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<p>Analyzing long-term precipitation and air temperature trends is essential for socio-economic development and effective management of water resource use in river basins. This study evaluates (i) global grid precipitation data quality from three sources: PERSIANN, MSWEP, and CHIRPS; and (ii) average, minimum, and maximum air temperature from MERRA-2. The assessment was conducted using ground monitoring data over five basins in Northern Vietnam with an area of 600–3,000 km<sup>2</sup>; each basin has at least one meteorological station with data records spanning from 1990 to 2019. The study also assesses the consistency in trends of climatic indices estimated from different global data sources. The results show that MSWEP has the best correlation with gauge stations, and the data quality has improved in recent years. The precipitation trends in August for most basins usually increase with statistical significance. MERRA-2 is often estimated to be lower than the ground measuring station&#xa0;for air temperature&#xa0;in all three factors: average, minimum, and maximum. MERRA-2 has the lowest correlation with the measured temperature when estimating the maximum temperature factor. Most of the monthly observed trend is upward, particularly from May to August. Regarding the uncertainty in trend assessment, we recommend using multiple precipitation and air temperature data and the majority selection method to conclude climate trends for the river basin. The results of this study could provide evidence to assess the suitability of global meteorological data for understanding long-term trends in basins located in areas with limited in-situ meteorological observations.</p>

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Assessing meteorological trends and variabilities in major river basins of Northern Vietnam using global datasets

  • 期刊论文

  • 发表日期：

    2025年2月14日

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  • Binh Quang Nguyen,
  • Manh-Hung Le,
  • Trong Dieu Hien Le,
  • Tu Hoang Le,
  • Dat Le Tan Nguyen,
  • Hung T. Pham,
  • Doan Van Binh,
  • Hong Xuan Do

摘要

Analyzing long-term precipitation and air temperature trends is essential for socio-economic development and effective management of water resource use in river basins. This study evaluates (i) global grid precipitation data quality from three sources: PERSIANN, MSWEP, and CHIRPS; and (ii) average, minimum, and maximum air temperature from MERRA-2. The assessment was conducted using ground monitoring data over five basins in Northern Vietnam with an area of 600–3,000 km2; each basin has at least one meteorological station with data records spanning from 1990 to 2019. The study also assesses the consistency in trends of climatic indices estimated from different global data sources. The results show that MSWEP has the best correlation with gauge stations, and the data quality has improved in recent years. The precipitation trends in August for most basins usually increase with statistical significance. MERRA-2 is often estimated to be lower than the ground measuring station for air temperature in all three factors: average, minimum, and maximum. MERRA-2 has the lowest correlation with the measured temperature when estimating the maximum temperature factor. Most of the monthly observed trend is upward, particularly from May to August. Regarding the uncertainty in trend assessment, we recommend using multiple precipitation and air temperature data and the majority selection method to conclude climate trends for the river basin. The results of this study could provide evidence to assess the suitability of global meteorological data for understanding long-term trends in basins located in areas with limited in-situ meteorological observations.