Assessment of Climate Change Over the Indian Region 2020
DOI: 10.1007/978-981-15-4327-2_4
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Observations and Modeling of GHG Concentrations and Fluxes Over India

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Cited by 14 publications
(6 citation statements)
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References 99 publications
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“…However, the spatial and temporal gaps in observational data over certain regions impose uncertainties on regional‐scale flux estimations (Byrne et al., 2017; Liu et al., 2014). South Asia (see Figure 1; defined as the region comprising India, Pakistan, Bangladesh, Nepal, Sri Lanka, and Bhutan) is such a region with sparse observations, which impedes the accurate quantification of regional CO 2 fluxes and seasonal variability of net ecosystem exchange (NEE) fluxes (Chakraborty et al., 2020; Patra et al., 2013; Thompson et al., 2016). “Bottom‐up” NEE estimates from terrestrial ecosystem models also have uncertainty over South Asia (Patra et al., 2013), warranting further studies using ecosystem models, atmospheric inverse models and regional in situ atmospheric CO 2 mole fraction measurement data for this region.…”
Section: Introductionmentioning
confidence: 99%
“…However, the spatial and temporal gaps in observational data over certain regions impose uncertainties on regional‐scale flux estimations (Byrne et al., 2017; Liu et al., 2014). South Asia (see Figure 1; defined as the region comprising India, Pakistan, Bangladesh, Nepal, Sri Lanka, and Bhutan) is such a region with sparse observations, which impedes the accurate quantification of regional CO 2 fluxes and seasonal variability of net ecosystem exchange (NEE) fluxes (Chakraborty et al., 2020; Patra et al., 2013; Thompson et al., 2016). “Bottom‐up” NEE estimates from terrestrial ecosystem models also have uncertainty over South Asia (Patra et al., 2013), warranting further studies using ecosystem models, atmospheric inverse models and regional in situ atmospheric CO 2 mole fraction measurement data for this region.…”
Section: Introductionmentioning
confidence: 99%
“…A 50 m tall micrometeorological tower was installed in Kaziranga National Park (26°34’N, 93°6’E) in 2014 as part of the MetFlux India project (Chakraborty et al., 2020). Being a reserve forest, the environment in the park is free of carbon‐emitting interfering anthropogenic activities.…”
Section: Methodsmentioning
confidence: 99%
“…The carbon level increases in India by local emissions, terrestrial biota and environment, Cyclonic disturbances in North Indian Ocean including Bay of Bengal & Arabian Sea, shift of ITCZ, MJO and Nino conditions Saito et al [14], Sheel et al [15] Chhabra A et al [16] and Joshi et al [17]. The seasonal CO 2 concentrations in air exhibit high as one move from equator to high latitude, i.e latitude wise, Chakraborty et al 2020 [18].…”
Section: Review Of Literaturementioning
confidence: 99%