Publications

Publications Found: 1446

Microclimate in the Forest, Pasture and City Scenario in Southwest Amazon
Antonucci, B., Neves, G. Z., Andrade, N. L., Aguiar, R. G., Webler, A. D.

The expansion of the agricultural frontier driven by deforestation in the Amazon has promoted the increasing conversion of land use and land cover, where forests are being converted into pastures, and/or, with population growth, giving way to the creation of cities. This transformation in vegetation cover is reflected in the climatic …


Journal: Revista Brasileira De Meteorologia, Volume 40: (2025). DOI: 10.1590/0102-778640230038 Sites: BR-Ji1, BR-Ji3

The Impact Of Wildfire On The Land Surface Parameters Of A Semi-Arid Grassland In The Southwestern U.S.
Meyers, T. P., Krishnan, P., Heuer, M., Kochendorfer, J., Diamond, H. J.

Just before the installation of a long-term energy/carbon flux tower site at the 10,000-acre Appleton-Whittle Research Ranch in southern Arizona, a wildfire burned nearly 90 % of this semi-arid grassland area in the region and there was little vegetation remaining on the surface. Wildfires in this region occur roughly every 7 – 15 …


Journal: Agricultural And Forest Meteorology, Volume 363: 110390 (2025). DOI: https://doi.org/10.1016/j.agrformet.2025.110390 Sites: US-Aud

The Chicago Urban Flux Network With Perspectives From An Eddy Covariance Workshop
Raut, B. A., Muradyan, P., Pal, S., Ivans, S., Tuftedal, M., Sherman, Z., Grover, M., O’Brien, J., Jackson, R., Wawrzyniak, E., Cho, A., Anderson, G., Gala, T., Collis, S.

LICOR Eddy Covariance Workshop
What: A hands-on workshop hosted at Argonne National Laboratory to explore theory, instrumentation, and field deployment of the eddy covariance method. Emphasis was placed on urban challenges, best practices, quality assurance and quality control procedures. Participants included students, researchers, …


Journal: Bulletin Of The American Meteorological Society, Volume : (2025). DOI: 10.1175/BAMS-D-25-0180.1 Sites: US-CU1

The Caatinga Dry Tropical Forest: A Highly Efficient Carbon Sink In South America
Mendes, K. R., Oliveira, P. E., Lima, J. R., Moura, M. S., Souza, E. S., Perez-Marin, A. M., Cunha, J. E., Mutti, P. R., Costa, G. B., de Sá, T. N., Araujo, P. A., Ferreira, R. R., Marques, T. V., Rodrigues, D. T., Campos, S., Melo, M. M., Silva, I. V., Morais, L. F., Nascimento, F. S., Silva, I. B., Xavier, G. S., Silva, A. C., Oliveira, A. C., Reis, J. S., Silva, D. F., Medeiros, E. V., Oliveira, C. L., Lopes, M. H., Alves, M. F., Alves, E. M., Santos, C. A., Silva, B. K., Pereira, W. S., Bezerra, A. C., Silva, J. R., Oresca, D., Souza, R. M., Nóbrega, R. L., Silva, T. G., Souza, L. S., Galvincio, J. D., von Randow, C., Verhoef, A., Bezerra, B. G., Silva, C. M., Antonino, A. C., Menezes, R. S.

Seasonally Dry Tropical Forests (SDTFs) may act as considerable carbon sinks, regulating the atmospheric and terrestrial carbon storage and fluxes with implications for local, regional and global climates. In the Caatinga, an endemic Brazilian SDTF, the research on the magnitude of the CO2 sink is still incipient. To address this …


Journal: Agricultural And Forest Meteorology, Volume 369 (110573): 110573 (2025). DOI: https://doi.org/10.1016/j.agrformet.2025.110573 Sites: BR-CST

Over Three Decades, And Counting, Of Near-Surface Turbulent Flux Measurements From The Atmospheric Radiation Measurement (Arm) User Facility
Sullivan, R. C., Billesbach, D. P., Biraud, S., Chan, S., Hart, R., Keeler, E., Kyrouac, J., Pal, S., Pekour, M., Sullivan, S. L., Theisen, A., Tuftedal, M., Cook, D. R.

