Publications

Peer-reviewed publications

2024

Mahura, A., Baklanov, A., Makkonen, R., Boy, M., Petäjä, T., Lappalainen, H.K., Nuterman, R., Kerminen, V.-M., Arnold, S.R., Jochum, M., Shvidenko, A., Esau, I., Sofiev, M., Stohl, A., Aalto, T., Bai, J., Chen, C., Cheng, Y., Drofa, O., Huang, M., Järvi, L., Kokkola, H., Kouznetsov, R., Li, T., Malguzzi, P., Monks, S., Poulsen, M.B., Noe, S.M., Palamarchuk, Y., Foreback, B., Clusius, P., Rasmussen, T.A.S., She, J., Sørensen, J.H., Spracklen, D., Su, H., Tonttila, J., Wang, S., Wang, J., Wolf-Grosse, T., Yu, Y., Zhang, Q., Zhang, Wei, Zhang, Wen, Zheng, X., Li, S., Li, Y., Zhou, P., Kulmala, M. (2024). Towards seamless environmental prediction – development of Pan-Eurasian EXperiment (PEEX) modelling platform. Big Earth Data: 1–42. https://doi.org/10.1080/20964471.2024.2325019

Ernst, Y., Archibald, S., Balzter, H., Chevallier, F., Ciais, P., Fischer, C. G., Gaubert, B., Higginbottom, T., Higgins, S., Lawal, S., Lacroix, F., Lauerwald, R., Lourenco, M., Martens, C., Mengistu, A. G., Merbold, L., Mitchard, E., Moyo, M., Nguyen, H., O’Sullivan, M., Rodríguez‐Veiga, P., Rosan, T., Rosentreter, J., Ryan, C., Scheiter, S., Sitch, S., Stevens, N., Tagesson, T., Tian, H., Wang, M., Woon, J. S., Zheng, B., Zhou, Y., Scholes, R. J. (2024). The African Regional Greenhouse Gases Budget (2010–2019). Global Biogeochemical Cycles 38(4): e2023GB008016. https://doi.org/10.1029/2023GB008016

Havu, M., Kulmala, L., Lee, H. S., Saranko, O., Soininen, J., Ahongshangbam, J., Järvi, L. (2024). CO2 uptake of urban vegetation in a warming Nordic city. Urban Forestry & Urban Greening 94: 128261. https://doi.org/10.1016/j.ufug.2024.128261

Trémeau, J., Olascoaga, B., Backman, L., Karvinen, E., Vekuri, H., and Kulmala, L. (2024). Lawns and meadows in urban green space – a comparison from perspectives of greenhouse gases, drought resilience and plant functional types. Biogeosciences 21: 949–972. https://doi.org/10.5194/bg-21-949-2024

Bohm, K., Wasiljeff, J., Stevens, T., Salminen, J., Tang, H., Lahaye, Y., Kurhila, M., Zhang, Z., Haugvaldstad, O., Kaakinen, A. (2024). Modern-type eolian regime and global cooling-modulated dust provenance in the late Paleogene of Central-East Asia. Geochemistry, Geophysics, Geosystems 25: e2023GC011167. https://doi.org/10.1029/2023GC011167

Tyystjärvi, V., Niittynen, P., Kemppinen, J., Luoto, M., Rissanen, T., Aalto, J. (2024). Variability and drivers of winter near-surface temperatures over boreal and tundra landscapes. The Cryosphere 18: 403–423. https://doi.org/10.5194/tc-18-403-2024

Virkkala, A.-M., Niittynen, P., Kemppinen, J., Marushchak, M. E., Voigt, C., Hensgens, G., Kerttula, J., Happonen, K., Tyystjärvi, V., Biasi, C., Hultman, J., Rinne, J., Luoto, M. (2024). High-resolution spatial patterns and drivers of terrestrial ecosystem carbon dioxide, methane, and nitrous oxide fluxes in the tundra. Biogeosciences 21(2): 335-355. https://doi.org/10.5194/bg-21-335-2024

Honkanen, M., Heikkinen, P., MacArthur, A., Thum, T., Kivi, R., Lindqvist, H. (2024). UAV-Borne Measurements of Solar-Induced Chlorophyll Fluorescence (SIF) at a Boreal Site. In: Westerlund, T., Peña Queralta, J. (eds). New Developments and Environmental Applications of Drones. Proceedings of FinDrones 2023. Springer, Cham. https://doi.org/10.1007/978-3-031-44607-8_8

Tibrewal, K., Ciais, P., Saunois, M., Martinez, A., Lin, X., Thanwerdas, J., Deng, Z., Chevallier, F., Giron, C., Albergel, C., Tanaka, K., Patra, P., Tsuruta, A., Zheng, B., Belikov, D., Niwa, Y., Janardanan, R., Maksyutov, S., Segers, A., Tzompa-Sosa, Z.A., Bousquet, P., Sciare, J. (2024). Assessment of methane emissions from oil, gas and coal sectors across inventories and atmospheric inversions. Nature Communications Earth & Environment 5: 26. https://doi.org/10.1038/s43247-023-01190-w

Tenkanen, M. K., Tsuruta, A., Tyystjärvi, V., Törmä, M., Autio, I., Haakana, M., Tuomainen, T., Leppänen, A., Markkanen, T., Raivonen, M., Niinistö, S., Arslan, A. N., Aalto, T. (2024). Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions. Remote Sensing 16: 124. https://doi.org/10.3390/rs16010124

2023

Erkkilä, A., Tenkanen, M., Tsuruta, A., Rautiainen, K., Aalto, T. (2023). Environmental and Seasonal Variability of High Latitude Methane Emissions Based on Earth Observation Data and Atmospheric Inverse Modelling. Remote Sensing 15: 5719. https://doi.org/10.3390/rs15245719

Liu, L., Galbrun, E., Tang, H., Kaakinen, A., Zhang, Z., Zhang, Z., Žliobaitė, I. (2023). The emergence of modern zoogeographic regions in Asia examined through climate–dental trait association patterns. Nature Communications 14: 8194. https://doi.org/10.1038/s41467-023-43807-w

Ahongshangbam, J., Kulmala, L., Soininen, J., Frühauf, Y., Karvinen, E., Salmon, Y., Lintunen, A., Karvonen, A., and Järvi, L. (2023) Sap flow and leaf gas exchange response to a drought and heatwave in urban green spaces in a Nordic city, Biogeosciences, 20, 4455–4475, https://doi.org/10.5194/bg-20-4455-2023

Zhang, Z., Bansal, S., Chang, K.-Y., Fluet-Chouinard, E., Delwiche, K., Goeckede, M., et al. (2023). Characterizing performance of freshwater wetland methane models across time scales at FLUXNET-CH4 sites using wavelet analyses. Journal of Geophysical Research: Biogeosciences, 128, e2022JG007259. https://doi.org/10.1029/2022JG007259

Kemppinen, J., Niittynen, P., Rissanen, T., Tyystjärvi, V., Aalto, J., & Luoto, M. (2023). Soil moisture variations from boreal forests to the tundra. Water Resources Research, 59, e2022WR032719. https://doi.org/10.1029/2022WR032719

Peltokangas K, Kalu S, Huusko K, Havisalmi J, Heinonsalo J, Karhu K, Kulmala L, Liski J and Pihlatie M. (2023) Ligneous amendments increase soil organic carbon content in fine textured boreal soils and reduce N2O production. PLoS ONE 18(8): e0284092. https://doi.org/10.1371/journal.pone.0284092

Laasasenaho, K., Lauhanen, R., Räsänen, A., Palomäki, A., Viholainen, I., Markkanen, T., Aalto, T., Ojanen, P., Minkkinen, K., Jokelainen, L., Lohila, A., Siira, O.-P., Marttila, H., Päkkilä, L., Albrecht, E., Kuittinen, S., Pappinen, A., Ekman, E., Kübert, A., Lampimäki, M., Lampilahti, J., Shahriyer, A.H., Tyystjärvi, V., Tuunainen, A.-M., Leino, J., Ronkainen, T., Peltonen, L., Vasander, H., Petäjä, T., Kulmala, M., 2023. After-use of cutover peatland from the perspective of landowners: Future effects on the national greenhouse gas budget in Finland. Land Use Policy 134, 106926. https://doi.org/10.1016/j.landusepol.2023.106926

