Evaluation of dynamical downscaled daily precipitation and temperature indices over India in present-day climate
Material type:
TextSubject(s): Dissertation note: Master of Science in Computational Science 2013-2015 EXT "Centre for Climate Change Research (CCCR), Indian Institute of Tropical Meteorology (IITM), Pune" Summary: The main aim of this project is to understand the basic concepts of climate extremes and mastering how to analyse them using the statistical tool R.
This study provide a first look at the performance of high resolution dynamical downscaling of a global reanalyses data set using a regional climate model (RCM) in simulating climate extremes indices defined by the Expert Team on Climate Change Detection and Indices (ETCCDI) over India under the present-day climate. First, the ETCCDI indices based on weather station observations and reanalysis available globally at a coarse resolution are intercompared with few selected indices computed by the same ETCCDI methodology using the high resolution gridded observations available over India. The high resolution climate extreme indices calculated in this study are found to be more reliable for better understanding the sub-regional spatial variations over India at annual and seasonal time scales, than the coarser resolution ETCDDI indices. These observed high resolution climate extreme indices are used to assess the value added to reanalysis with dynamical downscaling by evaluating the performance of the RCM simulated daily precipitation and temperature indices over India under the present‐day climate. The detailed evaluation of their climatologically monthly seasonal cycle and interannual variations over two sub-regions over India highlighted the strengths and weaknesses of the downscaled RCM simulation.
| Item type | Current library | Call number | Status | Date due | Barcode | |
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Project Reports
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Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre | Not for loan | R-655 |
Master of Science in Computational Science 2013-2015 EXT T.K Manoj Kumar J. Sanjay (Scientist-E) "Centre for Climate Change Research (CCCR), Indian Institute of Tropical Meteorology (IITM), Pune"
The main aim of this project is to understand the basic concepts of climate extremes and mastering how to analyse them using the statistical tool R.
This study provide a first look at the performance of high resolution dynamical downscaling of a global reanalyses data set using a regional climate model (RCM) in simulating climate extremes indices defined by the Expert Team on Climate Change Detection and Indices (ETCCDI) over India under the present-day climate. First, the ETCCDI indices based on weather station observations and reanalysis available globally at a coarse resolution are intercompared with few selected indices computed by the same ETCCDI methodology using the high resolution gridded observations available over India. The high resolution climate extreme indices calculated in this study are found to be more reliable for better understanding the sub-regional spatial variations over India at annual and seasonal time scales, than the coarser resolution ETCDDI indices. These observed high resolution climate extreme indices are used to assess the value added to reanalysis with dynamical downscaling by evaluating the performance of the RCM simulated daily precipitation and temperature indices over India under the present‐day climate. The detailed evaluation of their climatologically monthly seasonal cycle and interannual variations over two sub-regions over India highlighted the strengths and weaknesses of the downscaled RCM simulation.
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