Processes mediating the coupling of terrestrial, aquatic, biospheric, and atmospheric systems influence weather, climate, and ecosystem dynamics via transfer of energy, momentum, water, and carbon (or other species). These exchange processes are quantified by measurements of near-surface turbulent fluxes. Understanding processes …


Journal: Earth System Science Data, Volume 17 (9): 5007-5038 (2025). DOI: 10.5194/essd-17-5007-2025 Sites: US-A03, US-A10, US-A12, US-A14, US-A20, US-A30, US-A31, US-A33, US-A37, US-A38, US-A39, US-A40, US-A41, US-AC2, US-AC3, US-AC5, US-AC6, US-ARM, US-E32

Using GNSS-based vegetation optical depth, tree sway motion, and eddy covariance to examine evaporation of canopy-intercepted rainfall in a subalpine forest
Burns, S. P., Humphrey, V., Gutmann, E. D., Raleigh, M. S.,, Bowling, D. R., Blanken, P. D.

Recent advances in the measurement of water content within a forest have led to new possibilities to study canopy evaporation. We used a pair of Global Navigation Satellite System (GNSS) receivers (one above the canopy and one near the forest floor) to calculate the vegetation optical depth (VOD) during the warm season in a Colorado …


Journal: Biogeosciences, Volume 22: 5741–5769 (2025). DOI: 10.5194/bg-22-5741-2025 Sites: US-NR1

Phenocam Dataset V3.0: Digital Camera Imagery From The Phenocam Network, 2000-2023
Ballou, K., Vladich, Z., Young, A., Milliman, T., Hufkens, K., Coffey, C., Begay, K., Fell, M., Javadian, M., Post, A., Schadel, C., Zimmerman, O., Browning, D., Florian, C., Friedl, M., Moon, M., SanClements, M., Seyednasrollah, B., Richardson, A., Abraha, M., Allen, D., Apple, M., Arain, M., Axel, A., Badiou, P., Bahn, M., Baker, J., Baldocchi, D., Bayliss, S., Behrens, N., Beier, C., Bernacchi, C., Berveiller, D., Bhattacharjee, J., Biraud, S., Blais, J., Blanken, P., Bonfim, M., Bosch, D., Boughton, R., Boughton, E., Brown, R., Brunsell, N., Burns, S., Carbone, M., Carlson, B., Carrara, A., Cavagna, M., Chan, W., Chen, J., Christen, A., Chrysoulakis, N., Chu, H., Clark, P., Conrad, B., Cortese, M., Crandall, R., Cremonese, E., Crepaz, H., Davis, F., Debinski, D., Desai, A., Detto, M., Diaz-Delgado, R., Duchesne, L., Dunn, A., Easterday, K., Eissenstat, D., El-Madany, T., Ellum, D., Ernest, S., Esposito, A., Euskirchen, E., Fenstermaker, L., Filchev, L., Fill, J., Flanagan, L., Forsythe, B., Frank, J., Freestone, A., Gallagher, J., Garcia, M., Garcia-Diaz, D., Gharun, M., Gianelle, D., Gonet, J., Goslee, S., Griffis, T., Groffman, P., Gu, L., Guillemot, J., Halm, I., Halpin, M., Hammerle, A., Hanson, C., Hanson, P., Harlow, Z., Hart, K., Hatch, C., Heinrich, P., Hemming, D., Heskel, M., Hill, A., Hove, A., Hubner, T., Hui, D., Humphreys, E., Inkenbrandt, P., Jaimes-Hernandez, A., Jensen, R., Johnson, B., Johnson, J., Joseph, L., Keel, E., Kelly, V., King, K., Kirchner, J., Kirchner, P., Kline, M., Knox, S., Krassovski, M., Ladig, K., Laerke, P., Langvall, O., Lany, N., Lanthier, G., le Maire, G., Liu, H., Luo, Y., López Jiménez, R., Manco, A., Marrs, J., Martin, T., Mauritz, M., McCarty, G., McNeil, B., Meier, F., Mensinger, M., Meyer, G., Migliavacca, M., Miura, T., Mohanty, B., Moore, C., Mudd, R., Munger, J., Murrell, Z., Nesic, Z., Neufeld, H., Norris, J., O'Connell, J., O'Halloran, T., Oechel, W., Oishi, A., Oryan, B., Oswald, W., Peltier, D., Perez-Quezada, J., Perkins, T., Phillips, C., Pizarro, M., Poursanidis, D., Pullens, J., Ramanamandimby, P., Rao, M., Ray, R., Reba, M., Redmond, C., Reinmann, A., Roberts, D., Robertson, G., Rodriguez-Caton, M., Rumora, K., Rundquist, B., Runkle, B., Sachs, T., Sadler, E., Saha, A., Saliendra, N., Sankey, T., Scheifinger, H., Schmalbeck, L., Schuppenhauer, M., Schwartz, M., Scott, R., Sebestyen, S., Smale, D., Smith, E., Smith, J., Sonnentag, O., Stoy, P., Strachan, S., Suvocarev, K., Szutu, D., Tekinay, F., Thom, J., Thomas, R., Trauernicht, C., Trejo, D., Tsirantonakis, D., Valero, A., Van den berg, A., Van der molen, M., Vargas, R., Vellend, M., Verfaillie, J., Vogel, C., Vrieling, A., Walker, J., Ward, J., Watts, D., Webb, N., Wetzel, P., Weyers, S., Whipple, A., Whippo, C., White, W., Whitham, T., Wille, C., Wingler, A., Wohlfahrt, G., Wolf, S., Wood, J., Woodley, A., Yang, J., Yang, X., Yenni, G., Zambrano-olimpo, A., Zandonai, A., Zhang, Y., Zona, D.

