Professor Natascha Kljun

Research Highlights

1. Kim, J., Hwang, T., Schaaf, C., Kljun, N., & Munger, J. (2018). Seasonal variation of source contributions to eddy-covariance CO 2 measurements in a mixed hardwood-conifer forest. Agricultural and Forest Meteorology, 253-254, 71-83.

   https://doi.org/10.1016/j.agrformet.2018.02.004, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa38880
2. Stöckl, S., Rotach, M., & Kljun, N. (2018). Comment on: “Corrections to the Mathematical Formulation of a Backwards Lagrangian Particle Dispersion Model” by Gibson and Sailor (2012: Boundary-Layer Meteorology 145, 399–406). Boundary-Layer Meteorology, 166(1), 153-160.

   https://doi.org/10.1007/s10546-017-0297-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa36262
3. Beringer, J., McHugh, I., Hutley, L., Isaac, P., & Kljun, N. (2017). Technical note: Dynamic INtegrated Gap-filling and partitioning for OzFlux (DINGO). Biogeosciences, 14(6), 1457-1460.

   https://doi.org/10.5194/bg-14-1457-2017, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32699

   http://www.biogeosciences.net/14/1457/2017/
4. Mahoney, C., Hopkinson, C., Kljun, N., & van Gorsel, E. (2017). Estimating Canopy Gap Fraction Using ICESat GLAS within Australian Forest Ecosystems. Remote Sensing, 9(1), 59

   https://doi.org/10.3390/rs9010059, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31620
5. Andersson, A., Falck, E., Sjöblom, A., Kljun, N., Sahlée, E., Omar, A., Rutgersson, A., & Kljun, N. (2017). Air-sea gas transfer in high Arctic fjords. Geophysical Research Letters

   https://doi.org/10.1002/2016GL072373, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31828
6. Helbig, M., Chasmer, L., Desai, A., Kljun, N., Quinton, W., & Sonnentag, O. (2017). Direct and indirect climate change effects on carbon dioxide fluxes in a thawing boreal forest-wetland landscape. Global Change Biology, 23(8), 3231-3248.

   https://doi.org/10.1111/gcb.13638, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31829
7. Sutherland, G., Chasmer, L., Kljun, N., Devito, K., & Petrone, R. (2017). Using High Resolution LiDAR Data and a Flux Footprint Parameterization to Scale Evapotranspiration Estimates to Lower Pixel Resolutions. Canadian Journal of Remote Sensing, 43, 215-229.

   https://doi.org/10.1080/07038992.2017.1291338, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31494
8. Helbig, M., Chasmer, L., Kljun, N., Quinton, W., Treat, C., & Sonnentag, O. (2017). The positive net radiative greenhouse gas forcing of increasing methane emissions from a thawing boreal forest-wetland landscape. Global Change Biology, 23(6), 2413-2427.

   https://doi.org/10.1111/gcb.13520, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30912
9. Bye, I., North, P., Los, S., Kljun, N., Rosette, J., Hopkinson, C., Chasmer, L., & Mahoney, C. (2017). Estimating forest canopy parameters from satellite waveform LiDAR by inversion of the FLIGHT three-dimensional radiative transfer model. Remote Sensing of Environment, 188, 177-189.

   https://doi.org/10.1016/j.rse.2016.10.048, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31335
10. van Gorsel, E., Wolf, S., Isaac, P., Cleverly, J., Haverd, V., Ewenz, C., Arndt, S., Beringer, J., Resco de Dios, V., Evans, B., Griebel, A., Hutley, L., Keenan, T., Kljun, N., Macfarlane, C., Meyer, W., McHugh, I., Pendall, E., Prober, S., & Silberstein, R. (2016). Carbon uptake and water use in woodlands and forests in southern Australia during an extreme heat wave event in the ‘Angry Summer’ of 2012/2013. Biogeosciences Discussions, 1-31.

    https://doi.org/10.5194/bg-2016-183, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa28705
11. Mahoney, C., Hopkinson, C., Held, A., Kljun, N., & Van Gorsel, E. (2016). ICESat/GLAS Canopy Height Sensitivity Inferred from Airborne Lidar. Photogrammetric Engineering & Remote Sensing, 82(5), 351-363.

    https://doi.org/10.14358/PERS.82.5.351, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31337
12. Cleverly, J., Eamus, D., Luo, Q., Coupe, N., Kljun, N., Ma, X., Ewenz, C., Li, L., Yu, Q., & Huete, A. (2016). The importance of interacting climate modes on Australia’s contribution to global carbon cycle extremes. Scientific Reports, 6(1), 23113

    https://doi.org/10.1038/srep23113, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26761
13. Cleverly, J., Eamus, D., Van Gorsel, E., Chen, C., Rumman, R., Luo, Q., Coupe, N., Li, L., Kljun, N., Faux, R., Yu, Q., & Huete, A. (2016). Productivity and evapotranspiration of two contrasting semiarid ecosystems following the 2011 global carbon land sink anomaly. Agricultural and Forest Meteorology, 220, 151-159.

