the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Multi-decadal atmospheric carbon dioxide measurements in Central Europe, Hungary
Abstract. The paper reviews and evaluates a 30-year-long atmospheric CO2 data series measured at Hegyhátsál tall-tower greenhouse gas monitoring site, a member of WMO GAW, NOAA, and ICOS networks (id. code: HUN). The paper also gives the technical description of the monitoring system, and that of the physical environment of the station. This low elevation (248 m above m.s.l.), mid-continental Central European site shows a 3.90±0.83 µmol mol‑1 offset relative to the latitudinally representative marine boundary layer reference concentration presumably due to the European net anthropogenic emissions. The long-term trend (2.20 µmol mol‑1 year‑1) closely follows the global tendencies. In the concentration growth rate, the ENSO effect is clearly detectable with a 6–7 months lag-time. The summer diurnal concentration amplitude is slightly decreasing due to the faster-than-average increase of the nighttime concentrations, which is related to the warming climate. The warming climate also caused a 0.96±0.41 day year‑1 advance in the beginning of the summer CO2-deficit season in the first half of the measurement period, which did not continue later.
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RC1: 'Comment on amt-2024-29', Anonymous Referee #1, 23 Apr 2024
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Review of “Multi-decadal atmospheric carbon dioxide measurements in Central Europe, Hungary” by L. Haszpra, 2024
General:
The author of the manuscript presents and discusses long-term CO2 measurements at a Central European station in Hungary. I enjoyed reading it. The manuscript is nicely written and organized and can be considered for publication with only minor changes outlined below.
Minor points:
L 10 …gives the technical description and its changes over time…
L 10 …physical environment
What does this mean? what about other conditions like to agricultural, biological situations?L 16-17 You may state by how many days the growing period has lengthened over the entire measurement period.
L 63 yes, but what do you tell us about this? In the western European part, there are a couple of more southern stations!
L 68-69 I guess it is enough if you state this in section 2.2.
L 74 air intakes...
How many and at which levels? This information can be given already here. At least give the number of air intakes or move the sentence of line 131-132 to here.L 94-96 These numbers are very low, what about the uncertainty of these values? The values tell us that there is no influence during winter from local emissions.
L 108-109 Reference: I could not find this information. You may consider a reference directly to the original publication where these classification are defined.
L 153-154 Also the NDIR systems can be run as absolute measurement devices. It is a question of calibration.
Fig. 3 Resolution of the graph should be increased!
L 201 What are the intake 1 and intake 2?
L 201-203 This is somewhat misleading as in this case, you could use all 2-minute values? Of course, this does not make sense as it is required to flush the Picarro measurement cell.
L 218 Calibration: this is rather infrequent with monthly calibration
L 220 What about the target tank concentration measurements? Or stability of standard gas raw measurements
Fig. 4 I guess you have averaged all days of the corresponding month of the complete data series. It would be good to add for each height uncertainty range by light shadowing using the same color.
Fig. 5 The same here, add the range of variation by color shadowing
L 311-312 You might move this sentence after the next sentence and start with: Furthermore, according to...
L 321-323 How was this calculated?
Fig. 6 The shift of the red dashed line….
if the increase is uniformFig. 8 Add see text for reference
Fig. 9 Which level have you used here? The lowest I guess. Anyhow write it.
L 415 NDVI values …add reference
Fig. 10 Define summer and winter by specifying the summer (months of...) as well as winter (months of ...)
L 439 This number could be checked by radiocarbon measurements in comparison with those of a marine boundary layer site.
L 451 Ocean phenomenon, how does it influence the terrestrial site as strongly as the marine boundary layer? (Fig. 13)
Fig. 13 Move the y-axis to the left
Citation: https://doi.org/10.5194/amt-2024-29-RC1
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