2023
Filhol, S., Lefeuvre, P.-M., Ibañez, J. D., Hulth, J., Hudson, S. R., Gallet, J.-C., Schuler, T. V., and Burkhart, J. F. (2023). A new approach to meteorological observations on remote polar glaciers using open-source internet of things technologies. Frontiers in Environmental Science, 11. DOI:10.3389/fenvs.2023.1085708
Lambert, M. S. A., Tang, H., Aas, K. S., Stordal, F., Fisher, R. A., Bjerke, J. W., Holm, J. A., and Parmentier, F.-J. W. (2023). Integration of a Frost Mortality Scheme Into the Demographic Vegetation Model FATES. Journal of Advances in Modeling Earth Systems, 15(7):e2022MS003333. DOI:10.1029/2022MS003333
Pirk, N., Aalstad, K., Yilmaz, Y. A., Vatne, A., Popp, A. L., Horvath, P., Bryn, A., Vollsnes, A. V., Westermann, S., Berntsen, T. K., Stordal, F., and Tallaksen, L. M. (2023). Snow–vegetation–atmosphere interactions in alpine tundra. Biogeosciences, 20(11):2031–2047. DOI:10.5194/bg-20-2031-2023
Hove, A. V., Aalstad, K., and Pirk, N. (2023). Using reinforcement learning to improve drone-based inference of greenhouse gas fluxes. Nordic Machine Intelligence, 2(4):6. DOI:10.5617/nmi.9897
Filhol, S., Fiddes, J., and Aalstad, K. (2023). TopoPyScale: A Python Package for Hillslope Climate Downscaling. Journal of Open Source Software, 8(86):5059. DOI:10.21105/joss.05059
Westermann, S., Ingeman-Nielsen, T., Scheer, J., Aalstad, K., Aga, J., Chaudhary, N., Etzelmüller, B., Filhol, S., Kääb, A., Renette, C., Schmidt, L. S., Schuler, T. V., Zweigel, R. B., Martin, L., Morard, S., Ben-Asher, M., Angelopoulos, M., Boike, J., Groenke, B., Miesner, F., Nitzbon, J., Overduin, P., Stuenzi, S. M., and Langer, M. (2023). The CryoGrid community model (version 1.0) – a multi-physics toolbox for climate-driven simulations in the terrestrial cryosphere. Geoscientific Model Development, 16(9):2607–2647. DOI:10.5194/gmd-16-2607-2023
Renette, C., Aalstad, K., Aga, J., Zweigel, R. B., Etzelmüller, B., Lilleøren, K. S., Isaksen, K., and Westermann, S. (2023). Simulating the effect of subsurface drainage on the thermal regime and ground ice in blocky terrain in Norway. Earth Surface Dynamics, 11(1):33–50. DOI:10.5194/esurf-11-33-2023
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., and Tallaksen, L. M. (2023). Climate–ecosystem modelling made easy: The Land Sites Platform. Global Change Biology, 29(15):4440–4452. DOI:10.1111/gcb.16808
2022
Lambert, M. S. A., Tang, H., Aas, K. S., Stordal, F., Fisher, R. A., Fang, Y., Ding, J., and 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(23):8809–8829. DOI:10.5194/gmd-15-8809-2022
Pirk, Norbert; Aalstad, Kristoffer; Westermann, Sebastian; Vatne, Astrid; van Hove, Alouette; Tallaksen, Lena Merete; Cassiani, Massimo & Katul, Gabriel G. (2022). Inferring surface energy fluxes using drone data assimilation in large eddy simulations. Atmospheric Measurement Techniques. ISSN 1867-1381. 15, p. 7293–7314. doi: 10.5194/amt-15-7293-2022.
Alonso-Gonzalez, Esteban; Aalstad, Kristoffer; Baba, Mohamed Wassim; Revuelto, Jesus; Lopez-Moreno, Juan I; Fiddes, Joel; Essery, Richard & Gascoin, Simon (2022). The Multiple Snow Data Assimilation System (MuSA v1.0). Geoscientific Model Development. ISSN 1991-959X. 15, p. 9127–9155. doi: 10.5194/gmd-15-9127-2022.