    https://doi.org/10.1016/j.agrformet.2016.01.086, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26018
14. van Gorsel, E., Wolf, S., Cleverly, J., Isaac, P., Haverd, V., Ewenz, C., Arndt, S., Beringer, J., Resco de Dios, V., Evans, B., Griebel, A., Hutley, L., Keenan, T., Kljun, N., Macfarlane, C., Meyer, W., McHugh, I., Pendall, E., Prober, S., & Silberstein, R. (2016). Carbon uptake and water use in woodlands and forests in southernAustralia during an extreme heat wave event in the “Angry Summer” of2012/2013. Biogeosciences, 13(21), 5947-5964.

    https://doi.org/10.5194/bg-13-5947-2016, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30911
15. Podgrajsek, E., Sahlée, E., Bastviken, D., Natchimuthu, S., Kljun, N., Chmiel, H., Klemedtsson, L., Rutgersson, A., & Kljun, N. (2016). Methane fluxes from a small boreal lake measured with the eddy covariance method. Limnology and Oceanography, 61(S1), S41-S50.

    https://doi.org/10.1002/lno.10245, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31173
16. Hopkinson, C., Chasmer, L., Barr, A., Kljun, N., Black, T., & McCaughey, J. (2016). Monitoring boreal forest biomass and carbon storage change by integrating airborne laser scanning, biometry and eddy covariance data. Remote Sensing of Environment, 181, 82-95.

    https://doi.org/10.1016/j.rse.2016.04.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa27243
17. Soudant, A., Loader, N., Bäck, J., Levula, J., & Kljun, N. (2016). Intra-annual variability of wood formation and δ13C in tree-rings at Hyytiälä, Finland. Agricultural and Forest Meteorology, 224, 17-29.

    https://doi.org/10.1016/j.agrformet.2016.04.015, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa27405
18. Helbig, M., Wischnewski, K., Kljun, N., Chasmer, L., Quinton, W., Detto, M., & Sonnentag, O. (2016). Regional atmospheric cooling and wetting effect of permafrost thaw-induced boreal forest loss. Global Change Biology, 22(12), 4048-4066.

    https://doi.org/10.1111/gcb.13348, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa27695
19. Ran, Y., Li, X., Sun, R., Kljun, N., Zhang, L., Wang, X., & Zhu, G. (2016). Spatial representativeness and uncertainty of eddy covariance carbon flux measurements for upscaling net ecosystem productivity to the grid scale. Agricultural and Forest Meteorology, 230-231, 114-127.

    https://doi.org/10.1016/j.agrformet.2016.05.008, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa27775
20. Kljun, N., Calanca, P., Rotach, M., & Schmid, H. (2015). A simple two-dimensional parameterisation for Flux Footprint Prediction (FFP). Geoscientific Model Development, 8(11), 3695-3713.

    https://doi.org/10.5194/gmd-8-3695-2015, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24473
21. Sundqvist, E., Persson, A., Kljun, N., Vestin, P., Chasmer, L., Hopkinson, C., Lindroth, A., & Kljun, N. (2015). Upscaling of methane exchange in a boreal forest using soil chamber measurements and high-resolution LiDAR elevation data. Agricultural and Forest Meteorology, 214-215, 393-401.

    https://doi.org/10.1016/j.agrformet.2015.09.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23374
22. Sundqvist, E., Molder, M., Crill, P., Kljun, N., & Lindroth, A. (2015). Methane exchange in a boreal forest estimated by gradient method. Tellus B, 67(26688)

    https://doi.org/10.3402/tellusb.v67.26688, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22266

    http://www.tellusb.net/index.php/tellusb/article/view/26688
23. Pierce, A., Moore, C., Wohlfahrt, G., Hörtnagl, L., Kljun, N., & Obrist, D. (2015). Eddy Covariance Flux Measurements of Gaseous Elemental Mercury Using Cavity Ring-Down Spectroscopy. Environmental Science & Technology, 49(3), 1559-1568.

    https://doi.org/10.1021/es505080z, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20036
24. Petrone, R., Chasmer, L., Hopkinson, C., Silins, U., Landhäusser, S., Kljun, N., Devito, K., & Kljun, N. (2015). Effects of harvesting and drought on CO2and H2O fluxes in an aspen-dominated western boreal plain forest: early chronosequence recovery. Canadian Journal of Forest Research, 45(1), 87-100.

    https://doi.org/10.1139/cjfr-2014-0253, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20187
25. Kljun, N., Calanca, P., Rotach, M., & Schmid, H. (2015). Simple Two-dimensional Parameterisation for Flux Footprint Predictions. In EGU General Assembly 2015

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24374
26. Durden, D., Metzger, S., Zulueta, R., Pingintha-Durden, N., Xu, K., Kljun, N., & Taylor, J. (2014). Wavelet Analysis - A Building Block for NEON’s Ecosystem Exchange Data Products. In American Geophysical Union (AGU) Fall ConferenceAmerican Geophysical Union (AGU) Fall Conference.

