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2. The ABCflux database: Arctic–boreal CO2 flux observations and ancillary information aggregated to monthly time steps across terrestrial ecosystems

Author

Virkkala, Anna-Maria, Natali, Susan M, Rogers, Brendan M, Watts, Jennifer D, Savage, Kathleen, Connon, Sara June, Mauritz, Marguerite, Schuur, Edward AG, Peter, Darcy, Minions, Christina, Nojeim, Julia, Commane, Roisin, Emmerton, Craig A, Goeckede, Mathias, Helbig, Manuel, Holl, David, Iwata, Hiroki, Kobayashi, Hideki, Kolari, Pasi, López-Blanco, Efrén, Marushchak, Maija E, Mastepanov, Mikhail, Merbold, Lutz, Parmentier, Frans-Jan W, Peichl, Matthias, Sachs, Torsten, Sonnentag, Oliver, Ueyama, Masahito, Voigt, Carolina, Aurela, Mika, Boike, Julia, Celis, Gerardo, Chae, Namyi, Christensen, Torben R, Bret-Harte, M Syndonia, Dengel, Sigrid, Dolman, Han, Edgar, Colin W, Elberling, Bo, Euskirchen, Eugenie, Grelle, Achim, Hatakka, Juha, Humphreys, Elyn, Järveoja, Järvi, Kotani, Ayumi, Kutzbach, Lars, Laurila, Tuomas, Lohila, Annalea, Mammarella, Ivan, Matsuura, Yojiro, Meyer, Gesa, Nilsson, Mats B, Oberbauer, Steven F, Park, Sang-Jong, Petrov, Roman, Prokushkin, Anatoly S, Schulze, Christopher, St. Louis, Vincent L, Tuittila, Eeva-Stiina, Tuovinen, Juha-Pekka, Quinton, William, Varlagin, Andrej, Zona, Donatella, and Zyryanov, Viacheslav I

Subjects
Earth Sciences, Physical Geography and Environmental Geoscience, Atmospheric Sciences, Geoinformatics, Geochemistry, Atmospheric sciences, Physical geography and environmental geoscience
Abstract

Past efforts to synthesize and quantify the magnitude and change in carbon dioxide (CO2) fluxes in terrestrial ecosystems across the rapidly warming Arctic-boreal zone (ABZ) have provided valuable information but were limited in their geographical and temporal coverage. Furthermore, these efforts have been based on data aggregated over varying time periods, often with only minimal site ancillary data, thus limiting their potential to be used in large-scale carbon budget assessments. To bridge these gaps, we developed a standardized monthly database of Arctic-boreal CO2 fluxes (ABCflux) that aggregates in situ measurements of terrestrial net ecosystem CO2 exchange and its derived partitioned component fluxes: gross primary productivity and ecosystem respiration. The data span from 1989 to 2020 with over 70 supporting variables that describe key site conditions (e.g., vegetation and disturbance type), micrometeorological and environmental measurements (e.g., air and soil temperatures), and flux measurement techniques. Here, we describe these variables, the spatial and temporal distribution of observations, the main strengths and limitations of the database, and the potential research opportunities it enables. In total, ABCflux includes 244 sites and 6309 monthly observations; 136 sites and 2217 monthly observations represent tundra, and 108 sites and 4092 observations represent the boreal biome. The database includes fluxes estimated with chamber (19% of the monthly observations), snow diffusion (3%) and eddy covariance (78%) techniques. The largest number of observations were collected during the climatological summer (June-August; 32%), and fewer observations were available for autumn (September-October; 25%), winter (December-February; 18%), and spring (March-May; 25%). ABCflux can be used in a wide array of empirical, remote sensing and modeling studies to improve understanding of the regional and temporal variability in CO2 fluxes and to better estimate the terrestrial ABZ CO2 budget. ABCflux is openly and freely available online (Virkkala et al., 2021b, 10.3334/ORNLDAAC/1934). Copyright:

Published
2022

5. Towards long-term standardised carbon and greenhouse gas observations for monitoring Europe’s terrestrial ecosystems: a review

Author

Franz, Daniela, Acosta, Manuel, Altimir, Núria, Arriga, Nicola, Arrouays, Dominique, Aubinet, Marc, Aurela, Mika, Ayres, Edward, López-Ballesteros, Ana, Barbaste, Mireille, Berveiller, Daniel, Biraud, Sébastien, Boukir, Hakima, Brown, Timothy, Brümmer, Christian, Buchmann, Nina, Burba, George, Carrara, Arnaud, Cescatti, Allessandro, Ceschia, Eric, Clement, Robert, Cremonese, Edoardo, Crill, Patrick, Darenova, Eva, Dengel, Sigrid, D’Odorico, Petra, Filippa, Gianluca, Fleck, Stefan, Fratini, Gerardo, Fuß, Roland, Gielen, Bert, Gogo, Sébastien, Grace, John, Graf, Alexander, Grelle, Achim, Gross, Patrick, Grünwald, Thomas, Haapanala, Sami, Hehn, Markus, Heinesch, Bernard, Heiskanen, Jouni, Herbst, Mathias, Herschlein, Christine, Hörtnagl, Lukas, Hufkens, Koen, Ibrom, Andreas, Jolivet, Claudy, Joly, Lilian, Jones, Michael, Kiese, Ralf, Klemedtsson, Leif, Kljun, Natascha, Klumpp, Katja, Kolari, Pasi, Kolle, Olaf, Kowalski, Andrew, Kutsch, Werner, Laurila, Tuomas, de Ligne, Anne, Linder, Sune, Lindroth, Anders, Lohila, Annalea, Longdoz, Bernhard, Mammarella, Ivan, Manise, Tanguy, Jiménez, Sara Maraňón, Matteucci, Giorgio, Mauder, Matthias, Meier, Philip, Merbold, Lutz, Mereu, Simone, Metzger, Stefan, Migliavacca, Mirco, Mölder, Meelis, Montagnani, Leonardo, Moureaux, Christine, Nelson, David, Nemitz, Eiko, Nicolini, Giacomo, Nilsson, Mats B, de Beeck, Maarten Op, Osborne, Bruce, Löfvenius, Mikaell Ottosson, Pavelka, Marian, Peichl, Matthias, Peltola, Olli, Pihlatie, Mari, Pitacco, Andrea, Pokorný, Radek, Pumpanen, Jukka, Ratié, Céline, Rebmann, Corinna, Roland, Marilyn, Sabbatini, Simone, Saby, Nicolas PA, Saunders, Matthew, Schmid, Hans Peter, Schrumpf, Marion, Sedlák, Pavel, and Ortiz, Penelope Serrano

Subjects
Agriculture, Land and Farm Management, Agricultural, Veterinary and Food Sciences, Climate Action, ICOS, GHG exchange, carbon cycle, standardised monitoring, observational network, Agronomy & Agriculture, Agriculture, land and farm management
Abstract

Research infrastructures play a key role in launching a new generation of integrated long-Term, geographically distributed observation programmes designed to monitor climate change, better understand its impacts on global ecosystems, and evaluate possible mitigation and adaptation strategies. The pan-European Integrated Carbon Observation System combines carbon and greenhouse gas (GHG; CO 2 , CH 4 , N 2 O, H 2 O) observations within the atmosphere, terrestrial ecosystems and oceans. High-precision measurements are obtained using standardised methodologies, are centrally processed and openly available in a traceable and verifiable fashion in combination with detailed metadata. The Integrated Carbon Observation System ecosystem station network aims to sample climate and land-cover variability across Europe. In addition to GHG flux measurements, a large set of complementary data (including management practices, vegetation and soil characteristics) is collected to support the interpretation, spatial upscaling and modelling of observed ecosystem carbon and GHG dynamics. The applied sampling design was developed and formulated in protocols by the scientific community, representing a trade-off between an ideal dataset and practical feasibility. The use of open-Access, high-quality and multi-level data products by different user communities is crucial for the Integrated Carbon Observation System in order to achieve its scientific potential and societal value.

