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    • Keywords


      Land surface initialization; soil moisture; monsoon; regional model; drought

    • Abstract


      The direct impact of high resolution land surface initialization on the forecast bias in a regional climatemodel in recent years over Indian summer monsoon region is investigated. Two sets of regional climatemodel simulations are performed, one with a coarse resolution land surface initial conditions and secondone used a high resolution land surface data for initial condition. The results show that all monsoonyears respond differently to the high resolution land surface initialization. The drought monsoon year2009 and extended break periods were more sensitive to the high resolution land surface initialization.These results suggest that the drought monsoon year predictions can be improved with high resolutionland surface initialization. Result also shows that there are differences in the response to the land surfaceinitialization within the monsoon season. Case studies of heat wave and a monsoon depression simulationshow that, the model biases were also improved with high resolution land surface initialization. Theseresults show the need for a better land surface initialization strategy in high resolution regional modelsfor monsoon forecasting.

    • Author Affiliations


      C K Unnikrishnan1 M Rajeevan2 S Vijaya Bhaskara Rao3

      1. National Centre for Medium Range Weather Forecasting, ESSO MoES, Noida 62, India.
      2. Indian Institute of Tropical Meteorology, Dr. Homi Bhabha Road, Pashan, Pune 411 008, India.
      3. Sri Venkateswara University, Tirupati 517 502, India.
    • Dates

  • Journal of Earth System Science | News

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      Posted on July 25, 2019

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