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24370

    http://adsabs.harvard.edu/abs/2014AGUFM.B53A0154D
27. Mahoney, C., Kljun, N., Los, S., Chasmer, L., Hacker, J., Hopkinson, C., North, P., Rosette, J., & van Gorsel, E. (2014). Slope Estimation from ICESat/GLAS. Remote Sensing, 6(10), 10051-10069.

    https://doi.org/10.3390/rs61010051, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18770

    http://www.mdpi.com/2072-4292/6/10/10051
28. Shendryk, I., Hellström, M., Klemedtsson, L., & Kljun, N. (2014). Low-density LiDAR and optical imagery for biomass estimation over boreal forest in Sweden. Forests, 5, 992-1010.

    https://doi.org/10.3390/f5050992, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa17952
29. Sutherland, G., Chasmer, L., Petrone, R., Kljun, N., Devito, K., & Kljun, N. (2014). Evaluating the use of spatially varying versus bulk average 3D vegetation structural inputs to modelled evapotranspiration within heterogeneous land cover types. Ecohydrology, 7(6), 1545-1559.

    https://doi.org/10.1002/eco.1477, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa17894
30. Helbig, M., Detto, M., Wischnewski, K., Chasmer, L., Quinton, W., Kljun, N., Payette, F., Higgins, K., & Sonnentag, O. (2014). The influence of rapidly degrading discontinuous permafrost in the Northwest Territories, Canada, on atmospheric CO2 and CH4 fluxes. In EUCOP4, 4th European Conference on Permafrost

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24367
31. Xu, K., Metzger, S., Kljun, N., Taylor, J., & Desai, A. (2014). How to consistently inform NEON’s land surface model with tower-based eddy-covariance flux observations? A novel approach to spatio-temporal rectification. In 99th ESA Annual Meeting

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24368

    https://eco.confex.com/eco/2014/webprogram/Paper45593.html
32. Sonnentag, O., Helbig, M., Hanisch, J., Baltzer, J., Chasmer, L., Detto, M., Kljun, N., Marsh, P., Payette, F., Quinton, W., & Wischnewski, K. (2014). The Taiga Plains Research Network: observing net carbon, water and heat exchanges across a latitudinal permafrost gradient in northwestern Canada for improved understanding of high-latitude ecosystem responses to climate change. In Arctic Change 2014

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24369

    http://www.atmosbios.com/fr/people/fannypayette/presentations-fp/
33. Helbig, M., Wischnewski, K., Chasmer, L., Quinton, W., Kljun, N., Marsh, P., & Sonnentag, O. (2014). Monitoring carbon, water and heat fluxes in Northwestern Canada under the influence of changing land cover and permafrost conditions. In 1st ICOSInternational conference on Greenouse Gases and Biogeochemical Cycles

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24375
34. Xu, K., Metzger, S., Kljun, N., Tayler, J., & Desai, A. (2013). Improving the spatial representativeness and temporal consistency of tower-based eddy-covariance flux measurements using environmental response function. In American Geophysical Union (AGU) Fall Conference (pp. B11G-0435

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16948
35. Kljun, N., Chasmer, L., Hopkinson, C., Lindroth, A., Mahoney, C., Molder, M., & Soudant, A. (2013). LiDAR derived canopy structure and footprint modelling for interpretation of eddy-flux tower measurements at Norunda, Sweden. In Invited keynote at American Geophysical Union (AGU) Fall Conference (pp. B42C-03

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16950
36. Hopkinson, C., Chasmer, L., Kljun, N., & van_Gorsel, E. (2013). Elements of systemic sensitivity and propagated uncertainty in LiDAR-based forest attribute maps. In Invited keynote at American Geophysical Union (AGU) Fall Conference (pp. B34B-03

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16951
37. Metzger, S., Xu, K., Desai, A., Tayler, J., Kljun, N., Schneider, D., Kampe, T., & Fox, A. (2013). Spatio-temporal rectification of tower-based eddy-covariance flux measurements for consistently informing process-based models. In American Geophysical Union (AGU) Fall Conference (pp. B11G-0437

