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254 results on '"Meyers, Tilden P."'

3. Connecting Land–Atmosphere Interactions to Surface Heterogeneity in CHEESEHEAD19

Author

Butterworth, Brian J., Desai, Ankur R., Metzger, Stefan, Townsend, Philip A., Schwartz, Mark D., Petty, Grant W., Mauder, Matthias, Vogelmann, Hannes, Andresen, Christian G., Augustine, Travis J., Bertram, Timothy H., Brown, William O. J., Buban, Michael, Cleary, Patricia, Durden, David J., Florian, Christopher R., Iglinski, Trevor J., Kruger, Eric L., Lantz, Kathleen, Lee, Temple R., Meyers, Tilden P., Mineau, James K., Olson, Erik R., Oncley, Steven P., Paleri, Sreenath, Pertzborn, Rosalyn A., Pettersen, Claire, Plummer, David M., Riihimaki, Laura D., Guzman, Eliceo Ruiz, Sedlar, Joseph, Smith, Elizabeth N., Speidel, Johannes, Stoy, Paul C., Sühring, Matthias, Thom, Jonathan E., Turner, David D., Vermeuel, Michael P., Wagner, Timothy J., Wang, Zhien, Wanner, Luise, White, Loren D., Wilczak, James M., Wright, Daniel B., and Zheng, Ting