Published
2018

6. Effects of drought and meteorological forcing on carbon and water fluxes in Nordic forests during the dry summer of 2018

Author

Lindroth, Anders, Holst, Jutta, Linderson, Maj-Lena, Aurela, Mika, Biermann, Tobias, Heliasz, Michal, Chi, Jinshu, Ibrom, Andreas, Kolari, Pasi, Klemedtsson, Leif, Krasnova, Alisa, Laurila, Tuomas, Lehner, Irene, Lohila, Annalea, Mammarella, Ivan, Mölder, Meelis, Löfvenius, Mikaell Ottosson, Peichl, Matthias, Pilegaard, Kim, Soosaar, Kaido, Vesala, Timo, Vestin, Patrik, Weslien, Per, and Nilsson, Mats

Published
2020

7. Early snowmelt significantly enhances boreal springtime carbon uptake.

Author

Pulliainen, Jouni, Aurela, Mika, Laurila, Tuomas, Aalto, Tuula, Takala, Matias, Salminen, Miia, Kulmala, Markku, Barr, Alan, Heimann, Martin, Lindroth, Anders, Laaksonen, Ari, Derksen, Chris, Mäkelä, Annikki, Markkanen, Tiina, Lemmetyinen, Juha, Susiluoto, Jouni, Dengel, Sigrid, Mammarella, Ivan, Tuovinen, Juha-Pekka, and Vesala, Timo

Subjects
carbon uptake, earth observation, snowmelt
Abstract

We determine the annual timing of spring recovery from space-borne microwave radiometer observations across northern hemisphere boreal evergreen forests for 1979-2014. We find a trend of advanced spring recovery of carbon uptake for this period, with a total average shift of 8.1 d (2.3 d/decade). We use this trend to estimate the corresponding changes in gross primary production (GPP) by applying in situ carbon flux observations. Micrometeorological CO2 measurements at four sites in northern Europe and North America indicate that such an advance in spring recovery would have increased the January-June GPP sum by 29 g⋅C⋅m-2 [8.4 g⋅C⋅m-2 (3.7%)/decade]. We find this sensitivity of the measured springtime GPP to the spring recovery to be in accordance with the corresponding sensitivity derived from simulations with a land ecosystem model coupled to a global circulation model. The model-predicted increase in springtime cumulative GPP was 0.035 Pg/decade [15.5 g⋅C⋅m-2 (6.8%)/decade] for Eurasian forests and 0.017 Pg/decade for forests in North America [9.8 g⋅C⋅m-2 (4.4%)/decade]. This change in the springtime sum of GPP related to the timing of spring snowmelt is quantified here for boreal evergreen forests.

Published
2017

10. Increasing Methane Emissions and Widespread Cold‐Season Release From High‐Arctic Regions Detected Through Atmospheric Measurements.

Author

Ward, Rebecca H., Sweeney, Colm, Miller, John B., Goeckede, Mathias, Laurila, Tuomas, Hatakka, Juha, Ivakov, Viktor, Sasakawa, Motoki, Machida, Toshinobu, Morimoto, Shinji, Goto, Daisuke, and Ganesan, Anita L.

Subjects
ATMOSPHERIC methane, CLIMATE change mitigation, ATMOSPHERIC transport, ATMOSPHERIC models, METHANE, EMISSION inventories
Abstract

Rising Arctic temperatures pose a threat to the large carbon stores trapped in Arctic permafrost. To assess methane emissions in high‐Arctic regions, we analyzed atmospheric data from Alaska and Siberia using two methods: (a) a wind sector approach to calculate emission changes based on concentration enhancements using wind direction, and (b) an inversion method utilizing a high‐resolution atmospheric transport model. Incorporating data after 2015, we observed a significant rise in methane emissions (0.018 ± 0.005 Tg yr−2 from 2000 to 2021) from Alaska's North Slope, indicating a shift from previous analyses. We find 34%–50% of yearly emissions occurred in the late season (September–December) consistently across multiple years and regions, which is historically underestimated in models and inventories. Our findings reveal significant changes occurring in the Arctic, highlighting the crucial role of long‐term atmospheric measurements in monitoring the region, especially during the cold season. Plain Language Summary: The Arctic is undergoing dramatic changes with temperatures increasing at four times the global average. This increase in temperature threatens to thaw the large stores of frozen carbon in Arctic soils which can be released as methane, a more potent greenhouse gas than carbon dioxide. We use measurements of methane in the atmosphere from four Arctic Ocean coastal stations to quantify emissions from the surface. We find that emissions from the North Slope of Alaska have been increasing over the past three decades, which reflects a change from previous analyses. Additionally, we show large and consistent emissions from September to December across multiple Arctic regions. This season has traditionally been underestimated in global methane budgets and providing accurate methane quantification is vital for climate change mitigation. Our results show that important change is occurring in the Arctic, and long‐term atmospheric data can be used to monitor this change, particularly in the cold season. Key Points: Increasing tundra methane emissions from the Alaskan North Slope from 1986 to 2021 are now detected through long‐term atmospheric measurementsEmissions from the late season (September–December) are found to be persistent across multiple years and from three high Arctic regionsLate season underestimation of emissions in models and inventories is attributed to an underestimation of the emitting area [ABSTRACT FROM AUTHOR]

Published
2024
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11. Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Author

Pastorello, Gilberto, Trotta, Carlo, Canfora, Eleonora, Chu, Housen, Christianson, Danielle, Cheah, You-Wei, Poindexter, Cristina, Chen, Jiquan, Elbashandy, Abdelrahman, Humphrey, Marty, Isaac, Peter, Polidori, Diego, Reichstein, Markus, Ribeca, Alessio, van Ingen, Catharine, Vuichard, Nicolas, Zhang, Leiming, Amiro, Brian, Ammann, Christof, Arain, M. Altaf, Ardö, Jonas, Arkebauer, Timothy, Arndt, Stefan K., Arriga, Nicola, Aubinet, Marc, Aurela, Mika, Baldocchi, Dennis, Barr, Alan, Beamesderfer, Eric, Marchesini, Luca Belelli, Bergeron, Onil, Beringer, Jason, Bernhofer, Christian, Berveiller, Daniel, Billesbach, Dave, Black, Thomas Andrew, Blanken, Peter D., Bohrer, Gil, Boike, Julia, Bolstad, Paul V., Bonal, Damien, Bonnefond, Jean-Marc, Bowling, David R., Bracho, Rosvel, Brodeur, Jason, Brümmer, Christian, Buchmann, Nina, Burban, Benoit, Burns, Sean P., Buysse, Pauline, Cale, Peter, Cavagna, Mauro, Cellier, Pierre, Chen, Shiping, Chini, Isaac, Christensen, Torben R., Cleverly, James, Collalti, Alessio, Consalvo, Claudia, Cook, Bruce D., Cook, David, Coursolle, Carole, Cremonese, Edoardo, Curtis, Peter S., D’Andrea, Ettore, da Rocha, Humberto, Dai, Xiaoqin, Davis, Kenneth J., De Cinti, Bruno, de Grandcourt, Agnes, De Ligne, Anne, De Oliveira, Raimundo C., Delpierre, Nicolas, Desai, Ankur R., Di Bella, Carlos Marcelo, di Tommasi, Paul, Dolman, Han, Domingo, Francisco, Dong, Gang, Dore, Sabina, Duce, Pierpaolo, Dufrêne, Eric, Dunn, Allison, Dušek, Jiří, Eamus, Derek, Eichelmann, Uwe, ElKhidir, Hatim Abdalla M., Eugster, Werner, Ewenz, Cacilia M., Ewers, Brent, Famulari, Daniela, Fares, Silvano, Feigenwinter, Iris, Feitz, Andrew, Fensholt, Rasmus, Filippa, Gianluca, Fischer, Marc, Frank, John, Galvagno, Marta, Gharun, Mana, Gianelle, Damiano, Gielen, Bert, Gioli, Beniamino, Gitelson, Anatoly, Goded, Ignacio, Goeckede, Mathias, Goldstein, Allen H., Gough, Christopher M., Goulden, Michael L., Graf, Alexander, Griebel, Anne, Gruening, Carsten, Grünwald, Thomas, Hammerle, Albin, Han, Shijie, Han, Xingguo, Hansen, Birger Ulf, Hanson, Chad, Hatakka, Juha, He, Yongtao, Hehn, Markus, Heinesch, Bernard, Hinko-Najera, Nina, Hörtnagl, Lukas, Hutley, Lindsay, Ibrom, Andreas, Ikawa, Hiroki, Jackowicz-Korczynski, Marcin, Janouš, Dalibor, Jans, Wilma, Jassal, Rachhpal, Jiang, Shicheng, Kato, Tomomichi, Khomik, Myroslava, Klatt, Janina, Knohl, Alexander, Knox, Sara, Kobayashi, Hideki, Koerber, Georgia, Kolle, Olaf, Kosugi, Yoshiko, Kotani, Ayumi, Kowalski, Andrew, Kruijt, Bart, Kurbatova, Julia, Kutsch, Werner L., Kwon, Hyojung, Launiainen, Samuli, Laurila, Tuomas, Law, Bev, Leuning, Ray, Li, Yingnian, Liddell, Michael, Limousin, Jean-Marc, Lion, Marryanna, Liska, Adam J., Lohila, Annalea, López-Ballesteros, Ana, López-Blanco, Efrén, Loubet, Benjamin, Loustau, Denis, Lucas-Moffat, Antje, Lüers, Johannes, Ma, Siyan, Macfarlane, Craig, Magliulo, Vincenzo, Maier, Regine, Mammarella, Ivan, Manca, Giovanni, Marcolla, Barbara, Margolis, Hank A., Marras, Serena, Massman, William, Mastepanov, Mikhail, Matamala, Roser, Matthes, Jaclyn Hatala, Mazzenga, Francesco, McCaughey, Harry, McHugh, Ian, McMillan, Andrew M. S., Merbold, Lutz, Meyer, Wayne, Meyers, Tilden, Miller, Scott D., Minerbi, Stefano, Moderow, Uta, Monson, Russell K., Montagnani, Leonardo, Moore, Caitlin E., Moors, Eddy, Moreaux, Virginie, Moureaux, Christine, Munger, J. William, Nakai, Taro, Neirynck, Johan, Nesic, Zoran, Nicolini, Giacomo, Noormets, Asko, Northwood, Matthew, Nosetto, Marcelo, Nouvellon, Yann, Novick, Kimberly, Oechel, Walter, Olesen, Jørgen Eivind, Ourcival, Jean-Marc, Papuga, Shirley A., Parmentier, Frans-Jan, Paul-Limoges, Eugenie, Pavelka, Marian, Peichl, Matthias, Pendall, Elise, Phillips, Richard P., Pilegaard, Kim, Pirk, Norbert, Posse, Gabriela, Powell, Thomas, Prasse, Heiko, Prober, Suzanne M., Rambal, Serge, Rannik, Üllar, Raz-Yaseef, Naama, Rebmann, Corinna, Reed, David, de Dios, Victor Resco, Restrepo-Coupe, Natalia, Reverter, Borja R., Roland, Marilyn, Sabbatini, Simone, Sachs, Torsten, Saleska, Scott R., Sánchez-Cañete, Enrique P., Sanchez-Mejia, Zulia M., Schmid, Hans Peter, Schmidt, Marius, Schneider, Karl, Schrader, Frederik, Schroder, Ivan, Scott, Russell L., Sedlák, Pavel, Serrano-Ortíz, Penélope, Shao, Changliang, Shi, Peili, Shironya, Ivan, Siebicke, Lukas, Šigut, Ladislav, Silberstein, Richard, Sirca, Costantino, Spano, Donatella, Steinbrecher, Rainer, Stevens, Robert M., Sturtevant, Cove, Suyker, Andy, Tagesson, Torbern, Takanashi, Satoru, Tang, Yanhong, Tapper, Nigel, Thom, Jonathan, Tomassucci, Michele, Tuovinen, Juha-Pekka, Urbanski, Shawn, Valentini, Riccardo, van der Molen, Michiel, van Gorsel, Eva, van Huissteden, Ko, Varlagin, Andrej, Verfaillie, Joseph, Vesala, Timo, Vincke, Caroline, Vitale, Domenico, Vygodskaya, Natalia, Walker, Jeffrey P., Walter-Shea, Elizabeth, Wang, Huimin, Weber, Robin, Westermann, Sebastian, Wille, Christian, Wofsy, Steven, Wohlfahrt, Georg, Wolf, Sebastian, Woodgate, William, Li, Yuelin, Zampedri, Roberto, Zhang, Junhui, Zhou, Guoyi, Zona, Donatella, Agarwal, Deb, Biraud, Sebastien, Torn, Margaret, and Papale, Dario