Gerin S, Vekuri H, Liimatainen M, Tuovinen JP, Kekkonen J, Kulmala L, Laurila T, Linkosalmi M, Liski J, Joki-Tokola E, Lohila A (2023) Two contrasting years of continuous NO and CO fluxes on a shallow-peated drained agricultural boreal peatland, Agricultural and Forest Meteorology 341, 109630, https://doi.org/10.1016/j.agrformet.2023.109630 McNicol, G., Fluet-Chouinard, E., Ouyang, Z., Knox, S., Zhang, Z., Aalto, T., Bansal, S., Chang, K.-Y., Chen, M., Delwiche, K., Feron, S., Goeckede, M., Liu, J., Malhotra, A., Melton, J.R., Riley, W., Vargas, R., Yuan, K., Ying, Q., Zhu, Q., Alekseychik, P., Aurela, M., Billesbach, D.P., Campbell, D.I., Chen, J., Chu, H., Desai, A.R., Euskirchen, E., Goodrich, J., Griffis, T., Helbig, M., Hirano, T., Iwata, H., Jurasinski, G., King, J., Koebsch, F., Kolka, R., Krauss, K., Lohila, A., Mammarella, I., Nilson, M., Noormets, A., Oechel, W., Peichl, M., Sachs, T., Sakabe, A., Schulze, C., Sonnentag, O., Sullivan, R.C., Tuittila, E.-S., Ueyama, M., Vesala, T., Ward, E., Wille, C., Wong, G.X., Zona, D., Windham-Myers, L., Poulter, B., Jackson, R.B., 2023. Upscaling Wetland Methane Emissions From the FLUXNET-CH4 Eddy Covariance Network (UpCH4 v1.0): Model Development, Network Assessment, and Budget Comparison. AGU Advances 4, e2023AV000956. https://doi.org/10.1029/2023AV000956 Guo, Y., Tan, H., Zhang, L., Liu, G., Zhou, M., Vira, J., Hess, P.G., Liu, Xueying, Paulot, F., Liu, Xuejun, 2023. Global food loss and waste embodies unrecognized harms to air quality and biodiversity hotspots. Nature Food. https://doi.org/10.1038/s43016-023-00810-0 Mannisenaho, V., Tsuruta, A., Backman, L., Houweling, S., Segers, A., Krol, M., Saunois, M., Poulter, B., Zhang, Z., Lan, X., Dlugokencky, E. J., Michel, S., White, J. W. C., and Aalto, T.: Global Atmospheric δ13CH4 and CH4 Trends for 2000–2020 from the Atmospheric Transport Model TM5 Using CH4 from Carbon Tracker Europe–CH4 Inversions, Atmosphere, 14, 1121, https://doi.org/10.3390/atmos14071121, 2023. Kuang-Yu Chang, William J. Riley, Nathan Collier, Gavin McNicol, Etienne Fluet-Chouinard, Sara H. Knox, Kyle B. Delwiche, Robert B. Jackson, Benjamin Poulter, Marielle Saunois, Naveen Chandra, Nicola Gedney, Misa Ishizawa, Akihiko Ito, Fortunat Joos, Thomas Kleinen, Federico Maggi, Joe McNorton, Joe R. Melton, Paul Miller, Yosuke Niwa, Chiara Pasut, Prabir K. Patra, Changhui Peng, Sushi Peng, Arjo Segers, Hanqin Tian, Aki Tsuruta, Yuanzhi Yao, Yi Yin, Wenxin Zhang, Zhen Zhang, Qing Zhu, Qiuan Zhu, Qianlai Zhuang. Observational constraints reduce model spread but not uncertainty in global wetland methane emission estimates https://onlinelibrary.wiley.com/doi/10.1111/gcb.16755

Keetz, L.T., Lieungh, E., Karimi-Asli, K., Geange, S.R., Gelati, E., Tang, H., Yilmaz, Y.A., Aas, K.S., Althuizen, I.H.J., Bryn, A., Falk, S., Fisher, R., Fouilloux, A., Horvath, P., Indrehus, S., Lee, H., Lombardozzi, D., Parmentier, F.-J.W., Pirk, N., Vandvik, V., Vollsnes, A.V., Skarpaas, O., Stordal, F., Tallaksen, L.M., n.d. Climate–ecosystem modelling made easy: The Land Sites Platform. Global Change Biology n/a. https://doi.org/10.1111/gcb.16808

Parkatti, V-P., Tahvonen, O., Viskari, T., Liski, J. (2023). Including soil alters the optimization of forestry with carbon sinks. Canadian Journal of Forest Research. 53(8): 591-604. https://doi.org/10.1139/cjfr-2022-0226 Yin, J., Gao, Y., Chen, R., Yu, D., Wilby, R., Wright, N., Ge, Y., Bricker, J., Gong, H., Guan, M. (2023). Flash floods: why are more of them devastating the world’s driest regions?. Nature, 615(7951), 212-215, https://doi.org/10.1038/d41586-023-00626-9 Heimsch L, Huusko K, Karhu K, Mganga KZ, Kalu S, Kulmala L (2023) Effects of a tree row on greenhouse gas fluxes, growing conditions and soil microbial communities on an oat field in Southern Finland. Agriculture, Ecosystems & Environment 352, 108525. https://doi.org/10.1016/j.agee.2023.108525

Raymond CM, Lechner A, Havu M, Jalkanen J, Lampinen J, García Antúnez O, Olafsson AS, Gulsrud N, Kinnunen A, Backman L, Kulmala L, Järvi L (2023) Identifying where nature-based solutions can offer win-wins for carbon mitigation and biodiversity across knowledge systems. npj Urban Sustain 3, 27, https://www.nature.com/articles/s42949-023-00103-2

Orttenvuori S, Laurila T, Backman L, Karvinen E, Nieminen E, Vekuri H, Nevalainen O, Rainne J, Liski J and Kulmala L (2023) Carbon balance of an afforested wasteland: A case study to quantify emission offset units, FMI’s Clim. Bull. Res. Lett.[preprint]https://doi.org/10.35614/ISSN-2341-6408-IK-2023-04-RL

Lintunen A, Aalto J, Asmi A, Aurela M, Bäck J, Ehn M, Ezhova E, Hakola H, Hartonen K, Heinonsalo J, Hellén H, Hölttä T, Jokinen T, Järvi L, Järvinen H, Kangasluoma J, Kerminen V.-M, Kolari P, Köster K, Köster E, Kulmala L, Kurten T, Laaksonen A, Lappalainen H.K, Laurila T, Lehtipalo K, Lihavainen H, Lohila A, Losoi M, Mäkelä A, Makkonen R, Mammarella I, Mikkonen S, Moisseev D, Ojala A, Petäjä T, Pihlatie M, Porcar-Castell A, Praplan A. P, Pulliainen J, Pumpanen J, Rantala P, Riekkola M.-L, Rissanen K, Romakkaniemi S, Ruiz-Jimenez J, Sarnela N, Schallhart S, Schiestl-Aalto P, Rinne J, Tuittila E.-S, Vehkamäki H, Vesala T, Viisanen Y, Virtanen A, Ylivinkka I, Hari P. & Kulmala M. 2023: The Center of Excellence in Atmospheric Science (2002–2019) — from molecular and biological processes to the global climate. Boreal Env. Res. 28: 15–80. http://www.borenv.net/BER/archive/pdfs/ber28/ber28-015-080.pdf

Vekuri H, Tuovinen JP, Kulmala L, Papale D, Kolari P, Aurela M, Laurila T, Liski, J, Lohila A. (2023) A widely-used eddy covariance gap-filling method creates systematic bias in carbon balance estimates. Sci Rep 13, 1720. https://doi.org/10.1038/s41598-023-28827-2 Petrescu, A. M. R., Qiu, C., McGrath, M. J., Peylin, P., Peters, G. P., Ciais, P., Thompson, R. L., Tsuruta, A., Brunner, D., Kuhnert, M., Matthews, B., Palmer, P. I., Tarasova, O., Regnier, P., Lauerwald, R., Bastviken, D., Höglund-Isaksson, L., Winiwarter, W., Etiope, G., Aalto, T., Balsamo, G., Bastrikov, V., Berchet, A., Brockmann, P., Ciotoli, G., Conchedda, G., Crippa, M., Dentener, F., Groot Zwaaftink, C. D., Guizzardi, D., Günther, D., Haussaire, J.-M., Houweling, S., Janssens-Maenhout, G., Kouyate, M., Leip, A., Leppänen, A., Lugato, E., Maisonnier, M., Manning, A. J., Markkanen, T., McNorton, J., Muntean, M., Oreggioni, G. D., Patra, P. K., Perugini, L., Pison, I., Raivonen, M. T., Saunois, M., Segers, A. J., Smith, P., Solazzo, E., Tian, H., Tubiello, F. N., Vesala, T., van der Werf, G. R., Wilson, C., and Zaehle, S.: The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019, Earth Syst. Sci. Data, 15, 1197–1268, https://doi.org/10.5194/essd-15-1197-2023, 2023.

Tsuruta, A.; Kivimäki, E.; Lindqvist, H.; Karppinen, T.; Backman, L.; Hakkarainen, J.; Schneising, O.; Buchwitz, M.; Lan, X.; Kivi, R.; Chen, H.; Buschmann, M.; Herkommer, B.; Notholt, J.; Roehl, C.; Té, Y.; Wunch, D.; Tamminen, J.; Aalto, T. CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes. Remote Sens. 2023, 15, 1620. https://doi.org/10.3390/rs15061620

Bohm, K., Kaakinen, A., Stevens, T., Lahaye, Y., O’Brien, H., Tang, H., Shang, Y., Zhang, H., Lu, H. (2023). Neogene global climate change and East Asian dust sources: Combined rutile geochemistry and zircon U-Pb analysis from the northern Chinese Loess Plateau. Global and Planetary Change, 221: 104049. https://doi.org/10.1016/j.gloplacha.2023.104049

Tang, H., Haugvaldstad, O.W., Stordal, F., Bi, J., Groot Zwaaftink, C.D., Grythe, H., Wang, B., Rao, Z., Zhang, Z., Berntsen, T., Kaakinen, A., 2023. Modelling the 2021 East Asia super dust storm using FLEXPART and FLEXDUST and its comparison with reanalyses and observations. Front. Environ. Sci. 10. https://doi.org/10.3389/fenvs.2022.1013875

2022

Lambert, M.S.A., Tang, H., Aas, K.S., Stordal, F., Fisher, R.A., Fang, Y., Ding, J., Parmentier, F.-J.W., 2022. Inclusion of a cold hardening scheme to represent frost tolerance is essential to model realistic plant hydraulics in the Arctic–boreal zone in CLM5.0-FATES-Hydro. Geoscientific Model Development 15, 8809–8829. https://doi.org/10.5194/gmd-15-8809-2022

Wang, F., Maksyutov, S., Janardanan, R., Tsuruta, A., Ito, A., Morino, I., Yoshida, Y., Tohjima, Y., Kaiser, J. W., Lan, X., Zhang, Y., Mammarella, I., Lavric, J. V., and Matsunaga, T. (2022): Atmospheric observations suggest methane emissions in north-eastern China growing with natural gas use, Sci Rep, 12, 18587, https://doi.org/10.1038/s41598-022-19462-4.