Published
2021

7. Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Author

Pastorello, Gilberto, Trotta, Carlo, Canfora, Eleonora, Chu, Housen, Christianson, Danielle, Cheah, You-Wei, Poindexter, Cristina, Chen, Jiquan, Elbashandy, Abdelrahman, Humphrey, Marty, Isaac, Peter, Polidori, Diego, Reichstein, Markus, Ribeca, Alessio, van Ingen, Catharine, Vuichard, Nicolas, Zhang, Leiming, Amiro, Brian, Ammann, Christof, Arain, M. Altaf, Ardö, Jonas, Arkebauer, Timothy, Arndt, Stefan K., Arriga, Nicola, Aubinet, Marc, Aurela, Mika, Baldocchi, Dennis, Barr, Alan, Beamesderfer, Eric, Marchesini, Luca Belelli, Bergeron, Onil, Beringer, Jason, Bernhofer, Christian, Berveiller, Daniel, Billesbach, Dave, Black, Thomas Andrew, Blanken, Peter D., Bohrer, Gil, Boike, Julia, Bolstad, Paul V., Bonal, Damien, Bonnefond, Jean-Marc, Bowling, David R., Bracho, Rosvel, Brodeur, Jason, Brümmer, Christian, Buchmann, Nina, Burban, Benoit, Burns, Sean P., Buysse, Pauline, Cale, Peter, Cavagna, Mauro, Cellier, Pierre, Chen, Shiping, Chini, Isaac, Christensen, Torben R., Cleverly, James, Collalti, Alessio, Consalvo, Claudia, Cook, Bruce D., Cook, David, Coursolle, Carole, Cremonese, Edoardo, Curtis, Peter S., D’Andrea, Ettore, da Rocha, Humberto, Dai, Xiaoqin, Davis, Kenneth J., De Cinti, Bruno, de Grandcourt, Agnes, De Ligne, Anne, De Oliveira, Raimundo C., Delpierre, Nicolas, Desai, Ankur R., Di Bella, Carlos Marcelo, di Tommasi, Paul, Dolman, Han, Domingo, Francisco, Dong, Gang, Dore, Sabina, Duce, Pierpaolo, Dufrêne, Eric, Dunn, Allison, Dušek, Jiří, Eamus, Derek, Eichelmann, Uwe, ElKhidir, Hatim Abdalla M., Eugster, Werner, Ewenz, Cacilia M., Ewers, Brent, Famulari, Daniela, Fares, Silvano, Feigenwinter, Iris, Feitz, Andrew, Fensholt, Rasmus, Filippa, Gianluca, Fischer, Marc, Frank, John, Galvagno, Marta, Gharun, Mana, Gianelle, Damiano, Gielen, Bert, Gioli, Beniamino, Gitelson, Anatoly, Goded, Ignacio, Goeckede, Mathias, Goldstein, Allen H., Gough, Christopher M., Goulden, Michael L., Graf, Alexander, Griebel, Anne, Gruening, Carsten, Grünwald, Thomas, Hammerle, Albin, Han, Shijie, Han, Xingguo, Hansen, Birger Ulf, Hanson, Chad, Hatakka, Juha, He, Yongtao, Hehn, Markus, Heinesch, Bernard, Hinko-Najera, Nina, Hörtnagl, Lukas, Hutley, Lindsay, Ibrom, Andreas, Ikawa, Hiroki, Jackowicz-Korczynski, Marcin, Janouš, Dalibor, Jans, Wilma, Jassal, Rachhpal, Jiang, Shicheng, Kato, Tomomichi, Khomik, Myroslava, Klatt, Janina, Knohl, Alexander, Knox, Sara, Kobayashi, Hideki, Koerber, Georgia, Kolle, Olaf, Kosugi, Yoshiko, Kotani, Ayumi, Kowalski, Andrew, Kruijt, Bart, Kurbatova, Julia, Kutsch, Werner L., Kwon, Hyojung, Launiainen, Samuli, Laurila, Tuomas, Law, Bev, Leuning, Ray, Li, Yingnian, Liddell, Michael, Limousin, Jean-Marc, Lion, Marryanna, Liska, Adam J., Lohila, Annalea, López-Ballesteros, Ana, López-Blanco, Efrén, Loubet, Benjamin, Loustau, Denis, Lucas-Moffat, Antje, Lüers, Johannes, Ma, Siyan, Macfarlane, Craig, Magliulo, Vincenzo, Maier, Regine, Mammarella, Ivan, Manca, Giovanni, Marcolla, Barbara, Margolis, Hank A., Marras, Serena, Massman, William, Mastepanov, Mikhail, Matamala, Roser, Matthes, Jaclyn Hatala, Mazzenga, Francesco, McCaughey, Harry, McHugh, Ian, McMillan, Andrew M. S., Merbold, Lutz, Meyer, Wayne, Meyers, Tilden, Miller, Scott D., Minerbi, Stefano, Moderow, Uta, Monson, Russell K., Montagnani, Leonardo, Moore, Caitlin E., Moors, Eddy, Moreaux, Virginie, Moureaux, Christine, Munger, J. William, Nakai, Taro, Neirynck, Johan, Nesic, Zoran, Nicolini, Giacomo, Noormets, Asko, Northwood, Matthew, Nosetto, Marcelo, Nouvellon, Yann, Novick, Kimberly, Oechel, Walter, Olesen, Jørgen Eivind, Ourcival, Jean-Marc, Papuga, Shirley A., Parmentier, Frans-Jan, Paul-Limoges, Eugenie, Pavelka, Marian, Peichl, Matthias, Pendall, Elise, Phillips, Richard P., Pilegaard, Kim, Pirk, Norbert, Posse, Gabriela, Powell, Thomas, Prasse, Heiko, Prober, Suzanne M., Rambal, Serge, Rannik, Üllar, Raz-Yaseef, Naama, Rebmann, Corinna, Reed, David, de Dios, Victor Resco, Restrepo-Coupe, Natalia, Reverter, Borja R., Roland, Marilyn, Sabbatini, Simone, Sachs, Torsten, Saleska, Scott R., Sánchez-Cañete, Enrique P., Sanchez-Mejia, Zulia M., Schmid, Hans Peter, Schmidt, Marius, Schneider, Karl, Schrader, Frederik, Schroder, Ivan, Scott, Russell L., Sedlák, Pavel, Serrano-Ortíz, Penélope, Shao, Changliang, Shi, Peili, Shironya, Ivan, Siebicke, Lukas, Šigut, Ladislav, Silberstein, Richard, Sirca, Costantino, Spano, Donatella, Steinbrecher, Rainer, Stevens, Robert M., Sturtevant, Cove, Suyker, Andy, Tagesson, Torbern, Takanashi, Satoru, Tang, Yanhong, Tapper, Nigel, Thom, Jonathan, Tomassucci, Michele, Tuovinen, Juha-Pekka, Urbanski, Shawn, Valentini, Riccardo, van der Molen, Michiel, van Gorsel, Eva, van Huissteden, Ko, Varlagin, Andrej, Verfaillie, Joseph, Vesala, Timo, Vincke, Caroline, Vitale, Domenico, Vygodskaya, Natalia, Walker, Jeffrey P., Walter-Shea, Elizabeth, Wang, Huimin, Weber, Robin, Westermann, Sebastian, Wille, Christian, Wofsy, Steven, Wohlfahrt, Georg, Wolf, Sebastian, Woodgate, William, Li, Yuelin, Zampedri, Roberto, Zhang, Junhui, Zhou, Guoyi, Zona, Donatella, Agarwal, Deb, Biraud, Sebastien, Torn, Margaret, and Papale, Dario

Published
2021
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8. Evaluation of soil water content and bulk electrical conductivity across the U.S. Climate Reference Network using two electromagnetic sensors.

Author

Wilson, Timothy B., Kochendorfer, John, Diamond, Howard J., Meyers, Tilden P., Hall, Mark, Lee, Temple R., Saylor, Rick D., Krishnan, Praveena, Leeper, Ronald D., and Palecki, Michael A.