Seco, R., Holst, T., Davie-Martin, C. L., Simin, T., Guenther, A., Pirk, N., Rinne, J., and Rinnan, R. (2022). Strong isoprene emission response to temperature in tundra vegetation. Proceedings of the National Academy of Sciences, 119(38):e2118014119. DOI:10.1073/pnas.2118014119
Helbig, M., Živković, T., Alekseychik, P., Aurela, M., El-Madany, T. S., Euskirchen, E. S., Flanagan, L. B., Griffis, T. J., Hanson, P. J., Hattakka, J., Helfter, C., Hirano, T., Humphreys, E. R., Kiely, G., Kolka, R. K., Laurila, T., Leahy, P. G., Lohila, A., Mammarella, I., Nilsson, M. B., Panov, A., Parmentier, F. J. W., Peichl, M., Rinne, J., Roman, D. T., Sonnentag, O., Tuittila, E.-S., Ueyama, M., Vesala, T., Vestin, P., Weldon, S., Weslien, P., and Zaehle, S. (2022). Warming response of peatland CO2 sink is sensitive to seasonality in warming trends. Nature Climate Change, 12(8):743–749. DOI:10.1038/s41558-022-01428-z
Ramtvedt, E. N. and Pirk, N. (2022). A Methodology for Providing Surface-Cover-Corrected Net Radiation at Heterogeneous Eddy-Covariance Sites. Boundary-Layer Meteorology, 184(1):173–193. DOI:10.1007/s10546-022-00704-x
Virkkala, A.-M., Natali, S. M., Rogers, B. M., Watts, J. D., Savage, K., Connon, S. J., Mauritz, M., Schuur, E. A. G., Peter, D., Minions, C., Nojeim, J., Commane, R., Emmerton, C. A., Goeckede, M., Helbig, M., Holl, D., Iwata, H., Kobayashi, H., Kolari, P., López-Blanco, E., Marushchak, M. E., Mastepanov, M., Merbold, L., Parmentier, F.-J. W., Peichl, M., Sachs, T., Sonnentag, O., Ueyama, M., Voigt, C., Aurela, M., Boike, J., Celis, G., Chae, N., Christensen, T. R., Bret-Harte, M. S., Dengel, S., Dolman, H., Edgar, C. W., Elberling, B., Euskirchen, E., Grelle, A., Hatakka, J., Humphreys, E., Järveoja, J., Kotani, A., Kutzbach, L., Laurila, T., Lohila, A., Mammarella, I., Matsuura, Y., Meyer, G., Nilsson, M. B., Oberbauer, S. F., Park, S.-J., Petrov, R., Prokushkin, A. S., Schulze, C., St. Louis, V. L., Tuittila, E.-S., Tuovinen, J.-P., Quinton, W., Varlagin, A., Zona, D., and Zyryanov, V. I. (2022). The ABCflux database: Arctic–boreal _2 flux observations and ancillary information aggregated to monthly time steps across terrestrial ecosystems. Earth System Science Data, 14(1):179–208. DOI:10.5194/essd-14-179-2022
Salzano, R., Aalstad, K., Cerrato, R., Luks, B., Salvatori, R., and Westermann, S. (2022). Improving terrestrial photography applications on snow cover in Svalbard with satellite remote sensing imagery (PASSES 2). DOI:10.5281/ZENODO.5751867
Fiddes, J., Aalstad, K., and Lehning, M. (2022). TopoCLIM: rapid topography-based downscaling of regional climate model output in complex terrain v1.1. Geoscientific Model Development, 15(4):1753–1768. DOI:10.5194/gmd-15-1753-2022
Euskirchen, E. S., Bruhwiler, L. M., Commane, R., Parmentier, F.-J. W., Schädel, C., Schuur, E. A., and Watts, J. (2022). Chapter 5 - Current knowledge and uncertainties associated with the Arctic greenhouse gas budget. In Poulter, B., Canadell, J. G., Hayes, D. J., and Thompson, R. L., editors, Balancing Greenhouse Gas Budgets, pages 159–201. Elsevier. DOI:https://doi.org/10.1016/B978-0-12-814952-2.00007-1
