Precipitation Trends in the Ganges-Brahmaputra-Meghna River Basin, South Asia: Inconsistency in Satellite-Based Products
نویسندگان
چکیده
The Ganges-Brahmaputra-Meghna (GBM) river basin is the world’s third largest. Literature show that changes in precipitation have a significant impact on climate, agriculture, and environment GBM. Two satellite-based products, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR) Multi-Source Weighted-Ensemble (MSWEP), were used to analyze compare trends over GBM as whole within 34 pre-defined hydrological sub-basins separately for period 1983–2019. A non-parametric Modified Mann-Kendall test was applied determine monsoon (June–September) pre-monsoon (March–May) precipitation. results an inconsistency between two products. Namely, MSWEP trend has significantly increased (Z-value = 2.236, p 0.025), PERSIANN-CDR decreased ?33.071, < 0.000). However, both products strongly indicate recently declined seasons eastern southern regions of basin, agreeing with several previous studies. Further work needed identify reasons behind inconsistent decreasing increasing basin.
منابع مشابه
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ژورنال
عنوان ژورنال: Atmosphere
سال: 2021
ISSN: ['2073-4433']
DOI: https://doi.org/10.3390/atmos12091155