Published
2021
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12. The uncertain climate footprint of wetlands under human pressure

Author

Petrescu, Ana Maria Roxana, Lohila, Annalea, Tuovinen, Juha-Pekka, Baldocchi, Dennis D, Desai, Ankur R, Roulet, Nigel T, Vesala, Timo, Dolman, Albertus Johannes, Oechel, Walter C, Marcolla, Barbara, Friborg, Thomas, Rinne, Janne, Matthes, Jaclyn Hatala, Merbold, Lutz, Meijide, Ana, Kiely, Gerard, Sottocornola, Matteo, Sachs, Torsten, Zona, Donatella, Varlagin, Andrej, Lai, Derrick YF, Veenendaal, Elmar, Parmentier, Frans-Jan W, Skiba, Ute, Lund, Magnus, Hensen, Arjan, van Huissteden, Jacobus, Flanagan, Lawrence B, Shurpali, Narasinha J, Grünwald, Thomas, Humphreys, Elyn R, Jackowicz-Korczyński, Marcin, Aurela, Mika A, Laurila, Tuomas, Grüning, Carsten, Corradi, Chiara AR, Schrier-Uijl, Arina P, Christensen, Torben R, Tamstorf, Mikkel P, Mastepanov, Mikhail, Martikainen, Pertti J, Verma, Shashi B, Bernhofer, Christian, and Cescatti, Alessandro

Subjects
Climate Action, Life on Land, Carbon Dioxide, Climate, Climate Change, Ecology, Ecosystem, Geography, Human Activities, Humans, Methane, Models, Theoretical, Nitrous Oxide, Plants, Temperature, Uncertainty, Wetlands, wetland conversion, methane, radiative forcing, carbon dioxide
Abstract

Significant climate risks are associated with a positive carbon-temperature feedback in northern latitude carbon-rich ecosystems, making an accurate analysis of human impacts on the net greenhouse gas balance of wetlands a priority. Here, we provide a coherent assessment of the climate footprint of a network of wetland sites based on simultaneous and quasi-continuous ecosystem observations of CO2 and CH4 fluxes. Experimental areas are located both in natural and in managed wetlands and cover a wide range of climatic regions, ecosystem types, and management practices. Based on direct observations we predict that sustained CH4 emissions in natural ecosystems are in the long term (i.e., several centuries) typically offset by CO2 uptake, although with large spatiotemporal variability. Using a space-for-time analogy across ecological and climatic gradients, we represent the chronosequence from natural to managed conditions to quantify the "cost" of CH4 emissions for the benefit of net carbon sequestration. With a sustained pulse-response radiative forcing model, we found a significant increase in atmospheric forcing due to land management, in particular for wetland converted to cropland. Our results quantify the role of human activities on the climate footprint of northern wetlands and call for development of active mitigation strategies for managed wetlands and new guidelines of the Intergovernmental Panel on Climate Change (IPCC) accounting for both sustained CH4 emissions and cumulative CO2 exchange.