Tang Y, Schiestl-Aalto P, Saurer M, Sahlstedt E, Kulmala L, Kolari P, Ryhti K, Salmon Y, Jyske T, Ding Y, Bäck J, Rinne-Garmston KT (2022) Tree organ growth and carbon allocation dynamics impact the magnitude and δ13C signal of stem and soil CO2 fluxes, Tree physiology, tpac079, https://doi.org/10.1093/treephys/tpac079

Kulmala L, Peltokangas K, Heinonsalo J, Pihlatie M, Laurila T, Liski J, Lohila A (2022) Effects of biochar and ligneous soil amendments on greenhouse gas exchange during extremely dry growing season in a Finnish cropland. Frontiers in Sustainable Food Systems 6:951518. https://doi.org/10.3389/fsufs.2022.951518

Mäkelä, J., Arppe, L., Fritze, H., Heinonsalo, J., Karhu, K., Liski, J., Oinonen, M., Strakova, P., and Viskari, T.: Implementation and initial calibration of carbon-13 soil organic matter decomposition in the Yasso model. Biogeosciences, 19, 4305-4313, 2022

Huang, W., van Bodegom, P.M., Declerck, S., Heinonsalo, J., Cosme, M., Viskari, T., Liski, J., and Soudzilovskaia, N.A.: Mycelium chemistry differs markedly between ectomycorrhizal and arbuscular mycorrhizal fungi. Commun Biol, 5, 398, 2022

Huang, W., van Bodegom, P.M., Viskari, T., Liski, J., and Soudzilovskaia, N.A.: Implementation of mycorrhizal mechanisms into soil carbon model improves the prediction of long-term processes of plant litter decomposition. Biogeosciences, 19, 1469–1490, https://doi.org/10.5194/bg-19-1469-2022, 2022

Viskari, T., Pusa, J., Fer, I., Repo, A., Vira, J., and Liski, J.: Calibrating the soil organic carbon model Yasso20 with multiple datasets. Geosci Model Dev, 15, 1735–1752, https://doi.org/10.5194/gmd-15-1735-2022, 2022

Mäki M, Ryhti K, Fer I, Ťupek B, Vestin P. Roland M, Lehner I, Köster E, Lehtonen A, Bäck J, Heinonsalo J, Pumpanen J, Kulmala L (2022) Heterotrophic and rhizospheric respiration in coniferous forest soils along a latitudinal gradient. Agricultural and Forest Meteorology 317, 108876 https://doi.org/10.1016/j.agrformet.2022.108876 

Havu M, Kulmala L, Kolari P, Vesala T, Riikonen A, and Järvi L (2022): Carbon sequestration potential of street tree plantings in Helsinki, Biogeosciences, 19, 2121–2143, 2022, https://doi.org/10.5194/bg-19-2121-2022

Kalu S, Kulmala L, Zrim J, Peltokangas K, Tammeorg P, Rasa K, Kitzler B, Pihlatie M, Karhu K (2022): Potential of biochar to reduce greenhouse gas emissions and increase nitrogen use efficiency in boreal arable soils, Frontiers in Environmental Science, section Soil Processes 10, 914766 https://doi.org/10.3389/fenvs.2022.914766

Ryhti K, Schiestl-Aalto P, Tang Y,  Rinne-Garmston KT, Ding Y, Pumpanen J, Biasi C,  Saurer M,  Bäck J, Kulmala L (2022): Effects of variable temperature and moisture conditions on respiration and nonstructural carbohydrate dynamics of tree roots, Agricultural and Forest Meteorology 323, 109040 https://doi.org/10.1016/j.agrformet.2022.109040

Kangasaho, V., Tsuruta, A., Backman, L., Mäkinen, P., Houweling, S., Segers, A., Krol, M., Dlugokencky, E. J., Michel, S., White, J. W. C., and Aalto, T.: The Role of Emission Sources and Atmospheric Sink in the Seasonal Cycle of CH4 and δ13-CH4: Analysis Based on the Atmospheric Chemistry Transport Model TM5, Atmosphere, 13, 888, https://doi.org/10.3390/atmos13060888, 2022.

Vira, J., Hess, P., Ossohou, M., and Galy-Lacaux, C.: Evaluation of interactive and prescribed agricultural ammonia emissions for simulating atmospheric composition in CAM-chem, Atmos. Chem. Phys., 22, 1883–1904, https://doi.org/10.5194/acp-22-1883-2022, 2022.

Tyystjärvi, V., Kemppinen, J., Luoto,M., Aalto, T., Markkanen, T., Launiainen, S., Kieloaho, A.-J., &Aalto, J. (2022). Modelling spatio-temporal soil moisture dynamics in mountain tundra. Hydrological Processes,36(1),e14450. https://doi.org/10.1002/hyp.14450.

Stavert, A. R., Saunois, M., Canadell, J. G., Poulter, B., Jackson, R. B., Regnier, P., Lauerwald, R., Raymond, P. A., Allen, G. H., Patra, P. K., Bergamaschi, P., Bousquet, P., Chandra, N., Ciais, P., Gustafson, A., Ishizawa, M., Ito, A., Kleinen, T., Maksyutov, S., McNorton, J., Melton, J. R., Müller, J., Niwa, Y., Peng, S., Riley, W. J., Segers, A., Tian, H., Tsuruta, A., Yin, Y., Zhang, Z., Zheng, B., and Zhuang, Q. (2022): Regional trends and drivers of the global methane budget, 28, 182–200, https://doi.org/10.1111/gcb.15901.

Thompson, R. L.; Groot Zwaaftink, C. D.; Brunner, D.; Tsuruta, A.; Aalto, T.; Raivonen, M.; Crippa, M.; Solazzo, E.; Guizzardi, D.; Regnier, P.; Maisonnier, M. (2022) Effects of Extreme Meteorological Conditions in 2018 on European Methane Emissions Estimated Using Atmospheric Inversions. Phil. Trans. R. Soc. A., 380 (2215), 20200443. https://doi.org/10.1098/rsta.2020.0443.

2021

Tenkanen, M.; Tsuruta, A.; Rautiainen, K.; Kangasaho, V.; Ellul, R.; Aalto, T. (2021) Utilizing Earth Observations of Soil Freeze/Thaw Data and Atmospheric Concentrations to Estimate Cold Season Methane Emissions in the Northern High Latitudes. Remote Sens., 13, 5059, https://doi.org/10.3390/rs13245059.

Shiklomanov, A. N., Dietze, M. C., Fer, I., Viskari, T., and Serbin, S. P. (2021) Cutting out the middleman: calibrating and validating a dynamic vegetation model (ED2-PROSPECT5) using remotely sensed surface reflectance, Geosci. Model Dev., 14, 2603–2633, https://doi.org/10.5194/gmd-14-2603-2021.

Rankinen, K., Holmberg, M., Peltoniemi, M., Akujärvi, A., Anttila, K., Manninen, T. and Markkanen, T. (2021), Framework to Study the Effects of Climate Change on Vulnerability of Ecosystems and Societies: Case Study of Nitrates in Drinking Water in Southern Finland, Water, 13(4), 472, https://doi.org/10.3390/w13040472.

Caldararu, S., Thum, T., Yu, L., Kern, M., Nair, R., & Zaehle, S. (2021). Long-term ecosystem nitrogen limitation from foliar δ15N data and a land surface model. Global Change Biology, 00, 1– 16. https://doi.org/10.1111/gcb.15933.

Berchet, A., Sollum, E., Thompson, R. L., Pison, I., Thanwerdas, J., Broquet, G., Chevallier, F., Aalto, T., Berchet, A., Bergamaschi, P., Brunner, D., Engelen, R., Fortems-Cheiney, A., Gerbig, C., Groot Zwaaftink, C. D., Haussaire, J.-M., Henne, S., Houweling, S., Karstens, U., Kutsch, W. L., Luijkx, I. T., Monteil, G., Palmer, P. I., van Peet, J. C. A., Peters, W., Peylin, P., Potier, E., Rödenbeck, C., Saunois, M., Scholze, M., Tsuruta, A., and Zhao, Y. (2021) The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies, Geosci. Model Dev., 14, 5331–5354, https://doi.org/10.5194/gmd-14-5331-2021.

Park, S.-B.; Knohl, A.; Migliavacca, M.; Thum, T.; Vesala, T.; Peltola, O.; Mammarella, I.; Prokushkin, A.; Kolle, O.; Lavrič, J.; Park, S.S.; Heimann, M. (2021). Temperature Control of Spring CO2 Fluxes at a Coniferous Forest and a Peat Bog in Central Siberia. Atmosphere, 12, 984. https://doi.org/10.3390/atmos12080984.

Blujdea V, Viskari T, Kulmala L, Liski J, Garbacea G, Miclaus M, Marin G (2021) Silvicultural interventions drive the changes in soil organic carbon in Romanian forests based on two model simulations. Forests 12(6), 795. https://doi.org/10.3390/f12060795.

Heimsch L, Lohila A, Tuovinen J-P, Vekuri H, Heinonsalo J, Nevalainen O, Korkiakoski M, Liski J, Laurila T, and Kulmala L (2021): Carbon dioxide fluxes and carbon balance of an agricultural grassland in southern Finland. Biogeosciences 18, 3467–3483. https://doi.org/10.5194/bg-18-3467-2021.

Ding Y, Leppälammi-Kujansuu J, Salemaa M, Schiestl-Aalto P, Kulmala L, Ukonmaanaho L, Nöjd P, Minkkinen K, Makita N, Železnik P, Merilä P, Helmisaari H-S (2021) Distinct patterns of below- and aboveground growth phenology and litter carbon inputs along a boreal site type gradient. Forest Ecology and Management 489. https://doi.org/10.1016/j.foreco.2021.119081.