This dataset provides a time series of visible-wavelength digital camera imagery collected through the PhenoCam Network at each of 738 sites across diverse ecosystems of the world (mostly North America) from 2000-2023. Vegetation types such as deciduous broadleaf forests, grasslands, evergreen needleleaf forests, and agriculture …


Journal: EARTHDATA, Volume : (2025). DOI: 10.3334/ORNLDAAC/2364 Sites: PA-Bas

Phenocam Dataset V3.0: Vegetation Phenology From Digital Camera Imagery, 2000-2023
Zimmerman, O., Young, A., Milliman, T., Hufkens, K., Ballou, K., Coffey, C., Begay, K., Fell, M., Javadian, M., Post, A., Schadel, C., Vladich, Z., Browning, D., Florian, C., Friedl, M., Moon, M., SanClements, M., Seyednasrollah, B., Richardson, A., Abraha, M., Alber, M., Allen, D., Apple, M., Arain, M., Axel, A., Badiou, P., Bahn, M., Baker, J., Baldocchi, D., Bayliss, S., Behrens, N., Beier, C., Bernacchi, C., Berveiller, D., Bhattacharjee, J., Biraud, S., Blais, J., Blanken, P., Bonfim, M., Bosch, D., Boughton, R., Boughton, E., Brown, R., Brunsell, N., Burns, S., Carbone, M., Carlson, B., Carrara, A., Cavagna, M., Chan, W., Chen, J., Christen, A., Chrysoulakis, N., Chu, H., Clark, P., Conrad, B., Cortese, M., Crandall, R., Cremonese, E., Crepaz, H., Davis, F., Debinski, D., Desai, A., Detto, M., Diaz-Delgado, R., Duchesne, L., Dunn, A., Easterday, K., Eissenstat, D., El-madany, T., Ellum, D., Ernest, S., Esposito, A., Euskirchen, E., Fenstermaker, L., Filchev, L., Fill, J., Flanagan, L., Forsythe, B., Frank, J., Freestone, A., Gallagher, J., García, M., Garcia-Diaz, D., Gharun, M., Gianelle, D., Gonet, J., Goslee, S., Griffis, T., Groffman, P., Gu, L., Guillemot, J., Halm, I., Halpin, M., Hammerle, A., Hanson, P., Hanson, C., Harlow, Z., Hart, K., Hatch, C., Heinrich, P., Hemming, D., Heskel, M., Hill, A., Hove, A., Hubner, T., Hui, D., Humphreys, E., Inkenbrandt, P., Jaimes-Hernandez, A., Jensen, R., Johnson, J., Johnson, B., Joseph, L., Keel, E., Kelly, V., King, K., Kirchner, J., Kirchner, P., Kline, M., Knox, S., Krassovski, M., Ladig, K., Laerke, P., Langvall, O., Lanthier, G., Lany, N., López