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Improving GSMaP V06 precipitation products over the Upper Tocantins River basin in the Brazilian Cerrado, based on local rain-gauge network

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Abstract

Gridded precipitation products from remote sensing are currently available and could potentially enhance the use of precipitation data in regions with sparse network of ground rain gauges. Thus, this study aimed to evaluate the performance and propose correction models for Global Satellite Mapping of Precipitation (GSMaP) use in the Upper Tocantins River basin, a key area for food and electricity production in central Brazil, but with sparse network of ground rain gauges, challenging water resources and agriculture decision makers. GSMaP data were compared with data from a rain gauge network between 2000 and 2019. Evaluations were made at daily and monthly temporal scales. In general, GSMaP products show an overestimate bias for drizzle (0.1 ~ 1 mm day−1) and underestimate for rainfalls above 10 mm day−1. The use of monthly scale data significantly reduces the bias observed in the daily scale, but with an underestimation trend of -28.3% and -39.7% for the dry and rainy periods, respectively. Categorical indices showed that the GSMaP system had better hit rates for rain detection in the rainy season (October–April) than in the dry season (May–September). For the studied region, the use of GSMaP data on daily and monthly scales should be preceded by a bias analysis as a function of rain gauge network data. The use of bias coefficient corrected observed rainfall data underestimation on daily and monthly scales, improved correlation between GSMaP and observed rainfall data and reduced errors associated with rainfall network data within the basin influence area. The findings of this study indicate how decision makers could adjust and apply GSMaP products to estimate rainfall for water resources, agriculture and drought management challenges in the Upper Tocantins River basin.

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Data availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request. Corresponding author: Rodrigo Pereira, email: rodrigomouracbs@gmail.com.

Code availability

Not applicable.

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Funding

No funding was received for conducting this study.

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Authors and Affiliations

  1. Research Assistant at EMBRAPA–Brazilian Agricultural Research Corporation, Embrapa Cerrados, BR-020, km 18, 08223, Planaltina, DF, 73310-970, Brazil

    Rodrigo Moura Pereira

  2. Researcher at EMBRAPA-Brazilian Agricultural Research Corporation, Embrapa Cerrados, Planaltina, BR, Brazil

    Vinícius Bof Bufon

  3. Research Assistant at EMBRAPA–Brazilian Agricultural Research Corporation, Embrapa Cerrados, Planaltina, Brazil

    Felipe Cardoso Oliveira Maia

Authors
  1. Rodrigo Moura Pereira
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  2. Vinícius Bof Bufon
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  3. Felipe Cardoso Oliveira Maia
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Contributions

Conceptualization: Rodrigo Pereira, Vinícius Bufon, Felipe Maia; Data curation: Rodrigo Pereira, Felipe Maia; Formal analysis: Rodrigo Pereira, Vinícius Bufon; Writing – original draft: Rodrigo Pereira; Writing – review & editing: Rodrigo Pereira, Vinícius Bufon.

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Correspondence to Rodrigo Moura Pereira.

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Pereira, R.M., Bufon, V.B. & Maia, F.C.O. Improving GSMaP V06 precipitation products over the Upper Tocantins River basin in the Brazilian Cerrado, based on local rain-gauge network. Theor Appl Climatol 148, 1249–1260 (2022). https://doi.org/10.1007/s00704-022-03985-x

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