Knox, S. H.; Bansal, S.; McNicol, G.; Schafer, K.; Sturtevant, C.; Ueyama, M.; Valach, A. C.; Baldocchi, D.; Delwiche, K.; Desai, A. R.; Euskirchen, E.; Liu, J.; Lohila, A.; Malhotra, A.; Melling, L.; Riley, W.; Runkle, B. R. K.; Turner, J.; Vargas, R.; Zhu, Q.; Aalto, T.; Fluet-Chouinard, E.; Goeckede, M.; Melton, J. R.; Sonnentag, O.; Vesala, T.; Ward, E.; Zhang, Z.; Feron, S.; Ouyang, Z.; Alekseychik, P.; Aurela, M.; Bohrer, G.; Campbell, D. I.; Chen, J.; Chu, H.; Dalmagro, H. J.; Goodrich, J. P.; Gottschalk, P.; Hirano, T.; Iwata, H.; Jurasinski, G.; Kang, M.; Koebsch, F.; Mammarella, I.; Nilsson, M. B.; Ono, K.; Peichl, M.; Peltola, O.; Ryu, Y.; Sachs, T.; Sakabe, A.; Sparks, J. P.; Tuittila, E.-S.; Vourlitis, G. L.; Wong, G. X.; Windham-Myers, L.; Poulter, B.; Jackson, R. B. (2021) Identifying Dominant Environmental Predictors of Freshwater Wetland Methane Fluxes across Diurnal to Seasonal Time Scales. Global Change Biology. https://doi.org/10.1111/gcb.15661.

Petrescu, A. M. R., Qiu, C., Ciais, P., Thompson, R. L., Peylin, P., McGrath, M. J., Solazzo, E., Janssens-Maenhout, G., Tubiello, F. N., Bergamaschi, P., Brunner, D., Peters, G. P., Höglund-Isaksson, L., Regnier, P., Lauerwald, R., Bastviken, D., Tsuruta, A., Winiwarter, W., Patra, P. K., Kuhnert, M., Oreggioni, G. D., Crippa, M., Saunois, M., Perugini, L., Markkanen, T., Aalto, T., Groot Zwaaftink, C. D., Yao, Y., Wilson, C., Conchedda, G., Günther, D., Leip, A., Smith, P., Haussaire, J.-M., Leppänen, A., Manning, A. J., McNorton, J., Brockmann, P., and Dolman, A. J. (2021) The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017. Earth Syst. Sci. Data, 13. https://doi.org/10.5194/essd-13-2307-2021.

J.S. Clark, R. Andrus, M. Aubry-Kientz, Y. Bergeron, M. Bogdziewicz, D.C. Bragg, D. Brockway, N.L. Cleavitt, S. Cohen, B. Courbaud, R. Daley, A.J. Das, M. Dietze, T.J. Fahey, I. Fer, J.F. Franklin, C.A. Gehring, G.S. Gilbert, C.H. Greenberg, Q. Guo, J. Hille Ris Lambers, I. Ibanez, J. Johnstone, C.L. Kilner, J. Knops, W.D. Koenig, G. Kunstler, J.M. LaMontagne, K.L. Legg, J. Luongo , J.A. Lutz, D. Macias, E.J.B. McIntire, Y. Messaoud, C.M. Moore, E. Moran, J.A. Myers, O.B. Myers, C. Nunez, R. Parmenter, S. Pearse, S. Pearson, R. Poulton-Kamakura, E. Ready, M.D. Redmond, C.D. Reid, K.C. Rodman, C.L. Scher, W.H. Schlesinger, A.M. Schwantes, E. Shanahan, S. Sharma, M. Steele, N.L. Stephenson, S. Sutton, J.J. Swenson, M. Swift, T.T. Veblen, A.V. Whipple, T.G. Whitham, A.P. Wion, K. Zhu, R. Zlotin (2021) Continent-wide Tree Fecundity Driven by Indirect Climate Effects. Nature Communications. https://doi.org/10.1038/s41467-020-20836-3.

Matkala L, Kulmala L, Kolari P, Aurela M, Bäck J. (2021) Resilience of carbon dioxide and water exchange to extreme weather events in subarctic Scots pine and Norway spruce stands. Agricultural and Forest Meteorology 296. https://doi.org/10.1016/j.agrformet.2020.108239.

Ryhti K, Kulmala L, Pumpanen J, Isotalo J, Pihlatie M, Helmisaari, H-S,Leppälammi-Kujansuu J, Kieloaho A-J, Bäck J, Heinonsalo J (2021): Partitioning of forest floor CO2 emissions reveals the belowground interactions between different plant groups in a Scots pine stand in southern Finland. Agricultural and Forest Meteorology 297. https://doi.org/10.1016/j.agrformet.2020.108266.

2020

Chadburn, S. E., Aalto, T., Aurela, M., Baldocchi, D., Biasi, C., Boike, J., Burke, E. J., Comyn‐Platt, E., Dolman, A. J., Duran‐Rojas, C., Fan, Y., Friborg, T., Gao, Y., Gedney, N., Göckede, M., Hayman, G. D., Holl, D., Hugelius, G., Kutzbach, L., Lee, H., Lohila, A., Parmentier, F. W., Sachs, T., Shurpali, N. J. and Westermann, S. (2020): Modeled Microbial Dynamics Explain the Apparent Temperature Sensitivity of Wetland Methane Emissions ,Global Biogeochemical Cycles, 34 (11), doi:https://doi.org/10.1029/2020GB006678 , hdl:10013/epic.ea2c2024-502e-44ff-889f-26a1608285d6.

Ding Y., Schiestl-Aalto P., Helmisaari H.S., Makita N., Ryhti K., Kulmala L (2020): Temperature and moisture dependence of daily growth of Scots pine (Pinus sylvestris L.) roots in southern Finland. Tree physiology 40: 272–283. https://doi.org/10.1093/treephys/tpz131.

Farina R, Sándor R, Abdalla M, Alvaro-Fuentes J, Bechini L, Bolinder M, Brilli L, Claire C, Clivot H, De Antoni Migliorati M, Di Bene C, Dorich CD, Ehrhardt F, Ferchaud F, Fitton N, Francaviglia R, Franko U, Giltrap D, Grant B, Guenet B, Harrison M, Kirschbaum M, Kuka K, Kulmala L, Liski J, Mcgrath M, Meier E, Menichetti L, Moyano F, Nendel C, Recous S, Reibold N, Shepherd A, Smith W, Smith P, Soussana J-F, Stella T, Taghizadeh-toosi A, Tsutskikh E, Bellocchi G (2020): Ensemble modelling uncertainty and robust predictions of organic carbon in long-term bare-fallow soils. Global Change Biology. https://doi.org/10.1111/gcb.15441.

Fer, I. (2020) Analysis of Vegetation-Water Interactions: Application and Comparison of Maximum-Likelihood Estimation and Bayesian Inference. In: Levia D., Carlyle-Moses D., Iida S., Michalzik B., Nanko K., Tischer A. (eds) Forest-Water Interactions. Ecological Studies (Analysis and Synthesis), vol 240. Springer, Cham. https://doi.org/10.1007/978-3-030-26086-6_9.

Hou, M.T., Venäläinen, A.K., Wang, L.P., Pirinen, P., Gao Y., Jin, S.F., Zhu, Y.X., Qin, F.Y., and Hu, Y.H. (2020): Spatio-temporal divergence in the responses of Finland’s boreal forests to climate variables. International Journal of Applied Earth Observation and Geoinformation, 92, 102186, https://doi.org/10.1016/j.jag.2020.102186.

Jackson, R. B., Saunois, M., Bousquet, P., Canadell, J. G., Poulter, B., Stavert, A. R., Bergamaschi, P., Niwa, Y., Segers, A. and Tsuruta, A. (2020): Increasing anthropogenic methane emissions arise equally from agricultural and fossil fuel sources, Environ. Res. Lett., 15(7), 071002, doi:10.1088/1748-9326/ab9ed2.

Janardanan, R., Maksyutov, S., Tsuruta, A., Wang, F., Tiwari, Y. K., Valsala, V., Ito, A., Yoshida, Y., Kaiser, J. W., Janssens-Maenhout, G., Arshinov, M., Sasakawa, M., Tohjima, Y., Worthy, D. E. J., Dlugokencky, E. J., Ramonet, M., Arduini, J., Lavric, J. V., Piacentino, S., Krummel, P. B., Langenfelds, R. L., Mammarella, I. and Matsunaga, T. (2020): Country-Scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations, Remote Sensing, 12(3), 375, doi:10.3390/rs12030375.

Mäkelä, J., Minunno, F., Aalto, T., Mäkelä, A., Markkanen, T., and Peltoniemi, M. (2020): Sensitivity of 21st century simulated ecosystem indicators to model parameters, prescribed climate drivers, RCP scenarios and forest management actions for two Finnish boreal forest sites, Biogeosciences, 17, 2681–2700, https://doi.org/10.5194/bg-17-2681-2020.

