Abstract

The springtime snowpack over the Himalayan–Tibetan Plateau (HTP) region and Eurasia has long been suggested to be an influential factor on the onset of the Indian summer monsoon. To assess the impact of realistic initialization of springtime snow over HTP on the onset of the Indian summer monsoon, we examine a suite of coupled ocean–atmosphere 4-month ensemble reforecasts made at the European Centre for Medium-Range Weather Forecasts, using their Seasonal Forecasting System 4. The reforecasts were initialized on 1 April every year for the period 1981–2010. In these seasonal reforecasts, the snow is initialized “realistically” with ERA-Interim/Land Reanalysis. In addition, we carried out an additional set of forecasts, identical in all aspects except that initial conditions for snow-related land surface variables over the HTP region are randomized. We show that high snow depth over HTP influences the meridional tropospheric temperature gradient reversal that marks the monsoon onset. Composite difference based on a normalized HTP snow index reveal that, in high snow years, (1) the onset is delayed by about 8 days, and (2) negative precipitation anomalies and warm surface conditions prevail over India. We show that about half of this delay can be attributed to the realistic initialization of snow over the HTP region. We further demonstrate that high April snow depths over HTP are not uniquely influenced by El Nino-Southern Oscillation, the Indian Ocean Dipole or the North Atlantic Oscillation.

Highlights

  • The Indian Summer Monsoon (ISM) is one of the climate phenomena with the strongest social and economic impact, and affects one of the most densely populated parts of the world

  • The aim of this paper is to investigate the impact of realistic snow initialization over the Himalayan and Tibetan Plateau (HTP) region on predicting the onset of the ISM, and on verifying the Blanford hypothesis using a state-of-the-art seasonal forecasting system

  • In order to gain insight into the spatial structure and evolution of the circulation anomalies associated with extremes of April snow over the HTP region, we first perform a composite analysis based on the normalized April HTP snow depth index, extending from the pre-monsoon and through the onset period (April to June)

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Summary

Introduction

The Indian Summer Monsoon (ISM) is one of the climate phenomena with the strongest social and economic impact, and affects one of the most densely populated parts of the world. The north–south gradient switches from a negative to a positive value at the monsoon onset resulting mainly from the deep tropospheric heating over the Himalayan and Tibetan Plateau (HTP) region during the pre-monsoon period (April–May, Yanai and Wu 2006), which is faster than on oceanic areas to the south (Dai et al 2013). This land heating allows conditions favourable for the northward migration of convection regions, away from the equator

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