Beigaitė, R., Tang, H., Bryn, A., Skarpaas, O., Stordal, F., Bjerke, J. W., and Žliobaitė, I. (2022). Identifying climate thresholds for dominant natural vegetation types at the global scale using machine learning: Average climate versus extremes. Global Change Biology, 28(11):3557–3579. DOI:https://doi.org/10.1111/gcb.16110
2021
Bryn, A., Bekkby, T., Rinde, E., Gundersen, H., and Halvorsen, R. (2021). Reliability in Distribution ModelingSynthesis and Step-by-Step Guidelines for Improved Practice. Frontiers in Ecology and Evolution, 9. DOI:10.3389/fevo.2021.658713
Bruhwiler, L., Parmentier, F.-J. W., Crill, P., Leonard, M., and Palmer, P. I. (2021). The Arctic Carbon Cycle and Its Response to Changing Climate. Current Climate Change Reports, 7(1):14–34. DOI:10.1007/s40641-020-00169-5
Zweigel, R. B., Westermann, S., Nitzbon, J., Langer, M., Boike, J., Etzelmüller, B., and Schuler, T. V. (2021). Simulating Snow Redistribution and its Effect on Ground Surface Temperature at a High-Arctic Site on Svalbard. Journal of Geophysical Research: Earth Surface, 126(3). DOI:10.1029/2020JF005673
Stuenzi, S. M., Boike, J., Cable, W., Herzschuh, U., Kruse, S., Pestryakova, L. A., Schneider von Deimling, T., Westermann, S., Zakharov, E. S., and Langer, M. (2021). Variability of the surface energy balance in permafrost-underlain boreal forest. Biogeosciences, 18(2):343–365. DOI:10.5194/bg-18-343-2021
Salzano, R., Aalstad, K., Boldrini, E., Gallet, J.-C., Kępski, D., Luks, B., Nilsen, L., Salvatori, R., and Westermann, S. (2021). Terrestrial photography applications on snow cover in Svalbard. In Moreno-Ibáñez et al., editors, SESS Report 2020, Svalbard Integrated Arctic Earth Observing System, pages 236–251. Longyearbyen. DOI:10.5281/ZENODO.4294084
Ramage, J., Jungsberg, L., Wang, S., Westermann, S., Lantuit, H., and Heleniak, T. (2021). Population living on permafrost in the Arctic. Population and Environment, pages 1573–7810. DOI:10.1007/s11111-020-00370-6
Nitzbon, J., Langer, M., Martin, L. C. P., Westermann, S., Schneider von Deimling, T., and Boike, J. (2021). Effects of multi-scale heterogeneity on the simulated evolution of ice-rich permafrost lowlands under a warming climate. The Cryosphere, 15(3):1399–1422. DOI:10.5194/tc-15-1399-2021
Horvath, P., Tang, H., Halvorsen, R., Stordal, F., Tallaksen, L. M., Berntsen, T. K., and Bryn, A. (2021b). Improving the representation of high-latitude vegetation distribution in dynamic global vegetation models. Biogeosciences, 18(1):95–112. DOI:10.5194/bg-18-95-2021
Burkhart, J. F., Matt, F. N., Helset, S., Sultan Abdella, Y., Skavhaug, O., and Silantyeva, O. (2021). Shyft v4.8: a framework for uncertainty assessment and distributed hydrologic modeling for operational hydrology. Geoscientific Model Development, 14(2):821–842. DOI:10.5194/gmd-14-821-2021
Virkkala, A.-M., Aalto, J., Rogers, B. M., Tagesson, T., Treat, C. C., Natali, S. M., Watts, J. D., Potter, S., Lehtonen, A., Mauritz, M., Schuur, E. A. G., Kochendorfer, J., Zona, D., Oechel, W., Kobayashi, H., Humphreys, E., Goeckede, M., Iwata, H., Lafleur, P. M., Euskirchen, E. S., Bokhorst, S., Marushchak, M., Martikainen, P. J., Elberling, B., Voigt, C., Biasi, C., Sonnentag, O., Parmentier, F.-J. W., Ueyama, M., Celis, G., St.Louis, V. L., Emmerton, C. A., Peichl, M., Chi, J., Järveoja, J., Nilsson, M. B., Oberbauer, S. F., Torn, M. S., Park, S.-J., Dolman, H., Mammarella, I., Chae, N., Poyatos, R., López-Blanco, E., Christensen, T. R., Kwon, M. J., Sachs, T., Holl, D., and Luoto, M. (2021). Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: Regional patterns and uncertainties. Global Change Biology, 27(17):4040–4059. DOI:https://doi.org/10.1111/gcb.15659
