High Performance Computing System


The Earth behaves as a single interlinked and self regulating system. It’s subsystems, viz. atmosphere, hydrosphere, cryosphere, geosphere and biosphere function together and their interactions are significant and complex. The energy and material transport within and across subsystems occur from local to global scale in varying space and time. Improved and reliable forecast of weather and climate requires integration of observations using very high resolution dynamical models with realistic representation of all physical processes and their complex non linear interactions. Since weather is an initial value problem, accuracy of the initial condition is as important as the accuracy of the model. Thus, data assimilation is a crucial component of weather predictions. As conventional data coverage is spatially and temporally limited, satellite data provides much better coverage in both space and time. About 90% of the data that goes into the assimilation of any analysis-forecast system comprise of data from satellite and rest from in situ platforms. In addition, it is important that adequate computing facility is available for carrying out various numerical experiments pertaining to various programs of the Ministry. This involves augmenting the computational power for the training school where hand on training are to be conducted with high resolution state of the art weather and climate numerical models , conducting research and development work for improving forecasts in the short, medium and long range scales for monsoon mission programs that involve sensitivity experiments for various physical processes. , the impact studies of different physical parameterization schemes etc. , data impact studies, ensemble prediction models with more members, climate change scenario generation for hundreds of years etc. In addition, it is essential to carry out studies related to observation simulation experiments (OSE), observation system simulation experiments (OSSE) and targeted observation experiments that can guide the planners on the location and type of observations that are crucial for the numerical models. Accordingly observation network can be better formulated. This is highly compute intensive job. Large number of numerical experiments shall have to be carried out to identify these crucial locations where observation network need to be strengthened.Hence, it is seen that the entire range of research work involves simulation runs of multiple versions of the same high resolution analysis forecast model which means the utilization of HPC time as well as storage also becomes manifold (directly depending on the total number of experiments undertaken by each student). In order to study the effect/impact on a large temporal scale (from monthly to decadal to 100s of years) , these runs are to be undertaken accordingly. In addition, for understanding the microscale process studies one has to go for extremely high resolution models that can resolve scales of the cloud and related processes. Thus these entire range of studies require not only high level of computer storage, high computational power as well

(a) Objectives:

  1. To establish a petaflops-scale HPC facility at MoES institutes to cater the needs of modeling activities of Monsoon Mission, Climate Change Research and National Training Centre and other programs of the Institute, and also to share the facility with other groups in the country.
  2. To establish, update and maintain an extensive database required for modeling and observational studies.
  3. To provide assistance in processing the data.
  4. To provide programming and software support for model improvement.
  5. To maintain the facility by providing the necessary supporting infrastructure such as UPS, cooling system, Power and Generator backup. Significant investment has to be planned for maintaining the Community Facility.

b) Participating Institution:

  1. Indian Institute of Tropical Meteorology, Pune
  2. India Meteorological Department, Delhi
  3. Indian National Centre for Ocean Information Services, Hyderabad
  4. National Centre for Medium Range Weather Forecast, Noida

(c) Implementation Plan:

Ministry of Earth Sciences has prepared a strategic plan for up gradation of HPCS at various MoES institutes. MoES has already set up a high level committee for upgradation of existing HPC at MoES institutes and the committee in principle agreed with the strategic plan. The committee’s main objectives are to finalize the HPC up gradation requirements of various MoES institutes and prepare RFP document for tendering procedure. The following requirements are proposed for upgradation in next five year plan.

Current and projected HPC requirement by the various mission mode projects taken up by MoES during next 5 years from 2011
Program Current Requirement (Peak in TF) By 2013 By 2016
Centre for Climate Change Research (IITM) ~75 ~125 ~150
Monsoon Mission (IITM/NCMRWF)
  • Development of Seasonal Prediction System
  • Development of a system for extended range prediction of Active / break spell
  • Development of a System for Medium/Short Range Prediction
~125 ~170 ~230
National Training on Weather and Climate Science (IITM) ~10 ~15 ~20
High Resolution tropical Cyclone and weather prediction operational and R&D (IITM, IMD, NCMRWF) ~70 ~100 ~180


Last Updated On 04/06/2015 - 14:25
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