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Conference Paper

Derivation of Localized Southwest Monsoon Indices using ERA5 Wind Reanalysis and HIRS Daily OLR Dataset

Authors

Goliat,  Raymond Jess
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Manauis,  Kimberly
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Servando,  Nathaniel
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Moron,  Lorenzo
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Goliat, R. J., Manauis, K., Servando, N., Moron, L. (2023): Derivation of Localized Southwest Monsoon Indices using ERA5 Wind Reanalysis and HIRS Daily OLR Dataset, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-4922


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021322
Abstract
The southwest monsoon (SWM) season in the Philippines is associated with heavy precipitation events brought by moisture bearing winds leading to extreme flooding and landslides in the western region of the country. This study aimed to derive localized SWM indices using ERA5 and HIRS datasets over three different domains in the western area of the country. Initially, global monsoon indices (GMI) were employed in characterizing the occurrence and intensity of SWM events in terms of detecting extreme SWM rainfall using GPM rainfall anomalies from 2001 to 2020. Results showed that convection index (CI2) and circulation index (DU2) can be the basis of localized indices with correlations at -0.66 and 0.68 at the 95 % significance level, respectively. Consequently, GMI parameters, specifically Outgoing Longwave Radiation (OLR) and wind components at 200hPa and 850hPa levels were utilized in producing localized monsoon indices (LMIs) over Philippine domains. The generated LMIs were validated using GPM rainfall anomalies over the western region of the country with correlations from -0.75 to -0.80 (p<0.05). The strength of the LMIs may be attributed to OLR as a proxy for convective activities and wind components as measure of advection and circulation. OLR can be linked to moisture flux, while wind parameters can be related to the transport of this moisture. The generated LMIs as a tool for characterizing SWM events are essential to strengthen the disaster and risk reduction capabilities of the country.