Published
2015

14. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Author

Pastorello, Gilberto, Trotta, Carlo, Canfora, Eleonora, Chu, Housen, Christianson, Danielle, Cheah, You-Wei, Poindexter, Cristina, Chen, Jiquan, Elbashandy, Abdelrahman, Humphrey, Marty, Isaac, Peter, Polidori, Diego, Reichstein, Markus, Ribeca, Alessio, van Ingen, Catharine, Vuichard, Nicolas, Zhang, Leiming, Amiro, Brian, Ammann, Christof, Arain, M. Altaf, Ardö, Jonas, Arkebauer, Timothy, Arndt, Stefan K., Arriga, Nicola, Aubinet, Marc, Aurela, Mika, Baldocchi, Dennis, Barr, Alan, Beamesderfer, Eric, Marchesini, Luca Belelli, Bergeron, Onil, Beringer, Jason, Bernhofer, Christian, Berveiller, Daniel, Billesbach, Dave, Black, Thomas Andrew, Blanken, Peter D., Bohrer, Gil, Boike, Julia, Bolstad, Paul V., Bonal, Damien, Bonnefond, Jean-Marc, Bowling, David R., Bracho, Rosvel, Brodeur, Jason, Brümmer, Christian, Buchmann, Nina, Burban, Benoit, Burns, Sean P., Buysse, Pauline, Cale, Peter, Cavagna, Mauro, Cellier, Pierre, Chen, Shiping, Chini, Isaac, Christensen, Torben R., Cleverly, James, Collalti, Alessio, Consalvo, Claudia, Cook, Bruce D., Cook, David, Coursolle, Carole, Cremonese, Edoardo, Curtis, Peter S., D’Andrea, Ettore, da Rocha, Humberto, Dai, Xiaoqin, Davis, Kenneth J., Cinti, Bruno De, Grandcourt, Agnes de, Ligne, Anne De, De Oliveira, Raimundo C., Delpierre, Nicolas, Desai, Ankur R., Di Bella, Carlos Marcelo, Tommasi, Paul di, Dolman, Han, Domingo, Francisco, Dong, Gang, Dore, Sabina, Duce, Pierpaolo, Dufrêne, Eric, Dunn, Allison, Dušek, Jiří, Eamus, Derek, Eichelmann, Uwe, ElKhidir, Hatim Abdalla M., Eugster, Werner, Ewenz, Cacilia M., Ewers, Brent, Famulari, Daniela, Fares, Silvano, Feigenwinter, Iris, Feitz, Andrew, Fensholt, Rasmus, Filippa, Gianluca, Fischer, Marc, Frank, John, Galvagno, Marta, Gharun, Mana, Gianelle, Damiano, Gielen, Bert, Gioli, Beniamino, Gitelson, Anatoly, Goded, Ignacio, Goeckede, Mathias, Goldstein, Allen H., Gough, Christopher M., Goulden, Michael L., Graf, Alexander, Griebel, Anne, Gruening, Carsten, Grünwald, Thomas, Hammerle, Albin, Han, Shijie, Han, Xingguo, Hansen, Birger Ulf, Hanson, Chad, Hatakka, Juha, He, Yongtao, Hehn, Markus, Heinesch, Bernard, Hinko-Najera, Nina, Hörtnagl, Lukas, Hutley, Lindsay, Ibrom, Andreas, Ikawa, Hiroki, Jackowicz-Korczynski, Marcin, Janouš, Dalibor, Jans, Wilma, Jassal, Rachhpal, Jiang, Shicheng, Kato, Tomomichi, Khomik, Myroslava, Klatt, Janina, Knohl, Alexander, Knox, Sara, Kobayashi, Hideki, Koerber, Georgia, Kolle, Olaf, Kosugi, Yoshiko, Kotani, Ayumi, Kowalski, Andrew, Kruijt, Bart, Kurbatova, Julia, Kutsch, Werner L., Kwon, Hyojung, Launiainen, Samuli, Laurila, Tuomas, Law, Bev, Leuning, Ray, Li, Yingnian, Liddell, Michael, Limousin, Jean-Marc, Lion, Marryanna, Liska, Adam J., Lohila, Annalea, López-Ballesteros, Ana, López-Blanco, Efrén, Loubet, Benjamin, Loustau, Denis, Lucas-Moffat, Antje, Lüers, Johannes, Ma, Siyan, Macfarlane, Craig, Magliulo, Vincenzo, Maier, Regine, Mammarella, Ivan, Manca, Giovanni, Marcolla, Barbara, Margolis, Hank A., Marras, Serena, Massman, William, Mastepanov, Mikhail, Matamala, Roser, Matthes, Jaclyn Hatala, Mazzenga, Francesco, McCaughey, Harry, McHugh, Ian, McMillan, Andrew M. S., Merbold, Lutz, Meyer, Wayne, Meyers, Tilden, Miller, Scott D., Minerbi, Stefano, Moderow, Uta, Monson, Russell K., Montagnani, Leonardo, Moore, Caitlin E., Moors, Eddy, Moreaux, Virginie, Moureaux, Christine, Munger, J. William, Nakai, Taro, Neirynck, Johan, Nesic, Zoran, Nicolini, Giacomo, Noormets, Asko, Northwood, Matthew, Nosetto, Marcelo, Nouvellon, Yann, Novick, Kimberly, Oechel, Walter, Olesen, Jørgen Eivind, Ourcival, Jean-Marc, Papuga, Shirley A., Parmentier, Frans-Jan, Paul-Limoges, Eugenie, Pavelka, Marian, Peichl, Matthias, Pendall, Elise, Phillips, Richard P., Pilegaard, Kim, Pirk, Norbert, Posse, Gabriela, Powell, Thomas, Prasse, Heiko, Prober, Suzanne M., Rambal, Serge, Rannik, Üllar, Raz-Yaseef, Naama, Rebmann, Corinna, Reed, David, Dios, Victor Resco de, Restrepo-Coupe, Natalia, Reverter, Borja R., Roland, Marilyn, Sabbatini, Simone, Sachs, Torsten, Saleska, Scott R., Sánchez-Cañete, Enrique P., Sanchez-Mejia, Zulia M., Schmid, Hans Peter, Schmidt, Marius, Schneider, Karl, Schrader, Frederik, Schroder, Ivan, Scott, Russell L., Sedlák, Pavel, Serrano-Ortíz, Penélope, Shao, Changliang, Shi, Peili, Shironya, Ivan, Siebicke, Lukas, Šigut, Ladislav, Silberstein, Richard, Sirca, Costantino, Spano, Donatella, Steinbrecher, Rainer, Stevens, Robert M., Sturtevant, Cove, Suyker, Andy, Tagesson, Torbern, Takanashi, Satoru, Tang, Yanhong, Tapper, Nigel, Thom, Jonathan, Tomassucci, Michele, Tuovinen, Juha-Pekka, Urbanski, Shawn, Valentini, Riccardo, van der Molen, Michiel, van Gorsel, Eva, van Huissteden, Ko, Varlagin, Andrej, Verfaillie, Joseph, Vesala, Timo, Vincke, Caroline, Vitale, Domenico, Vygodskaya, Natalia, Walker, Jeffrey P., Walter-Shea, Elizabeth, Wang, Huimin, Weber, Robin, Westermann, Sebastian, Wille, Christian, Wofsy, Steven, Wohlfahrt, Georg, Wolf, Sebastian, Woodgate, William, Li, Yuelin, Zampedri, Roberto, Zhang, Junhui, Zhou, Guoyi, Zona, Donatella, Agarwal, Deb, Biraud, Sebastien, Torn, Margaret, and Papale, Dario

Published
2020
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15. Identification of spikes in continuous ground-based in situ time series of CO2, CH4 and CO: an extended experiment within the European ICOS Atmosphere network.

Author

Cristofanelli, Paolo, Fratticioli, Cosimo, Hazan, Lynn, Chariot, Mali, Couret, Cedric, Gazetas, Orestis, Kubistin, Dagmar, Laitinen, Antti, Leskinen, Ari, Laurila, Tuomas, Lindauer, Matthias, Manca, Giovanni, Ramonet, Michel, Trisolino, Pamela, and Steinbacher, Martin

Subjects
CARBON dioxide, METHANE, MOLE fraction, GREENHOUSE gases, QUALITY control, ATMOSPHERE
Abstract

The identification of spikes (i.e., short and high variability in the measured signals due to very local emissions occurring in the proximity of a measurement site) is of interest when using continuous measurements of atmospheric greenhouse gases (GHGs) in different applications like the determination of long-term trends and/or spatial gradients, inversion experiments devoted to the top-down quantification of GHG surface–atmosphere fluxes, the characterization of local emissions, or the quality control of GHG measurements. In this work, we analyzed the results provided by two automatic spike identification methods (i.e., the standard deviation of the background (SD) and the robust extraction of baseline signal (REBS)) for a 2-year dataset of 1 min in situ observations of CO 2 , CH 4 and CO at 10 different atmospheric sites spanning different environmental conditions (remote, continental, urban). The sensitivity of the spike detection frequency and its impact on the averaged mole fractions on method parameters was investigated. Results for both methods were compared and evaluated against manual identification by the site principal investigators (PIs). The study showed that, for CO 2 and CH 4 , REBS identified a larger number of spikes than SD and it was less "site-sensitive" than SD. This led to a larger impact of REBS on the time-averaged values of the observed mole fractions for CO 2 and CH 4. Further, it could be shown that it is challenging to identify one common algorithm/configuration for all the considered sites: method-dependent and setting-dependent differences in the spike detection were observed as a function of the sites, case studies and considered atmospheric species. Neither SD nor REBS appeared to provide a perfect identification of the spike events. The REBS tendency to over-detect the spike occurrence shows limitations when adopting REBS as an operational method to perform automatic spike detection. REBS should be used only for specific sites, mostly affected by frequent very nearby local emissions. SD appeared to be more selective in identifying spike events, and the temporal variabilities in CO 2 , CH 4 and CO were more consistent with those of the original datasets. Further activities are needed for better consolidating the fitness for purpose of the two proposed methods and to compare them with other spike detection techniques. [ABSTRACT FROM AUTHOR]

Published
2023
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17. BAECC : A FIELD CAMPAIGN TO ELUCIDATE THE IMPACT OF BIOGENIC AEROSOLS ON CLOUDS AND CLIMATE

Author

Petäjä, Tuukka, O’Connor, Ewan J., Moisseev, Dmitri, Sinclair, Victoria A., Manninen, Antti J., Väänänen, Riikka, von Lerber, Annakaisa, Thornton, Joel A., Nicoll, Keri, Petersen, Walt, Chandrasekar, V., Smith, James N., Winkler, Paul M., Krüger, Olaf, Hakola, Hannele, Timonen, Hilkka, Brus, David, Laurila, Tuomas, Asmi, Eija, Riekkola, Marja-Liisa, Mona, Lucia, Massoli, Paola, Engelmann, Ronny, Komppula, Mika, Wang, Jian, Kuang, Chongai, Bäck, Jaana, Virtanen, Annele, Levula, Janne, Ritsche, Michael, and Hickmon, Nicki

Published
2016

18. INTERNATIONAL ARCTIC SYSTEMS FOR OBSERVING THE ATMOSPHERE : An International Polar Year Legacy Consortium

Author

Uttal, Taneil, Starkweather, Sandra, Drummond, James R., Vihma, Timo, Makshtas, Alexander P., Darby, Lisa S., Burkhart, John F., Cox, Christopher J., Schmeisser, Lauren N., Haiden, Thomas, Maturilli, Marion, Shupe, Matthew D., de Boer, Gijs, Saha, Auromeet, Grachev, Andrey A., Crepinsek, Sara M., Bruhwiler, Lori, Goodison, Barry, McArthur, Bruce, Walden, Von P., Dlugokencky, Edward J., Persson, P. Ola G., Lesins, Glen, Laurila, Tuomas, Ogren, John A., Stone, Robert, Long, Charles N., Sharma, Sangeeta, Massling, Andreas, Turner, David D., Stanitski, Diane M., Asmi, Eija, Aurela, Mika, Skov, Henrik, Eleftheriadis, Konstantinos, Virkkula, Aki, Platt, Andrew, Førland, Eirik J., Iijima, Yoshihiro, Nielsen, Ingeborg E., Bergin, Michael H., Candlish, Lauren, Zimov, Nikita S., Zimov, Sergey A., O’Neill, Norman T., Fogal, Pierre F., Kivi, Rigel, Konopleva-Akish, Elena A., Verlinde, Johannes, Kustov, Vasily Y., Vasel, Brian, Ivakhov, Viktor M., Viisanen, Yrjö, and Intrieri, Janet M.

