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Integrating Ground-based Observations and Radar Data Into Gridding Sub-daily Precipitation

Author

Listed:
  • Alexandru Dumitrescu

    (Meteo Romania (National Meteorological Administration))

  • Marek Brabec

    (Institute of Computer Science of the Czech Academy of Sciences)

  • Marius Matreata

    (National Hydrological Forecast Center)

Abstract

A new and general approach is proposed for interpolating 6-h precipitation series over large spatial areas. The outputs are useful for distributed hydrological modelling and studies of flooding. We apply our approach to large-scale data, measured between 2014 and 2016 at 159 weather stations network of Meteo Romania, using weather radar information and local topography as ancillary data. Novelty of our approach is in systematic development of a statistical model underlying the interpolation. Seven methods have been tested for the interpolation of the 6-h precipitation measurements: four regression methods (linear regression via ordinary least squares (OLS), with and without logarithmic transformation, and two models of generalized additive model (GAM) class, with logarithmic and identity links), and three regression-kriging models (one uses semivariogram fitted separately every 6-h, based on the residuals of the GAM with identity links models, and other two with pooled semivariograms, based on the OLS and GAM with identity links models). The prediction accuracy of the spatial interpolation methods was evaluated on a part of the dataset not used in the model-fitting stage. Due to the good results in interpolating sub-daily precipitation, normal general additive model with identity link followed with kriging of residuals with kriging parameters estimated from pooled semivariograms was applied to construct the final 6-h precipitation maps (PRK-NGAM). The final results of this work are the 6-h precipitation gridded datasets available in high spatial resolution (1000 m × 1000 m), together with their estimated accuracy.

Suggested Citation

  • Alexandru Dumitrescu & Marek Brabec & Marius Matreata, 2020. "Integrating Ground-based Observations and Radar Data Into Gridding Sub-daily Precipitation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(11), pages 3479-3497, September.
  • Handle: RePEc:spr:waterr:v:34:y:2020:i:11:d:10.1007_s11269-020-02622-4
    DOI: 10.1007/s11269-020-02622-4
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    References listed on IDEAS

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    1. Manohar Arora & Pratap Singh & N. Goel & R. Singh, 2006. "Spatial Distribution and Seasonal Variability of Rainfall in a Mountainous Basin in the Himalayan Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(4), pages 489-508, August.
    2. Alexandru Dumitrescu & Marius-Victor Birsan, 2015. "ROCADA: a gridded daily climatic dataset over Romania (1961–2013) for nine meteorological variables," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(2), pages 1045-1063, September.
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    1. Runxi Li & Chengshuai Liu & Yehai Tang & Chaojie Niu & Yang Fan & Qingyuan Luo & Caihong Hu, 2024. "Study on Runoff Simulation with Multi-source Precipitation Information Fusion Based on Multi-model Ensemble," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(15), pages 6139-6155, December.

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