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. 2024 Apr 16;11(1):385.
doi: 10.1038/s41597-024-03243-x.

Spatiotemporal atmospheric in-situ carbon dioxide data over the Indian sites-data perspective

Mahesh Pathakoti  1   2 , Mahalakshmi D V  3 , Sreenivas G  4   5 , Arun Shamrao Suryavanshi  6 , Alok Taori  3 , Yogesh Kant  7 , Raja P  8   9 , Rajashree Vinod Bothale  3 , Prakash Chauhan  3 , Rajan K S  10 , P R Sinha  11 , Naveen Chandra  12 , Vinay Kumar Dadhwal  13
Affiliations

Spatiotemporal atmospheric in-situ carbon dioxide data over the Indian sites-data perspective

Mahesh Pathakoti et al. Sci Data. .

Abstract

In the current study, atmospheric carbon dioxide (CO2) data covering multiple locations in the Indian subcontinent are reported. This data was collected using a dedicated ground-based in-situ network established as part of the Geosphere-Biosphere Programme (CAP-IGBP) of the Climate and Atmospheric Processes of the Indian Space Research Organisation (ISRO). Data are collected over Ponmudi, Ooty, Sriharikota, Gadanki, Shadnagar, Nagpur, and Dehradun during 2014-2015, 2017-2020, 2012, 2011-2015, 2014-2017, 2017 and 2008-2011, respectively. The atmospheric CO2 generated as part of the CAP-IGBP network would enhance the understanding of CO2 variability in different time scales ranging from diurnal, seasonal, and annual over the Indian region. Data available under this network may be interesting to other research communities for modeling studies and spatiotemporal variability of atmospheric CO2 across the study locations. The work also evaluated the CO2 observations against the Model for Interdisciplinary Research on Climate version 4 atmospheric chemistry-transport model (MIROC4-ACTM) concentrations.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig. 1
Fig. 1
Workflow illustration of atmospheric CO2 datasets creation a) Study site overlaid on the Digital Elevation Model (DEM) b) stages of calibration.
Fig. 2
Fig. 2
Flow chart of data collection layout from the GGA, UGGA and GMP-343 CO2 sensors at the observational sites.
Fig. 3
Fig. 3
A 12-hour inter-sensor calibration of GMP-343 CO2 sensor against high precision UGGA sensor during 9-10 August 2017.
Fig. 4
Fig. 4
Water vapor corrected monthly mean of atmospheric CO2 variation over the study locations.
Fig. 5
Fig. 5
Flow chart for the CO2 data access from the NRSC/Bhuvan Portal of NICES.
Fig. 6
Fig. 6
(a) Comparison of in-situ (dry) CO2 against the MIROC4 ACTM simulated surface level CO2 (b) Relative bias between monthly averaged in-situ CO2 against the MIROC4 ACTM simulation.
See this image and copyright information in PMC

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