Published
2016

20. Environmental impacts and mitigation options on cultivated peatland with shallow peat depth in northern Finland – NorPeat platform

Author

Liimatainen, Maarit, primary, Kulmala, Liisa, additional, Läpikivi, Miika, additional, Lötjönen, Timo, additional, Yli-Halla, Markku, additional, Nieminen, Jaana, additional, Kekkonen, Jarkko, additional, Kinnunen, Juho, additional, Gerin, Stephanie, additional, Vekuri, Henriikka, additional, Pham, Tung, additional, Höyhtyä, Iida, additional, Marttila, Hannu, additional, Klöve, Björn, additional, Liedes, Toni, additional, Laurila, Tuomas, additional, Lohila, Annalea, additional, Liski, Jari, additional, and Joki-Tokola, Erkki, additional

Published
2023
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24. The effect of rainfall amount and timing on annual transpiration in a grazed savanna grassland

Author

Räsänen, Matti, primary, Aurela, Mika, additional, Vakkari, Ville, additional, Beukes, Johan P., additional, Tuovinen, Juha-Pekka, additional, Van Zyl, Pieter G., additional, Josipovic, Miroslav, additional, Siebert, Stefan J., additional, Laurila, Tuomas, additional, Kulmala, Markku, additional, Laakso, Lauri, additional, Rinne, Janne, additional, Oren, Ram, additional, and Katul, Gabriel, additional

Published
2022
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27. Identification of spikes in continuous ground-based in-situ time series of CO2, CH4 and CO: an extended experiment within the European ICOS-Atmosphere Network.

Author

Cristofanelli, Paolo, Fratticioli, Cosimo, Hazan, Lynn, Chariot, Mali, Couret, Cedric, Gazetas, Orestis, Kubistin, Dagmar, Laitinen, Antti, Leskinen, Ari, Laurila, Tuomas, Lindauer, Matthias, Manca, Giovanni, Ramonet, Michel, Trisolino, Pamela, and Steinbacher, Martin

Subjects
MOLE fraction, GREENHOUSE gases, EMISSION control, QUALITY control, METHANE, IDENTIFICATION
Abstract

The identification of spikes (i.e. short and high variability in the measured signals due to very local emissions occurring in the proximity of a measurement site) is of interest when using continuous measurements of atmospheric greenhouse gases (GHGs) in different applications like the determination of long-term trends and/or spatial gradients, the inversion experiments devoted to the top-down quantification of GHG surface-atmosphere fluxes, the characterization of local emissions or the quality control of GHG measurements. In this work, we analysed the results provided by two automatic spike identification methods (i.e. the standard deviation of the background - SD and the robust extraction of baseline signal - REBS) for a 2-year dataset of 1-minute in-situ observations of CO2, CH4 and CO at ten different atmospheric sites spanning different environmental conditions (remote, continental, urban). The sensitivity of the spike detection frequency and its impact on the averaged mole fractions on method parameters was investigated. Results for both methods were compared and evaluated against manual identification of the site Principal Investigators (PIs). The study showed that, for CO2 and CH4, REBS identified a larger number of spikes than SD and it was less "site-sensitive" than SD. This led to a larger impact of REBS on the time-averaged values of the observed mole fractions for CO2 and CH4. Further, it could be shown that it is challenging to identify one common algorithm/configuration for all the considered sites: method-dependent and setting-dependent differences in the spike detection were observed as a function of the sites, case studies and considered atmospheric species. Neither SD nor REBS appeared to provide a perfect identification of the spike events. The REBS tendency to over-detect the spike occurrence shows limitations when adopting REBS as an operational method to perform automatic spike detection. REBS should be used only for specific sites, mostly affected by frequent very nearby local emissions. SD appeared to be more selective in identifying spike events and the temporal variabilities of CO2, CH4 and CO were more consistent with that of the original datasets. Further activities are needed for better consolidating the fitness for purposes of the two proposed methods and to compare them with other spike detection techniques. [ABSTRACT FROM AUTHOR]

Published
2023
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28. Variation in CO2 and CH4 fluxes among land cover types in heterogeneous Arctic tundra in northeastern Siberia

Author

Juutinen, Sari, primary, Aurela, Mika, additional, Tuovinen, Juha-Pekka, additional, Ivakhov, Viktor, additional, Linkosalmi, Maiju, additional, Räsänen, Aleksi, additional, Virtanen, Tarmo, additional, Mikola, Juha, additional, Nyman, Johanna, additional, Vähä, Emmi, additional, Loskutova, Marina, additional, Makshtas, Alexander, additional, and Laurila, Tuomas, additional

Published
2022
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29. The ABCflux database: Arctic–boreal CO2 flux observations and ancillary information aggregated to monthly time steps across terrestrial ecosystems

Author

Virkkala​​​​​​​, Anna-Maria, Natali, Susan M., Rogers, Brendan M., Watts, Jennifer D., Savage, Kathleen, Connon, Sara June, Mauritz, Marguerite, Schuur, Edward A. G., Peter, Darcy, Minions, Christina, Nojeim, Julia, Commane, Roisin, Emmerton, Craig A., Goeckede, Mathias, Helbig, Manuel, Holl, David, Iwata, Hiroki, Kobayashi, Hideki, Kolari, Pasi, López-Blanco, Efrén, Marushchak, Maija E., Mastepanov, Mikhail, Merbold, Lutz, Parmentier, Frans-Jan W., Peichl, Matthias, Sachs, Torsten, Sonnentag, Oliver, Ueyama, Masahito, Voigt, Carolina, Aurela, Mika, Boike, Julia, Celis, Gerardo, Chae, Namyi, Christensen, Torben R., Bret-Harte, M. Syndonia, Dengel, Sigrid, Dolman, Han, Edgar, Colin W., Elberling, Bo, Euskirchen, Eugenie, Grelle, Achim, Hatakka, Juha, Humphreys, Elyn, Järveoja, Järvi, Kotani, Ayumi, Kutzbach, Lars, Laurila, Tuomas, Lohila, Annalea, Mammarella, Ivan, Matsuura, Yojiro, Meyer, Gesa, Nilsson, Mats B., Oberbauer, Steven F., Park, Sang-Jong, Petrov, Roman, Prokushkin, Anatoly S., Schulze, Christopher, St. Louis, Vincent L., Tuittila, Eeva-Stiina, Tuovinen, Juha-Pekka, Quinton, William, Varlagin, Andrej, Zona, Donatella, Zyryanov, Viacheslav I., Virkkala​​​​​​​, Anna-Maria, Natali, Susan M., Rogers, Brendan M., Watts, Jennifer D., Savage, Kathleen, Connon, Sara June, Mauritz, Marguerite, Schuur, Edward A. G., Peter, Darcy, Minions, Christina, Nojeim, Julia, Commane, Roisin, Emmerton, Craig A., Goeckede, Mathias, Helbig, Manuel, Holl, David, Iwata, Hiroki, Kobayashi, Hideki, Kolari, Pasi, López-Blanco, Efrén, Marushchak, Maija E., Mastepanov, Mikhail, Merbold, Lutz, Parmentier, Frans-Jan W., Peichl, Matthias, Sachs, Torsten, Sonnentag, Oliver, Ueyama, Masahito, Voigt, Carolina, Aurela, Mika, Boike, Julia, Celis, Gerardo, Chae, Namyi, Christensen, Torben R., Bret-Harte, M. Syndonia, Dengel, Sigrid, Dolman, Han, Edgar, Colin W., Elberling, Bo, Euskirchen, Eugenie, Grelle, Achim, Hatakka, Juha, Humphreys, Elyn, Järveoja, Järvi, Kotani, Ayumi, Kutzbach, Lars, Laurila, Tuomas, Lohila, Annalea, Mammarella, Ivan, Matsuura, Yojiro, Meyer, Gesa, Nilsson, Mats B., Oberbauer, Steven F., Park, Sang-Jong, Petrov, Roman, Prokushkin, Anatoly S., Schulze, Christopher, St. Louis, Vincent L., Tuittila, Eeva-Stiina, Tuovinen, Juha-Pekka, Quinton, William, Varlagin, Andrej, Zona, Donatella, and Zyryanov, Viacheslav I.

