing

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Published

Standard

Hydrological Challenges in Meteorological Post-processing. / Wetterhall, Fredrik; Smith, Paul.
Handbook of Hydrometeorological Ensemble Forecasting. Berlin: Springer, 2019. p. 239-253.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Wetterhall, F & Smith, P 2019, Hydrological Challenges in Meteorological Post-processing. in Handbook of Hydrometeorological Ensemble Forecasting. Springer, Berlin, pp. 239-253. https://doi.org/10.1007/978-3-642-39925-1_15

APA

Wetterhall, F., & Smith, P. (2019). Hydrological Challenges in Meteorological Post-processing. In Handbook of Hydrometeorological Ensemble Forecasting (pp. 239-253). Springer. https://doi.org/10.1007/978-3-642-39925-1_15

Vancouver

Wetterhall F, Smith P. Hydrological Challenges in Meteorological Post-processing. In Handbook of Hydrometeorological Ensemble Forecasting. Berlin: Springer. 2019. p. 239-253 doi: 10.1007/978-3-642-39925-1_15

Author

Wetterhall, Fredrik ; Smith, Paul. / Hydrological Challenges in Meteorological Post-processing. Handbook of Hydrometeorological Ensemble Forecasting. Berlin : Springer, 2019. pp. 239-253

Bibtex

@inbook{4c4bc8c3569c4760af31f23d8b20e22c,
title = "Hydrological Challenges in Meteorological Post-processing",
abstract = "Uncertainties in the hydrometeorological forecasting chain derive from a large number of sources and are inherent to any system. One source of uncertainty is the discrepancy between the meteorological forecasts and the weather which subsequently occurs. Post-processing meteorological forecasts can reduce this discrepancy by removing systematic errors and produce more reliable, corrected forecasts. However, when the corrected NWP output is used in hydrological applications, problems may occur where consistency and correlation between meteorological variables have not been maintained. Therefore a correction that improves the forecast performance of one or more NWP outputs does not necessarily have a positive influence on the hydrological model forecasts. In this chapter the most important needs of the hydrological community in terms of meteorological post-processing are presented. The most commonly used techniques for post-processing are presented along with the pros, cons, and pitfalls in terms of their usage in hydrological applications. Finally, a few important areas of future research are identified.",
keywords = "Correlation, Forecasting, Hydrology, Interpolation, Meteorology, Model output, Post-processing, Stationarity, Statistics, Uncertainty, User needs",
author = "Fredrik Wetterhall and Paul Smith",
year = "2019",
month = jan,
day = "1",
doi = "10.1007/978-3-642-39925-1_15",
language = "English",
isbn = "9783642399244",
pages = "239--253",
booktitle = "Handbook of Hydrometeorological Ensemble Forecasting",
publisher = "Springer",

}

RIS

TY - CHAP

T1 - Hydrological Challenges in Meteorological Post-processing

AU - Wetterhall, Fredrik

AU - Smith, Paul

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Uncertainties in the hydrometeorological forecasting chain derive from a large number of sources and are inherent to any system. One source of uncertainty is the discrepancy between the meteorological forecasts and the weather which subsequently occurs. Post-processing meteorological forecasts can reduce this discrepancy by removing systematic errors and produce more reliable, corrected forecasts. However, when the corrected NWP output is used in hydrological applications, problems may occur where consistency and correlation between meteorological variables have not been maintained. Therefore a correction that improves the forecast performance of one or more NWP outputs does not necessarily have a positive influence on the hydrological model forecasts. In this chapter the most important needs of the hydrological community in terms of meteorological post-processing are presented. The most commonly used techniques for post-processing are presented along with the pros, cons, and pitfalls in terms of their usage in hydrological applications. Finally, a few important areas of future research are identified.

AB - Uncertainties in the hydrometeorological forecasting chain derive from a large number of sources and are inherent to any system. One source of uncertainty is the discrepancy between the meteorological forecasts and the weather which subsequently occurs. Post-processing meteorological forecasts can reduce this discrepancy by removing systematic errors and produce more reliable, corrected forecasts. However, when the corrected NWP output is used in hydrological applications, problems may occur where consistency and correlation between meteorological variables have not been maintained. Therefore a correction that improves the forecast performance of one or more NWP outputs does not necessarily have a positive influence on the hydrological model forecasts. In this chapter the most important needs of the hydrological community in terms of meteorological post-processing are presented. The most commonly used techniques for post-processing are presented along with the pros, cons, and pitfalls in terms of their usage in hydrological applications. Finally, a few important areas of future research are identified.

KW - Correlation

KW - Forecasting

KW - Hydrology

KW - Interpolation

KW - Meteorology

KW - Model output

KW - Post-processing

KW - Stationarity

KW - Statistics

KW - Uncertainty

KW - User needs

U2 - 10.1007/978-3-642-39925-1_15

DO - 10.1007/978-3-642-39925-1_15

M3 - Chapter

AN - SCOPUS:85107783967

SN - 9783642399244

SP - 239

EP - 253

BT - Handbook of Hydrometeorological Ensemble Forecasting

PB - Springer

CY - Berlin

ER -