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16952
38. Eklundh, L. & Kljun, N. (2013). Remote sensing and ICOS data for regional scale carbon modeling. In ICOS Sweden Autumn meeting

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16949
39. Hopkinson, C., Lovell, J., Chasmer, L., Jupp, D., Kljun, N., & van Gorsel, E. (2013). Integrating terrestrial and airborne lidar to calibrate a 3D canopy model of effective leaf area index. Remote Sensing of Environment, 136, 301-314.

    https://doi.org/10.1016/j.rse.2013.05.012, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15081

    http://www.sciencedirect.com/science/article/pii/S003442571300165X
40. Gelybó, G., Barcza, Z., Kern, A., Kljun, N., & Kljun, N. (2013). Effect of spatial heterogeneity on the validation of remote sensing based GPP estimations. Agricultural and Forest Meteorology, 174-175, 43-53.

    https://doi.org/10.1016/j.agrformet.2013.02.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa990

    http://www.sciencedirect.com/science/article/pii/S0168192313000282
41. van Gorsel, E., Berni, J., Briggs, P., Cabello-Leblic, A., Chasmer, L., Cleugh, H., Hacker, J., Hantson, S., Haverd, V., Hughes, D., Hopkinson, C., Keith, H., Kljun, N., Leuning, R., Yebra, M., Zegelin, S., & Kljun, N. (2013). Primary and secondary effects of climate variability on net ecosystem carbon exchange in an evergreen Eucalyptus forest. Agricultural and Forest Meteorology, 182-183, 248-256.

    https://doi.org/10.1016/j.agrformet.2013.04.027, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14514
42. Kljun, N., Gelybo, G., Barcza, Z., & Kern, A. (2013). Effect of spatial heterogeneity on remotely sensed GPP. In EGU General Assembly 2013

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14515
43. Mahoney, C., Kljun, N., Los, S., North, P., Barr, A., Bernhofer, C., Black, T., Chasmer, L., Van Gorsel, E., Hacker, J., Hopkinson, C., Lindroth, A., McCaughey, J., Moors, E., J.A.B., R., & Kljun, N. (2013). Predicting Slope from FullWaveform LiDAR. In EGU General Assembly 2013

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14516
44. Rannik, Ü., Sogachev, A., Foken, T., Gockede, M., Kljun, N., Leclerc, M., & Vesala, T. (2012). Footprint Analysis. Eddy covariance : A Practical Guide to Measurement and Data Analysis (pp. 449-.). Springer Atmospheric Sciences

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8410
45. Chasmer, L., Kljun, N., Hopkinson, C., Brown, S., Milne, T., Giroux, K., Barr, A., Devito, K., Creed, I., Petrone, R., & Kljun, N. (2011). Characterizing vegetation structural and topographic characteristics sampled by eddy covariance within two mature aspen stands using LiDAR and a flux footprint model: Scaling to MODIS. Journal of Geophysical Research - Biogeosciences, 116-G02026.

    https://doi.org/10.1029/2010JG001567, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa991

    http://onlinelibrary.wiley.com/doi/10.1029/2010JG001567/abstract
46. Farkas, C., Alberti, G., Balogh, J., Barcza, Z., Birkás, M., Czóbel, S., Davis,, K., Führer, E., Gelybó, G., Grosz, B., Kljun, N., Koós, S., Machon, A., Marjanović, H., Nagy, Z., Peressotti, A., Pintér, K., Tóth, E., & Horváth, L. (2011). Measurements and Estimations of Biosphere – Atmosphere Exchange of Greenhouse Gases - Methodologies. Atmospheric Greenhouse Gases: The Hungarian Perspective (pp. 393-.). Springer

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8239
47. Hiller, R., McFadden, J., & Kljun, N. (2011). Interpreting CO2 Fluxes Over a Suburban Lawn: The Influence of Traffic Emissions. Boundary-Layer Meteorology, 138(2), 215-230.

    https://doi.org/10.1007/s10546-010-9558-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12593
48. Chasmer, L., Kljun, N., Hopkinson, C., Brown, S., Milne, T., Giroux, K., A.G., B., Devito, K., Creed, I., Petrone, R., & Kljun, N. (2011). Using a flux footprint model and airborne LiDAR to characterize vegetation structure and topography frequently sampled by Eddy Covariance: Implications for MODIS product validation. In SilviLaser, 11th International Conference on LidAR Applications for assessing Forest Ecosystems

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12594
49. Morrison, H., Hopkinson, C., Chasmer, L., Kljun, N., & Kljun, N. (2011). Generating an automated approach to optimize effective leaf area index by Canadian boreal forest species using airborne LiDAR. In SilviLaser, 11th International Conference on LidAR Applications for assessing Forest Ecosystems

