MAHESH BADE

Dr. MAHESH BADE

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Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2017 in Terrestrial, Atmospheric and Oceanic Sciences
Verified
Journal Article
Open access
NKNiranjan Kandula
Niranjan Kandula
SVSreekanth Vakacherla
Sreekanth Vakacherla
MBMAHESH BADE
MAHESH BADE
SKS. Kiranmayi
S. Kiranmayi
Day-time variations in boundary layer height effect SW aerosol radiative forcing Relative error in atmospheric forcing values can be as large as 70% L...

13 April 2026 in Earth Systems and Environment
Verified
Journal Article
Closed access
PDF file
TTTiyasha Tiyasha
Tiyasha Tiyasha
Suraj Kumar BhagatSuraj Kumar Bhagat
Suraj Kumar Bhagat
SASaleh Alsulamy
Saleh Alsulamy
VKVikram Kumar
Vikram Kumar
Manish PandeyManish Pandey
Manish Pandey
MBMAHESH BADE
MAHESH BADE

21 March 2026 in Earth Systems and Environment
Verified
Journal Article
Closed access
PDF file
OLOussama Laassilia
Oussama Laassilia
SSSoumia Saghiry
Soumia Saghiry
AHAbdessamad Hadri Hadri
Abdessamad Hadri Hadri
NHNabil Habitou
Nabil Habitou
AAAbdelrhani Ajraoui
Abdelrhani Ajraoui
MBMAHESH BADE
MAHESH BADE

27 May 2026 in Earth Systems and Environment
Verified
Journal Article
Closed access
PDF file
SKSherly K
Sherly K
P. VeereshaP. Veeresha
P. Veeresha
MBMAHESH BADE
MAHESH BADE

25 June 2025 in Remote Sensing
Verified
Journal Article
Open access
PDF file
Shannon Michelle LindseyShannon Michelle Lindsey
Shannon Michelle Lindsey
MBMAHESH BADE
MAHESH BADE
YLYang Li
Yang Li
Understanding the trends and drivers of greenhouse gases (GHGs) is vital to making effective climate mitigation strategies and benefiting human health. In this study, we investigate carbon dioxide (CO2) trends in the top three emitting states in the U.S. (i.e., Texas, California, and Florida) using column-averaged CO2 concentrations (XCO2) from the Greenhouse Gases Observing Satellite (GOSAT) from 2010 to 2022. Annual XCO2 enhancements are derived by removing regional background values (XCO2, enhancement), and their interannual changes (ΔXCO2, enhancement) are analyzed against key influencing factors, including population, gross domestic product (GDP), nonrenewable and renewable energy consumption, and normalized vegetation difference index (NDVI). Overall, interannual changes in socioeconomic factors, particularly GDP and energy consumption, are more strongly correlated with ΔXCO2, enhancement in Florida. In contrast, NDVI and state-specific environmental policies appear to play a more influential role in shaping XCO2 trends in California and Texas. These differences underscore the importance of regionally tailored approaches to emissions monitoring and mitigation. Although renewable energy use is increasing, CO2 trends remain primarily influenced by nonrenewable sources, limiting progress toward atmospheric CO2 reduction.