Saunois, M., Stavert, A. R., Poulter, B., Bousquet, P., Canadell, J. G., Jackson, R. B., Raymond, P. A., Dlugokencky, E. J., Houweling, S., Patra, P. K., Ciais, P., Arora, V. K., Bastviken, D., Bergamaschi, P., Blake, D. R., Brailsford, G., Bruhwiler, L., Carlson, K. M., Carrol, M., Castaldi, S., Chandra, N., Crevoisier, C., Crill, P. M., Covey, K., Curry, C. L., Etiope, G., Frankenberg, C., Gedney, N., Hegglin, M. I., Höglund-Isaksson, L., Hugelius, G., Ishizawa, M., Ito, A., Janssens-Maenhout, G., Jensen, K. M., Joos, F., Kleinen, T., Krummel, P.B., Langenfelds, R. L., Laruelle, G. G., Liu, L., Machida, T., Maksyutov, S., McDonald, K. C., McNorton, J., Miller, P. A., Melton, J. R., Morino, I., Müller, J., Murguia-Flores, F., Naik, V., Niwa, Y., Noce, S., O’Doherty, S., Parker, R. J., Peng, C., Peng, S., Peters, G. P., Prigent, C., Prinn, R., Ramonet, M., Regnier, P., Riley, W. J., Rosentreter, J. A., Segers, A., Simpson, I. J., Shi, H., Smith, S. J., Steele, L. P., Thornton, B. F., Tian, H., Tohjima, Y., Tubiello, F. N., Tsuruta, A., Viovy, N., Voulgarakis, A., Weber, T. S., Weele, M. van, Werf, G. R. van der, Weiss, R. F., Worthy, D., Wunch, D., Yin, Y., Yoshida, Y., Zhang, W., Zhang, Z., Zhao, Y., Zheng, B., Zhu, Q., Zhu, Q. and Zhuang, Q. (2020): The Global Methane Budget 2000–2017, Earth System Science Data, 12(3), 1561–1623, doi:https://doi.org/10.5194/essd-12-1561-2020.

Viskari, T., Laine, M., Kulmala, L., Mäkelä, J., Fer, I., and Liski, J. (2020): Improving Yasso15 soil carbon model estimates with ensemble adjustment Kalman filter state data assimilation, Geosci. Model Dev., 13, 5959–5971, https://doi.org/10.5194/gmd-13-5959-2020.

Vira, J., Hess, P., Melkonian, J., and Wieder, W. R. (2020): An improved mechanistic model for ammonia volatilization in Earth system models: Flow of Agricultural Nitrogen version 2 (FANv2), Geosci. Model Dev., 13, 4459–4490, https://doi.org/10.5194/gmd-13-4459-2020.

Wang, F., Maksyutov, S. S., Janardanan, R., Tsuruta, A., Ito, A., Morino, I., Yoshida, Y., Tohjima, Y., Kaiser, J. W., Janssens-Maenhout, G., Lan, X., Mammarella, I., Lavric, J. V. and Matsunaga, T., 2020: Interannual variability on methane emissions in monsoon Asia derived from GOSAT and surface observations, Environ. Res. Lett., doi:10.1088/1748-9326/abd352. https://iopscience.iop.org/article/10.1088/1748-9326/abd352.

Zhu X., Zhu T., Pumpanen, J., Palviainen M., Zhou X., Kulmala L., Bruckman V.J., Köster E., Köster K., Aaltonen H., Makita N., Wang Y., Berninger F. (2020): Short-term effects of biochar on soil CO2 efflux in boreal Scots pine forests. Annals of Forest Science 77, 59. https://doi.org/10.1007/s13595-020-00960-2.

2019

Adamczyk, B., Sietiö, O.-M., Straková, P., Prommer, J., Wild, N., Hagner, M., Pihlatie, M., Fritze, H., Richter, A. and Heinonsalo, J. (2019) Plant roots increase both decomposition and stable organic matter formation in boreal forest soil. Nature Communications, vol. 10: 3982, https://doi.org/10.1038/s41467-019-11993-1.

Adamczyk, B., Sietiö, O.-M., Biasi, C. and Heinonsalo, J. (2019) Interaction between tannins and fungal necromass stabilizes fungal residues in boreal forest soils. New Phytologist 223: 16–21, https://doi.org/10.1111/nph.15729

Ruosteenoja, K., Markkanen, T., and Räisänen, J. (2019): Thermal seasons in northern Europe in projected future climate. Int J Climatol 33:1673–1686. https://doi.org/10.1002/joc.6466

Sietiö, O.-M., Santalahti, M., Putkinen, A., Adamczyk, S., Sun, H., and Heinonsalo, J. (2019). Restriction of plant roots in boreal forest organic soils affects the microbial community but does not change the dominance from ectomycorrhizal to saprotrophic fungi. FEMS Microbiology Ecology, Vol. 95 (9), fiz133, https://doi.org/10.1093/femsec/fiz133

Mali, T., Mäki, M., Hellén, H., Heinonsalo, J., Bäck, J., and Lundell, T. (2019). Decomposition of spruce wood and release of volatile organic compounds depend on decay type, fungal interactions and enzyme production patterns. FEMS Microbiology Ecology, 95(9). https://doi.org/10.1093/femsec/fiz135.

Kivimäki, E., Lindqvist, H., Hakkarainen, J., Laine, M., Sussmann, R., Tsuruta, A., Detmers, R., Deutscher, N. M., Dlugokencky, E. J., Hase, F., Hasekamp, O., Kivi, R., Morino, I., Notholt, J., Pollard, D. F., Roehl, C., Schneider, M., Sha, M. K., Velazco, V. A., Warneke, T., Wunch, D., Yoshida, Y. and Tamminen, J.: Evaluation and Analysis of the Seasonal Cycle and Variability of the Trend from GOSAT Methane Retrievals, Remote Sensing, 11(7), 882,2019. doi:10.3390/rs11070882

Karhu K, Hilasvuori E, Järvenpää M, Arppe L, Christensen B, T, Fritze H, Kulmala L, Oinonen M, Pitkänen J, M, Vanhala P, Heinonsalo J, Liski J, (2019) Similar temperature sensitivity of soil mineral-associated organic carbon regardless of age. Soil Biology and Biochemistry 136, 107527. https://doi.org/10.1016/j.soilbio.2019.107527

Ťupek B, Launiainen S, Peltoniemi M, Sievänen R, Perttunen J, Kulmala L, Penttilä T, Lindroos A, Hashimoto S, Lehtonen A. (2019) Evaluating CENTURY and Yasso soil carbon models for CO2 emissions and organic carbon stocks of boreal forest soil with Bayesian multi‐model inference. Eur J Soil Sci 70: 47-858. https://doi.org/10.1111/ejss.12805

Viskari, T., Shiklomanov, A.N., Dietze, M.C., and Serbin, P.S.: The impact of canopy radiation transfer parameter uncertainty on modeled forest properties, carbon and energy cycling. PLoS ONE, 14(7): e0216512. https://doi.org/10.1371/journal.pone.0216512, 2019.

Peltola, O., Vesala, T., Gao, Y., Räty, O., Alekseychik, P., Aurela, M., Chojnicki, B., Desai, A. R., Dolman, A. J., Euskirchen, E. S., Friborg, T., Göckede, M., Helbig, M., Humphreys, E., Jackson, R. B., Jocher, G., Joos, F., Klatt, J., Knox, S. H., Kutzbach, L., Lienert, S., Lohila, A., Mammarella, I., Nadeau, D. F., Nilsson, M. B., Oechel, W. C., Peichl, M., Pypker, T., Quinton, W., Rinne, J., Sachs, T., Samson, M., Schmid, H. P., Sonnentag, O., Wille, C., Zona, D., and Aalto, T.: Monthly Gridded Data Product of Northern Wetland Methane Emissions Based on Upscaling Eddy Covariance Observations, Earth Syst. Sci. Data, 11, 1263–1289, https://doi.org/10.5194/essd-11-1263-2019.

Mäkelä, J., Knauer, J., Aurela, M., Black, A., Heimann, M., Kobayashi, H., Lohila, A., Mammarella, I., Margolis, H., Markkanen, T., Susiluoto, J., Thum, T., Viskari, T., Zaehle, S., and Aalto, T.: Land surface model photosynthesis and parameter calibration for boreal sites with adaptive population importance sampler, Geosci. Model Dev., 12, 4075–4098, https://doi.org/10.5194/gmd-12-4075-2019.

Mäki, M., Aaltonen, H., Heinonsalo, J., Hellén, H., Pumpanen, J. and Bäck, J (2019). Boreal forest soil is a significant and diverse source of volatile organic compounds. Plant and Soil. 441 (1-2): 89-110. https://doi.org/10.1007/s11104-019-04092-z.

Tsuruta, A., T. Aalto, L. Backman, M. C. Krol, W. Peters, S. Lienert, F. Joos, P. A. Miller W. Zhang, T. Laurila, J. Hatakka, A. Leskinen, K. Lehtinen, O. Peltola, T. Vesala, J. Levula, E. Dlugokencky, M. Heimann, L. Kozlova, M. Aurela, A. Lohila, M. Kauhaniemi, and A. J. Gomez-Pelaez. Methane budget estimates in Finland from the CarbonTracker Europe-CH4 data assimilation system, Tellus B: Chemical and Physical Meteorology 71, 1445379, 2019, DOI: 10.1080/16000889.2018.1565030, https://doi.org/10.1080/16000889.2018.1565030

Manninen T., T. Aalto, T. Markkanen, M. Peltoniemi, K. Böttcher, S. Metsämäki, K. Anttila, P. Pirinen, A. Nadir Arslan. Monitoring changes in forestry and seasonal snow using surface albedo during 1982‒2016 as an indicator. Biogeosciences, 16, 223–240, 2019, https://doi.org/10.5194/bg-16-223-2019

Holmberg M, Aalto T, Akujärvi A, Arslan A, Bergström I, Böttcher K, Lahtinen I, Mäkelä A, Markkanen T, Minunno F, Peltoniemi M, Rankinen K, Vihervaara P, Forsius M. Ecosystem services related to carbon cycling - modelling present and future impacts in boreal forests. Frontiers in Plant Science 10:343, 2019, https://doi.org/10.3389/fpls.2019.00343

Schiestl-Aalto P, Ryhti K, Mäkelä A, Peltoniemi M, Bäck B, Kulmala L (2019) Analysis of the NSC storage dynamics in tree organs reveals the allocation to belowground symbionts in the framework of whole tree carbon balance. Frontiers in Forests and Global Change 2:17, https://doi.org/10.3389/ffgc.2019.00017

Kulmala L, Pumpanen J, Kolari P, Dengel S, Berninger F, Köster K, Matkala L, Vanhatalo A, Vesala T, Bäck J (2019) Inter- and intra-annual dynamics of photosynthesis differ between forest floor vegetation and tree canopy in a subarctic Scots pine stand, Agricultural and Forest Meteorology 271: 1-11. DOI: 10.1016/j.agrformet.2019.02.029.

