TY - JOUR
T1 - Data treatment and corrections for estimating H2O and CO2 isotope fluxes from high-frequency observations
AU - Moonen, Robbert P.J.
AU - Adnew, Getachew A.
AU - Hartogensis, Oscar K.
AU - Vilà-Guerau De Arellano, Jordi
AU - Bonell Fontas, David J.
AU - Röckmann, Thomas
N1 - Funding Information:
RPJM was responsible for the data acquisition, data processing, data analysis, and writing. Advanced technical support was provided by DJBF, GAA, and OKH. Advanced scientific support was provided by TR, OKH, JVGdA, and GAA. All authors contributed to the finalisation of the text.
Funding Information:
This research has been supported by the Nederlandse Organisatie voor Wetenschappelijk Onderzoek (grant no. OCENW.KLEIN.407).
Publisher Copyright:
© Copyright:
PY - 2023/12/4
Y1 - 2023/12/4
N2 - Current understanding of land-Atmosphere exchange fluxes is limited by the fact that available observational techniques mainly quantify net fluxes, which are the sum of generally larger, bidirectional fluxes that partially cancel out. As a consequence, validation of gas exchange fluxes applied in models is challenging due to the lack of ecosystem-scale exchange flux measurements partitioned into soil, plant, and atmospheric components. One promising experimental method to partition measured turbulent fluxes uses the exchange-process-dependent isotopic fractionation of molecules like CO2 and H2O. When applying this method at a field scale, an isotope flux (flux) needs to be measured. Here, we present and discuss observations made during the LIAISE (Land surface Interactions with the Atmosphere over the Iberian Semi-Arid Environment) 2021 field campaign using an eddy covariance (EC) system coupled to two laser spectrometers for high-frequency measurement of the isotopic composition of H2O and CO2. This campaign took place in the summer of 2021 in the irrigated Ebro River basin near Mollerussa, Spain, embedded in a semi-Arid region. We present a systematic procedure to scrutinise and analyse measurements of the-flux variable, which plays a central role in flux partitioning. Our experimental data indicated a larger relative signal loss in the fluxes of H2O compared to the net ecosystem flux of H2O, while this was not true for CO2. Furthermore, we find that mole fractions and isotope ratios measured with the same instrument can be offset in time by more than a minute for the H2O isotopologues due to the isotopic memory effect. We discuss how such artefacts can be detected and how they impact flux partitioning. We argue that these effects are likely due to condensation of water on a cellulose filter in our inlet system. Furthermore, we show that these artefacts can be resolved using physically sound corrections for inlet delays and high-frequency loss. Only after such corrections and verifications are made can ecosystem-scale fluxes be partitioned using isotopic fluxes as constraints, which in turn allows for conceptual land-Atmosphere exchange models to be validated.
AB - Current understanding of land-Atmosphere exchange fluxes is limited by the fact that available observational techniques mainly quantify net fluxes, which are the sum of generally larger, bidirectional fluxes that partially cancel out. As a consequence, validation of gas exchange fluxes applied in models is challenging due to the lack of ecosystem-scale exchange flux measurements partitioned into soil, plant, and atmospheric components. One promising experimental method to partition measured turbulent fluxes uses the exchange-process-dependent isotopic fractionation of molecules like CO2 and H2O. When applying this method at a field scale, an isotope flux (flux) needs to be measured. Here, we present and discuss observations made during the LIAISE (Land surface Interactions with the Atmosphere over the Iberian Semi-Arid Environment) 2021 field campaign using an eddy covariance (EC) system coupled to two laser spectrometers for high-frequency measurement of the isotopic composition of H2O and CO2. This campaign took place in the summer of 2021 in the irrigated Ebro River basin near Mollerussa, Spain, embedded in a semi-Arid region. We present a systematic procedure to scrutinise and analyse measurements of the-flux variable, which plays a central role in flux partitioning. Our experimental data indicated a larger relative signal loss in the fluxes of H2O compared to the net ecosystem flux of H2O, while this was not true for CO2. Furthermore, we find that mole fractions and isotope ratios measured with the same instrument can be offset in time by more than a minute for the H2O isotopologues due to the isotopic memory effect. We discuss how such artefacts can be detected and how they impact flux partitioning. We argue that these effects are likely due to condensation of water on a cellulose filter in our inlet system. Furthermore, we show that these artefacts can be resolved using physically sound corrections for inlet delays and high-frequency loss. Only after such corrections and verifications are made can ecosystem-scale fluxes be partitioned using isotopic fluxes as constraints, which in turn allows for conceptual land-Atmosphere exchange models to be validated.
U2 - 10.5194/amt-16-5787-2023
DO - 10.5194/amt-16-5787-2023
M3 - Journal article
AN - SCOPUS:85179431820
SN - 1867-1381
VL - 16
SP - 5787
EP - 5810
JO - Atmospheric Measurement Techniques
JF - Atmospheric Measurement Techniques
IS - 23
ER -