How Does the Evaluation of the GPM IMERG Rainfall Product Depend on Gauge Density and Rainfall Intensity?

This study investigates the dependency of the evaluation of the Integrated Multisatellite Retrievals for Global Precipitation Measurement (IMERG) rainfall product on the gauge density of a ground-based rain gauge network as well as rainfall intensity over five subregions in mainland China. High-dens...

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Published in:Journal of hydrometeorology 2018-02, Vol.19 (2), p.339-349
Main Authors: Tian, Fuqiang, Hou, Shiyu, Yang, Long, Hu, Hongchang, Hou, Aizhong
Format: Article
Language:English
Subjects:
Atmospheric precipitations
Density
Dependence
Detection
Evaluation
Gauges
Global precipitation
Heavy rainfall
Hydraulic engineering
Hydrology
Laboratories
Precipitation
Probability theory
Rain
Rain gauges
Rainfall
Rainfall intensity
Satellites
Studies
Warm seasons
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cited_by cdi_FETCH-LOGICAL-c332t-493f32fd76f1062aa48bed67294613c7cf2cd9a9c6286617a59df5a61f59c7693
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container_title Journal of hydrometeorology
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creator Tian, Fuqiang
Hou, Shiyu
Yang, Long
Hu, Hongchang
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description This study investigates the dependency of the evaluation of the Integrated Multisatellite Retrievals for Global Precipitation Measurement (IMERG) rainfall product on the gauge density of a ground-based rain gauge network as well as rainfall intensity over five subregions in mainland China. High-density rain gauges (1.5 gauges per 100 km²) provide exceptional resources for ground validation of satellite rainfall estimates over this region. Eight different gauge networks were derived with contrasting gauge densities ranging from 0.04 to 4 gauges per 100 km². The evaluation focuses on two warm seasons (April–October) during 2014 and 2015. The results show a strong dependency of the evaluation metrics for the IMERG rainfall product on gauge density and rainfall intensity. A dense rain gauge network tends to provide better evaluation metrics, which implies that previous evaluations of the IMERG rainfall product based on a relatively low-density gauge network might have underestimated its performance. The decreasing trends of probability of detection with gauge density indicate a limited ability to capture light rainfall events in the IMERG rainfall product. However, IMERG tends to overestimate (underestimate) light (heavy) rainfall events, which is a consistent feature that does not show strong dependency on gauge densities. The results provide valuable insights for the improvement of a rainfall retrieval algorithm adopted in the IMERG rainfall product.
doi_str_mv 10.1175/JHM-D-17-0161.1
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subjects Atmospheric precipitations
Density
Dependence
Detection
Evaluation
Gauges
Global precipitation
Heavy rainfall
Hydraulic engineering
Hydrology
Laboratories
Precipitation
Probability theory
Rain
Rain gauges
Rainfall
Rainfall intensity
Satellites
Studies
Warm seasons
title How Does the Evaluation of the GPM IMERG Rainfall Product Depend on Gauge Density and Rainfall Intensity?
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