Characterizing the regional XCO2 variability and its association with ENSO over India inferred from GOSAT and OCO-2 satellite observations

India is primarily concerned with comprehending regional carbon source-sink response in the context of changes in atmospheric CO2 concentrations or anthropogenic emissions. Recent advancements in high-resolution satellite's fine-scale XCO2 measurements provide an opportunity to understand unpre...

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Veröffentlicht in:The Science of the total environment 2023-12, Vol.902, p.166176-166176, Article 166176
Hauptverfasser: Das, Chiranjit, Kunchala, Ravi Kumar, Chandra, Naveen, Chhabra, Abha, Pandya, Mehul R.
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Kunchala, Ravi Kumar
Chandra, Naveen
Chhabra, Abha
Pandya, Mehul R.
description India is primarily concerned with comprehending regional carbon source-sink response in the context of changes in atmospheric CO2 concentrations or anthropogenic emissions. Recent advancements in high-resolution satellite's fine-scale XCO2 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 XCO2 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. The results show since the launch of OCO-2 in 2014, the number of monthly high-quality XCO2 soundings over India has grown nearly 100-fold compared to GOSAT, launched in 2009. Also, the discrepancy in XCO2 increase of 2.54(2.43) ppm/yr was observed in GOSAT (OCO-2) retrieval during an overlapping measurement period (2015–2021). Additionally, wavelet analysis indicated that the OCO-2 retrieval is able to capture a better frequency of local-scale XCO2 variability compared to GOSAT, owing to its high-resolution cloud-free XCO2 soundings, providing more well-defined regional-scale source-sink features. Furthermore, dominant spatial pattern of XCO2 variability observed over south and southeast of India in both satellites, with XCO2 semi-annual and annual variability more distinctly present in OCO-2 compared to GOSAT. A cross-correlation analysis suggested GOSAT XCO2 growth rate positively correlates with ENSO in different homogeneous monsoon regions of India, with ENSO leading the GOSAT XCO2 growth rate in all homogeneous regions by 3–9 months. The South Peninsular region sensitive to ENSO changes, especially during 2015–2016 ENSO event, where a decrease in CO2 uptake was observed is closely linked with precipitation, soil moisture, and temperature anomalies. However, regional climate parameters show a low correlation with XCO2 growth since CO2 is a long-lived well-mixed gas primarily having an imprint of large-scale transport in column CO2. [Display omitted] •The XCO2 sounding/month is 100-fold in OCO-2 than GOSAT over the Indian landmass.•The long-term (local) XCO2 variability is well captured in GOSAT (OCO-2).•ENSO's imprint on India's XCO2 growth rate is strongly evident in 2015–16.•South Peninsula (SP) XCO2 growth rate change more sensitive to ENSO changes.•Growth rate over SP is linked to gross primary productivity and
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Recent advancements in high-resolution satellite's fine-scale XCO2 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 XCO2 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. The results show since the launch of OCO-2 in 2014, the number of monthly high-quality XCO2 soundings over India has grown nearly 100-fold compared to GOSAT, launched in 2009. Also, the discrepancy in XCO2 increase of 2.54(2.43) ppm/yr was observed in GOSAT (OCO-2) retrieval during an overlapping measurement period (2015–2021). Additionally, wavelet analysis indicated that the OCO-2 retrieval is able to capture a better frequency of local-scale XCO2 variability compared to GOSAT, owing to its high-resolution cloud-free XCO2 soundings, providing more well-defined regional-scale source-sink features. Furthermore, dominant spatial pattern of XCO2 variability observed over south and southeast of India in both satellites, with XCO2 semi-annual and annual variability more distinctly present in OCO-2 compared to GOSAT. A cross-correlation analysis suggested GOSAT XCO2 growth rate positively correlates with ENSO in different homogeneous monsoon regions of India, with ENSO leading the GOSAT XCO2 growth rate in all homogeneous regions by 3–9 months. The South Peninsular region sensitive to ENSO changes, especially during 2015–2016 ENSO event, where a decrease in CO2 uptake was observed is closely linked with precipitation, soil moisture, and temperature anomalies. However, regional climate parameters show a low correlation with XCO2 growth since CO2 is a long-lived well-mixed gas primarily having an imprint of large-scale transport in column CO2. [Display omitted] •The XCO2 sounding/month is 100-fold in OCO-2 than GOSAT over the Indian landmass.