Subjects
SOIL moisture, ELECTRIC conductivity of soils, ELECTRIC conductivity, WATERLOGGING (Soils), SOIL temperature measurement
Abstract

Soil bulk electrical conductivity (BEC) was evaluated alongside soil volumetric water content (VWC) and soil temperature measurements using the HydraProbe (model HydraProbe, Stevens Water Monitoring Systems, Inc.) (hereafter called HP) with accuracy range of BEC ≤ 0.3 S m−1, and the time domain reflectometry (TDR)‐315L Probe (model TDR‐315L, Acclima, Inc.) (hereafter called AP) suitable for BEC up to 0.6 S m−1, at 23 stations of the U.S. Climate Reference Network. Previous evaluations revealed inconsistent performance of both sensors in some clay soils using manufacturer‐recommended calibrations in converting dielectric permittivity measurements to VWC. Here, we found that hourly values of BEC reached 0.6 S m−1 in high clay content soils and exceeded 2 S m−1 in high saline soils, and these high values of BEC were associated with poor performance and failures of both HP and AP sensors. Large values of BEC occurred in predominantly saturated soils where VWC values reached about 0.5 m3 m−3 for saline soils and about 0.7 m3 m−3 for clay soils, while low magnitudes of BEC were associated with low soil water content and seldomly saturated soils. Low hourly BEC values of less than 0.1 S m−1 were observed in wide variety of soil types, where sensor performance was typically excellent. The most influential factor on BEC was high soil water content conditions. Although dielectric permittivity measurements in estimating the soil water content were sensitive to BEC as some high clay content and high salinity soils increased BEC, the impact of large BEC on dielectric permittivity measurements was smaller in the well‐drained top soil layers than in deep soil layers that remained near saturation. Soil temperature had only a small impact on BEC. With high clay content and high salinity, the specific area of clay minerals was also associated with the magnitude of BEC. Core Ideas: Estimated soil bulk electrical conductivity (BEC) and soil volumetric water content (VWC) at soil depths of 5, 10, 20, 50, and 100 cm were evaluated across 23 US Climate Reference Network stations.The estimation of BEC and VWC was based on the use of the 50 MHz HydraProbe and the Acclima 1 GHz time‐domain reflectometry (TDR)‐315L.The evaluation suggested that the clay type, specific surface area, clay content, soil salinity, and soil temperature combined to affect how soil BEC increased and decreased with soil water content. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Observed increase in local cooling effect of deforestation at higher latitudes.

Author

Lee, Xuhui, Goulden, Michael L, Hollinger, David Y, Barr, Alan, Black, T Andrew, Bohrer, Gil, Bracho, Rosvel, Drake, Bert, Goldstein, Allen, Gu, Lianhong, Katul, Gabriel, Kolb, Thomas, Law, Beverly E, Margolis, Hank, Meyers, Tilden, Monson, Russell, Munger, William, Oren, Ram, Paw U, Kyaw Tha, Richardson, Andrew D, Schmid, Hans Peter, Staebler, Ralf, Wofsy, Steven, and Zhao, Lei

Subjects
Trees, Altitude, Conservation of Natural Resources, Temperature, Atmosphere, Air, Climate, Seasons, Forestry, Canada, United States, Biophysical Phenomena, Biophysical Processes, General Science & Technology
Abstract

Deforestation in mid- to high latitudes is hypothesized to have the potential to cool the Earth's surface by altering biophysical processes. In climate models of continental-scale land clearing, the cooling is triggered by increases in surface albedo and is reinforced by a land albedo-sea ice feedback. This feedback is crucial in the model predictions; without it other biophysical processes may overwhelm the albedo effect to generate warming instead. Ongoing land-use activities, such as land management for climate mitigation, are occurring at local scales (hectares) presumably too small to generate the feedback, and it is not known whether the intrinsic biophysical mechanism on its own can change the surface temperature in a consistent manner. Nor has the effect of deforestation on climate been demonstrated over large areas from direct observations. Here we show that surface air temperature is lower in open land than in nearby forested land. The effect is 0.85 ± 0.44 K (mean ± one standard deviation) northwards of 45° N and 0.21 ± 0.53 K southwards. Below 35° N there is weak evidence that deforestation leads to warming. Results are based on comparisons of temperature at forested eddy covariance towers in the USA and Canada and, as a proxy for small areas of cleared land, nearby surface weather stations. Night-time temperature changes unrelated to changes in surface albedo are an important contributor to the overall cooling effect. The observed latitudinal dependence is consistent with theoretical expectation of changes in energy loss from convection and radiation across latitudes in both the daytime and night-time phase of the diurnal cycle, the latter of which remains uncertain in climate models.