Abstract

Past efforts to synthesize and quantify the magnitude and change in carbon dioxide (CO2) fluxes in terrestrial ecosystems across the rapidly warming Arctic–boreal zone (ABZ) have provided valuable information but were limited in their geographical and temporal coverage. Furthermore, these efforts have been based on data aggregated over varying time periods, often with only minimal site ancillary data, thus limiting their potential to be used in large-scale carbon budget assessments. To bridge these gaps, we developed a standardized monthly database of Arctic–boreal CO2 fluxes (ABCflux) that aggregates in situ measurements of terrestrial net ecosystem CO2 exchange and its derived partitioned component fluxes: gross primary productivity and ecosystem respiration. The data span from 1989 to 2020 with over 70 supporting variables that describe key site conditions (e.g., vegetation and disturbance type), micrometeorological and environmental measurements (e.g., air and soil temperatures), and flux measurement techniques. Here, we describe these variables, the spatial and temporal distribution of observations, the main strengths and limitations of the database, and the potential research opportunities it enables. In total, ABCflux includes 244 sites and 6309 monthly observations; 136 sites and 2217 monthly observations represent tundra, and 108 sites and 4092 observations represent the boreal biome. The database includes fluxes estimated with chamber (19 % of the monthly observations), snow diffusion (3 %) and eddy covariance (78 %) techniques. The largest number of observations were collected during the climatological summer (June–August; 32 %), and fewer observations were available for autumn (September–October; 25 %), winter (December–February; 18 %), and spring (March–May; 25 %). ABCflux can be used in a wide array of empirical, remote sensing and modeling studies to improve understanding of the regional and temporal variability in CO2 fluxes and to better estimate th

Published
2022

30. The ABCflux database:Arctic-boreal CO2flux observations and ancillary information aggregated to monthly time steps across terrestrial ecosystems

Author

Virkkala, Anna Maria, Natali, Susan M., Rogers, Brendan M., Watts, Jennifer D., Savage, Kathleen, Connon, Sara June, Mauritz, Marguerite, Schuur, Edward A.G., Peter, Darcy, Minions, Christina, Nojeim, Julia, Commane, Roisin, Emmerton, Craig A., Goeckede, Mathias, Helbig, Manuel, Holl, David, Iwata, Hiroki, Kobayashi, Hideki, Kolari, Pasi, López-Blanco, Efrén, Marushchak, Maija E., Mastepanov, Mikhail, Merbold, Lutz, Parmentier, Frans Jan W., Peichl, Matthias, Sachs, Torsten, Sonnentag, Oliver, Ueyama, Masahito, Voigt, Carolina, Aurela, Mika, Boike, Julia, Celis, Gerardo, Chae, Namyi, Christensen, Torben R., Bret-Harte, M. Syndonia, Dengel, Sigrid, Dolman, Han, Edgar, Colin W., Elberling, Bo, Euskirchen, Eugenie, Grelle, Achim, Hatakka, Juha, Humphreys, Elyn, Järveoja, Järvi, Kotani, Ayumi, Kutzbach, Lars, Laurila, Tuomas, Lohila, Annalea, Mammarella, Ivan, Matsuura, Yojiro, Meyer, Gesa, Nilsson, Mats B., Oberbauer, Steven F., Park, Sang Jong, Petrov, Roman, Prokushkin, Anatoly S., Schulze, Christopher, St. Louis, Vincent L., Tuittila, Eeva Stiina, Tuovinen, Juha Pekka, Quinton, William, Varlagin, Andrej, Zona, Donatella, Zyryanov, Viacheslav I., Virkkala, Anna Maria, Natali, Susan M., Rogers, Brendan M., Watts, Jennifer D., Savage, Kathleen, Connon, Sara June, Mauritz, Marguerite, Schuur, Edward A.G., Peter, Darcy, Minions, Christina, Nojeim, Julia, Commane, Roisin, Emmerton, Craig A., Goeckede, Mathias, Helbig, Manuel, Holl, David, Iwata, Hiroki, Kobayashi, Hideki, Kolari, Pasi, López-Blanco, Efrén, Marushchak, Maija E., Mastepanov, Mikhail, Merbold, Lutz, Parmentier, Frans Jan W., Peichl, Matthias, Sachs, Torsten, Sonnentag, Oliver, Ueyama, Masahito, Voigt, Carolina, Aurela, Mika, Boike, Julia, Celis, Gerardo, Chae, Namyi, Christensen, Torben R., Bret-Harte, M. Syndonia, Dengel, Sigrid, Dolman, Han, Edgar, Colin W., Elberling, Bo, Euskirchen, Eugenie, Grelle, Achim, Hatakka, Juha, Humphreys, Elyn, Järveoja, Järvi, Kotani, Ayumi, Kutzbach, Lars, Laurila, Tuomas, Lohila, Annalea, Mammarella, Ivan, Matsuura, Yojiro, Meyer, Gesa, Nilsson, Mats B., Oberbauer, Steven F., Park, Sang Jong, Petrov, Roman, Prokushkin, Anatoly S., Schulze, Christopher, St. Louis, Vincent L., Tuittila, Eeva Stiina, Tuovinen, Juha Pekka, Quinton, William, Varlagin, Andrej, Zona, Donatella, and Zyryanov, Viacheslav I.

Abstract

Past efforts to synthesize and quantify the magnitude and change in carbon dioxide (CO2) fluxes in terrestrial ecosystems across the rapidly warming Arctic-boreal zone (ABZ) have provided valuable information but were limited in their geographical and temporal coverage. Furthermore, these efforts have been based on data aggregated over varying time periods, often with only minimal site ancillary data, thus limiting their potential to be used in large-scale carbon budget assessments. To bridge these gaps, we developed a standardized monthly database of Arctic-boreal CO2 fluxes (ABCflux) that aggregates in situ measurements of terrestrial net ecosystem CO2 exchange and its derived partitioned component fluxes: gross primary productivity and ecosystem respiration. The data span from 1989 to 2020 with over 70 supporting variables that describe key site conditions (e.g., vegetation and disturbance type), micrometeorological and environmental measurements (e.g., air and soil temperatures), and flux measurement techniques. Here, we describe these variables, the spatial and temporal distribution of observations, the main strengths and limitations of the database, and the potential research opportunities it enables. In total, ABCflux includes 244 sites and 6309 monthly observations; 136 sites and 2217 monthly observations represent tundra, and 108 sites and 4092 observations represent the boreal biome. The database includes fluxes estimated with chamber (19% of the monthly observations), snow diffusion (3%) and eddy covariance (78%) techniques. The largest number of observations were collected during the climatological summer (June-August; 32%), and fewer observations were available for autumn (September-October; 25%), winter (December-February; 18%), and spring (March-May; 25%). ABCflux can be used in a wide array of empirical, remote sensing and modeling studies to improve understanding of the regional and temporal variability in CO2 fluxes and to better estimate the te

Published
2022

34. Modeling acclimation of photosynthesis to temperature in evergreen conifer forests

Author

Gea-Izquierdo, Guillermo, Mäkelä, Annikki, Margolis, Hank, Bergeron, Yves, Black, T. Andrew, Dunn, Allison, Hadley, Julian, U, Kyaw Tha Paw, Falk, Matthias, Wharton, Sonia, Monson, Russell, Hollinger, David Y., Laurila, Tuomas, Aurela, Mika, McCaughey, Harry, Bourque, Charles, Vesala, Timo, and Berninger, Frank

Published
2010

35. Author Correction:The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data (Scientific Data, (2020), 7, 1, (225), 10.1038/s41597-020-0534-3)

