Assessing the regional surface influence through Backward Lagrangian Dispersion Models for aircraft CO<sub>2</sub> vertical profiles observations in NE Spain

Abstract

Abstract. In this study the differences in the measured atmospheric CO 2 mixing ratio at three aircraft profiling sites in NE Spain separated by 60 km are analyzed in regard to

First estimation of CH4fluxes using the222Rn Tracer Method over the central Iberian Peninsula

“…Fluxes of CH 4 obtained by this analysis have been compared with GHGs emission inventories results, such as the EDGAR map (EDGAR [13]) and with results obtained in past studies using the same RTM method. Footprint analysis performed with FLEXPART model v8.2 (Stohl et al [14]; Font et al [15]) at 300m a.g.l. and with ECMWF data were used in order to calculate the catchment areas of methane for episode included in the RTM analysis.…”

Winter crop CO2 uptake inferred from CONTRAIL measurements over Delhi, India

“…Previous studies demonstrated that with aircraft profiling measurements at a certain time interval (e.g., morning and afternoon), surface flux can be calculated as temporal change of CO 2 amount in the CBL unless advective contribution from a distant source is large [ Shashkov et al ., ]. Such profile measurements at different time frames are not available in our data over DEL; however, it is inferred that CO 2 variation in the CBL, which is represented by Δ V CO2 in this study, is under dominant influence of local to regional scale (10 1 –10 3 km) surface fluxes [ Shashkov et al ., ; Font et al ., ]. In our present study, the Δ V CO2 variability in the CBL is influenced by two major local fluxes: the urban emission from Delhi and the agricultural ecosystem exchange around Delhi.…”

“…The unique vertical profiles obtained over Delhi constitute a good example. One possible future application is to quantify CO 2 emissions from worldwide megacities by optimizing emission estimates with the CONTRAIL CO 2 data over airports, since variations of atmospheric trace gases in the CBL are dominantly caused by local to regional fluxes as shown in this study and previously [ Font et al ., ; Boschetti et al ., ].…”

“…In particular, the Delhi area presents a pertinent case since the flux is a near-simultaneous mixture of both the agricultural and urban CO 2 emissions. Furthermore, quantitative analyses of the impact of landscape changes associated with expansion and intensification of agricultural activities in India [Gray et al, 2014;Zeng et al, 2014] on the regional carbon budget [Patra et al, 2013] would lead to better subgrid-scale parameterizations in global climate models of regional carbon exchange associated with changing agricultural practices, as well as CO 2 emissions associated with increasing fossil fuel consumption [Boden et al, 2013] and urbanization [Duren and Miller, 2012 , 43, 11,859-11,866, doi:10.1002 In this study, we analyzed vertical profiles of atmospheric CO 2 concentration over Delhi, India, measured on board commercial airliners as part of the CONTRAIL (Comprehensive Observation Network for Trace gases by Airliners) project. Influence of the rabi crop agriculture in the northwest Indo-Gangetic Plains and of urban CO 2 emissions from the Delhi metropolitan area is discussed in the context of their relative contributions to the regional carbon budget.…”