Wang, F., Maksyutov, S., Tsuruta, A., Janardanan, R., Ito, A., Sasakawa, M., Machida, T., Morino, I., Yoshida, Y., Kaiser, J. W., Janssens-Maenhout, G., Dlugokencky, E. J., Mammarella, I., Lavric, J. V. and Matsunaga, T. (2019): Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories, Remote Sensing, 11(21), 2489, doi:10.3390/rs11212489.

Zhou, X., Sun, H., Pumpanen, J., Sietiö, O-M., Heinonsalo, J., Köster, K., and Berninger, F. (2019). The impact of wildfire on microbial C:N:P stoichiometry and the fungal-to-bacterial ratio in permafrost soil. Biogeochemistry, 142(1), 1-17. https://doi.org/10.1007/s10533-018-0510-6.

2018

Bergamaschi, P., Karstens, U., Manning, A. J., Saunois, M., Tsuruta, A., Berchet, A., Vermeulen, A. T., Arnold, T., Janssens-Maenhout, G., Hammer, S., Levin, I., Schmidt, M., Ramonet, M., Lopez, M., Lavric, J., Aalto, T., Chen, H., Feist, D. G., Gerbig, C., Haszpra, L., Hermansen, O., Manca, G., Moncrieff, J., Meinhardt, F., Necki, J., Galkowski, M., O'Doherty, S., Paramonova, N., Scheeren, H. A., Steinbacher, M., and Dlugokencky, E.: Inverse modelling of European CH4 emissions during 2006–2012 using different inverse models and reassessed atmospheric observations, Atmos. Chem. Phys., 18, 901-920, https://doi.org/10.5194/acp-18-901-2018, 2018

Susiluoto, J., Raivonen, M., Backman, L., Laine, M., Mäkelä, J., Peltola, O., Vesala, T., and Aalto, T.: Calibrating a wetland methane emission model with hierarchical modeling and adaptive MCMC, Geosci. Model Dev., 11, 1199–1228, 2018 https://doi.org/10.5194/gmd-11-1199-2018

A. Tsuruta, T. Aalto, L. Backman, M. C. Krol, W. Peters, S. Lienert, F. Joos, P. A. Miller W. Zhang, T. Laurila, J. Hatakka, A. Leskinen, K. Lehtinen, O. Peltola, T. Vesala, J. Levula, E. Dlugokencky, M. Heimann, L. Kozlova, M. Aurela, A. Lohila, M. Kauhaniemi, and A. J. Gomez-Pelaez. Methane budget estimates in Finland from the CarbonTracker Europe-CH₄ data assimilation system, Tellus B (in press)

Zhou, X., Sun, H., Pumpanen, J., Sietiö, O-M., Heinonsalo, J., Köster, K. & Berninger, F., The impact of wildfire on microbial C:N:P stoichiometry and the fungal-to-bacterial ratio in permafrost soil 2018, Biogeochemistry (in press) https://doi.org/10.1007/s10533-018-0510-6.

Santalahti, M., Sun, H., Sietiö, O-M., Köster, K., Berninger, F., Laurila, T., Pumpanen, J. & Heinonsalo, J., Dec 2018, Reindeer grazing alter soil fungal community structure and litter decomposition related enzyme activities in boreal coniferous forests in Finnish Lapland. Applied Soil Ecology, Vol 132 (2018), pp 74-82, https://doi.org/10.1016/j.apsoil.2018.08.013

Könönen, M., Jauhiainen, J., Straková, P., Heinonsalo, J., Laiho, R., Kusin, K., Limin, S. & Vasander, H., 29 May 2018, Deforested and drained tropical peatland sites show poorer peat substrate quality and lower microbial biomass and activity than unmanaged swamp forest (2018) Soil Biology & Biochemistry 123: 229?241. doi: 10.1016/j.soilbio.2018.04.028

Palviainen, M., Berninger, F., Bruckman, V. J., Köster, K., de Assumpcao, C. R. M., Aaltonen, H., Makita, N., Mishra, A., Kulmala, L., Adamczyk, B., Zhou, X., Heinonsalo, J., Köster, E. & Pumpanen, J.,  Effects of biochar on carbon and nitrogen fluxes in boreal forest soil. (2018)  Plant and Soil. 425, 1-2, pp. 71-85.

Köster, K., Köster, E., Berninger, F., Heinonsalo, J. & Pumpanen, J., Contrasting effects of reindeer grazing on CO2, CH4, and N2O fluxes originating from the northern boreal forest floor. (2018) Land Degradation & Development 29:374-381. DOI: 10.1002/ldr.2868

2017

Lauer, A., Jones, C., Eyring, V., Evaldsson, M., Hagemann, S., Mäkelä, J., Martin, G., Roehrig, R., Wang, S.: Process-level improvements in CMIP5 models and their impact on tropical variability, Southern Ocean and monsoon, Earth Syst. Dynam., in print.

Raivonen, M., Smolander, S., Backman, L., Susiluoto, J., Aalto, T., Markkanen, T., Mäkelä, J., Rinne, J., Peltola, O., Aurela, M., Tomasic, M., Li, X., Larmola, T., Juutinen, S., Tuittila, E.-S., Heimann, M., Sevanto, S., Kleinen, T., Brovkin, V., and Vesala, T.: HIMMELI v1.0: HelsinkI Model of MEthane buiLd-up and emIssion for peatlands, Geosci. Model Dev., 10, 4665-4691, 2017, https://doi.org/10.5194/gmd-10-4665-2017

Pulliainen, J., Aurela, M., Laurila, T., Aalto, T., Takala, M., Salminen, M., Kulmala, M., Barr, A., Heimann, M., Lindroth, A., Laaksonen, A., Derksen, C., Mäkelä, A., Markkanen, T., Lemmetyinen, J., Susiluoto, J., Dengel, S., Mammarella, I., Tuovinen, J.-P., Vesala, T. Early snowmelt significantly enhances boreal springtime carbon uptake. Proceedings of the National Academy of Sciences, vol. 114 no. 42, 11081–11086, doi: 10.1073/pnas.1707889114, 2017.

Y. Gao, T. Markkanen, M. Aurela, I. Mammarella, T. Thum, A. Tsuruta, H. Yang, and T. Aalto. Response of water use efficiency to summer drought in boreal Scots pine forests in Finland. Biogeosciences, 14, 4409-4422, 2017.

RE. Fisher, JL. France, D. Lowry, M. Lanoisellé, R. Brownlow, J. A. Pyle, M. Cain, N. Warwick, UM. Skiba, J. Drewer, K.J. Dinsmore, SR. Leeson, S J.-B. Bauguitte, A. Wellpott, SJ. O'Shea, G. Allen, MW. Gallagher, J. Pitt, CJ. Percival, K. Bower, C. George, GD. Hayman, T. Aalto, A. Lohila, M. Aurela, T. Laurila, P.M. Crill, C.K. McCalley and E.G. Nisbet. Measurement of the 13C isotopic signature of Northern European wetland methane emissions. Global Biogeochem. Cycles,31,605-623, doi:10.1002/2016GB005504, 2017.

van der Laan-Luijkx, I. T., van der Velde, I. R., van der Veen, E., Tsuruta, A., Stanislawska, K., Babenhauserheide, A., Zhang, H. F., Liu, Y., He, W., Chen, H., Masarie, K. A., Krol, M. C., and Peters, W.: The CarbonTracker Data Assimilation Shell (CTDAS) v1.0: implementation and global carbon balance 2001–2015, Geosci. Model Dev., 10, 2785-2800, https://doi.org/10.5194/gmd-10-2785-2017, 2017.

R. L. Thompson, M. Sasakawa, T. Machida, T. Aalto, D. Worthy, J. V. Lavric, C. Lund Myhre and A. Stohl. Methane fluxes in the high northern latitudes for 2005 – 2013 estimated using a Bayesian atmospheric inversion. Atmos. Chem. Phys., doi:10.5194/acp-2016-660, 2017.

Tsuruta, A., Aalto, T., Backman, L., Hakkarainen, J., van der Laan-Luijkx, I. T., Krol, M. C., Spahni, R., Houweling, S., Laine, M., Dlugokencky, E., Gomez-Pelaez, A. J., van der Schoot, M., Langenfelds, R., Ellul, R., Arduini, J., Apadula, F., Gerbig, C., Feist, D. G., Kivi, R., Yoshida, Y., and Peters, W.: Global methane emission estimates for 2000-2012 from CarbonTracker Europe-CH4 v1.0, Geosci. Model Dev., 10, 1261-1289, doi:10.5194/gmd-10-1261-2017, 2017.

Thum, T., Zaehle, S., Köhler, P., Aalto, T., Aurela, M., Guanter, L., Kolari, P., Laurila, T., Lohila, A., Magnani, F., Van Der Tol, C., and Markkanen, T., 2017. Modelling sun-induced fluorescence and photosynthesis with a land surface model at local and regional scales in northern Europe, Biogeosciences, 14, 1969-1987, doi:10.5194/bg-14-1969-2017.

Ruosteenoja, K., Markkanen, T., Venäläinen, A., Räisänen, P. and Peltola, H., 2017. Seasonal soil moisture and drought occurrence in Europe in CMIP5 projections for the 21st century, Climate Dynamics, doi:10.1007/s00382-017-3671-4.

