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The Indian monsoon brings around 80% of the annual rainfall over the summermonths June--September to the Indian subcontinent. The timing of the monsoononset and the associated rainfall has a large impact on agriculture, thusimpacting the livelihoods of over one billion people. To improve forecastingthe monsoon on sub-seasonal timescales, global climate models are in continualdevelopment. One of the key issues is the representation of convection, whichis typically parametrised. Different convection schemes offer varying degreesof performance, depending on the model and scenario. Here, we propose a methodto compute a convective timescale, which could be used as a metric forcomparison across different models and convection schemes. The method involvesthe determination of a vertical convective flux between the lower and uppertroposphere through moisture budget analysis, and then relating this to thetotal column moisture content. The method is applied to a WRF model simulationof the 2016 Indian monsoon, giving convective timescales that are reduced by afactor of 2 when the onset of the monsoon occurs. The convective timescale canalso be used as an indicator of monsoon transitions from pre-onset to fullphase of the monsoon, and to assess changes in monsoon phases under futureclimate scenarios.

A strategy to compute convective timescales of the Indian monsoon with the WRF model