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of 235
pro vyhledávání: '"Nanjundiah, Ravi S."'
Arabian Sea Mid-Tropospheric Cyclones (MTCs), which are responsible for extreme rainfall events in western India, often coincide with monsoon low-pressure systems (LPS) over the Bay of Bengal. However, the role of Bay of Bengal LPSs in the formation
Externí odkaz:
http://arxiv.org/abs/2307.02607
Autor:
Kumar, Bipin, Atey, Kaustubh, Singh, Bhupendra Bahadur, Chattopadhyay, Rajib, Acharya, Nachiket, Singh, Manmeet, Nanjundiah, Ravi S., Rao, Suryachandra A.
Publikováno v:
Earth Science Informatics, 2023
Deep Learning (DL) based downscaling has become a popular tool in earth sciences recently. Increasingly, different DL approaches are being adopted to downscale coarser precipitation data and generate more accurate and reliable estimates at local (~fe
Externí odkaz:
http://arxiv.org/abs/2207.00808
The formation of Middle Tropospheric Cyclones (MTCs) that are responsible for a large portion of annual precipitation and extreme rainfall events over western India is studied using an unsupervised machine learning algorithm and cyclone tracking. Bot
Externí odkaz:
http://arxiv.org/abs/2203.04060
Autor:
Jat, Rajmal, Ghude, Sachin D., Govardhan, Gaurav, Kumar, Rajesh, Yadav, Prafull P., Sharma, Pratul, Kalita, Gayatry, Debnath, Sreyashi, Kulkarni, Santosh H., Chate, Dilip M., Nanjundiah, Ravi S.
Publikováno v:
In Science of the Total Environment 15 September 2024 943
Autor:
Singh, Manmeet, Kumar, Bipin, Chattopadhyay, Rajib, Amarjyothi, K, Sutar, Anup K, Roy, Sukanta, Rao, Suryachandra A, Nanjundiah, Ravi S.
This survey focuses on the current problems in Earth systems science where machine learning algorithms can be applied. It provides an overview of previous work, ongoing work at the Ministry of Earth Sciences, Gov. of India, and future applications of
Externí odkaz:
http://arxiv.org/abs/2112.12966
Autor:
Kumar, Bipin, Abhishek, Namit, Chattopadhyay, Rajib, George, Sandeep, Singh, Bhupendra Bahadur, Samanta, Arya, Patnaik, B. S. V., Gill, Sukhpal Singh, Nanjundiah, Ravi S., Singh, Manmeet
Publikováno v:
Geocarto International, 2022
Accurate short range weather forecasting has significant implications for various sectors. Machine learning based approaches, e.g., deep learning, have gained popularity in this domain where the existing numerical weather prediction (NWP) models stil
Externí odkaz:
http://arxiv.org/abs/2107.04270
Autor:
Singh, Manmeet, Kumar, Bipin, Rao, Suryachandra, Gill, Sukhpal Singh, Chattopadhyay, Rajib, Nanjundiah, Ravi S, Niyogi, Dev
The formation of precipitation in state-of-the-art weather and climate models is an important process. The understanding of its relationship with other variables can lead to endless benefits, particularly for the world's monsoon regions dependent on
Externí odkaz:
http://arxiv.org/abs/2106.12045
Mid-Tropospheric Cyclones (MTCs) are moist synoptic systems with distinct mid tropospheric vorticity maxima and weak signatures in the lower troposphere. Composites and statistics of MTCs over the tropics are constructed and compared with monsoon low
Externí odkaz:
http://arxiv.org/abs/2011.13972
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