Thum, T., MacBean, N., Peylin, P., Bacour, C., Santaren, D., Longdoz, B., Loustau, D., and Ciais, P., 2017. The potential benefit of using forest biomass data in addition to carbon and water flux measurements to constrain ecosystem model parameters: case studies at two temperate forest sites. Agricultural and Forest Meteorology 234, 48-65.

2016

Gao Y., Markkanen T., Thum T., Aurela M., Lohila A., Mammarella I., Hagemann S., Aalto T. Assessing various drought indicators in representing drought in boreal forests in Finland. Hydrol. Earth Syst. Sci. 20, 175–191, 2016.

Linkosalmi M., M. Aurela, J.-P. Tuovinen, M. Peltoniemi, C. M. Tanis, A. N. Arslan, P. Kolari, T. Aalto, J. Rainne, and T. Laurila. Digital photography for assessing vegetation phenology in two contrasting northern ecosystems. Geosci. Instrum. Method. Data Syst., 5, 417–426, 2016, doi:10.5194/gi-5-417-2016

Böttcher K., T. Markkanen, T. Thum, T. Aalto, M. Aurela, C. H. Reick, P. Kolari, A. N. Arslan, and Jouni Pulliainen. Evaluating Biosphere Model Estimates of the Start of the Vegetation Active Season in Boreal Forests by Satellite Observations. Remote Sens. 2016, 8(7), 580; doi:10.3390/rs8070580

Mäkelä, J., Susiluoto, J., Markkanen, T., Aurela, M., Järvinen, H., Mammarella, I., Hagemann, S., and Aalto, T., 2016. Constraining ecosystem model with adaptive Metropolis algorithm using boreal forest site eddy covariance measurements, Nonlin. Processes Geophys., 23, 447-465, doi:10.5194/npg-23-447-2016.

Eyring, V., Righi, M., Lauer, A., Evaldsson, M., Wenzel, S., Jones, C., Anav, A., Andrews, O., Cionni, I., Davin, E. L., Deser, C., Ehbrecht, C., Friedlingstein, P., Gleckler, P., Gottschaldt, K.-D., Hagemann, S., Juckes, M., Kindermann, S., Krasting, J., Kunert, D., Levine, R., Loew, A., Mäkelä, J., Martin, G., Mason, E., Phillips, A., S., Read, S., Rio, C., Roehrig, R., Senftleben, D., Sterl, A., van Ulft, L. H., Walton, J., Wang, S., and Williams, K. D., 2016. ESMValTool (v1.0) – a community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP, Geosci. Model Dev., 9, 1747-1802, doi:10.5194/gmd-9-1747-2016.

Lohila A., Aalto T., Tuovinen J-P., Laurila T., Aurela M., Kilkki J., Hatakka J., Penttilä T.P., Vuorenmaa J., Sutinen R., Hänninen P. & Viisanen Y., 2016. Large contribution of boreal upland forest soils to a catchment-scale CH4 balance in a wet year. Geophys. Res. Lett., 43, doi:10.1002/2016GL067718.

Thölix, L., Backman, L., Kivi, R. and Karpechko, A., 2016. Variability of water vapour in the Arctic stratosphere, Atmos. Chem. Phys., 16, 4307-4321, doi:10.5194/acp-16-4307-2016.

Walther, S., Voigt, M., Thum, T., Gonsamo, A., Zhang, Y., Koehler, P., Jung, M., Varlagin, A., and Guanter, L., 2016. Satellite chlorophyll fluorescence measurements reveal large-scale decoupling of photosynthesis and greenness dynamics in boreal evergreen forests. Global Change Biology, doi:10.1111/gcb.13200.

2015

Aalto T., Hatakka J., Kouznetsov R. & Stanislawska K. 2015: Background and anthropogenic influences on atmospheric CO2 concentrations measured at Pallas: Comparison of two models for tracing air mass history. Boreal Env. Res. 20: 213–226

Aalto T., Peltoniemi M., Aurela M., Böttcher K., Gao Y., Härkönen S., Härmä P., Kilkki J., Kolari P., Laurila T., Lehtonen A., Manninen T., Markkanen T., Mattila O.-P., Metsämäki S., Muukkonen P., Mäkelä A., Pulliainen J., Susiluoto J., Takala M., Thum T., Ťupek B., Törmä M. & Arslan A.N. 2015: Preface to the special issue on Monitoring and Modelling of Carbon-Balance-, Water- and Snow-Related Phenomena at Northern Latitudes. Boreal Env. Res. 20: 145–150, 2015.

Bergamaschi P., M. Corazza, U. Karstens, M. Athanassiadou, R. Thompson, I. Pison, A.J. Manning, P. Bousquet, A. Segers, A. Vermeulen, G. Janssens-Maenhout, M. Schmidt, M. Ramonet, F. Meinhardt, T. Aalto, L. Haszpra, J. Moncrieff, E. Popa, E.G Nisbet, R.E. Fisher, M. Steinbacher, A. Jordan, S. O'Doherty, S. Piacentino, and E. Dlugokencky. Top-down estimates of European CH4 and N2O emissions based on four different inverse models. Atmos. Chem. Phys. 15, 715-736, 2015

Gao Y., Weiher S., Markkanen T., Pietikäinen J.-P., Gregow H., Henttonen H.M., Jacob D. & Laaksonen A. 2015: Implementation of the CORINE land use classification in the regional climate model REMO. Boreal Env. Res. 20: 261–282.

Goll, D. S., Brovkin, V., Liski, J., Raddatz, T., Thum, T., and Todd-Brown, K. E. O., 2015. Strong dependence of CO2 emissions from anthropogenic land cover change on initial land cover and soil carbon parametrization. Global Biogeochemical Cycles, 29, 1511–1523, doi:10.1002/2014GB004988.

Kilkki J., Aalto T, Hatakka J, Portin H, Laurila T. Atmospheric CO2 observations at Finnish urban and rural sites. Boreal Env. Res. 20: 227–242, 2015.

Lohila A, Penttilä T., Jortikka S., Aalto T., Anttila P., Asmi E., Aurela M., Hatakka J., Hellén H., Henttonen H., Hänninen P., Kilkki J., Kyllönen K., Laurila T., Lepistö A., Lihavainen H., Makkonen U., Paatero J., Rask M., Sutinen R., Tuovinen J.-P., Vuorenmaa J. & Viisanen Y. Preface to the special issue on integrated research of atmosphere, ecosystems and environment at Pallas. Boreal Env. Res. 20: 431–454, 2015.

Olsson, T., Jakkila, J., Veijalainen, N., Backman, L., Kaurola, J., Vehviläinen, B., 2015. Impacts of climate change on temperature, precipitation and hydrology in Finland – studies using bias corrected Regional Climate Model data. Hydrol. Earth Syst. Sci., 19, 3217–3238, doi:10.5194/hess-19-3217-2015.

Peltoniemi M., Markkanen T., Härkönen S., Muukkonen P., Thum T., Aalto T. & Mäkelä A. 2015: Consistent estimates of gross primary production of Finnish forests — comparison of estimates of two process models. Boreal Env. Res. 20: 196–212.

Tsuruta A, Aalto T, Backman L, Peters W, Krol M, van der Laan-Luijkx IT, Hatakka J, Heikkinen P, Dlugokencky EJ, Spahni R, Reshetnikov AI. Evaluating atmospheric methane inversion model results at Pallas, Northern Finland, Boreal Environment Research, 20:506–525, 2015.

Törmä M., Markkanen T., Hatunen S., Härmä P., Mattila O.-P. & Arslan A.N. 2015: Assessment of land-cover data for land-surface modelling in regional climate studies. Boreal Env. Res. 20: 243–260.

2014

Böttcher K., M. Aurela, M. Kervinen, T. Markkanen, O-P. Mattila, P. Kolari, S. Metsämäki, T. Aalto, A. Arslan and J. Pulliainen, 2014. MODIS time-series-derived indicators for the beginning of the growing season in boreal coniferous forest - A comparison with CO2 flux measurements and phenological observations in Finland, Remote Sensing of Environment 140, 625-638.

Gao, Y., Markkanen, T., Backman, L., Henttonen, H. M., Pietikäinen, J.-P., Mäkelä, H. M., and Laaksonen, A., Biogeophysical impacts of peatland forestation on regional climate changes in Finland, Biogeosciences, 11, 7251–7267, 2014. doi:10.5194/bg-11-7251-2014.

Henriksson, S. V., Pietikäinen, J.-P., Hyvärinen, A.-P., Räisänen, P., Kupiainen, K., Tonttila, J., Hooda, R., Lihavainen, H., O'Donnell, D., Backman, L., Klimont, Z., and Laaksonen, A., Spatial distributions and seasonal cycles of aerosol climate effects in India seen in a global climate-aerosol model, Atmos. Chem. Phys., 14, 10177–10192, 2014.

Keronen P., Reissell A., Chevallier F., Siivola E., Pohja T., Hiltunen V., Hatakka J., Aalto T., Rivier L., Ciais P., Jordan A., Hari P., Viisanen Y. and Vesala T. Measurements of CO2 mole fraction in the atmospheric surface layer by an affordable instrumentation. Boreal Env. Res. 19 (suppl. B): 35–54, 2014.

Kulmala, M., Lappalainen, H. K., Bäck, J., Laaksonen, A., Nikinmaa, E., Riekkola, M.-L., Vesala, T., Viisanen, Y., Aalto, T., Boy, M., Dal Maso, M., Ehn, M., Hakola, H., Hari, P., Hartonen, K., Hämeri, K., Hölttä, T., Junninen, H., Järvi, L., Kurten, T., Lauri, A., Laurila, T., Lehtipalo, K., Lihavainen, H., Lintunen, A., Mammarella, I., Manninen, H. E., Petäjä, T., Pihlatie, M., Pumpanen, J., Rinne, J., Romakkaniemi, S., Ruuskanen, T., Sipilä, M., Sorvari, S., Vehkamäki, H., Virtanen, A., Worsnop, D. R. & Kerminen, V.-M. 2014: Finnish Centre of Excellence in Physics, Chemistry, Biology and Meteorology of Atmospheric Composition and Climate Change: summary and outlook. Boreal Env. Res. 19 (suppl. B): 2–19, 2014.