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12595
50. Berni, J., Kljun, N., Van Gorsel, E., Haverd, V., Leuning, R., Cabello-Leblic, A., Held, A., Hopkinson, C., Chasmer, L., Youngntob, K., & Kljun, N. (2011). 3D Spatial Distribution of Biophysical Parameters Derived From Hyperspectral and LiDAR Remote Sensing Improving the Constraints in Land Surface Modelling. In 34th International Symposium on Remote Sensing of Environment (ISRSE)

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12596

    http://www.isprs.org/proceedings/2011/ISRSE-34/211104015Final00382.pdf
51. Van Gorsel, E., Kljun, N., Leuning, R., Berni, J., Cabello-Leblic, A., Held, A., Haverd, V., Hopkinson, C., Chasmer, L., Youngentob, K., & Kljun, N. (2011). Use of High Resolution Lidar and Hyperspectral Data to Evaluate the Sensitivity of Net Ecosystem Exchange to Stand Structural and Plant Chemical Properties. In 34th International Symposium on Remote Sensing of Environment (ISRSE), Sydney, Australia, 10-15 April 2011

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12597

    http://www.isprs.org/proceedings/2011/isrse-34/211104015Final00381.pdf
52. Lehner, I., Peter, I., Kljun, N., & Kljun, N. (2011). Footprint Under Low Wind Conditions. In EGU General Assembly 2011, Vienna, Austria, 4-8 April 2011

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12598
53. Grosz, B., Gelybó, G., Churkina, G., Haszpra, L., Hidy, D., Horváth, L., Kern, A., Kljun, N., Machon, A., Pásztor, L., Barcza, Z., & Kljun, N. (2011). Modeling of Biosphere– Atmosphere Exchange of Greenhouse Gases - Arable Lands. Atmospheric Greenhouse Gases: The Hungarian Perspective (pp. 393-.). Springer Books

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa17544
54. Tóth, E., Barcza, Z., Birkás, M., Gelybó, G., Zsembeli, J., Bottlik, L., Davis, K., Haszpra, L., Kern, A., Kljun, N., Koós, S., Kovács, G., Stingli, A., Farkas, C., & Kljun, N. (2011). Measurements and Estimations of Biosphere – Atmosphere Exchange of Greenhouse Gases - Arable Lands. Atmospheric Greenhouse Gases: The Hungarian Perspective (pp. 393-.). Springer Books

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa17545
55. Hilker, T., Hall, F., Coops, N., Lyapustin, A., Wang, Y., Nesic, Z., Grant, N., Black, T., Wulder, M., & Kljun, N. (2010). Remote sensing of photosynthetic light-use efficiency across two forested biomes: Spatial scaling. Remote Sensing of Environment, 114(12), 2863-2874.

    https://doi.org/10.1016/j.rse.2010.07.004, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7736

    http://www.sciencedirect.com/science/article/pii/S0034425710002208
56. 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.

    https://doi.org/10.1127/0941-2948/2010/0488, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7735
57. Vesala, T., Kljun, N., Rannik, Ü., Rinne, J., Sogachev, A., Markkanen, T., Sabelfeld, K., Foken, T., & Leclerc, M. (2010). Flux and Concentration Footprint Modelling: State of the Art. Modelling of Pollutants in Complex Environmental Systems, Volume II (pp. 512-.). ILM Publications

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8238
58. Chasmer, L., Kljun, N., Hopkinson, C., Brown, S., Giroux, K., Milne, T., Barr, A., Devito, K., Petrone, R., & Kljun, N. (2010). Quantification of NEP Sampling Within Two Mature Boreal Aspen Stands Using Airborne LiDAR and a Flux Footprint Model: Scaling to MODIS. In AGU Fall Meeting, San Francisco, CA, USA, 13-17 December 2010

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12599
59. Morrison, H., Hopkinson, C., Chasmer, L., & Kljun, N. (2010). A GIS Modelling Routine to Optimize LiDAR-based Effective Leaf Area Index Values in a Boreal Forest Watershed. In Remote Sensing and Hydrology 2010 Symposium, Jackson Hole, WY, USA, 27-30 September 2010

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12600
60. Gelybo, G., Barcza, Z., Kern, A., Kljun, N., Haszpra, L., & Kljun, N. (2010). Tall Tower Based Evaluation of the MOD17 Model over Heterogeneous Agricultural Vegetation. In 19th Symposium on Boundary Layers and Turbulence, Keystone, CO, USA, 2-6 August 2010

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12601
61. Kljun, N., Gelybo, G., Barcza, Z., Kern, A., Haszpra, L., & Kljun, N. (2010). Attributing Tall Tower Flux Data to Heterogeneous Vegetation. In 19th Symposium on Boundary Layers and Turbulence, Keystone, CO, USA, 2-6 August 2010

