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Roy, Sukanta

Scientific Drilling in Koyna Region, Maharashtra

Ground Surface Warming in Peninsular India:Evidence from Geothermal Records

Abstract Views :178 | PDF Views:76

Authors

Vyasulu V. Akkiraju ¹, Sukanta Roy ², Shalivahan ³

Affiliations
1 Ministry of Earth Sciences, Borehole Geophysics Research Laboratory, Karad 415 114, IN
2 CSIR-National Geophysical Research Institute, Uppal Road, Hyderabad 500 007, IN
3 Department of Geophysics, IIT (Indian School of Mines), Dhanbad 826 004, IN

Source

Current Science, Vol 115, No 8 (2018), Pagination: 1567-1571

Abstract

Analyses of borehole temperature profiles provide useful information about regional climate change over a few centuries. Data from 146 borehole sites in the crystalline terrain of peninsular India were used to reconstruct surface ground temperature history. Depths of the boreholes ranged from 150 to 1522 m. The temperature profiles were characteristic of heat flow by conduction, being largely unaffected by perturbations due to groundwater flow. The profiles show temperature anomalies in the top few hundred metres that is consistent with changing surface temperature over the past two-three centuries. Analysis of individual profiles for a ramp change in temperature reveals predominant surface ground warming in peninsular India with a mean magnitude of 1.0 ± 0.2°C for 129 ± 18 years at 95% confidence level corresponding to onset ca 1860 a d for the change.

Keywords

Borehole Temperatures, Ground Temperature History, Peninsular India, Surface Air Temperature.

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References

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Artificial intelligence and machine learning in earth system sciences with special reference to climate science and meteorology in South Asia

Abstract Views :169 | PDF Views:82

Authors

Manmeet Singh ¹, Bipin Kumar ², Rajib Chattopadhyay ², K. Amarjyothi ³, Anup K. Sutar ⁴, Sukanta Roy ⁴, Suryachandra A. Rao ², Ravi S. Nanjundiah ⁵

Affiliations
1 Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune 411 008, India; Jackson School of Geosciences, The University of Texas at Austin, Austin 78712, USA; IDP in Climate Studies, Indian Institute of Technology Bombay, Powai, Mumbai 400 076, IN
2 Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune 411 008, IN
3 National Centre for Medium Range Weather Forecasting, Ministry of Earth Sciences, Noida 201 309, IN
4 Borehole Geophysics Research Laboratory, Ministry of Earth Sciences, Karad 415 114, IN
5 Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune 411 008, India; Centre for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bengaluru 560 012, India; Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru 560 012, IN

Source

Current Science, Vol 122, No 9 (2022), Pagination: 1019-1030

Abstract

This study focuses on the current problems in earth system science (ESS), where machine learning (ML) algorithms can be applied. It provides an overview of previous studies, ongoing work at the Ministry of Earth Sciences, Government of India, and future applications of ML algorithms to some significant earth science problems. We compare previous studies, a mind map of multidimensional areas related to ML and Gartner’s hype cycle for ML in ESS. We mainly focus on the critical components in earth sciences, including studies on the atmosphere, oceans, biosphere, hydrogeology, human health and seismology. Various artificial intelligence (AI)/ML applications to problems in the core fields of earth sciences are discussed, in addition to gap areas and the potential for AI techniques.

Keywords

Artificial intelligence, climate science, earth sciences, machine learning, meteorology, mind map.

Full Text

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