Abstract

We make use of satellite-based rainfall products from the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) to objectively define local onset and demise of the Indian Summer Monsoon (ISM) at the spatial resolution of the meteorological subdivisions defined by the Indian Meteorological Department (IMD). These meteorological sub-divisions are the operational spatial scales for official forecasts issued by the IMD. Therefore, there is a direct practical utility to target these spatial scales for monitoring the evolution of the ISM. We find that the diagnosis of the climatological onset and demise dates and its variations from the TMPA product is quite similar to the rain gauge based analysis of the IMD, despite the differences in the duration of the two datasets. This study shows that the onset date variations of the ISM have a significant impact on the variations of the seasonal length and seasonal rainfall anomalies in many of the meteorological sub-divisions: for example, the early or later onset of the ISM is associated with longer and wetter or shorter and drier ISM seasons, respectively. It is shown that TMPA dataset (and therefore its follow up Global Precipitation Measurement (GPM) Integrated Multi-satellite Retrievals for GPM (IMERG)) could be usefully adopted for monitoring the onset of the ISM and therefore extend its use to anticipate the potential anomalies of the seasonal length and seasonal rainfall anomalies of the ISM in many of the Indian meteorological sub-divisions.

Highlights

  • The seasonal evolution of the Indian Summer Monsoon (ISM) is a well-known feature of general circulation

  • We have demonstrated the use of remotely sensed rainfall datasets to diagnose and monitor the evolution of the Indian Summer Monsoon (ISM) in each of the meteorological sub-divisions

  • The resolution adaptability of the proposed methodology to diagnose the onset and demise dates of the ISM is put to use in this study to adapt to the scales of the meteorological sub-divisions, which is the operational spatial resolution for the forecasts issued by the Indian Meteorological Department

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Summary

Introduction

The seasonal evolution of the Indian Summer Monsoon (ISM) is a well-known feature of general circulation. The authors of [3,6] show that the large-scale variations of El Niño and the Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD) have some influence on the seasonal length variations of the ISM. Alyses in 34 of the 36 sTuhbe-rdeivairseio3n6s, mwehtiecohroexlocgluicdael Lsuakbs-dhiavdiwsioeneps athnadt AmnadyambeanreagnadrdNedicoabsatrhIeslaspnadtsi.alThscisaliessboecfatuhsee the operraationnfaalll fdoarteacsaesttsusisesdueind tbhyistshteudIMy Dis. cIonatrhseisinstuspdaytiwalerecosonlduuticotnedanandailsysuensaibnle3t4oorfesthoelv3e6thsuesbe- two divisiisolanns,dsw’ hmicehteoerxocllougdiecaLl asukbsh-daidvwiseioenps.and Andaman and Nicobar Islands. This is because the rainfall dataset used in this study is coarse in spatial resolution and is unable to resolve these two islands’ meteorological sub-divisions

Datasets and Methodology
Results
20 Coastal Karnataka
Conclusions
Full Text
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