•The long-term (local) XCO2 variability is well captured in GOSAT (OCO-2).•ENSO's imprint on India's XCO2 growth rate is strongly evident in 2015–16.•South Peninsula (SP) XCO2 growth rate change more sensitive to ENSO changes.•Growth rate over SP is linked to gross primary productivity and climate anomalies.</description><identifier>ISSN: 0048-9697</identifier><identifier>EISSN: 1879-1026</identifier><identifier>DOI: 10.1016/j.scitotenv.2023.166176</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>carbon ; Carbon dioxide ; climate ; Climate parameters ; El Niño-Southern Oscillation (ENSO) ; environment ; Growth rate ; India ; monsoon season ; satellites ; soil water ; temperature ; wavelet</subject><ispartof>The Science of the total environment, 2023-12, Vol.902, p.166176-166176, Article 166176</ispartof><rights>2023 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c381t-dcf93def0c05263c174268719b4d3e92714d81216383ccbb04fa574ed0f126313</citedby><cites>FETCH-LOGICAL-c381t-dcf93def0c05263c174268719b4d3e92714d81216383ccbb04fa574ed0f126313</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0048969723048015$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Das, Chiranjit</creatorcontrib><creatorcontrib>Kunchala, Ravi Kumar</creatorcontrib><creatorcontrib>Chandra, Naveen</creatorcontrib><creatorcontrib>Chhabra, Abha</creatorcontrib><creatorcontrib>Pandya, Mehul R.</creatorcontrib><title>Characterizing the regional XCO2 variability and its association with ENSO over India inferred from GOSAT and OCO-2 satellite observations</title><title>The Science of the total environment</title><description>India is primarily concerned with comprehending regional carbon source-sink response in the context of changes in atmospheric CO2 concentrations or anthropogenic emissions. 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Additionally, wavelet analysis indicated that the OCO-2 retrieval is able to capture a better frequency of local-scale XCO2 variability compared to GOSAT, owing to its high-resolution cloud-free XCO2 soundings, providing more well-defined regional-scale source-sink features. Furthermore, dominant spatial pattern of XCO2 variability observed over south and southeast of India in both satellites, with XCO2 semi-annual and annual variability more distinctly present in OCO-2 compared to GOSAT. A cross-correlation analysis suggested GOSAT XCO2 growth rate positively correlates with ENSO in different homogeneous monsoon regions of India, with ENSO leading the GOSAT XCO2 growth rate in all homogeneous regions by 3–9 months. The South Peninsular region sensitive to ENSO changes, especially during 2015–2016 ENSO event, where a decrease in CO2 uptake was observed is closely linked with precipitation, soil moisture, and temperature anomalies. However, regional climate parameters show a low correlation with XCO2 growth since CO2 is a long-lived well-mixed gas primarily having an imprint of large-scale transport in column CO2. [Display omitted] •The XCO2 sounding/month is 100-fold in OCO-2 than GOSAT over the Indian landmass.•The long-term (local) XCO2 variability is well captured in GOSAT (OCO-2).•ENSO's imprint on India's XCO2 growth rate is strongly evident in 2015–16.•South Peninsula (SP) XCO2 growth rate change more sensitive to ENSO changes.•Growth rate over SP is linked to gross primary productivity and climate anomalies.</description><subject>carbon</subject><subject>Carbon dioxide</subject><subject>climate</subject><subject>Climate parameters</subject><subject>El Niño-Southern Oscillation (ENSO)</subject><subject>environment</subject><subject>Growth rate</subject><subject>India</subject><subject>monsoon season</subject><subject>satellites</subject><subject>soil water</subject><subject>temperature</subject><subject>wavelet</subject><issn>0048-9697</issn><issn>1879-1026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqNkcFO3DAQhq2KSl0oz1Afe8nW42Rt57iKKCCh5gCVuFmOPWG92o2pbVLBI_Sp62UrrtSXuXz_p_H8hHwBtgQG4tt2mazPIeM0Lznj9RKEACk-kAUo2VbAuDghC8YaVbWilZ_IaUpbVp5UsCB_uo2JxmaM_sVPDzRvkEZ88GEyO3rf9ZzOJnoz-J3Pz9RMjvqcqEkpWG9ywehvnzf04sdtT8OMkV5PzhvqpxFjREfHGPb0sr9d372G-66vOE0m464IkYYhYZxfRekz-TiaXcLzf_OM_Px-cdddVTf95XW3vqlsrSBXzo5t7XBklq24qC3IhgsloR0aV2PLJTROAQdRq9raYWDNaFayQcdGKDzUZ-Tr0fsYw68nTFnvfbJlITNheEqaKyUFNKL5H3TFirHcuaDyiNoYUoo46sfo9yY-a2D6UJTe6rei9KEofSyqJNfHJJZPzx7jgcPJovMRbdYu-HcdfwFzUaDi</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Das, Chiranjit</creator><creator>Kunchala, Ravi Kumar</creator><creator>Chandra, Naveen</creator><creator>Chhabra, Abha</creator><creator>Pandya, Mehul R.