Zobrazit v EDS

Evolution of monsoon studies using HPC: past, present and future.

Uloženo v:
Podrobná bibliografie
Název: Evolution of monsoon studies using HPC: past, present and future.
Autoři: Nanjundiah, Ravi S, Venkatesh, T N, Rao, A Suryachandra
Zdroj: Sādhanā: Academy Proceedings in Engineering Sciences; Sep2025, Vol. 50 Issue 3, p1-14, 14p
Témata: MONSOONS, HIGH performance computing, ATMOSPHERIC sciences, WEATHER forecasting, ATMOSPHERIC models, PARALLEL programming
Geografický termín: INDIA
Abstrakt: Prediction and study of Weather and Climate has been a challenging topic for scientists worldwide. These are muti-component and multi-phase systems with high degree of complexity. Simulating/predicting such a complex system needs significant computational resources. Using conventional computing techniques has always been expensive, and was more so in the 80s. Narasimha recognized the importance of the role of Parallel Computing /HPC (High Performance Computing) for weather and climate modelling in the 1980s. He encouraged the use of parallel computing /HPC techniques to study climate especially the Indian Monsoon. Using Flosolver, the indigenously developed parallel computing system at the CSIR (Council for Scientific and Industrial Research)—National Aerospace Laboratories (NAL), a climate model was implemented during 1986–1988. This was perhaps one of the earliest such implementations worldwide. This was followed by the implementation of a Medium Range Forecast (MRF the opearational model then being used by National Centre for Medium Range Weather Forecasting, NCMRWF) model on an upgraded version of Flosolver during early 1990s. The uniqueness of Flosolver was that identifying the needs of spectral models, a new type of intercommunication switch, FloSwitch, was designed and developed that could not only facilitate communications but would also process information and thus reduce communication overheads and improve scalability. The knowledge so gained by implementation of the the MRF model also helped in a complete remoulding of this model and was followed up with the development of an indigenous model viz. VARSHA. This model had many unique features that incorporated research in various aspects of atmospheric modelling by Indian researchers. Narasimha also played a pivotal role in the establishment of Ministry of Earth Sciences (MoES). Today, the institutes under this ministry have contributed significantly in improving the forecasts of monsoons and other weather events. Thanks to the strong foundations laid by Narasimha, India has been successfully exploiting HPC for cutting edge simulations in climate and weather predictions at all scales. Here we trace the evolution of Climate and Weather studies/prediction using parallel processing, from its beginnings to the present, especially in the Indian context and also speculate on the future directions. [ABSTRACT FROM AUTHOR]
Copyright of Sādhanā: Academy Proceedings in Engineering Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáze: Complementary Index
Popis
Abstrakt:Prediction and study of Weather and Climate has been a challenging topic for scientists worldwide. These are muti-component and multi-phase systems with high degree of complexity. Simulating/predicting such a complex system needs significant computational resources. Using conventional computing techniques has always been expensive, and was more so in the 80s. Narasimha recognized the importance of the role of Parallel Computing /HPC (High Performance Computing) for weather and climate modelling in the 1980s. He encouraged the use of parallel computing /HPC techniques to study climate especially the Indian Monsoon. Using Flosolver, the indigenously developed parallel computing system at the CSIR (Council for Scientific and Industrial Research)—National Aerospace Laboratories (NAL), a climate model was implemented during 1986–1988. This was perhaps one of the earliest such implementations worldwide. This was followed by the implementation of a Medium Range Forecast (MRF the opearational model then being used by National Centre for Medium Range Weather Forecasting, NCMRWF) model on an upgraded version of Flosolver during early 1990s. The uniqueness of Flosolver was that identifying the needs of spectral models, a new type of intercommunication switch, FloSwitch, was designed and developed that could not only facilitate communications but would also process information and thus reduce communication overheads and improve scalability. The knowledge so gained by implementation of the the MRF model also helped in a complete remoulding of this model and was followed up with the development of an indigenous model viz. VARSHA. This model had many unique features that incorporated research in various aspects of atmospheric modelling by Indian researchers. Narasimha also played a pivotal role in the establishment of Ministry of Earth Sciences (MoES). Today, the institutes under this ministry have contributed significantly in improving the forecasts of monsoons and other weather events. Thanks to the strong foundations laid by Narasimha, India has been successfully exploiting HPC for cutting edge simulations in climate and weather predictions at all scales. Here we trace the evolution of Climate and Weather studies/prediction using parallel processing, from its beginnings to the present, especially in the Indian context and also speculate on the future directions. [ABSTRACT FROM AUTHOR]
ISSN:02562499
DOI:10.1007/s12046-025-02771-5