Published
2011

12. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Author

Pastorello, Gilberto, Trotta, Carlo, Canfora, Eleonora, Chu, Housen, Christianson, Danielle, Cheah, You-Wei, Poindexter, Cristina, Chen, Jiquan, Elbashandy, Abdelrahman, Humphrey, Marty, Isaac, Peter, Polidori, Diego, Reichstein, Markus, Ribeca, Alessio, van Ingen, Catharine, Vuichard, Nicolas, Zhang, Leiming, Amiro, Brian, Ammann, Christof, Arain, M. Altaf, Ardö, Jonas, Arkebauer, Timothy, Arndt, Stefan K., Arriga, Nicola, Aubinet, Marc, Aurela, Mika, Baldocchi, Dennis, Barr, Alan, Beamesderfer, Eric, Marchesini, Luca Belelli, Bergeron, Onil, Beringer, Jason, Bernhofer, Christian, Berveiller, Daniel, Billesbach, Dave, Black, Thomas Andrew, Blanken, Peter D., Bohrer, Gil, Boike, Julia, Bolstad, Paul V., Bonal, Damien, Bonnefond, Jean-Marc, Bowling, David R., Bracho, Rosvel, Brodeur, Jason, Brümmer, Christian, Buchmann, Nina, Burban, Benoit, Burns, Sean P., Buysse, Pauline, Cale, Peter, Cavagna, Mauro, Cellier, Pierre, Chen, Shiping, Chini, Isaac, Christensen, Torben R., Cleverly, James, Collalti, Alessio, Consalvo, Claudia, Cook, Bruce D., Cook, David, Coursolle, Carole, Cremonese, Edoardo, Curtis, Peter S., D’Andrea, Ettore, da Rocha, Humberto, Dai, Xiaoqin, Davis, Kenneth J., Cinti, Bruno De, Grandcourt, Agnes de, Ligne, Anne De, De Oliveira, Raimundo C., Delpierre, Nicolas, Desai, Ankur R., Di Bella, Carlos Marcelo, Tommasi, Paul di, Dolman, Han, Domingo, Francisco, Dong, Gang, Dore, Sabina, Duce, Pierpaolo, Dufrêne, Eric, Dunn, Allison, Dušek, Jiří, Eamus, Derek, Eichelmann, Uwe, ElKhidir, Hatim Abdalla M., Eugster, Werner, Ewenz, Cacilia M., Ewers, Brent, Famulari, Daniela, Fares, Silvano, Feigenwinter, Iris, Feitz, Andrew, Fensholt, Rasmus, Filippa, Gianluca, Fischer, Marc, Frank, John, Galvagno, Marta, Gharun, Mana, Gianelle, Damiano, Gielen, Bert, Gioli, Beniamino, Gitelson, Anatoly, Goded, Ignacio, Goeckede, Mathias, Goldstein, Allen H., Gough, Christopher M., Goulden, Michael L., Graf, Alexander, Griebel, Anne, Gruening, Carsten, Grünwald, Thomas, Hammerle, Albin, Han, Shijie, Han, Xingguo, Hansen, Birger Ulf, Hanson, Chad, Hatakka, Juha, He, Yongtao, Hehn, Markus, Heinesch, Bernard, Hinko-Najera, Nina, Hörtnagl, Lukas, Hutley, Lindsay, Ibrom, Andreas, Ikawa, Hiroki, Jackowicz-Korczynski, Marcin, Janouš, Dalibor, Jans, Wilma, Jassal, Rachhpal, Jiang, Shicheng, Kato, Tomomichi, Khomik, Myroslava, Klatt, Janina, Knohl, Alexander, Knox, Sara, Kobayashi, Hideki, Koerber, Georgia, Kolle, Olaf, Kosugi, Yoshiko, Kotani, Ayumi, Kowalski, Andrew, Kruijt, Bart, Kurbatova, Julia, Kutsch, Werner L., Kwon, Hyojung, Launiainen, Samuli, Laurila, Tuomas, Law, Bev, Leuning, Ray, Li, Yingnian, Liddell, Michael, Limousin, Jean-Marc, Lion, Marryanna, Liska, Adam J., Lohila, Annalea, López-Ballesteros, Ana, López-Blanco, Efrén, Loubet, Benjamin, Loustau, Denis, Lucas-Moffat, Antje, Lüers, Johannes, Ma, Siyan, Macfarlane, Craig, Magliulo, Vincenzo, Maier, Regine, Mammarella, Ivan, Manca, Giovanni, Marcolla, Barbara, Margolis, Hank A., Marras, Serena, Massman, William, Mastepanov, Mikhail, Matamala, Roser, Matthes, Jaclyn Hatala, Mazzenga, Francesco, McCaughey, Harry, McHugh, Ian, McMillan, Andrew M. S., Merbold, Lutz, Meyer, Wayne, Meyers, Tilden, Miller, Scott D., Minerbi, Stefano, Moderow, Uta, Monson, Russell K., Montagnani, Leonardo, Moore, Caitlin E., Moors, Eddy, Moreaux, Virginie, Moureaux, Christine, Munger, J. William, Nakai, Taro, Neirynck, Johan, Nesic, Zoran, Nicolini, Giacomo, Noormets, Asko, Northwood, Matthew, Nosetto, Marcelo, Nouvellon, Yann, Novick, Kimberly, Oechel, Walter, Olesen, Jørgen Eivind, Ourcival, Jean-Marc, Papuga, Shirley A., Parmentier, Frans-Jan, Paul-Limoges, Eugenie, Pavelka, Marian, Peichl, Matthias, Pendall, Elise, Phillips, Richard P., Pilegaard, Kim, Pirk, Norbert, Posse, Gabriela, Powell, Thomas, Prasse, Heiko, Prober, Suzanne M., Rambal, Serge, Rannik, Üllar, Raz-Yaseef, Naama, Rebmann, Corinna, Reed, David, Dios, Victor Resco de, Restrepo-Coupe, Natalia, Reverter, Borja R., Roland, Marilyn, Sabbatini, Simone, Sachs, Torsten, Saleska, Scott R., Sánchez-Cañete, Enrique P., Sanchez-Mejia, Zulia M., Schmid, Hans Peter, Schmidt, Marius, Schneider, Karl, Schrader, Frederik, Schroder, Ivan, Scott, Russell L., Sedlák, Pavel, Serrano-Ortíz, Penélope, Shao, Changliang, Shi, Peili, Shironya, Ivan, Siebicke, Lukas, Šigut, Ladislav, Silberstein, Richard, Sirca, Costantino, Spano, Donatella, Steinbrecher, Rainer, Stevens, Robert M., Sturtevant, Cove, Suyker, Andy, Tagesson, Torbern, Takanashi, Satoru, Tang, Yanhong, Tapper, Nigel, Thom, Jonathan, Tomassucci, Michele, Tuovinen, Juha-Pekka, Urbanski, Shawn, Valentini, Riccardo, van der Molen, Michiel, van Gorsel, Eva, van Huissteden, Ko, Varlagin, Andrej, Verfaillie, Joseph, Vesala, Timo, Vincke, Caroline, Vitale, Domenico, Vygodskaya, Natalia, Walker, Jeffrey P., Walter-Shea, Elizabeth, Wang, Huimin, Weber, Robin, Westermann, Sebastian, Wille, Christian, Wofsy, Steven, Wohlfahrt, Georg, Wolf, Sebastian, Woodgate, William, Li, Yuelin, Zampedri, Roberto, Zhang, Junhui, Zhou, Guoyi, Zona, Donatella, Agarwal, Deb, Biraud, Sebastien, Torn, Margaret, and Papale, Dario

