Publications by authors named "Abha Chhabra"

India is primarily concerned with comprehending regional carbon source-sink response in the context of changes in atmospheric CO concentrations or anthropogenic emissions. Recent advancements in high-resolution satellite's fine-scale XCO measurements provide an opportunity to understand unprecedented details of source-sink activity on a regional scale. In this study, we investigated the long-term variations of XCO concentration and growth rates as well as its covarying relationship with ENSO and regional climate parameters (temperature, precipitation, soil moisture, and NDVI) over India from 2010 to 2021 using GOSAT and OCO-2 retrievals.

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The government of India imposed a nationwide lockdown to tackle the outbreak of COVID-19 in 2020. This period witnessed record low anthropogenic activity, which had severe socio-economic impacts but also had orthogonal effects on the ambient air quality of the atmosphere. This study focuses on the variations in the atmospheric boundary layer (ABL) over a western Indian urban region in the light of COVID-19.

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Article Synopsis
  • Land use is crucial for sustainability, impacting areas like biodiversity, climate, and food security, with insights from land system science summarizing 10 key truths about these challenges.* ! -
  • The 10 truths highlight complexities in land systems, including social values, unpredictable changes, and unequal distributions of benefits, suggesting that "win-win" scenarios in land use are rare.* ! -
  • These facts inform governance strategies for sustainable land use, offering guiding principles rather than definitive solutions for scientists, policymakers, and practitioners.* !
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This study presents an analysis of high-resolution space borne retrievals of the column-averaged dry-air mole fraction of carbon dioxide [Formula: see text] and the role of vegetation in controlling atmospheric CO dynamics over the Indian region. Nadir and glint mode [Formula: see text] retrievals from the Orbiting Carbon Observatory-2 (OCO-2) spectrometer for the period September 2014-July 2017 are studied with satellite-derived normalized difference vegetation index (NDVI) and rainfall over different land cover types. The atmospheric [Formula: see text] variability shows a strong negative correlation with satellite-derived NDVI.

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