Jiménez, R., Maire, G., Liu, H., Luo, Y., Manco, A., Marrs, J., Martin, T., Mauritz, M., McCarty, G., McNeil, B., Meier, F., Mensinger, M., Meyer, G., Migliavacca, M., Miura, T., Mohanty, B., Moore, C., Mudd, R., Munger, J., Murrell, Z., Nesic, Z., Neufeld, H., Norris, J., O'Connell, J., O'Halloran, T., Oechel, W., Oishi, A., Oryan, B., Oswald, W., Peltier, D., Perez-Quezada, J., Perkins, T., Phillips, C., Pizarro, M., Poursanidis, D., Pullens, J., Ramanamandimby, P., Rao, M., Ray, R., Reba, M., Redmond, C., Reinmann, A., Roberts, D., Robertson, G., Rodriguez-Caton, M., Rumora, K., Rundquist, B., Runkle, B., Sachs, T., Sadler, E., Saha, A., Saliendra, N., Sankey, T., Scheifinger, H., Schmalbeck, L., Schuppenhauer, M., Schwartz, M., Scott, R., Sebestyen, S., Smale, D., Smith, E., Smith, J., Sonnentag, O., Stoy, P., Strachan, S., Suvocarev, K., Szutu, D., Tekinay, F., Thom, J., Thomas, R., Trauernicht, C., Trejo, D., Tsirantonakis, D., Valero, A., Van den berg, A., Van der molen, M., Vargas, R., Vellend, M., Verfaillie, J., Vogel, C., Vrieling, A., Walker, J., Ward, J., Watts, D., Webb, N., Wetzel, P., Weyers, S., Whipple, A., Whippo, C., White, W., Whitham, T., Wille, C., Wingler, A., Wohlfahrt, G., Wolf, S., Wood, J., Woodley, A., Yang, J., Yang, X., Yenni, G., Zambrano-olimpo, A., Zandonai, A., Zhang, Y., Zona, D.

This dataset provides vegetation phenological observations for 738 sites across diverse ecosystems of the world (mostly North America) from 2000 to 2023. The phenology data were derived from conventional visible-wavelength automated digital camera imagery collected through the PhenoCam Network at each site. From each acquired image, …


Journal: EARTHDATA, Volume : (2025). DOI: 10.3334/ORNLDAAC/2389 Sites: PA-Bas

Dynamics of evapotranspiration from concurrent above- and below-canopy flux measurements in a montane Sierra Nevada forest
Wolf, S., Paul-Limoges, E., Sayler, D., Kirchner, J. W.

Evapotranspiration (ET) from the land surface to the atmosphere is a major component of Earth’s water cycle, and comprises both transpiration (T) of xylem water from plants and evaporation (E) of water from soils and vegetation surfaces. These two component fluxes respond differently to changes in temperature, water availability …


Journal: Agricultural And Forest Meteorology, Volume 346: 109864 (2024). DOI: 10.1016/j.agrformet.2023.109864 Sites: US-SHC

The Installation, Operation and Analysis of Eddy Covariance for Quantifying Evapotranspiration
McKinney, S.T., Young, M.H.


Journal: Contract Report, Volume : 56 (2024). DOI: Sites: US-EA4, US-EA5, US-EA6