Published
2020
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13. An analysis of soil moisture dynamics using multi-year data from a network of micrometeorological observation sites

Author

Miller, Gretchen R., Baldocchi, Dennis D., Law, Beverly E., and Meyers, Tilden

Subjects
soil-plant-atmosphere models, soil moisture, AmeriFlux, ecohydrology, water stress, water balance, vadose zone, evapotranspiration
Abstract

Soil moisture data, obtained from four AmeriFlux sites in the US, were examined using an ecohydrological framework. Sites were selected for the analysis to provide a range of plant functional type, climate, soil particle size distribution, and time series of data spanning a minimum of two growing seasons. Soil moisture trends revealed the importance of measuring water content at several depths throughout the rooting zone; soil moisture at the surface (0-10 cm) was approximately 20-30%) less than that at 50-60 cm. A modified soil moisture dynamics model was used to generate soil moisture probability density functions at. each site. Model calibration results demonstrated that the commonly used soil matric potential values for finding the vegetation stress point and field content may not be appropriate, particularly for vegetation adapted to a water-controlled environment. Projections of future soil moisture patterns suggest that two of the four sites will become severely stressed by climate change induced alterations to the precipitation regime. (C) 2006 Elsevier Ltd. All rights reserved.

Published
2007

14. U.S. Contributions to the CEOP

Author

Lawford, Richard, Bosilovich, Mike, Eden, Susanna, Benedict, Sam, Brown, Constance, Gruber, Arnold, Houser, Paul, Hsu, Kuolin, Huang, Jin, Lau, William, Meyers, Tilden, Mitchell, Kenneth, Peters-Lidard, Christa, Roads, John, Rodell, Matt, Sorooshian, Soroosh, Tarpley, Dan, and Williams, Steve

Subjects
Astronomical and Space Sciences, Atmospheric Sciences, Physical Geography and Environmental Geoscience, Meteorology & Atmospheric Sciences
Abstract

The Coordinated Enhanced Observing Period (CEOP) is an international project that was first proposed by the Global Energy and water Cycle Experiment (GEWEX) in 1997 and was formally launched in 2001. Since that time it has been adopted by the World Climate Research Programme (WCRP), which views it as an essential parts of its strategy for developing global datasets to evaluate global climate models, and by the Integrated Global Observing Strategy Partnership (IGOS-P), which views it as the first element of its global water cycle theme. The United States has been an active partner in all phases of CEOP. In particular, the United States has taken the lead in contributinh data from a number of reference sites, providing data processing, and archiving capabilities and related research activities through the GEWEX Americas Prediction Project (GAPP). Other U.S. programs and agencies are providing components including model and data assimilation output, satelite data, and other services. The U.S. science community has also been using the CEOP database in model evaluation and phenomenological studies. This article summarizes the U.S. contributions during the first phase of CEOP and outlines opportunities for readers to become involved in the data analysis phase of the project.