Tonjer, L.-R., Thoen, E., Morgado, L., Botnen, S., Mundra, S., Nybakken, L., Bryn, A., and Kauserud, H. (2021). Fungal community dynamics across a forest–alpine ecotone. Molecular Ecology, 30(19):4926–4938. DOI:https://doi.org/10.1111/mec.16095
Pongracz, A., Wårlind, D., Miller, P. A., and Parmentier, F.-J. W. (2021). Model simulations of arctic biogeochemistry and permafrost extent are highly sensitive to the implemented snow scheme in LPJ-GUESS. Biogeosciences, 18(20):5767–5787. DOI:10.5194/bg-18-5767-2021
Parmentier, F.-J. W., Nilsen, L., Tømmervik, H., and Cooper, E. J. (2021). A distributed time-lapse camera network to track vegetation phenology with high temporal detail and at varying scales. Earth System Science Data, 13(7):3593–3606. DOI:10.5194/essd-13-3593-2021
Olefeldt, D., Hovemyr, M., Kuhn, M. A., Bastviken, D., Bohn, T. J., Connolly, J., Crill, P., Euskirchen, E. S., Finkelstein, S. A., Genet, H., Grosse, G., Harris, L. I., Heffernan, L., Helbig, M., Hugelius, G., Hutchins, R., Juutinen, S., Lara, M. J., Malhotra, A., Manies, K., McGuire, A. D., Natali, S. M., O'Donnell, J. A., Parmentier, F.-J. W., Räsänen, A., Schädel, C., Sonnentag, O., Strack, M., Tank, S. E., Treat, C., Varner, R. K., Virtanen, T., Warren, R. K., and Watts, J. D. (2021). The Boreal–Arctic Wetland and Lake Dataset (BAWLD). Earth System Science Data, 13(11):5127–5149. DOI:10.5194/essd-13-5127-2021
Horvath, P., Halvorsen, R., Simensen, T., and Bryn, A. (2021a). A comparison of three ways to assemble wall-to-wall maps from distribution models of vegetation types. GIScience & Remote Sensing, 58(8):1458–1476. DOI:10.1080/15481603.2021.1996313
Haga, H. E. E. S., Nilsen, A. B., Ullerud, H. A., and Bryn, A. (2021). Quantification of accuracy in field-based land cover maps: A new method to separate different components. Applied Vegetation Science, 24(2):e12578. DOI:https://doi.org/10.1111/avsc.12578
Alonso-González, E., Gutmann, E., Aalstad, K., Fayad, A., Bouchet, M., and Gascoin, S. (2021). Snowpack dynamics in the Lebanese mountains from quasi-dynamically downscaled ERA5 reanalysis updated by assimilating remotely sensed fractional snow-covered area. Hydrology and Earth System Sciences, 25(8):4455–4471. DOI:10.5194/hess-25-4455-2021
2020
Kumkar, Y., Astrup, R., Stordal, F., and Bright, R. M. (2020). Quantifying Regional Surface Energy Responses to Forest Structural Change in Nordic Fennoscandia. Journal of Geophysical Research: Atmospheres, 125(15). DOI:10.1029/2019JD032092
Eriksrød, J. H. H., Burkhart, J. F., Lande, T. S., and Hamran, S. (2020). Bistatic SAR Radar for Long-Term Snow Pack Monitoring. IEEE Transactions on Geoscience and Remote Sensing, 58(1):218–226. DOI:10.1109/TGRS.2019.2935781