Kyllönen K., Paatero J., Aalto T., Hakola H. Nationwide survey of airborne mercury in Finland. Boreal Env. Res. 19 (suppl. B): 355–367, 2014.

Meinander, O., Kontu, A., Virkkula, A., Arola, A., Backman, L., Dagsson-Waldhauserová, P., Järvinen, O., Manninen, T., Svensson, J., de Leeuw, G., and Leppäranta, M., Brief communication: Light-absorbing impurities can reduce the density of melting snow, The Cryosphere, 8, 991–995, 2014. doi:10.5194/tc-8-991-2014.

Sepúlveda, E., M. Schneider, F. Hase, S. Barthlott, D. Dubravica, O.E. García, A. Gomez-Pelaez, Y. González, J.C. Guerra, M. Gisi, R. Kohlhepp, S. Dohe, T. Blumenstock, K. Strong, D. Weaver, M. Palm, A. Sadeghi, N. M. Deutscher, T. Warneke, J. Notholt, N. Jones, D. W. T. Griffith, D. Smale, G. W, Brailsford, J. Robinson, F. Meinhardt, M. Steinbacher, T. Aalto and D. Worthy. Tropospheric CH4 signals as observed by NDACC FTIR at globally distributed sites and comparison to GAW surface in-situ measurements. Atmos. Meas. Tech., 7, 2337-2360, 2014.

Thompson, R. L., K. Ishijima, E. Saikawa, M. Corazza, U. Karstens, P. K. Patra, P. Bergamaschi, F. Chevallier, E. Dlugokencky, R. G. Prinn, R. F. Weiss, S. O'Doherty, P. Krummel, L. P. Steele, P. Fraser, A. Vermeulen, Y. Tohjima, A. Jordan, L. Haszpra, M. Steinbacher, S. Van der Laan, T. Aalto, F. Meinhardt, M. E. Popa, J. Moncrieff, and P. Bousquet. TransCom N2O model inter-comparison Part II: Atmospheric inversion estimates of N2O emissions. Atmos. Chem. Phys., 14, 6177 – 6194, 2014. doi:10.5194/acp-14-6177-2014.

Weaver, C., C. Kiemle, S. R. Kawa, T. Aalto, J. Necki, M. Steinbacher, J. Arduini, F. Apadula, H. Berkhout and J. Hatakka, 2014. Retrieval of methane source strengths in Europe using a simple modeling approach to assess the potential of spaceborne lidar observations, Atmos. Chem. Phys., 14, 2625-2637. doi:10.5194/acp-14-2625-2014.

2013

Karpechko, Yu. A., Backman, L., Thölix, L., Ialongo, I., Andersson, M., Fioletov, V., Heikkilä, A., Johnsen, B., Koskela, T., Kyrölä, E., Lakkala, K., Myhre, C. L., Rex, M., Sofieva, V. F., Tamminen, J., Wohltmann I. (2013), The link between springtime total ozone and summer UV radiation in Northern Hemisphere extratropics, J. Geophys. Res. Atmos., 118, 8649–8661, doi:10.1002/jgrd.50601.

2012

Rinne J, Markkanen T, Ruuskanen T.M, Petäjä T, Tang M.J, Crowley J.N, Rannik U, Vesala T Effect of chemical degradation on fluxes of reactive compounds - a study with a stochastic Lagrangian transport model, Atmospheric Chemistry and Physics, Vol. 12 p. 4843-4854. doi: 10.5194/acp-12-4843-2012, 2012.

Sofieva, V. F., Kalakoski, N., Verronen, P. T., Päivärinta, S.-M., Kyrölä, E., Backman, L., and Tamminen, J.: Polar-night O3, NO2 and NO3 distributions during sudden stratospheric warmings in 2003–2008 as seen by GOMOS/Envisat, Atmos. Chem. Phys., 12, 1051-1066, doi:10.5194/acp-12-1051-2012, 2012.

Sriskantharajah, S., R.E. Fisher, D. Lowry, T. Aalto, J. Hatakka, M. Aurela, T. Laurila, A. Lohila, E. Kuitunen, and E.G. Nisbet. Stable Carbon Isotope Signatures of Methane from a Finnish Subarctic Wetland: Seasonality and Source Input to Polar Methane. Tellus B, 64, 18818, http://dx.doi.org/10.3402/tellusb.v64i0.18818, 2012.

2011

Corazza M., Bergamaschi P., Vermeulen A.T., Aalto T., Haszpra L., Meinhardt F., O'Doherty S., Thompson R., Moncrieff J., Popa E., Steinbacher M., Jordan A., Dlugokencky E., Brühl C., Krol M., Dentener F., 2011. Inverse modelling of European N2O emissions: assimilating observations from different networks. Atmospheric Chemistry and Physics 11, 2381-2398.

Thum T., Räisänen P., Sevanto S., Tuomi M., Reick C., Vesala T., Raddatz T., Aalto T., Järvinen H., Altimir N., Pilegaard K., Zoltan N., Rambal S., Liski J., 2011. Soil carbon model alternatives for ECHAM5/JSBACH climate model: evaluation and impacts on global carbon cycle estimates. Journal of Geophysical Research 116, G02028, doi:10.1029/2010JG001612.

Yver C.E., Pison I.C., Fortems-Cheiney A., Schmidt M., Chevallier F., Ramonet M., Jordan A., Søvde O.A., Engel A., Fisher R.E., Lowry D., Nisbet E.G., Levin I., Hammer S., Necki J., Bartyzel J., Reimann S., Vollmer M.K., Steinbacher M., Aalto T., Maione M., Arduini J., O'Doherty S., Grant A., Sturges W.T., Forster G.L., Lunder C.R., Privalov V., Paramonova N., Werner A., Bousquet P., 2011. A new estimation of the recent tropospheric molecular hydrogen budget using atmospheric observations and variational inversion. Atmospheric Chemistry and Physics 11, 3375-3392.  

2010

Chevallier F., Ciais P., Conway T.J., Aalto T., Anderson B.E., Bousquet P., Brunke E.G., Ciattaglia L., Esaki Y., Frohlich M., Gomez A., Gomez-Palaez A.J., Haszpra L., Krummel P.B., Langenfelds R., Leuenberger M., Machida T., Maignan F., Matsueda H., Morgui J.A., Mukai H., Nakazawa T., Peylin P., Ramonet M., Rivier L., Sawa Y., Schmidt M., Steele P., Vay S.A., Vermeulen A.T., Wofsy S.C., Worthy D., 2010. CO2 surface fluxes at grid point scale estimated from a global 21 year reanalysis of atmospheric measurements, Journal of Geophysical Research 115, D21307, doi:10.1029/2010JD013887.

Mammarella I., Werle P., Pihlatie M., Eugster W., Haapanala S., Kiese R., Markkanen T., Rannik Ü., Vesala T., 2010. A case study of eddy covariance flux of N2O measured within forest ecosystems: Quality control and flux error analysis. Biogeosciences 7, 427-440.

Markkanen T., Steinfeld G., Kljun N., Raasch S., Foken T., 2010. A numerical case study on footprint model performance under inhomogeneous flow conditions. Meteorologische Zeitschrift 19, 539-547.

Peters W., Krol M.C., van der Werf G.R., Houweling S., Jones C.D., Hughes J., Schaefer K., Masarie K.A., Jacobson A.R., Miller J.B., Cho C.H, Ramonet M., Schmidt M., Ciattaglia L., Apadula F., Heltai D., Meinhardt F., di Sarra A.G., Piacentino S., Sferlazzo D., Aalto T., Hatakka J., Ström J., Haszpra L., Meijer H.A.J., van der Laan S., Neubert R.E.M., Jordan A., Rodó X., Morgui J.-A., Vermeulen A.T., Rozanski K., Zimnoch M., Manning A.C., Leuenberger M., Uglietti C., Dolman A.J., Ciais P., Heimann M., Tans P.P., 2010. Seven years of recent European net terrestrial carbon dioxide exchange constrained by atmospheric observations. Global Change Biology 16, 1317-1337.

Ramonet M., Ciais P., Aalto T., Aulagnier C., Chevallier F., Cipriano D., Conway T.J., Haszpra L., Kazan V., Meinhardt F., Paris J.-D., Schmidt M., Simmonds P., Xueref-Rémy I., Zimnoch M., 2010. A recent build-up of atmospheric CO2 over Europe. Part 1 : Observed signals and possible explanations. Tellus 62B, 1-13.

Theses

Mäkelä, J., PhD, 2020, Bayesian methods applied for ecosystem model calibration and uncertainty source estimation. Finnish Meteorological Institute Contributions 160, Finnish Meteorological Institute, Helsinki, Finland.

Susiluoto, J., PhD, 2019, Applications of Bayesian computational statistics and modeling to large-scale geoscientific problems. Finnish Meteorological Institute Contributions 154, Finnish Meteorological Institute, Helsinki, Finland.

Tsuruta, A., PhD, 2017, Application of the ensemble Kalman filter in the estimation of global methane balance. Finnish Meteorological Institute Contributions 141, Finnish Meteorological Institute, Helsinki, Finland.

Gao, Y., PhD, 2016, Interactions between land surface, forests and climate: regional modelling studies in the boreal zone. Finnish Meteorological Institute Contributions 124, Finnish Meteorological Institute, Helsinki, Finland.

Thum, T., PhD, 2009, Modelling boreal forest CO2 exchange and seasonality. Finnish Meteorological Institute Contributions 81, Finnish Meteorological Institute, Helsinki, Finland.