Published
2006

15. Impact of Seasonal Snow‐Cover Change on the Observed and Simulated State of the Atmospheric Boundary Layer in a High‐Altitude Mountain Valley

Author

Adler, Bianca, primary, Wilczak, James M., additional, Bianco, Laura, additional, Bariteau, Ludovic, additional, Cox, Christopher J., additional, de Boer, Gijs, additional, Djalalova, Irina V., additional, Gallagher, Michael R., additional, Intrieri, Janet M., additional, Meyers, Tilden P., additional, Myers, Timothy A., additional, Olson, Joseph B., additional, Pezoa, Sergio, additional, Sedlar, Joseph, additional, Smith, Elizabeth, additional, Turner, David D., additional, and White, Allen B., additional

Published
2023
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19. A new reference-quality precipitation gauge wind shield

Author

Kochendorfer, John, Meyers, Tilden P., Hall, Mark E., Landolt, Scott D., and Diamond, Howard J.

Abstract

Gauge-based precipitation measurements suffer from undercatch due to the effects of wind, with solid precipitation measurements especially susceptible to such errors. When it is snowing and windy, unshielded precipitation gauges can catch less than half of the amount of precipitation of a gauge that is protected from the wind. For this reason, the US Climate Reference Network (USCRN) developed a large, double layer, wooden wind shield called the Small Double Fence Intercomparison Reference (SDFIR). In past studies, the SDFIR has been demonstrated to be the most effective wind shield in use in any weather or climate network, reducing solid precipitation undercatch to less than 10 % in wind speeds up to 8 m s−1. However, the wooden SDFIRs are subject to decay, they are difficult to replace and maintain, and they hinder access to maintaining the gauge. For these reasons, a new precipitation gauge wind shield called the Low Porosity Double Fence (LPDF) has been developed for use in the USCRN. Tested at three separate sites chosen for prevalent windy and snowy weather, the precipitation measurements recorded within the LPDF compared well to the SDFIR. After more than two years of measurements, the total precipitation recorded by the LPDF at each individual site differed by ± 1.2 %, and the total LPDF accumulation from all sites was 0.03 % greater than the SDFIR accumulation. For the measurement of solid precipitation, the LPDF-shielded measurements were statistically indistinguishable from the SDFIR, and the time series of accumulation from precipitation gauges shielded by the SDFIR and the LPDF were almost identical. This new wind shield is much smaller and easier to install and maintain than any other reference-quality wind shield for the measurement of solid precipitation, and may be of use within other meteorological, hydrological, and climate networks. It could also serve as a secondary reference precipitation measurement for precipitation intercomparisons held in remote locations where the construction of a full-sized Double Fence Intercomparison Reference (DFIR) shield is not feasible.

Published
2023
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22. On the Efficacy of Monin–Obukhov and Bulk Richardson Surface-Layer Parameterizations over Drylands.

Author

Lee, Temple R., Pal, Sandip, Krishnan, Praveena, Hirth, Brian, Heuer, Mark, Meyers, Tilden P., Saylor, Rick D., and Schroeder, John

Subjects
PARAMETERIZATION, SURFACE of the earth, FRICTION velocity, ATMOSPHERIC models, WIND speed
Abstract

Surface-layer parameterizations for heat, mass, momentum, and turbulence exchange are a critical component of the land surface models (LSMs) used in weather prediction and climate models. Although formulations derived from Monin–Obukhov similarity theory (MOST) have long been used, bulk Richardson (Rib) parameterizations have recently been suggested as a MOST alternative but have been evaluated over a limited number of land-cover and climate types. Examining the parameterizations' applicability over other regions, particularly drylands that cover approximately 41% of terrestrial land surfaces, is a critical step toward implementing the parameterizations into LSMs. One year (1 January–31 December 2018) of eddy covariance measurements from a 10-m tower in southeastern Arizona and a 200-m tower in western Texas were used to determine how well the Rib parameterizations for friction velocity ( u * ), sensible heat flux (H), and turbulent kinetic energy (TKE) compare against MOST-derived parameterizations of these quantities. Independent of stability, wind speed regime, and season, the Rib u * and TKE parameterizations performed better than the MOST parameterizations, whereas MOST better represented H. Observations from the 200-m tower indicated that the parameterizations' performance degraded as a function of height above ground. Overall, the Rib parameterizations revealed promising results, confirming better performance than traditional MOST relationships for kinematic (i.e., u * ) and turbulence (i.e., TKE) quantities, although caution is needed when applying the RibH parameterizations to drylands. These findings represent an important milestone for the applicability of Rib parameterizations, given the large fraction of Earth's surface covered by drylands. Significance Statement: Weather forecasting models rely upon complex mathematical relationships to predict temperature, wind, and moisture. Monin–Obukhov similarity theory (MOST) has long been used to forecast these quantities near the land surface, even though MOST's limitations are well known in the scientific community. Researchers have suggested an alternative to MOST called the bulk Richardson (Rib) approach. To allow for the Rib approach to be used in weather forecasting models, the approach needs to be tested over different land-cover and climate types. In this study, we applied the Rib approach to dry areas of the United States and found that the approach better represented turbulence variables than MOST relationships. These findings are an important step toward using Rib relationships in weather forecasting models. [ABSTRACT FROM AUTHOR]

Published
2023
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23. CO2 uptake and ecophysiological parameters of the grain crops of midcontinent North America: Estimates from flux tower measurements

Author

Gilmanov, Tagir G., Wylie, Bruce K., Tieszen, Larry L., Meyers, Tilden P., Baron, Vern S., Bernacchi, Carl J., Billesbach, David P., Burba, George G., Fischer, Marc L., Glenn, Aaron J., Hanan, Niall P., Hatfield, Jerry L., Heuer, Mark W., Hollinger, Steven E., Howard, Daniel M., Matamala, Roser, Prueger, John H., Tenuta, Mario, and Young, David G.