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12602
62. Barcza, Z., Gelybo, G., Kern, A., Kljun, N., Haszpra, L., & Kljun, N. (2010). Estimation of the Carbon Balance Components of Heterogeneous Agricultural Landscape Using Tall Tower Based and Remotely Sensed Data. In 17th International TOVS Study Conferences (ITSC-17), Monterey, CA, USA, 14-21 April 2010

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12603
63. Kljun, N., Chasmer, L., Hopkinson, C., Barr, A., Black, T., McCaughey, J., & Milne, T. (2010). BERMS Sites Revisited: Footprint Climatology and 3D-LiDAR Data. In Conference on Agricultural and Forest Meteorology (pp. 6.7American Meteorological Society.

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8246
64. Barcza, Z., Kern, A., Haszpra, L., Kljun, N., & Kljun, N. (2009). Spatial representativeness of tall tower eddy covariance measurements using remote sensing and footprint analysis. Agricultural and Forest Meteorology, 149(5), 795-807.

    https://doi.org/10.1016/j.agrformet.2008.10.021, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa989

    http://www.sciencedirect.com/science/article/pii/S0168192308003109
65. Markkanen, T., Steinfeld, G., Kljun, N., Raasch, S., Foken, T., & Kljun, N. (2009). Comparison of conventional Lagrangian stochastic footprint models against LES driven footprint estimates. Atmospheric Chemistry and Physics, 9(15), 5575-5586.

    https://doi.org/10.5194/acp-9-5575-2009, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8236
66. Kljun, N., Chasmer, L., Hopkinson, C., Barr, A., Black, T., & McCaughey, J. (2009). Flux Sites Revisited: New Insights From a 3D-LiDAR Survey. In Geophysical Research Abstracts (pp. EGU2009-6345). EGU.

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8243
67. Kljun, N., Barcza, Z., Kern, A., & Haszpra, L. (2009). Spatial Representativeness of Tall Flux Tower. (pp. EGU2009-14115). Geophysical Research Abstracts.

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8244
68. Chasmer, L., Petrone, R., Brown, S., Hopkinson, C., Kljun, N., Devito, K., Mendoza, C., & Creed, I. (2009). Spatial Partitioning of CO2 Fluxes Using Airborne LiDAR: Examples from a Heterogeneous Boreal Wetland Ecosystem. In Canadian Symposium on Remote SensingCanadian Remote Sensing Society.

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8245
69. Chasmer, L., Kljun, N., A.G, B., T.A, B., Hopkinson, C., & J.H, M. (2008). Impact of vegetation structure and elevation on carbon dioxide fluxes detected by overlaying footprints onto LiDAR data. In Geophysical Research Abstracts (pp. EGU2008-A). EGU.

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8240
70. Markkanen, T., Steinfeld, G., Kljun, N., Raasch, S., & Foken, T. (2008). Footprint Model Performance under Inhomogeneous Flow Conditions. (pp. 2.628th Conference on Agricultural and Forest Meteorology,.

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8241
71. Kljun, N., Chasmer, L., Barr, A., Black, T., Hopkinson, C., McCaughey, J., Rotach, M., Rotach, H., & Kljun, N. (2008). Footprint Application to Long-term CO2 Flux Observations. In 18th Symposium on Boundary Layers and TurbulenceAmerican Meteorological Society.

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8242
72. Vesala, T., Kljun, N., Rannik, Ü., Rinne, J., Sogachev, A., Markkanen, T., Sabelfeld, K., Foken, T., Leclerc, M., & Kljun, N. (2008). Flux and concentration footprint modelling: State of the art. Environmental Pollution, 152(3), 653-666.

    https://doi.org/10.1016/j.envpol.2007.06.070, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa988
73. Chasmer, L., Kljun, N., Barr, A., Black, A., Hopkinson, C., McCaughey, H., Treitz, P., & Kljun, N. (2008). Influences of vegetation structural and elevation on CO2 uptake in a mature jack pine forest in Saskatchewan, Canada. Canadian Journal of Forest Research, 38, 2746-2761.

    https://doi.org/10.1139/X08-121, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7734
74. Griffis, T., Zhang, J., Baker, J., Kljun, N., Billmark, K., & Kljun, N. (2007). Determining carbon isotope signatures from micrometeorological measurements: implications for studying biosphere-atmosphere exchange processes. Boundary-Layer Meteorology, 123, 295-316.

    https://doi.org/10.1007/s10546-006-9143-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2128
75. BARR, A., BLACK, T., HOGG, E., GRIFFIS, T., MORGENSTERN, K., KLJUN, N., THEEDE, A., NESIC, Z., & Kljun, N. (2006). Climatic controls on the carbon and water balances of a boreal aspen forest, 1994-2003. Global Change Biology, 13(3), 561-576.

