4.6 Article

Assessment of Multi-Satellite Precipitation Products over the Himalayan Mountains of Pakistan, South Asia

Journal

SUSTAINABILITY
Volume 14, Issue 14, Pages -

Publisher

MDPI
DOI: 10.3390/su14148490

Keywords

PERSIANN family; satellite; precipitation; assessment; Himalayan Mountains; South Asia

Funding

  1. Higher Education Commission (HEC) of Pakistan [PSDP-332, PSDP-321]

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This study assessed the accuracies of four satellite-based precipitation products (SPPs) in the Himalayan Mountains of Pakistan. The results showed that the PERSIANN and PERSIANN-DIR products performed better in tracing the spatio-temporal distribution of precipitation. The estimates of all SPPs were more consistent with the reference data on a monthly scale. PERSIANN and PERSIANN-DIR also showed better performances on a seasonal scale compared to PERSIANN-CDR and PERSIANN-CCS. However, all SPPs were less accurate in sensing daily light to medium intensity precipitation events.
Performance assessment of satellite-based precipitation products (SPPs) is critical for their application and development. This study assessed the accuracies of four satellite-based precipitation products (PERSIANN-CDR, PERSIANN-CCS, PERSIANN-DIR, and PERSIANN) using data of in situ weather stations installed over the Himalayan Mountains of Pakistan. All SPPs were evaluated on annual, seasonal, monthly, and daily bases from 2010 to 2017, over the whole spatial domain and at point-to-pixel scale. The assessment was conducted using widely used evaluation indices (root mean square error (RMSE), correlation coefficient (CC), bias, and relative bias (rBias)) along with categorical indices (false alarm ratio (FAR), probability of detection (POD), success ratio (SR), and critical success index (CSI)). Results showed: (1) PERSIANN and PERSIANN-DIR products efficiently traced the spatio-temporal distribution of precipitation over the Himalayan Mountains. (2) On monthly scale, the estimates of all SPPs were more consistent with the reference data than on the daily scale. (3) On seasonal scale, PERSIANN and PERSIANN-DIR showed better performances than the PERSIANN-CDR and PERSIANN-CCS products. (4) All SPPs were less accurate in sensing daily light to medium intensity precipitation events. Subsequently, for future hydro-meteorological investigations in the Himalayan range, we advocate the use of monthly PERSIANN and PERSIANN-DIR products.

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