4.7 Article

Fast Biases in Monsoon Rainfall over Southern and Central India in the Met Office Unified Model

Journal

JOURNAL OF CLIMATE
Volume 32, Issue 19, Pages 6385-6402

Publisher

AMER METEOROLOGICAL SOC
DOI: 10.1175/JCLI-D-18-0650.1

Keywords

Asia; Monsoons; General circulation models; Model evaluation; performance; Numerical weather prediction; forecasting

Funding

  1. INCOMPASS project (Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea)
  2. INCOMPASS [NE/L013843/1]
  3. Royal Society
  4. Met Office Hadley Centre Climate Programme - BEIS
  5. DEFRA
  6. NERC [NE/L013843/1] Funding Source: UKRI

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The Met Office Unified Model (MetUM) is known to produce too little total rainfall on average over India during the summer monsoon period, when assessed for multiyear climate simulations. We investigate how quickly this dry bias appears by assessing the 5-day operational forecasts produced by the MetUM for six different years. It is found that the MetUM shows a drying tendency across the five days of the forecasts, for all of the six years (which correspond to two different model versions). We then calculate each term in the moisture budget, for a region covering southern and central India, where the dry bias is worst in both climate simulations and weather forecasts. By looking at how the terms vary with forecast lead time, we are able to identify biases in the weather forecasts that have been previously identified in climate simulations using the same model, and we attempt to quantify how these biases lead to a reduction in total rainfall. In particular, an anticyclonic bias develops to the east of India throughout the forecast, and it has a complex effect on the moisture available over the peninsula, and a reduction in the wind speed into the west of the region appears after about 3 days, indicative of upstream effects. In addition, we find a new bias that the air advected from the west is too dry from very early in the forecast, and this has an important effect on the rainfall.

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