Published
2013
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28. NOAA Air Resources Laboratory Atmospheric Turbulence and Diffusion Division’s Measurements of Temperature, Humidity and Wind using Small Uncrewed Aircraft Systems to Support Short-Term Weather Forecasting Needs over Complex Terrain

Author

Lee, Temple R., Schuyler, Travis J., Buban, Michael, Dumas, Edward J., Meyers, Tilden P., and Baker, C. Bruce

Abstract

Small uncrewed aircraft systems (sUxS) are now being routinely used not only for sampling atmospheric boundary layer (ABL) processes and land-atmosphere interactions but also have significant potential to improve weather forecasting at National Weather Service (NWS) Weather Forecast Offices (WFOs). In the present study, we used observations obtained from a Meteomatics Meteodrone SSE sUxS flown on 31 days between 20 August and 10 December 2020 near Oliver Springs, Tennessee, located 35 km northwest of Knoxville, Tennessee. We flew the sUxS up to 700 m above ground level, starting around sunrise and continuing every half hour until 3.5–4.0 hours past sunrise under synoptically quiescent, fair weather conditions. These datasets were provided in real time to the local NWS WFO in Morristown, Tennessee and used by forecasters there to assist with short-term operational forecasting needs. The sUxS profiles also provided finescale details on the early-morning transition over complex terrain and how this evolution varied during the late summer to winter period, which can be used to support the initialization of numerical weather prediction models.

Published
2022
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30. Assessing net ecosystem carbon exchange of U.S. terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations

Author

Xiao, Jingfeng, Zhuang, Qianlai, Law, Beverly E., Baldocchi, Dennis D., Chen, Jiquan, Richardson, Andrew D., Melillo, Jerry M., Davis, Kenneth J., Hollinger, David Y., Wharton, Sonia, Oren, Ram, Noormets, Asko, Fischer, Marc L., Verma, Shashi B., Cook, David R., Sun, Ge, McNulty, Steve, Wofsy, Steven C., Bolstad, Paul V., Burns, Sean P., Curtis, Peter S., Drake, Bert G., Falk, Matthias, Foster, David R., Gu, Lianhong, Hadley, Julian L., Katul, Gabriel G., Litvak, Marcy, Ma, Siyan, Martin, Timothy A., Matamala, Roser, Meyers, Tilden P., Monson, Russell K., Munger, J. William, Oechel, Walter C., Paw, U. Kyaw Tha, Schmid, Hans Peter, Scott, Russell L., Starr, Gregory, Suyker, Andrew E., and Torn, Margaret S.

Published
2011
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33. A continuous measure of gross primary production for the conterminous United States derived from MODIS and AmeriFlux data

Author

Xiao, Jingfeng, Zhuang, Qianlai, Law, Beverly E., Chen, Jiquan, Baldocchi, Dennis D., Cook, David R., Oren, Ram, Richardson, Andrew D., Wharton, Sonia, Ma, Siyan, Martin, Timothy A., Verma, Shashi B., Suyker, Andrew E., Scott, Russell L., Monson, Russell K., Litvak, Marcy, Hollinger, David Y., Sun, Ge, Davis, Kenneth J., Bolstad, Paul V., Burns, Sean P., Curtis, Peter S., Drake, Bert G., Falk, Matthias, Fischer, Marc L., Foster, David R., Gu, Lianhong, Hadley, Julian L., Katul, Gabriel G., Matamala, Roser, McNulty, Steve, Meyers, Tilden P., Munger, J. William, Noormets, Asko, Oechel, Walter C., Paw U, Kyaw Tha, Schmid, Hans Peter, Starr, Gregory, Torn, Margaret S., and Wofsy, Steven C.

Published
2010
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34. The MODIS (Collection V005) BRDF/albedo product: Assessment of spatial representativeness over forested landscapes

Author

Román, Miguel O., Schaaf, Crystal B., Woodcock, Curtis E., Strahler, Alan H., Yang, Xiaoyuan, Braswell, Rob H., Curtis, Peter S., Davis, Kenneth J., Dragoni, Danilo, Goulden, Michael L., Gu, Lianhong, Hollinger, David Y., Kolb, Thomas E., Meyers, Tilden P., Munger, J. William, Privette, Jeffrey L., Richardson, Andrew D., Wilson, Tim B., and Wofsy, Steven C.