    https://doi.org/10.1111/j.1365-2486.2006.01220.x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8399
76. Kljun, N., Black, T., Griffis, T., Barr, A., Gaumont-Guay, D., Morgenstern, K., McCaughey, J., Nesic, Z., & Kljun, N. (2007). Response of Net Ecosystem Productivity of Three Boreal Forest Stands to Drought. Ecosystems, 10(6), 1039-1055.

    https://doi.org/10.1007/s10021-007-9088-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8400
77. Chasmer, L., A.G., B., T.A., B., Hopkinson, C., Kljun, N., McCaughey, J., Treitz, P., Sashkov, A., Zha, T., & Kljun, N. (2007). Using Airborne LiDAR for the Assessment of Canopy Structure Influences on CO2 Fluxes. In ISPRS Laser Scanning 2007 and Silvilaser

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14513
78. Kljun, N., Black, T., Griffis, T., Barr, A., Gaumont-Guay, D., Morgenstern, K., McCaughey, J., Nesic, Z., & Kljun, N. (2006). Response of Net Ecosystem Productivity of Three Boreal Forest Stands to Drought. Ecosystems, 9(7), 1128-1144.

    https://doi.org/10.1007/s10021-005-0082-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8401
79. AMIRO, B., BARR, A., BLACK, T., IWASHITA, H., KLJUN, N., MCCAUGHEY, J., MORGENSTERN, K., MURAYAMA, S., NESIC, Z., ORCHANSKY, A., & Kljun, N. (2006). Carbon, energy and water fluxes at mature and disturbed forest sites, Saskatchewan, Canada. Agricultural and Forest Meteorology, 136(3-4), 237-251.

    https://doi.org/10.1016/j.agrformet.2004.11.012, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8402
80. Bernier, P., Bartlett, P., Black, T., Barr, A., Kljun, N., McCaughey, J., & Kljun, N. (2006). Drought constraints on transpiration and canopy conductance in mature aspen and jack pine stands. Agricultural and Forest Meteorology, 140(1-4), 64-78.

    https://doi.org/10.1016/j.agrformet.2006.03.019, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8403
81. Grant, R., Black, T., Gaumont-Guay, D., Klujn, N., Barr, A., Morgenstern, K., Nesic, Z., & Kljun, N. (2006). Net ecosystem productivity of boreal aspen forests under drought and climate change: Mathematical modelling with Ecosys. Agricultural and Forest Meteorology, 140(1-4), 152-170.

    https://doi.org/10.1016/j.agrformet.2006.01.012, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8404
82. PONTON, S., FLANAGAN, L., ALSTAD, K., JOHNSON, B., MORGENSTERN, K., Kljun, N., BLACK, T., & BARR, A. (2006). Comparison of ecosystem water-use efficiency among Douglas-fir forest, aspen forest and grassland using eddy covariance and carbon isotope techniques. Global Change Biology, 12(2), 294-310.

    https://doi.org/10.1111/j.1365-2486.2005.01103.x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8405
83. Griffis, T., Black, T., Gaumont-Guay, D., Drewitt, G., Nesic, Z., Barr, A., Morgenstern, K., Kljun, N., & Kljun, N. (2004). Seasonal variation and partitioning of ecosystem respiration in a southern boreal aspen forest. Agricultural and Forest Meteorology, 125(3-4), 207-223.

    https://doi.org/10.1016/j.agrformet.2004.04.006, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8406
84. Kljun, N., Kastner-Klein, P., Fedorovich, E., Rotach, M., & Kljun, N. (2004). Evaluation of Lagrangian footprint model using data from wind tunnel convective boundary layer. Agricultural and Forest Meteorology, 127(3-4), 189-201.

    https://doi.org/10.1016/j.agrformet.2004.07.013, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8407
85. Kljun, N., Calanca, P., Rotach, M., Schmid, H., & Kljun, N. (2004). A simple parameterisation for flux footprint predictions. Boundary-Layer Meteorology, 112, 503-523.

    https://doi.org/10.1023/B:BOUN.0000030653.71031.96, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2126
86. Barr, A., Black, T., Hogg, E., Kljun, N., Morgenstern, K., Nesic, Z., & Kljun, N. (2004). Inter-annual variability in the leaf area index of a boreal aspen-hazelnut forest in relation to net ecosystem production. Agricultural and Forest Meteorology, 126(3-4), 237-255.

    https://doi.org/10.1016/j.agrformet.2004.06.011, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2127
87. Kljun, N., Kormann, R., Rotach, M., & Meixner, F. (2003). Comparison of the Lagrangian Footprint Model LPDM-B with an Analytical Footprint Model. Boundary-Layer Meteorology, 106, 349-355.