Sporre, M. K., Blichner, S. M., Schrödner, R., Karset, I. H. H., Berntsen, T. K., van Noije, T., Bergman, T., O'Donnell, D., and Makkonen, R. (2020). Large difference in aerosol radiative effects from BVOC-SOA treatment in three Earth system models. Atmospheric Chemistry and Physics, 20(14):8953–8973. DOI:10.5194/acp-20-8953-2020
Simensen, T., Horvath, P., Vollering, J., Erikstad, L., Halvorsen, R., and Bryn, A. (2020). Composite landscape predictors improve distribution models of ecosystem types. Diversity and Distributions, 26(8):928–943. DOI:10.1111/ddi.13060
Seland, Ø., Bentsen, M., Olivié, D., Toniazzo, T., Gjermundsen, A., Graff, L. S., Debernard, J. B., Gupta, A. K., He, Y.-C., Kirkevåg, A., Schwinger, J., Tjiputra, J., Aas, K. S., Bethke, I., Fan, Y., Griesfeller, J., Grini, A., Guo, C., Ilicak, M., Karset, I. H. H., Landgren, O., Liakka, J., Moseid, K. O., Nummelin, A., Spensberger, C., Tang, H., Zhang, Z., Heinze, C., Iversen, T., and Schulz, M. (2020). Overview of the Norwegian Earth System Model (NorESM2) and key climate response of CMIP6 DECK historical and scenario simulations. Geoscientific Model Development, 13(12):6165–6200. DOI:10.5194/gmd-13-6165-2020
Obu, J., Westermann, S., Vieira, G., Abramov, A., Balks, M. R., Bartsch, A., Hrbáček, F., Kääb, A., and Ramos, M. (2020). Pan-Antarctic map of near-surface permafrost temperatures at 1 km2 scale. The Cryosphere, 14(2):497–519. DOI:10.5194/tc-14-497-2020
Nitzbon, J., Westermann, S., Langer, M., Martin, L. C. P., Strauss, J., Laboor, S., and Boike, J. (2020b). Fast response of cold ice-rich permafrost in northeast Siberia to a warming climate. Nature Communications, 11(1). DOI:10.1038/s41467-020-15725-8
Myers-Smith, I. H., Kerby, J. T., Phoenix, G. K., Bjerke, J. W., Epstein, H. E., Assmann, J. J., John, C., Andreu-Hayles, L., Angers-Blondin, S., Beck, P. S. A., Berner, L. T., Bhatt, U. S., Bjorkman, A. D., Blok, D., Bryn, A., Christiansen, C. T., Cornelissen, J. H. C., Cunliffe, A. M., Elmendorf, S. C., Forbes, B. C., Goetz, S. J., Hollister, R. D., de Jong, R., Loranty, M. M., Macias-Fauria, M., Maseyk, K., Normand, S., Olofsson, J., Parker, T. C., Parmentier, F.-J. W., Post, E., Schaepman-Strub, G., Stordal, F., Sullivan, P. F., Thomas, H. J. D., Tømmervik, H., Treharne, R., Tweedie, C. E., Walker, D. A., Wilmking, M., and Wipf, S. (2020). Complexity revealed in the greening of the Arctic. Nature Climate Change, 10(2):106–117. DOI:10.1038/s41558-019-0688-1
Chaudhary, N., Westermann, S., Lamba, S., Shurpali, N., Sannel, A. B. K., Schurgers, G., Miller, P. A., and Smith, B. (2020). Modelling past and future peatland carbon dynamics across the pan-Arctic. Global Change Biology, 26(7):4119–4133. DOI:10.1111/gcb.15099
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.-J. 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):e2020GB006678. DOI:10.1029/2020GB006678
Cai, L., Lee, H., Aas, K. S., and Westermann, S. (2020). Projecting circum-Arctic excess-ground-ice melt with a sub-grid representation in the Community Land Model. The Cryosphere, 14(12):4611–4626. DOI:10.5194/tc-14-4611-2020
Bryn, A. and Horvath, P. (2020). Kartlegging av NiN naturtyper i målestokk 1:5000 rundt flux-tårnet og på Hansbunuten Finse Vestland. NHM Rapport 96, 28 sider. Naturhistorisk museum, Universitetet i Oslo. ISBN: 978-82-7970-122-4.
