Publication Search
Burns, S. P., Maclean, G. D., Blanken, P. D., Oncley, S. P., Semmer, S. R., Monson, R. K.
Journal: Geoscientific Instrumentation, Methods And Data Systems, Volume 5 (2): 451-471 (2016). DOI: 10.5194/gi-5-451-2016 Sites: US-NR1
Sulman, B.N., Roman, D.T., Yi, K., Wang, L., Phillips, R.P. and Novick, K.A
Journal: Geophysical Research Letters, Volume 43 (18): 9686-9695 (2016). DOI: Sites: US-MMS
Anderson, C. A., Vivoni, E. R.
Land surface states play important roles in the turbulent exchanges between ecosystems and their overlying atmosphere. Field methods to estimate turbulent fluxes have time‐variable source areas, while land surface observations are typically obtained at single plots with a smaller measurement scale. In this study, we characterize …
Journal: Water Resources Research, Volume 52 (6): 4785-4800 (2016). DOI: https://doi.org/10.1002/2015WR018016 Sites: US-SRS
Gu, L., Pallardy, S. G., Yang, B., Hosman, K. P., Mao, J., Ricciuto, D., Shi, X., Sun, Y.
Journal: Journal Of Geophysical Research: Biogeosciences, Volume 121 (7): 1884-1902 (2016). DOI: 10.1002/2015JG003302 Sites: US-MOz
Kobayashi, H., Yunus, A. P., Nagai, S., Sugiura, K., Kim, Y., Van Dam, B., Nagano, H., Zona, D., Harazono, Y., Bret-Harte, M. S., Ichii, K., Ikawa, H., Iwata, H., Oechel, W. C., Ueyama, M., Suzuki, R.
The latitudinal gradient of the start of the growing season (SOS) and the end of the growing season (EOS) were quantified in Alaska (61°N to 71°N) using satellite-based and ground-based datasets. The Alaskan evergreen needleleaf forests are sparse and the understory vegetation has a substantial impact on the satellite signal. We …
Journal: Remote Sensing Of Environment, Volume 177: 160-170 (2016). DOI: 10.1016/j.rse.2016.02.020 Sites: US-Prr
Matthias Falk
We present a decade and a half (1998-2013) of carbon dioxide fluxes from an old-growth stand in the American Pacific Northwest to identify ecosystem-level responses to Pacific teleconnection patterns, including the El Niño/Southern Oscillation (ENSO). This study provides the longest, continuous record of old-growth eddy flux data …
Journal: Environmental Research Letters, Volume 11: 1-12 (2016). DOI: Sites: US-Wrc
Biederman, J. A., Scott, R. L., Goulden, M. L., Vargas, R., Litvak, M. E., Kolb, T. E., Yepez, E. A., Oechel, W. C., Blanken, P. D., Bell, T. W., Garatuza-Payan, J., Maurer, G. E., Dore, S., Burns, S. P.
Journal: Global Change Biology, Volume 22 (5): 1867-1879 (2016). DOI: 10.1111/gcb.13222 Sites: US-Mpj, US-Seg, US-Ses, US-Vcm, US-Vcp, US-Wjs
Waldo, S., Chi, J., Pressley, S. N., O’Keeffe, P., Pan, W. L., Brooks, E. S., Huggins, D. R., Stöckle, C. O., Lamb, B. K.
Journal: Agricultural And Forest Meteorology, Volume 218-219: 25-36 (2016). DOI: 10.1016/j.agrformet.2015.11.018 Sites: US-RC1, US-RC3
Sulman, B.N., Roman, D.T., Scanlon, T.M., Wang, L. and Novick, K.A
Journal: Agricultural And Forest Meteorology, Volume 226-227: 229-245 (2016). DOI: Sites: US-MMS
Mascaro, G., Vivoni, E. R.
The spatiotemporal variability of soil moisture (θ) has rarely been studied at the field scale across different seasons and sites. Here, we utilized 9 months of θ data in two semiarid ecosystems of North America to investigate the key relationship between the spatial mean (〈θ〉) and standard deviation (σ θ ) at the field-scale …
Journal: Environmental Research Letters, Volume 11 (8): 084008 (2016). DOI: https://doi.org/10.1088/1748-9326/11/8/084008 Sites: US-Jo2, US-SRS