    https://doi.org/10.1023/A:1021141223386, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8408
88. Kljun, N., Rotach, M., Schmid, H., & Kljun, N. (2002). A three-dimensional backward Lagrangian footprint model for a wide range of boundary-layer stratifications. Boundary-Layer Meteorology, 103, 205-226.

    https://doi.org/10.1023/A:1014556300021, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2125
89. Kljun, N. (2002). Footprint modelling in the planetary boundary layer

    https://doi.org/10.3929/ethz-a-004280768, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa17787
90. Kljun, N., Sprenger, M., Sch�r, C., & Kljun, N. (2001). Frontal modification and lee cyclogenesis in the Alps: A case study using the ALPEX reanalysis data set. Meteorology and Atmospheric Physics, 78(1-2), 89-105.

    https://doi.org/10.1007/s007030170008, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8409
91. Xu, K., Metzger, S., Kljun, N., Taylor, J., & Desai, A. (2014). Towards the spatial rectofocatopm of tower-based eddy-covariance flux measurements. In American Geophysical Union (AGU) Fall Conference

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24373
92. Los, S., Rosette, J., Kljun, N., North, P., Chasmer, L., Suárez, J., Hopkinson, C., Hill, R., Gorsel, E., Mahoney, C., Berni, J., North, P., Los, S., Rosette, J., & Kljun, N. (2012). Vegetation height and cover fraction between 60° S and 60° N from ICESat GLAS data. Geoscientific Model Development, 5, 413-432.

    https://doi.org/10.5194/gmd-5-413-2012, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa13916
93. Kelly, J., Kljun, N., Eklundh, L., Klemedtsson, L., Liljebladh, B., Olsson, P., Weslien, P., & Xie, X. (2021). Modelling and upscaling ecosystem respiration using thermal cameras and UAVs: Application to a peatland during and after a hot drought. Agricultural and Forest Meteorology, 300, 108330

    https://doi.org/10.1016/j.agrformet.2021.108330, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56138
94. Kelly, J., Ibáñez, T., Santin Nuno, C., Doerr, S., Nilsson, M., Holst, T., Lindroth, A., & Kljun, N. (2021). Boreal forest soil carbon fluxes one year after a wildfire: Effects of burn severity and management. Global Change Biology, 27(17), 4181-4195.

    https://doi.org/10.1111/gcb.15721, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57161

All Research

• Professor, Centre for Environmental and Climate Research, Lund University, Sweden

  2018 - Present

• Professor, Department of Geography, Swansea University, UK

  2016 - 2018

• Reader/Associate Professor, Department of Geography, Swansea University, UK

  2013 - 2016

• Senior lecturer, Department of Geography, Swansea University, UK

  2007 - 2013

• Research associate, INFRAS, Consulting, Policy Analysis & Research, Berne, Switzerland (part time, 80%)

  2004 - 2007

• Postdoctoral fellow, Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland (part time, 15%)

  2004 - 2007

• Advanced fellow SNF and postdoctoral fellow, Biometeorology Group, Faculty of Agricultural Sciences, University of British Columbia, Vancouver, BC, Canada

  2002 - 2003

• Visiting professor

  2013

  LUCCI, Lund University, Sweden

• OCE Distinguished Visiting Scientist,

  2012

  CSIRO / CMAR, Canberra, Australia

• Institute for Meteorology and Geophysics

  2012

  University of Innsbruck, Austria

• BECC (Biodiversity and Ecosystem Services in a Changing Climate) 2018 - 2019

  Standard grant, £163,387 (Co-I)

• Welsh Government Rural Communities - Sustainable Management Scheme Grant 2017 - 2020

  , £924,956 (Co-I)

• NERC, International Opportunities Fund, Grant NE/P008690/1 2017 - 2019

  , £306,806 (Co-I)

• LUCCI, Centre for Studies of Carbon Cycle and Climate Interactions 2013 - 2014

  Visiting Professor at Lund University, Sweden, SEK 400,000 (Co-I)

• CSIRO (Commonwealth Scientific and Industrial Research Organisation), Australia, OCE Distinguished Visiting Scientist 2012

  , AUS$ 12500 (Co-I)

• The Royal Society, International Exchanges, Grant IE110132, £3000 (PI) 2012

• NERC / Airborne Research and Survey Facility (ARSF), Grant EU10-01, joint with FSF and GEF loans, in-kind 2010 - 2011

  , £249,995 (PI)

• NERC / NCEO, NCEO EO Mission Support 2009 - 2010

  , £31,090 (PI)

• NERC, New Investigators Grant, Grant NE/G000360/1 2008 - 2010

  , £67,199 (PI)