Bhattarai, B. C., Silantyeva, O., Teweldebrhan, A. T., Helset, S., Skavhaug, O., and Burkhart, J. F. (2020). Impact of Catchment Discretization and Imputed Radiation on Model Response: A Case Study from Central Himalayan Catchment. Water, 12(9). DOI:10.3390/w12092339
Aalstad, K., Westermann, S., and Bertino, L. (2020). Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography. Remote Sensing of Environment, 239:111618. DOI:10.1016/j.rse.2019.111618
2019
Eriksen, E. L., Ullerud, H. A., Halvorsen, R., Aune, S., Bratli, H., Horvath, P., Volden, I. K., Wollan, A. K., and Bryn, A. (2019). Point of view: error estimation in field assignment of land-cover types. Phytocoenologia, 49(2):135–148. DOI:10.1127/phyto/2018/0293
Zwieback, S., Westermann, S., Langer, M., Boike, J., Marsh, P., and Berg, A. (2019). Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture. Water Resources Research, 55(3):1814–1832. DOI:10.1029/2018WR023247
Yilmaz, Y. A., Aalstad, K., and Sen, O. L. (2019). Multiple Remotely Sensed Lines of Evidence for a Depleting Seasonal Snowpack in the Near East. Remote Sensing, 11(5). DOI:10.3390/rs11050483
Sporre, M. K., Blichner, S. M., Karset, I. H. H., Makkonen, R., and Berntsen, T. K. (2019). BVOC-aerosol-climate feedbacks investigated using NorESM. Atmospheric Chemistry and Physics, 19(7):4763–4782. DOI:10.5194/acp-19-4763-2019
Obu, J., Westermann, S., Bartsch, A., Berdnikov, N., Christiansen, H. H., Dashtseren, A., Delaloye, R., Elberling, B., Etzelmüller, B., Kholodov, A., Khomutov, A., Kääb, A., Leibman, M. O., Lewkowicz, A. G., Panda, S. K., Romanovsky, V., Way, R. G., Westergaard-Nielsen, A., Wu, T., Yamkhin, J., and Zou, D. (2019). Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale. Earth-Science Reviews, 193:299–316. DOI:10.1016/j.earscirev.2019.04.023
Martin, L. C. P., Nitzbon, J., Aas, K. S., Etzelmüller, B., Kristiansen, H., and Westermann, S. (2019). Stability Conditions of Peat Plateaus and Palsas in Northern Norway. Journal of Geophysical Research: Earth Surface, 124(3):705–719. DOI:10.1029/2018JF004945
Erlandsen, H. B., Tallaksen, L. M., and Kristiansen, J. (2019). Merits of novel high-resolution estimates and existing long-term estimates of humidity and incident radiation in a complex domain. Earth System Science Data, 11(2):797–821. DOI:10.5194/essd-11-797-2019
Aas, K. S., Martin, L., Nitzbon, J., Langer, M., Boike, J., Lee, H., Berntsen, T. K., and Westermann, S. (2019). Thaw processes in ice-rich permafrost landscapes represented with laterally coupled tiles in a land surface model. The Cryosphere, 13(2):591–609. DOI:10.5194/tc-13-591-2019
Pall, P., Tallaksen, L. M., and Stordal, F. (2019). A Climatology of Rain-on-Snow Events for Norway. Journal of Climate, 32(20):6995–7016. DOI:10.1175/JCLI-D-18-0529.1
Horvath, P., Halvorsen, R., Stordal, F., Tallaksen, L. M., Tang, H., and Bryn, A. (2019). Distribution modelling of vegetation types based on area frame survey data. Applied Vegetation Science, 22(4):547–560. DOI:10.1111/avsc.12451
Fiddes, J., Aalstad, K., and Westermann, S. (2019). Hyper-resolution ensemble-based snow reanalysis in mountain regions using clustering. Hydrology and Earth System Sciences, 23(11):4717–4736. DOI:10.5194/hess-23-4717-2019
Bryn, A., Habberstad, M.-Ø., Hjelle, A., Horvath, P., Langen, M., Lund, O., Torma, M., and Volden, I. (2019). Folkeforskning om klima og skoggrenser. In Lerkelund, H., editor, Forskning i Friluft 2018, pages 277–283.
Ullerud, H. A., Bryn, A., and Skånes, H. (2019). Bridging theory and implementation - Testing an abstract classification system for practical mapping by field survey and 3D aerial photographic interpretation. Norsk Geografisk Tidsskrift - Norwegian Journal of Geography, 73(5):301–317. DOI:10.1080/00291951.2020.1717595
2018
Teweldebrhan, A. T., Burkhart, J. F., and Schuler, T. V. (2018). Parameter uncertainty analysis for an operational hydrological model using residual-based and limits of acceptability approaches. Hydrology and Earth System Sciences, 22(9):5021–5039. DOI:10.5194/hess-22-5021-2018
