the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Lower-cost eddy covariance for CO2 and H2O fluxes over grassland and agroforestry
Abstract. Eddy covariance (EC) measurements can provide direct and non-invasive ecosystem measurements of the exchange of energy, water (H2O) and carbon dioxide (CO2). However, conventional eddy covariance (CON-EC) setups (ultrasonic anemometer and infrared gas analyser) can be expensive, which recently led to the development of lower-cost eddy covariance (LC-EC) setups. In the current study we test the performance of a LC-EC setup for CO2 and H2O flux measurements at an agroforestry and adjacent grassland site in a temperate ecosystem in northern Germany. The closed-path LC-EC setup was compared with a CON-EC setup using an enclosed-path gas analyser (LI-7200, LI-COR Inc., Lincoln, NE, USA). The LC-EC CO2 fluxes were lower compared to CON-EC by 7–13 % (R2 = 0.91–0.95) and the latent heat fluxes were higher by 2–3 % in 2020 and 23 % in 2021 (R2 = 0.84–0.90). The large difference between latent heat fluxes in 2021, seems to be a consequence of the lower LE fluxes measured by the CON-EC. Due to the slower response sensors of the LC-EC setup, the (co)spectra of the LC-EC were more attenuated in the high-frequency range compared to the CON-EC. This stronger attenuation of the LC-EC requires a larger spectral correction and as a consequence larger differences between spectral correction factors of different spectral correction methods. At the agroforestry site where the flux tower was taller compared to the grassland, the attenuation was lower, because the cospectrum peak and energy-containing eddies shift to lower frequencies which the LC-EC can measure. With the LC-EC and CON-EC systems was shown that the agroforestry site had a 2.3 times higher carbon uptake compared to the grassland site and both had an equal evapotranspiration when simultaneously measured for one month. Our results show that LC-EC has the potential to measure EC fluxes at various land-use systems for approximately 25 % of the costs of a CON-EC system.
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RC1: 'Comment on amt-2024-30', Anonymous Referee #1, 07 Apr 2024
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Review of Lower-cost eddy covariance for CO2 and H2O fluxes over grassland and agroforestry, submitted to AMTD by van Ramshorst et al.
Summary
This manuscript presents comparisons between lower cost and conventional eddy covariance instrumentation at two landscapes – a grassland and an agroforestry site in Germany. The work shows compelling evidence that the lower cost system can be successful at measuring CO2 and H2O fluxes in these landscapes. The work is of interest to the readership of AMT and is of generally good quality. However, I think it can be improved significantly through more hypothesis driven objectives, clearer writing, and more concise presentation. Some logging errors (a sonic at 2Hz instead of 20Hz) should be more adequately addressed. I have major, minor, and technical comments that should be considered. I rate each of its scientific significance, scientific quality, and presentation quality as “Good”.
Major comments
- We don’t learn until L279 that in 2020 the CON-EC system is sampled at 2 Hz but logged at 20 Hz, so the values are repeated ten times, which causes harmonic oscillations. This needs to be addressed in the methods and more explicitly considered. I’d tend to just report the fluxes and cospectra from 2Hz and not 20, but maybe there are other ways to do this (e.g. focusing on spectra from the gas analyzers). Even consider really emphasizing the 2021 dataset through the paper and then using 2020 for a more supportive role.
- There are many graphs – are they all needed?
- Fig 11 is not gap-filled and loses a lot of value that way. Can a simple gap-filling approach (e.g. with REDDYPROC) be used to assess the impact of these site and instrument differences in a real use-case?
Minor comments
- The introduction is 6 paragraphs and could probably be a bit more concise. Eddy covariance isn’t mentioned till the end of paragraph 2 and defined in paragraph 3. I would tend to combine everything before L32 into paragraph 1 (and write more compactly); perhaps L42-59 can also be more integrated and concise (e.g. the repetition of L51-52 – spectral…spectral, corrections…compensate; or L59 “which is an additional source of uncertainty in itself”).
- L60 the introduction could finish with clearer hypotheses about the expected findings, rather than objectives only.
- L90 or so could add specifications on precision of the instruments, not just their response times
- L99 and 114 consider commenting on why the intake is 20cm below the sonic anemometer and risks of spectral attenuation since they would be sampling eddies at different wind velocities.
- L151 could add some brad description of the difference in theoretical background or implementation of the Horst and Ibrom and HL09 approaches
- L198 have the residuals of the regression always been tested for normality?
- L206 and elsewhere – there are a lot of multiple “respectively” chains and perhaps this and other sentences like it can be simplified
- L219, 220, 224 all compare the systems or the sites, and the words “lower relative” or “higher” can be quantified with percent or absolute differences.
- L295 it’s not clear to me – the most affected…by aliasing?
- Fig 4 could include bias – both average and in different ranges (e.g. in the positive and negative FCO2 ranges separately)
- Fig 6 and likely elsewhere (e.g. Fig 7 and Table 3), “EC” is used rather than “CON-EC”. I’d prefer the latter to be explicit and consistent throughout the text.
- Fig 5a legend for LC-EC should be a green line; caption should have “light blue” as two words rather than one.
- L345 consider more strongly highlighting that there is a 10-15% difference in results based on the correction method
- L462-470 could almost be in the intro to lead to hypothesis-driven objectives
- L494 explain why the bowen ratio decreased in these conditions
- L537 be clearer on where and when this difference occurred
- L549 I think “lower in magnitude” and not in absolute number (since the LC system is higher at noon than the CON system in Fig 3 for CO2 flux)
Technical comments
Generally there are many small issues in word order, punctuation and orthography, and vague writing that can be clarified and improved. I’ve noted some here.
- L3 could add who this lower cost system is made by? (equivalent to L5 reference to Licor)
- L8 no comma needed before seems
- L11-12 is both vague and wordy (it’s rather obvious that stronger attenuation requires larger spectral correction, and that thus the factors are amplified; perhaps there are better ways of saying this – more quantitative, more hypothesis oriented)
- L15 ET is never exactly ‘equal’ – perhaps “not statistically different” or similar
- L19 no comma needed after climate change, “the” not needed before increased
- L32 consider “Direct observations with” before “eddy covariance”
- L37 remove of
- L77 the quotes should go after agroforestry and not project
- L78 “if and” can be removed
- L81 the comma after tower is not needed
- L94 add s to time
- L104 “This” is ambiguous; in general it should be avoided without a noun following it
- L140 move “a” to after “narrow”
- Table 2 could add tau-nom
- L198 chagne were to was
- L230 “in the current paper” isn’t needed.
- L286, change look differently to looks different.
- L320, 321, 325, consider “varied” instead of was/were varying
- L360 remove also
- L369 clarify “This” and consider changing “led to consistently.”
- L374 “which” would grammatically refer to the current LC-EC setup, but makes more sense in the sentence to refer to the predecessor. Reword sentence.
- L379 I think “led” not “lead”
- L397 remove exact
- Fig 11 caption – add “AF” after agroforestry (consider also defining ET)
- L408 remove very
- L414 care not carefulness
- L420 remove comma after site
- L489 could remind us how those results are poor
- L490 remove “of all”
- L491 consider predicts instead of shows and removing probably
- L492 use either rather than both
- L509-510 – be more concise
- L536 add such before as
Citation: https://doi.org/10.5194/amt-2024-30-RC1
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