Zobrazeno 1 - 6
of 6
pro vyhledávání: '"K. S. S. Sai Srujan"'
Publikováno v:
Earth and Space Science, Vol 8, Iss 9, Pp n/a-n/a (2021)
Abstract The monsoon low‐pressure systems (LPSs) are a major contributor to the rainfall over India. The genesis of LPS in climate models is not well understood. Here, we track the LPS activity in 11 coupled climate models using an automated tracki
Externí odkaz:
https://doaj.org/article/51ff527b3c4f46fdba9434349c610f1b
About 60% of the rainfall during the Indian Summer Monsoon (ISM) is manifested by the synoptic-scale storms form over North Bay of Bengal (BoB) and the adjacent land area known as “Low-Pressure Systems” (LPS). Unlike tropical cyclones, the storms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::870173d6c2ba3f13189014d321f06629
https://doi.org/10.5194/egusphere-egu23-4126
https://doi.org/10.5194/egusphere-egu23-4126
Autor:
Sayali Kulkarni, Kshitij Alwadhi, Sandeep Sukumaran, Navya Jain, Viju John, K. S. S. Sai Srujan, Aravind Nair, Hariprasad Kodamana
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Tropical cyclones (TCs) are the most destructive weather systems that form over the tropical oceans, with 90 storms forming globally every year. The timely detection and tracking of TCs are important for advanced warning to the affected regions. As t
The relatively weak tropical storms, known as low-pressure systems (LPS), contribute as much as 60% of the seasonal precipitation over the hugely populated central India. More than a third of LPS a...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8405e0330ef171c86774eac3bd0a6303
https://doi.org/10.1002/essoar.10510786.1
https://doi.org/10.1002/essoar.10510786.1
Publikováno v:
Earth and Space Science, Vol 8, Iss 9, Pp n/a-n/a (2021)
The monsoon low‐pressure systems (LPSs) are a major contributor to the rainfall over India. The genesis of LPS in climate models is not well understood. Here, we track the LPS activity in 11 coupled climate models using an automated tracking algori
The synoptic-scale (3 - 7 days) variability is a dominant contributor to the Indian summer monsoon (ISM) seasonal precipitation. An accurate prediction of ISM precipitation by dynamical or statistical models remains a challenge. Here we show that the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c56148623215bbe3d919bca3caf3d9c
https://doi.org/10.36227/techrxiv.14377298.v1
https://doi.org/10.36227/techrxiv.14377298.v1