Publications Found: 2
Vegetation Type Is An Important Predictor Of The Arctic Summer Land Surface Energy Budget
Oehri, J., Schaepman-Strub, G., Kim, J., Grysko, R., Kropp, H., Grünberg, I., Zemlianskii, V., Sonnentag, O., Euskirchen, E. S., Reji Chacko, M., Muscari, G., Blanken, P. D., Dean, J. F., di Sarra, A., Harding, R. J., Sobota, I., Kutzbach, L., Plekhanova, E., Riihelä, A., Boike, J., Miller, N. B., Beringer, J., López-Blanco, E., Stoy, P. C., Sullivan, R. C., Kejna, M., Parmentier, F. W., Gamon, J. A., Mastepanov, M., Wille, C., Jackowicz-Korczynski, M., Karger, D. N., Quinton, W. L., Putkonen, J., van As, D., Christensen, T. R., Hakuba, M. Z., Stone, R. S., Metzger, S., Vandecrux, B., Frost, G. V., Wild, M., Hansen, B., Meloni, D., Domine, F., te Beest, M., Sachs, T., Kalhori, A., Rocha, A. V., Williamson, S. N., Morris, S., Atchley, A. L., Essery, R., Runkle, B. R., Holl, D., Riihimaki, L. D., Iwata, H., Schuur, E. A., Cox, C. J., Grachev, A. A., McFadden, J. P., Fausto, R. S., Göckede, M., Ueyama, M., Pirk, N., de Boer, G., Bret-Harte, M. S., Leppäranta, M., Steffen, K., Friborg, T., Ohmura, A., Edgar, C. W., Olofsson, J., Chambers, S. D.

Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994–2021). Our variance-partitioning analysis …

Journal: Nature Communications, Volume 13 (1): (2022), ISBN . DOI: 10.1038/s41467-022-34049-3 Sites: CA-SCB, US-A03, US-A10, US-An1, US-An2, US-An3, US-Atq, US-Brw, US-EML, US-HVa, US-ICh, US-ICs, US-ICt, US-Ivo, US-NGB, US-Upa, US-xHE, US-xTL

From NEON field sites to data portal: a community resource for surface–atmosphere research comes online
Metzger, S., Ayres, E., Durden, D., Florian, C., Lee, R., Lunch, C., Luo, H., Pingintha-Durden, N., Roberti, J. A., SanClements, M., Sturtevant, C., Xu, K., Zulueta, R. C.

AbstractThe National Ecological Observatory Network (NEON) is a multidecadal and continental-scale observatory with sites across the United States. Having entered its operational phase in 2018, NEON data products, software, and services become available to facilitate research on the impacts of climate change, land-use change, and …

Journal: Bulletin Of The American Meteorological Society, Volume 100 (11): 2305-2325 (2019), ISBN . DOI: doi:10.1175/bams-d-17-0307.1 Sites: PR-xGU, PR-xLA, US-xAB, US-xAE, US-xBA, US-xBL, US-xBN, US-xBR, US-xCL, US-xCP, US-xDC, US-xDJ, US-xDL, US-xDS, US-xGR, US-xHA, US-xHE, US-xJE, US-xJR, US-xKA, US-xKZ, US-xLE, US-xMB, US-xML, US-xNG, US-xNQ, US-xNW, US-xPU, US-xRM, US-xRN, US-xSB, US-xSC, US-xSE, US-xSJ, US-xSL, US-xSP, US-xSR, US-xST, US-xTA, US-xTE, US-xTL, US-xTR, US-xUK, US-xUN, US-xWD, US-xWR, US-xYE