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Artificial Intelligence and Machine Learning to Assist Climate Change Monitoring

Rahul Malik1,a, Sagar Pande1,b, Nishi2,c, Aditya Khamparia1,d,*

Corresponding Author:

Aditya Khamparia


2 DAV UNIVERISTY, Punjab, India.
a [email protected], b [email protected], c [email protected], d [email protected]
*Corresponding Author: Aditya Khamparia, Email: [email protected]


Climate change issues societal operation, likely wanting considerable adaptation to deal with doing well altered weather patterns. Machine learning (ML) algorithms have progressed considerably, triggering breakthroughs in some other investigation sectors, along with only lately suggested as helping climate evaluation. Though a significant volume of isolated Earth System functions are analyzed with ML techniques, much more generic phone system to find out better the whole temperature unit hasn't happened. For instance, ML is able to aid remote identification, in which complex feedbacks make characterization tough from instantaneous equation analysis or perhaps possibly visualization of sizes plus Earth System design (ESM) diagnostics. Artificial intelligence (AI) may thus build on determined climate associates to provide enhanced alerts of approaching eco-friendly functions, which includes intense events. While ESM development is actually completely necessary, a parallel concentrate on utilizing ML and AI to determine as well as capitalize a great deal more on pre pre-existing simulations as well as info is suggested by us.


Climate, glacier retreat, mass balance, lakes, sea level

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Rahul Malik, Sagar Pande, Nishi, Aditya Khamparia (2020). Artificial Intelligence and Machine Learning to Assist Climate Change Monitoring. Journal of Artificial Intelligence and Systems, 2, 168–190.


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