Author

Pastorello, Gilberto, Trotta, Carlo, Canfora, Eleonora, Chu, Housen, Christianson, Danielle, Cheah, You-Wei, Poindexter, Cristina, Chen, Jiquan, Elbashandy, Abdelrahman, Humphrey, Marty, Isaac, Peter, Polidori, Diego, Reichstein, Markus, Ribeca, Alessio, van Ingen, Catharine, Vuichard, Nicolas, Zhang, Leiming, Amiro, Brian, Ammann, Christof, Arain, M. Altaf, Ardo, Jonas, Arkebauer, Timothy, Arndt, Stefan K., Arriga, Nicola, Aubinet, Marc, Aurela, Mika, Baldocchi, Dennis, Barr, Alan, Beamesderfer, Eric, Marchesini, Luca Belelli, Bergeron, Onil, Beringer, Jason, Bernhofer, Christian, Berveiller, Daniel, Billesbach, Dave, Black, Thomas Andrew, Blanken, Peter D., Bohrer, Gil, Boike, Julia, Bolstad, Paul V., Bonal, Damien, Bonnefond, Jean-Marc, Bowling, David R., Bracho, Rosvel, Brodeur, Jason, Brummer, Christian, Buchmann, Nina, Burban, Benoit, Burns, Sean P., Buysse, Pauline, Cale, Peter, Cavagna, Mauro, Cellier, Pierre, Chen, Shiping, Chini, Isaac, Christensen, Torben R., Cleverly, James, Collalti, Alessio, Consalvo, Claudia, Cook, Bruce D., Cook, David, Coursolle, Carole, Cremonese, Edoardo, Curtis, Peter S., D'Andrea, Ettore, da Rocha, Humberto, Dai, Xiaoqin, Davis, Kenneth J., De Cinti, Bruno, de Grandcourt, Agnes, De Ligne, Anne, De Oliveira, Raimundo C., Delpierre, Nicolas, Desai, Ankur R., Di Bella, Carlos Marcelo, di Tommasi, Paul, Dolman, Han, Domingo, Francisco, Dong, Gang, Dore, Sabina, Duce, Pierpaolo, Dufrene, Eric, Dunn, Allison, Dusek, Jiri, Eamus, Derek, Eichelmann, Uwe, ElKhidir, Hatim Abdalla M., Eugster, Werner, Ewenz, Cacilia M., Ewers, Brent, Famulari, Daniela, Fares, Silvano, Feigenwinter, Iris, Feitz, Andrew, Fensholt, Rasmus, Filippa, Gianluca, Fischer, Marc, Frank, John, Galvagno, Marta, Gharun, Mana, Gianelle, Damiano, Gielen, Bert, Gioli, Beniamino, Gitelson, Anatoly, Goded, Ignacio, Goeckede, Mathias, Goldstein, Allen H., Gough, Christopher M., Goulden, Michael L., Graf, Alexander, Griebel, Anne, Gruening, Carsten, Grunwald, Thomas, Hammerle, Albin, Han, Shijie, Han, Xingguo, Hansen, Birger Ulf, Hanson, Chad, Hatakka, Juha, He, Yongtao, Hehn, Markus, Heinesch, Bernard, Hinko-Najera, Nina, Hortnagl, Lukas, Hutley, Lindsay, Ibrom, Andreas, Ikawa, Hiroki, Jackowicz-Korczynski, Marcin, Janous, Dalibor, Jans, Wilma, Jassal, Rachhpal, Jiang, Shicheng, Kato, Tomomichi, Khomik, Myroslava, Klatt, Janina, Knohl, Alexander, Knox, Sara, Kobayashi, Hideki, Koerber, Georgia, Kolle, Olaf, Kosugi, Yoshiko, Kotani, Ayumi, Kowalski, Andrew, Kruijt, Bart, Kurbatova, Julia, Kutsch, Werner L., Kwon, Hyojung, Launiainen, Samuli, Laurila, Tuomas, Law, Bev, Leuning, Ray, Li, Yingnian, Liddell, Michael, Limousin, Jean-Marc, Lion, Marryanna, Liska, Adam J., Lohila, Annalea, Lopez-Ballesteros, Ana, Lopez-Blanco, Efren, Loubet, Benjamin, Loustau, Denis, Lucas-Moffat, Antje, Luers, Johannes, Ma, Siyan, Macfarlane, Craig, Magliulo, Vincenzo, Maier, Regine, Mammarella, Ivan, Manca, Giovanni, Marcolla, Barbara, Margolis, Hank A., Marras, Serena, Massman, William, Mastepanov, Mikhail, Matamala, Roser, Matthes, Jaclyn Hatala, Mazzenga, Francesco, McCaughey, Harry, McHugh, Ian, McMillan, Andrew M. S., Merbold, Lutz, Meyer, Wayne, Meyers, Tilden, Miller, Scott D., Minerbi, Stefano, Moderow, Uta, Monson, Russell K., Montagnani, Leonardo, Moore, Caitlin E., Moors, Eddy, Moreaux, Virginie, Moureaux, Christine, Munger, J. William, Nakai, Taro, Neirynck, Johan, Nesic, Zoran, Nicolini, Giacomo, Noormets, Asko, Northwood, Matthew, Nosetto, Marcelo, Nouvellon, Yann, Novick, Kimberly, Oechel, Walter, Olesen, Jorgen Eivind, Ourcival, Jean-Marc, Papuga, Shirley A., Parmentier, Frans-Jan, Paul-Limoges, Eugenie, Pavelka, Marian, Peichl, Matthias, Pendall, Elise, Phillips, Richard P., Pilegaard, Kim, Pirk, Norbert, Posse, Gabriela, Powell, Thomas, Prasse, Heiko, Prober, Suzanne M., Rambal, Serge, Rannik, Ullar, Raz-Yaseef, Naama, Rebmann, Corinna, Reed, David, de Dios, Victor Resco, Restrepo-Coupe, Natalia, Reverter, Borja R., Roland, Marilyn, Sabbatini, Simone, Sachs, Torsten, Saleska, Scott R., Sanchez-Canete, Enrique P., Sanchez-Mejia, Zulia M., Schmid, Hans Peter, Schmidt, Marius, Schneider, Karl, Schrader, Frederik, Schroder, Ivan, Scott, Russell L., Sedlak, Pavel, Serrano-Ortiz, Penelope, Shao, Changliang, Shi, Peili, Shironya, Ivan, Siebicke, Lukas, Sigut, Ladislav, Silberstein, Richard, Sirca, Costantino, Spano, Donatella, Steinbrecher, Rainer, Stevens, Robert M., Sturtevant, Cove, Suyker, Andy, Tagesson, Torbern, Takanashi, Satoru, Tang, Yanhong, Tapper, Nigel, Thom, Jonathan, Tomassucci, Michele, Tuovinen, Juha-Pekka, Urbanski, Shawn, Valentini, Riccardo, van der Molen, Michiel, van Gorsel, Eva, van Huissteden, Ko, Varlagin, Andrej, Verfaillie, Joseph, Vesala, Timo, Vincke, Caroline, Vitale, Domenico, Vygodskaya, Natalia, Walker, Jeffrey P., Walter-Shea, Elizabeth, Wang, Huimin, Weber, Robin, Westermann, Sebastian, Wille, Christian, Wofsy, Steven, Wohlfahrt, Georg, Wolf, Sebastian, Woodgate, William, Li, Yuelin, Zampedri, Roberto, Zhang, Junhui, Zhou, Guoyi, Zona, Donatella, Agarwal, Deb, Biraud, Sebastien, Torn, Margaret, and Papale, Dario

Abstract

The following authors were omitted from the original version of this Data Descriptor: Markus Reichstein and Nicolas Vuichard. Both contributed to the code development and N. Vuichard contributed to the processing of the ERA-Interim data downscaling. Furthermore, the contribution of the co-author Frank Tiedemann was re-evaluated relative to the colleague Corinna Rebmann, both working at the same sites, and based on this re-evaluation a substitution in the co-author list is implemented (with Rebmann replacing Tiedemann). Finally, two affiliations were listed incorrectly and are corrected here (entries 190 and 193). The author list and affiliations have been amended to address these omissions in both the HTML and PDF versions.

Published
2021
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36. The Emission and Distribution of Ozone Precursors over Europe : The Report from TOR Task Group 2a

Author

Lindskog, Anne, Solberg, Sverre, Roemer, Michiel, Klemp, Dieter, Sladkovic, Rudolf, Boudries, Hacène, Dutot, Alain, Burgess, Rachel, Hakola, Hannele, Laurila, Tuomas, Schmitt, Rainer, Areskoug, Hans, Romero, Rodrigo, Haszpra, László, Mowrer, Jacques, Schmidbauer, Norbert, Esser, Paul, Borrell, Peter, editor, Borrell, Patricia M., editor, Cvitaš, Tomislav, editor, Kelly, Kerry, editor, Seiler, Wolfgang, editor, and Hov, Øystein, editor

Published
1997
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37. Monitoring Atmospheric Constituents

Author

Hahn, Jürgen, Puxbaum, Hans, Gomiscek, B., Radunsky, K., Slemr, Jana, Junkermann, W., Laurila, Tuomas, Hakola, Hannele, Lättilä, Heikki, Koskinen, Timo, Nielsen, Torben, Granby, K., Egeløv, A. H., Hummelshøj, P., Skov, H., Belan, B. D., Zuev, V. V., Zuev, V. E., Meleshkin, V. E., Rasskazchikova, T. M., Borrell, Peter, editor, Borrell, Patricia M., editor, Cvitaš, Tomislav, editor, Kelly, Kerry, editor, Seiler, Wolfgang, editor, and Hov, Øystein, editor

Published
1997
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38. Towards agricultural soil carbon monitoring, reporting, and verification through the Field Observatory Network (FiON)

Author

Nevalainen, Olli, primary, Niemitalo, Olli, additional, Fer, Istem, additional, Juntunen, Antti, additional, Mattila, Tuomas, additional, Koskela, Olli, additional, Kukkamäki, Joni, additional, Höckerstedt, Layla, additional, Mäkelä, Laura, additional, Jarva, Pieta, additional, Heimsch, Laura, additional, Vekuri, Henriikka, additional, Kulmala, Liisa, additional, Stam, Åsa, additional, Kuusela, Otto, additional, Gerin, Stephanie, additional, Viskari, Toni, additional, Vira, Julius, additional, Hyväluoma, Jari, additional, Tuovinen, Juha-Pekka, additional, Lohila, Annalea, additional, Laurila, Tuomas, additional, Heinonsalo, Jussi, additional, Aalto, Tuula, additional, Kunttu, Iivari, additional, and Liski, Jari, additional

Published
2022
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45. Supplementary material to "The effect of rainfall amount and timing on annual transpiration in a grazed savanna grassland"