</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20231201</creationdate><title>Characterizing the regional XCO2 variability and its association with ENSO over India inferred from GOSAT and OCO-2 satellite observations</title><author>Das, Chiranjit ; Kunchala, Ravi Kumar ; Chandra, Naveen ; Chhabra, Abha ; Pandya, Mehul R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c381t-dcf93def0c05263c174268719b4d3e92714d81216383ccbb04fa574ed0f126313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>carbon</topic><topic>Carbon dioxide</topic><topic>climate</topic><topic>Climate parameters</topic><topic>El Niño-Southern Oscillation (ENSO)</topic><topic>environment</topic><topic>Growth rate</topic><topic>India</topic><topic>monsoon season</topic><topic>satellites</topic><topic>soil water</topic><topic>temperature</topic><topic>wavelet</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Das, Chiranjit</creatorcontrib><creatorcontrib>Kunchala, Ravi Kumar</creatorcontrib><creatorcontrib>Chandra, Naveen</creatorcontrib><creatorcontrib>Chhabra, Abha</creatorcontrib><creatorcontrib>Pandya, Mehul R.</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>The Science of the total environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Das, Chiranjit</au><au>Kunchala, Ravi Kumar</au><au>Chandra, Naveen</au><au>Chhabra, Abha</au><au>Pandya, Mehul R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterizing the regional XCO2 variability and its association with ENSO over India inferred from GOSAT and OCO-2 satellite observations</atitle><jtitle>The Science of the total environment</jtitle><date>2023-12-01</date><risdate>2023</risdate><volume>902</volume><spage>166176</spage><epage>166176</epage><pages>166176-166176</pages><artnum>166176</artnum><issn>0048-9697</issn><eissn>1879-1026</eissn><abstract>India is primarily concerned with comprehending regional carbon source-sink response in the context of changes in atmospheric CO2 concentrations or anthropogenic emissions. Recent advancements in high-resolution satellite's fine-scale XCO2 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 XCO2 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. The results show since the launch of OCO-2 in 2014, the number of monthly high-quality XCO2 soundings over India has grown nearly 100-fold compared to GOSAT, launched in 2009. Also, the discrepancy in XCO2 increase of 2.54(2.43) ppm/yr was observed in GOSAT (OCO-2) retrieval during an overlapping measurement period (2015–2021). Additionally, wavelet analysis indicated that the OCO-2 retrieval is able to capture a better frequency of local-scale XCO2 variability compared to GOSAT, owing to its high-resolution cloud-free XCO2 soundings, providing more well-defined regional-scale source-sink features. Furthermore, dominant spatial pattern of XCO2 variability observed over south and southeast of India in both satellites, with XCO2 semi-annual and annual variability more distinctly present in OCO-2 compared to GOSAT. A cross-correlation analysis suggested GOSAT XCO2 growth rate positively correlates with ENSO in different homogeneous monsoon regions of India, with ENSO leading the GOSAT XCO2 growth rate in all homogeneous regions by 3–9 months. The South Peninsular region sensitive to ENSO changes, especially during 2015–2016 ENSO event, where a decrease in CO2 uptake was observed is closely linked with precipitation, soil moisture, and temperature anomalies. However, regional climate parameters show a low correlation with XCO2 growth since CO2 is a long-lived well-mixed gas primarily having an imprint of large-scale transport in column CO2. [Display omitted] •The XCO2 sounding/month is 100-fold in OCO-2 than GOSAT over the Indian landmass.•The long-term (local) XCO2 variability is well captured in GOSAT (OCO-2).•ENSO's imprint on India's XCO2 growth rate is strongly evident in 2015–16.•South Peninsula (SP) XCO2 growth rate change more sensitive to ENSO changes.•Growth rate over SP is linked to gross primary productivity and climate anomalies.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.scitotenv.2023.166176</doi><tpages>1</tpages></addata></record>
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subjects carbon
Carbon dioxide
climate
Climate parameters
El Niño-Southern Oscillation (ENSO)
environment
Growth rate
India
monsoon season
satellites
soil water
temperature
wavelet
title Characterizing the regional XCO2 variability and its association with ENSO over India inferred from GOSAT and OCO-2 satellite observations
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