Published
2009
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37. Air—Surface Exchange in CHEESEHEAD19: Food for Machine Learning To Scale Energy Fluxes

Author

Butterworth, Brian J., primary, Desai, Ankur R., additional, Metzger, Stefan, additional, Townsend, Philip A., additional, Schwartz, Mark D., additional, Petty, Grant W., additional, Mauder, Matthias, additional, Vogelmann, Hannes, additional, Andresen, Christian G., additional, Augustine, Travis J., additional, Bertram, Timothy H., additional, Brown, William O.J., additional, Buban, Michael, additional, Cleary, Patricia, additional, Durden, David J., additional, Florian, Christopher R., additional, Iglinski, Trevor J., additional, Kruger, Eric L., additional, Lantz, Kathleen, additional, Lee, Temple R., additional, Meyers, Tilden P., additional, Mineau, James K., additional, Olson, Erik R., additional, Oncley, Steven P., additional, Paleri, Sreenath, additional, Pertzborn, Rosalyn A., additional, Pettersen, Claire, additional, Plummer, David M., additional, Riihimaki, Laura D., additional, Ruiz Guzman, Eliceo, additional, Sedlar, Joseph, additional, Smith, Elizabeth N., additional, Speidel, Johannes, additional, Stoy, Paul C., additional, Sühring, Matthias, additional, Thom, Jonathan E., additional, Turner, David D., additional, Vermeuel, Michael P., additional, Wagner, Timothy J., additional, Wang, Zhien, additional, Wanner, Luise, additional, White, Loren D., additional, Wilczak, James M., additional, Wright, Daniel B., additional, and Zheng, Ting, additional

Published
2021
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41. Estimation of net ecosystem carbon exchange for the conterminous United States by combining MODIS and AmeriFlux data

Author

Xiao, Jingfeng, Zhuang, Qianlai, Baldocchi, Dennis D., Law, Beverly E., Richardson, Andrew D., Chen, Jiquan, Oren, Ram, Starr, Gregory, Noormets, Asko, Ma, Siyan, Verma, Shashi B., Wharton, Sonia, Wofsy, Steven C., Bolstad, Paul V., Burns, Sean P., Cook, David R., Curtis, Peter S., Drake, Bert G., Falk, Matthias, Fischer, Marc L., Foster, David R., Gu, Lianhong, Hadley, Julian L., Hollinger, David Y., Katul, Gabriel G., Litvak, Marcy, Martin, Timothy A., Matamala, Roser, McNulty, Steve, Meyers, Tilden P., Monson, Russell K., Munger, J. William, Oechel, Walter C., Paw U, Kyaw Tha, Schmid, Hans Peter, Scott, Russell L., Sun, Ge, Suyker, Andrew E., and Torn, Margaret S.

Published
2008
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43. Dynamic global vegetation models underestimate net CO2 flux mean and inter-annual variability in dryland ecosystems

Author

MacBean, Natasha, primary, Scott, Russell L, additional, Biederman, Joel A, additional, Peylin, Philippe, additional, Kolb, Thomas, additional, Litvak, Marcy E, additional, Krishnan, Praveena, additional, Meyers, Tilden P, additional, Arora, Vivek K, additional, Bastrikov, Vladislav, additional, Goll, Daniel, additional, Lombardozzi, Danica L, additional, Nabel, Julia E M S, additional, Pongratz, Julia, additional, Sitch, Stephen, additional, Walker, Anthony P, additional, Zaehle, Sönke, additional, and Moore, David J P, additional

Published
2021
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50. Connecting Land-Atmosphere Interactions to Surface Heterogeneity in CHEESEHEAD 2019

Author

Butterworth, Brian J., primary, Desai, Ankur R., additional, Metzger, Stefan, additional, Townsend, Philip A., additional, Schwartz, Mark D., additional, Petty, Grant W., additional, Mauder, Matthias, additional, Vogelmann, Hannes, additional, Andresen, Christian G., additional, Augustine, Travis J., additional, Bertram, Timothy H., additional, Brown, William O.J., additional, Buban, Michael, additional, Cleary, Patricia, additional, Durden, David J., additional, Florian, Christopher R., additional, Ruiz Guzman, Eliceo, additional, Iglinski, Trevor J., additional, Kruger, Eric L., additional, Lantz, Kathleen, additional, Lee, Temple R., additional, Meyers, Tilden P., additional, Mineau, James K., additional, Olson, Erik R., additional, Oncley, Steven P., additional, Paleri, Sreenath, additional, Pertzborn, Rosalyn A., additional, Pettersen, Claire, additional, Plummer, David M., additional, Riihimaki, Laura, additional, Sedlar, Joseph, additional, Smith, Elizabeth N., additional, Speidel, Johannes, additional, Stoy, Paul C., additional, Sühring, Matthias, additional, Thom, Jonathan E., additional, Turner, David D., additional, Vermeuel, Michael P., additional, Wagner, Timothy J., additional, Wang, Zhien, additional, Wanner, Luise, additional, White, Loren D., additional, Wilczak, James M., additional, Wright, Daniel B., additional, and Zheng, Ting, additional

Published
2020
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