Author

Räsänen, Matti, primary, Aurela, Mika, additional, Vakkari, Ville, additional, Beukes, Johan P., additional, Tuovinen, Juha-Pekka, additional, Van Zyl, Pieter G., additional, Josipovic, Miroslav, additional, Siebert, Stefan J., additional, Laurila, Tuomas, additional, Kulmala, Markku, additional, Laakso, Lauri, additional, Rinne, Janne, additional, Oren, Ram, additional, and Katul, Gabriel, additional

Published
2021
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46. The effect of rainfall amount and timing on annual transpiration in a grazed savanna grassland

Author

Räsänen, Matti, primary, Aurela, Mika, additional, Vakkari, Ville, additional, Beukes, Johan P., additional, Tuovinen, Juha-Pekka, additional, Van Zyl, Pieter G., additional, Josipovic, Miroslav, additional, Siebert, Stefan J., additional, Laurila, Tuomas, additional, Kulmala, Markku, additional, Laakso, Lauri, additional, Rinne, Janne, additional, Oren, Ram, additional, and Katul, Gabriel, additional

Published
2021
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47. Towards agricultural soil carbon monitoring, reporting and verification through Field Observatory Network (FiON)

Author

Nevalainen, Olli, primary, Niemitalo, Olli, additional, Fer, Istem, additional, Juntunen, Antti, additional, Mattila, Tuomas, additional, Koskela, Olli, additional, Kukkamäki, Joni, additional, Höckerstedt, Layla, additional, Mäkelä, Laura, additional, Jarva, Pieta, additional, Heimsch, Laura, additional, Vekuri, Henriikka, additional, Kulmala, Liisa, additional, Stam, Åsa, additional, Kuusela, Otto, additional, Gerin, Stephanie, additional, Viskari, Toni, additional, Vira, Julius, additional, Hyväluoma, Jari, additional, Tuovinen, Juha-Pekka, additional, Lohila, Annalea, additional, Laurila, Tuomas, additional, Heinonsalo, Jussi, additional, Aalto, Tuula, additional, Kunttu, Iivari, additional, and Liski, Jari, additional

Published
2021
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48. The ABCflux database: Arctic-Boreal CO2 flux observations and ancillary information aggregated to monthly time steps across terrestrial ecosystems

Author

Virkkala, Anna-Maria, primary, Natali, Susan M., additional, Rogers, Brendan M., additional, Watts, Jennifer D., additional, Savage, Kathleen, additional, Connon, Sara June, additional, Mauritz, Marguerite, additional, Schuur, Edward A. G., additional, Peter, Darcy, additional, Minions, Christina, additional, Nojeim, Julia, additional, Commane, Roisin, additional, Emmerton, Craig A., additional, Goeckede, Mathias, additional, Helbig, Manuel, additional, Holl, David, additional, Iwata, Hiroki, additional, Kobayashi, Hideki, additional, Kolari, Pasi, additional, López-Blanco, Efrén, additional, Marushchak, Maija E., additional, Mastepanov, Mikhail, additional, Merbold, Lutz, additional, Parmentier, Frans-Jan W., additional, Peichl, Matthias, additional, Sachs, Torsten, additional, Sonnentag, Oliver, additional, Ueyama, Masahito, additional, Voigt, Carolina, additional, Aurela, Mika, additional, Boike, Julia, additional, Celis, Gerardo, additional, Chae, Namyi, additional, Christensen, Torben R., additional, Bret-Harte, M. Syndonia, additional, Dengel, Sigrid, additional, Dolman, Han, additional, Edgar, Colin W., additional, Elberling, Bo, additional, Euskirchen, Eugenie, additional, Grelle, Achim, additional, Hatakka, Juha, additional, Humphreys, Elyn, additional, Järveoja, Järvi, additional, Kotani, Ayumi, additional, Kutzbach, Lars, additional, Laurila, Tuomas, additional, Lohila, Annalea, additional, Mammarella, Ivan, additional, Matsuura, Yojiro, additional, Meyer, Gesa, additional, Nilsson, Mats B., additional, Oberbauer, Steven F., additional, Park, Sang-Jong, additional, Petrov, Roman, additional, Prokushkin, Anatoly S., additional, Schulze, Christopher, additional, St.Louis, Vincent L., additional, Tuittila, Eeva-Stiina, additional, Tuovinen, Juha-Pekka, additional, Quinton, William, additional, Varlagin, Andrej, additional, Zona, Donatella, additional, and Zyryanov, Viacheslav I., additional

Published
2021
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50. Evaluation and optimization of ICOS atmosphere station data as part of the labeling process

Author

Yver-Kwok, Camille, Philippon, Carole, Bergamaschi, Peter, Biermann, Tobias, Calzolari, Francescopiero, Chen, Huilin, Conil, Sebastien, Cristofanelli, Paolo, Delmotte, Marc, Hatakka, Juha, Heliasz, Michal, Hermansen, Ove, Kominkova, Katerina, Kubistin, Dagmar, Kumps, Nicolas, Laurent, Olivier, Laurila, Tuomas, Lehner, Irene, Levula, Janne, Lindauer, Matthias, Lopez, Morgan, Mammarella, Ivan, Manca, Giovanni, Marklund, Per, Metzger, Jean Marc, Mölder, Meelis, Platt, Stephen M., Ramonet, Michel, Rivier, Leonard, Scheeren, Bert, Kumar Sha, Mahesh, Smith, Paul, Steinbacher, Martin, Vítková, Gabriela, Wyss, Simon, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), ICOS-ATC (ICOS-ATC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), European Commission - Joint Research Centre [Ispra] (JRC), Centre for Environmental and Climate Research [Lund] (CEC), Lund University [Lund], CNR Institute of Atmospheric Sciences and Climate (ISAC), Consiglio Nazionale delle Ricerche (CNR), Centre for Isotope Research [Groningen] (CIO), University of Groningen [Groningen], ICOS-RAMCES (ICOS-RAMCES), Finnish Meteorological Institute (FMI), Norwegian Institute for Air Research (NILU), Global Change Research Institute of the Czech Academy of Sciences (GCRI), Meteorologisches Observatorium Hohenpeißenberg (MOHp), Deutscher Wetterdienst [Offenbach] (DWD), Royal Belgian Institute for Space Aeronomy, Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Swedish University of Agricultural Sciences (SLU), Observatoire des Sciences de l'Univers de La Réunion (OSU-Réunion), Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR), Department of Physical Geography and Ecosystem Science [Lund], Swiss Federal Insitute of Aquatic Science and Technology [Dübendorf] (EAWAG), This research has been supported by fundingfrom ICOS Finland (grant no. 281255). This work was supportedby the Ministry of Education, Youth and Sports of CR withinthe CzeCOS program (grant no. LM201812). ICOS Switzerland isfunded by the Swiss National Science Foundation (Phase I (2013–2017): 20FI21_148992, Phase II (2017–2021): 20FI20_173691) and in-house contributions. ICOS Netherlands is substantially supported by the Dutch Research Council (NWO) through the Ruisdael large-scale infrastructure project. ICOS labeling activities atCMN were started under the Project of National Interest NEXDATAwhich is funded by the Italian Ministry for Education, Universityand Research (MIUR). In Belgium, it has been financially supportedsince 2014 by the EU project ICOS-Inwire and the ministerial decree for ICOS (FR/35/IC1 to FR/35/C5)., Ecosystem processes (INAR Forest Sciences), INAR Physics, Micrometeorology and biogeochemical cycles, Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Global Change Research Centre (CzechGlobe), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, and Isotope Research

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, lcsh:TA715-787, Meteorology and Atmospheric Sciences, lcsh:Earthwork. Foundations, lcsh:TA170-171, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, 114 Physical sciences, ComputingMilieux_MISCELLANEOUS, lcsh:Environmental engineering
Abstract

The Integrated Carbon Observation System (ICOS) is a pan-European research infrastructure which provides harmonized and high-precision scientific data on the carbon cycle and the greenhouse gas budget. All stations have to undergo a rigorous assessment before being labeled, i.e., receiving approval to join the network. In this paper, we present the labeling process for the ICOS atmosphere network through the 23 stations that were labeled between November 2017 and November 2019. We describe the labeling steps, as well as the quality controls, used to verify that the ICOS data (CO2, CH4, CO and meteorological measurements) attain the expected quality level defined within ICOS. To ensure the quality of the greenhouse gas data, three to four calibration gases and two target gases are measured: one target two to three times a day, the other gases twice a month. The data are verified on a weekly basis, and tests on the station sampling lines are performed twice a year. From these high-quality data, we conclude that regular calibrations of the CO2, CH4 and CO analyzers used here (twice a month) are important in particular for carbon monoxide (CO) due to the analyzer's variability and that reducing the number of calibration injections (from four to three) in a calibration sequence is possible, saving gas and extending the calibration gas lifespan. We also show that currently, the on-site water vapor correction test does not deliver quantitative results possibly due to environmental factors. Thus the use of a drying system is strongly recommended. Finally, the mandatory regular intake line tests are shown to be useful in detecting artifacts and leaks, as shown here via three different examples at the stations. .

Published
2021
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