Matt, F. N. and Burkhart, J. F. (2018). Assessing Satellite-Derived Radiative Forcing From Snow Impurities Through Inverse Hydrologic Modeling. Geophysical Research Letters, 45(8):3531–3541. DOI:10.1002/2018GL077133
Aune, S., Bryn, A., and Hovstad, K. A. (2018). Loss of semi-natural grassland in a boreal landscape: impacts of agricultural intensification and abandonment. Journal of Land Use Science, 13(4):375–390. DOI:10.1080/1747423X.2018.1539779
Nilsen, I. B. (2018). Hydroclimatological WRF model results for diagnosing land-atmosphere coupling in a seasonally snow-covered region (South Norway). DOI:10.11582/2018.00019
Töpper, J. P., Meineri, E., Olsen, S. L., Rydgren, K., Skarpaas, O., and Vandvik, V. (2018). The devil is in the detail: Nonadditive and context-dependent plant population responses to increasing temperature and precipitation. Global Change Biology, 24(10):4657–4666. DOI:10.1111/gcb.14336
Kjellman, S. E., Axelsson, P. E., Etzelmüller, B., Westermann, S., and Sannel, A. B. K. (2018). Holocene development of subarctic permafrost peatlands in Finnmark northern Norway. The Holocene, 28(12):1855–1869. DOI:10.1177/0959683618798126
Strozzi, T., Antonova, S., Günther, F., Mätzler, E., Vieira, G., Wegmüller, U., Westermann, S., and Bartsch, A. (2018). Sentinel-1 SAR Interferometry for Surface Deformation Monitoring in Low-Land Permafrost Areas. Remote Sensing, 10(9). DOI:10.3390/rs10091360
Aalstad, K., Westermann, S., Schuler, T. V., Boike, J., and Bertino, L. (2018). Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites. The Cryosphere, 12(1):247–270. DOI:10.5194/tc-12-247-2018
Matt, F. N., Burkhart, J. F., and Pietikäinen, J.-P. (2018). Modelling hydrologic impacts of light absorbing aerosol deposition on snow at the catchment scale. Hydrology and Earth System Sciences, 22(1):179–201. DOI:10.5194/hess-22-179-2018
Westergaard-Nielsen, A., Karami, M., Hansen, B. U., Westermann, S., and Elberling, B. (2018). Contrasting temperature trends across the ice-free part of Greenland. Scientific Reports, 8(1). DOI:10.1038/s41598-018-19992-w
Boike, J., Juszak, I., Lange, S., Chadburn, S., Burke, E., Overduin, P. P., Roth, K., Ippisch, O., Bornemann, N., Stern, L., Gouttevin, I., Hauber, E., and Westermann, S. (2018). A 20-year record (1998-2017) of permafrost active layer and meteorological conditions at a high Arctic permafrost research site (Bayelva Spitsbergen). Earth System Science Data, 10(1):355–390. DOI:10.5194/essd-10-355-2018
Ullerud, H. A., Bryn, A., Halvorsen, R., and Hemsing, L. Ø. (2018). Consistency in land-cover mapping: Influence of field workers spatial scale and classification system. Applied Vegetation Science, 21(2):278–288. DOI:10.1111/avsc.12368
Bryn, A., Strand, G.-H., Angeloff, M., and Rekdal, Y. (2018). Land cover in Norway based on an area frame survey of vegetation types. Norsk Geografisk Tidsskrift - Norwegian Journal of Geography, 72(3):131–145. DOI:10.1080/00291951.2018.1468356
Bryn, A. and Potthoff, K. (2018). Elevational treeline and forest line dynamics in Norwegian mountain areas - a review. Landscape Ecology, 33(8):1225–1245. DOI:10.1007/s10980-018-0670-8
Rizzi, J. Nilsen, I.B., Stagge, J.H., Gisnås, K., and Tallaksen, L.M. (2018): Five decades of warming: impacts on snow in Norway. Hydrology research. DOI: 10.2166/nh.2017.051.
2017
Bryn, A. & Potthoff, K. (2017): 20th century Betula pubescens subsp. czerepanovii tree- and forest lines in Norway. Biodiversity Data Journal 5: e22093.Rydsaa, J.H., Stordal, F., Bryn, A. & Tallaksen, L.M. (2017): Effects of shrub and tree cover increase on the near-surface atmosphere in northern Fennoscandia. Biogeosciences 14: 4209-2017.
D'Amboise, C. J. L., Müller, K., Oxarango, L., Morin, S., and Schuler, T. V. (2017). Implementation of a physically based water percolation routine in the Crocus/SURFEX (V7.3) snowpack model, Geosci. Model Dev., 10, 3547-3566, doi:10.5194/gmd-10-3547-2017.
Østby, T. I., Schuler, T. V., Hagen, J. O., Hock, R., Kohler, J. and Reijmer, C. H. (2017). Diagnosing the decline in climatic mass balance of glaciers in Svalbard over 1957-2014, The Cryosphere, 11, 191-215, doi:10.5194/tc-11-191-2017.
