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Discussion papers
https://doi.org/10.5194/essd-2018-150
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2018-150
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  02 Jan 2019

02 Jan 2019

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This discussion paper is a preprint. A revision of the manuscript is under review for the journal Earth System Science Data (ESSD).

WHU-SGCC: A novel approach for blending daily satellite (CHIRP) and precipitation observations over Jinsha River Basin

Gaoyun Shen1, Nengcheng Chen1,2, Wei Wang1,2, and Zeqiang Chen1,2 Gaoyun Shen et al.
  • 1State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
  • 2Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China

Abstract. Accurate and consistent satellite-based precipitation estimates blended with rain gauge data are important for regional precipitation monitoring and hydrological applications, especially in regions with limited rain gauges. However, existing fusion precipitation estimates often have large uncertainties over mountainous areas with complex topography and sparse rain gauges, and the existing data blending algorithms are very bad at removing the day-by-day random errors. Therefore, the development of effective methods for high-accuracy precipitation estimates over complex terrain and on a daily scale is of vital importance for mountainous hydrological applications. This study aims to offer a novel approach for blending daily precipitation gauge data, gridded precipitation data and the Climate Hazards Group Infrared Precipitation (CHIRP, daily, 0.05°) satellite-derived precipitation estimates over the Jinsha River Basin for the period of June–July–August in 2016. This method is named the Wuhan University Satellite and Gauge precipitation Collaborated Correction (WHU-SGCC). The results show that the WHU-SGCC method is effective in precipitation bias adjustments from point to surface, which is evaluated by categorical indices. Moreover, the accuracy of the spatial distribution of the precipitation estimates derived from the WHU-SGCC method is related to the complexity of the topography. The validation also verifies that the proposed approach is effective in the detection of precipitation events that are less than 20 mm. This study indicates that the WHU-SGCC approach is a promising tool to monitor monsoon precipitation over Jinsha River Basin, the complicated mountainous terrain with sparse rain gauge data, considering the spatial correlation and the historical precipitation characteristics. The daily precipitation estimations at 0.05° resolution over Jinsha River Basin in summer 2016, derived from WHU-SGCC are available at the PANGAEA Data Publisher for Earth & Environmental Science portal (https://doi.pangaea.de/10.1594/PANGAEA.896615).

Gaoyun Shen et al.
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Gaoyun Shen et al.
Data sets

High-resolution daily precipitation estimation data derived from Wuhan University Satellite and Gauge precipitation Collaborated Correction method (WHU-SGCC) in TIFF format G. Shen, N. Chen, W. Wang, and Z. Chen https://doi.pangaea.de/10.1594/PANGAEA.896615

Gaoyun Shen et al.
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Short summary
The development of effective methods for high-accuracy precipitation estimates over complex terrain and on a daily scale is important for mountainous hydrological applications. This study offers a novel approach called WHU-SGCC by blending rain gauged and satellite data, to estimate daily precipitation at 0.05° resolution over Jinsha River Basin, the complicated mountainous terrain with sparse rain gauge data, considering the spatial correlation and the historical precipitation characteristics.
The development of effective methods for high-accuracy precipitation estimates over complex...
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