Virendra Goswami

Title : Application of artificial intelligence and remote sensing in tackling aggravated climatic challenges through correlational study of ocean-cryosphere interactions with climate variability by developing numerical ocean-cryosphere climate variability prediction model (NOC-CVPM).

Abstract:

Application of Artificial Intelligence and Remote Sensing In Tackling Aggravated Climatic Challenges Through Correlatio nal Study of Ocean-Cryosphere Interactions with Climate Variability By Developing Numerical Ocean-Cryosphere Climate Variability Prediction Model (NOC-CVPM).
Presenter:
Prof. (Dr.) VIRENDRA KUMAR GOSWAMI
 Indian Institute of Technology (IIT) & Environment and Peace Foundation, INDIA
 
Abstract: Seminal scientific research is needed to develop Numerical Ocean-Cryosphere Climate Variability Prediction Model (NOC-CVPM), tackling Aggravated Climatic Challenges by computing Correlation of Ocean-Cryosphere Interactions with Climate Variability by using artificial intelligence and advanced Remote Sensing technologies, in order to understand the major Atmospheric challenges due to extreme weather events caused due to mesoscale convective systems, Global Carbon Cycle, Ocean Salinity, and Marine Pollution resulting due to the toxin, toxic gases, Global Warming , along with sub-mesoscale dynamics of Arctic ice sheet stability, ice and bedrock coring, ice sheet modelling, and ice sheet processes over the Cryosphere (Arctic), Oceanic and sub-surface Oceanic and Atmospheric regions.
The term “cryosphere” comes from the Greek word, “krios,” which means cold e. g. Arctic, Greenland & Antarctica regions. The Canadian Scientists in 2016 found that the OceanAtmosphere- Cryosphere (OAC) interaction is more evident on North pole i. e. Arctic regions.

In Feb’17, Researchers found that the unstoppably melting of the glacier into the ocean mainly because of warmer seawater lapping at its underside. Prof. Peter Clark, OSU attributed that the Glacier retreat was due to rising levels of Carbon Dioxide and other GHG, as opposed to other types of forces. If, this continues then the most of Glaciers would disappear in the next few centuries & the Glaciers loss in future will be contributing to rising sea levels, environmental pollution vis-à-vis Climate Change.
The understanding of impacts of multiple stressors on the ocean and the associated risks of abrupt state shifts can be explored through the comprehensive studies of Ocean Systems Interactions, Risks, Instabilities and Synergies (OSIRIS) as well as climate variability due to coupled Ocean-Cryosphere interactions and by developing Numerical Ocean-Cryosphere Climate Variability Prediction Model (NOC-CVPM), over the oceanic -Cryosphere regions.
The kinematic features of the mesoscale convective systems over Arctic- North Atlantic Ocean regions would be correlated with ocean-cryosphere Climate variability on time & Space Scales; at the local, regional and global levels through the extracted Sea Surface Temperature (SSTs) over the grid box(10 -1 0 ) , attributing the regional change to natural and anthropogenic radiative forcing agents to bring out the few optimum values of these (OSIRIS) to develop Numerical Ocean-Cryosphere Climate Variability Prediction Model (NOC-CVPM), by using High Resolution Satellite imageries, data access, assimilation; HPC and cloud computing for real-time analysis and Artificial Intelligence to explore the deep seas.

Next, through the process of Initialization, Computation, Parameterization, within the (1 x 1) deg. grid-box by the computer algorithm, the Numerical Prediction Models for Ocean - Cryosphere Climate variability over Arctic & North Atlantic regions would be developed i. e. Numerical Ocean-Cryosphere Climate Variability Prediction Model (NOC-CVPM).

KEYWORDS: Climate Change, Numerical Ocean-Cryosphere Climate Variability Prediction Model (NOC-CVPM), Ocean Systems Interactions, Risks, Instabilities and Synergies (OSIRIS), Correlation of Ocean-Cryosphere Interactions, Artificial Intelligence and Remote Sensing

Audience Take Away:

About Satellite Study of Ocean Systems Interactions, Risks, Instabilities and Synergies (OSIRIS), Correlation of Ocean-Cryosphere Interactions, Climate change and Role of Artificial Intelligence to explore the deep seas and development of Numerical OceanCryosphere Climate Variability Prediction Model (NOC-CVPM).  


 

Biography:

Dr. Virendra Kumar Goswami, Ph.D. Indian Institute of Technology (IIT), Kharagpur, MS from the University of Wisconsin, USA. Post Doctorate Fellow (PDF) at the University of Illinois, Chicago, USA. ‘Visiting Scientist’ to United Nations Industrial Development Organization (UNIDO), ICTP, Italy. Expert Panelist International Civil Aviation Organization (ICAO), Canada and the United Nations. Founder President ’Environment & Peace Foundation’& Wing Commander (Retd.) with more than 550 hours of flying as a supernumerary Aircrew.

Dr. Virendra   Goswami worked at Space Science Engineering Centre, NASA NOAA (National Oceanic Atmospheric Administration) at the University of Wisconsin, USA. Former Vice-Chancellor: Sangam & Sunrise Universities. Had been, Director General of Management Institutes & Director of Engineering Institutes as well as Vice-President Havells India Ltd. Special Invitee by the World Meteorological Organization (WMO) of the United Nations, Geneva in 2001. Expert Panelist of Association of Indian Universities (AIU) & Ph. D & M. Tech Examiner at Centre of Energy Studies at IIT Delhi. More than 44 years of teaching, research and administrative experience at Home and Abroad. Also, Prof. Emeritus, Member: American Geophysical Union) SCB, AMS & IMS. Lately, appointed Reviewer /Member of Editorial Board of Royal Meteorological Society(R.Met.S),Atmospheric Science Letters(R.Met.SAL) as well as Prof.Emeritus:Jyoti Vidyapeeth Women’s University (JVWU)&RVIT,India. CHAIR Prof.: Environment Climate Change & Peace Research (ECPR), Dr. Bhimrao Ambedkar Univ. of Social Sciences, Mhow (Indore).