Chadburn, S., Krinner, G., Porada, P., Bartsch, A., Beer, C., Belelli Marchesini, L., Boike, J., Elberling, B., Friborg, T., Hugelius, G., Johansson, M., Kuhry, P., Kutzbach, L., Langer, M., Lund, M., Parmentier, F.-J., Peng, S., Van Huissteden, K., Wang, T., Westermann, S., Zhu, D., Burke, E.: Carbon stocks and fluxes in the high latitudes: Using site-level data to evaluate Earth system models, Biogeosciences, 14, 5143-5169, https://doi.org/10.5194/bg-14-5143-2017, 2017.
Kępski, D., Luks, B., Migała, K., Wawrzyniak, T., Westermann, S., Wojtuń, B.: Terrestrial Remote Sensing of Snowmelt in a Diverse High-Arctic Tundra Environment Using Time-Lapse Imagery, Remote Sensing, 9 (7), 733, doi:10.3390/rs9070733, 2017.
Westermann, S., Peter, M., Langer, M., Schwamborn, G., Schirrmeister, L., Etzelmüller, B., Boike, J.: Transient modeling of the ground thermal conditions using satellite data in the Lena River Delta, Siberia, The Cryosphere, 11, 1441-1463, doi:10.5194/tc-11-1441-2017, 2017.
Trofaier, A., Westermann, S., Bartsch, A.: Progress in space-borne studies of permafrost for climate science: Towards a multi-ECV approach, Remote Sensing of Environment, in press. Doi:10.1016/j.rse.2017.05.021
Chadburn, S., Burke, E., Cox, P., Friedlingstein, P., Hugelius, G., Westermann, S.: An observation-based constraint on permafrost loss as a function of global warming, Nature Climate Change, doi:10.1038/nclimate3262, 2017.
Borge, A., Westermann, S., Solheim, I., & B., Etzelmüller. 2017: Strong degradation of palsas and peat plateaus in northern Norway during the last 60 years. The Cryosphere, 11, 1-16, doi:10.5194/tc-11-1-2017.
Erlandsen, H., I. Haddeland, L. Tallaksen, and J. Kristiansen, 2017: The Sensitivity of the Terrestrial Surface Energy and Water Balance Estimates in the WRF Model to Lower Surface Boundary Representations: A South Norway Case Study. J. Hydrometeor. 18, 265–284, doi: 10.1175/JHM-D-15-0146.1.
Schanke Aas, K., Gisnås, K., Westermann, S., & T., Berntsen. 2017: A tiling approach to represent sub-grid snow variability in coupled land-surface-atmosphere model. Journal of Hydrometeorology, doi:10.1175/JHM-D-16-0026.1.
2016
Gisnås, K., Etzelmüller, B., Lussana, C., Hjort, J., Sannel, B., Isaksen, K., Westermann, S., Kuhry, P., Christiansen, H.H., Frampton, A., & J., Åkerman. 2016: Permafrost map for Norway. Sweden and Finland, Permafrost and Periglacial Processes, doi:10.1002/ppp.1922.
Gisnås, K., Westermann, S., Schuler, T. V., Melvold, K., and B., Etzelmüller. 2016: Small-scale variation of snow in a regional permafrost model. The Cryosphere, 10, 1201-1215.
Langer, M., Westermann, S., Boike, J., Kirillin, G., Grosse, G., Peng, S., G., Krinner: Rapid degradation of permafrost underneath waterbodies in tundra landscapes - Toward a representation of thermokarst in land surface models. Journal of Geophysical Research - Earth Surface, accepted.
Steiger, C., Etzelmüller, B., Westermann, S., Myhra, K.: Modelling the permafrost distribution in steep rock walls in Norway. Norwegian Journal of Geology/Norsk Geologisk Forening, 96 (4), 1-13, 2016.
Westermann, S., Langer, M., Boike, J., Heikenfeld, M., Peter, M., Etzelmüller, B., G., Krinner. 2016: Simulating the thermal regime and thaw processes of ice-rich permafrost ground with the land-surface model CryoGrid 3. Geoscientific Model Development, 9, 523-546, doi:10.5194/gmd-9-523-2016, 2016.
2015
Rydsaa, J.H., Stordal, F. and L.M., Tallaksen, L.M., 2015: Sensitivity of the regional European boreal climate to changes in surface properties resulting from structural vegetation changes. Biogeosciences, 12, 3071-3087. doi:10.5194/bg-12-3071-2015.