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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

Performance Evaluation Of Ukesm1 For Surface Ozone Across The Pan-Tropics
Brown, F., Folberth, G., Sitch, S., Artaxo, P., Bauters, M., Boeckx, P., Cheesman, A. W., Detto, M., Komala, N., Rizzo, L., Rojas, N., dos Santos Vieira, I., Turnock, S., Verbeeck, H., Zambrano, A.


Journal: EGUsphere, Volume : (2024). DOI: 10.5194/egusphere-2023-2937 Sites: PA-Bas

Performance Evaluation Of Ukesm1 For Surface Ozone Across The Pan-Tropics
Brown, F., Folberth, G., Sitch, S., Artaxo, P., Bauters, M., Boeckx, P., Cheesman, A. W., Detto, M., Komala, N., Rizzo, L., Rojas, N., dos Santos Vieira, I., Turnock, S., Verbeeck, H., Zambrano, A.

Surface ozone monitoring sites in the tropics are limited, despite the risk that surface ozone poses to human health, tropical forest and crop productivity. Atmospheric chemistry models allow us to assess ozone exposure in unmonitored locations and evaluate the potential influence of changing policies and climate on air quality, …


Journal: Atmospheric Chemistry And Physics, Volume 24 (21): 12537-12555 (2024). DOI: 10.5194/acp-24-12537-2024 Sites: PA-Bas

Tree water fluxes across Panama

Tree water use is the dominant terrestrial hydrologic flux globally, and has a dominant regulatory influence over the carbon cycle. Sap flow through the tree is also a useful model diagnostic for FATES-Hydro. Our objective is to quantify variation in tree water use at three sites across a rainfall gradient in Panama. Our ultimate …


Journal: POSTER, Volume : (2023). DOI: 10.13140/RG.2.2.28103.27049 Sites: PA-Bas