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Variation of AIRS-Retrieved CO2 over Uttarakhand, India, During 2010–2017
Ist Teil von
Journal of the Indian Society of Remote Sensing, 2023-07, Vol.51 (7), p.1553-1564
Ort / Verlag
New Delhi: Springer India
Erscheinungsjahr
2023
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
The Himalayas are unique in terms of their geography, biodiversity, and susceptibility to global warming and climate change. To comprehend a regional climate, specialized research is crucial. The present study is a focused attempt in that direction and records the spatial and seasonal variability of carbon dioxide (CO
2
) retrieved from AIRS (Atmospheric Infrared Sounder) over the Uttarakhand region of the Himalayas in India during 2010–2017 to analyze the effects of global warming and climate change. CO
2
is observed to have increased by an average of 2.14 ppm per year during the study period. The highest and lowest CO
2
values were 405 ppm and 387 ppm throughout the investigation. The maximum concentrations of CO
2
were observed in the pre-monsoon season. The highest levels of CO
2
are associated with the lowest OLR (outgoing longwave radiation) and the lowest precipitation rate. August and September months show the highest NDVI (normalized difference vegetation index) values, which correspond to the lowest CO
2
concentrations. CO
2
and NDVI have a negative correlation (viz. − 0.93). In the monsoon season, when CO
2
concentrations were lowest, a strong anti-correlation (− 0.76) was found between CO
2
and precipitation rate. NDVI follows the precipitation rate one month later, promoting photosynthesis and acting as a CO
2
sink. Furthermore, the correlation of CO
2
with OLR, PBL, and meteorological factors (viz. temperature, relative humidity, wind speed, and surface pressure) was also investigated. CO
2
and humidity are anti-correlated (− 0.64) but positively correlated (0.57) with wind speed. The Himalayan natural resources support billions of people by uplifting the region’s economy. Therefore, such region-specific research is scientifically essential for its socioeconomic importance.