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  1. Article ; Online: Implementation and Evaluation of a Unified Turbulence Parameterization Throughout the Canopy and Roughness Sublayer in Noah‐MP Snow Simulations

    Ronnie Abolafia‐Rosenzweig / Cenlin He / Sean P. Burns / Fei Chen

    Journal of Advances in Modeling Earth Systems, Vol 13, Iss 11, Pp n/a-n/a (2021)

    2021  

    Abstract: Abstract The Noah‐MP land surface model (LSM) relies on the Monin‐Obukhov (M‐O) Similarity Theory (MOST) to calculate land‐atmosphere exchanges of water, energy, and momentum fluxes. However, MOST flux‐profile relationships neglect canopy‐induced ... ...

    Abstract Abstract The Noah‐MP land surface model (LSM) relies on the Monin‐Obukhov (M‐O) Similarity Theory (MOST) to calculate land‐atmosphere exchanges of water, energy, and momentum fluxes. However, MOST flux‐profile relationships neglect canopy‐induced turbulence in the roughness sublayer (RSL) and parameterize within‐canopy turbulence in an ad hoc manner. We implement a new physics scheme (M‐O‐RSL) into Noah‐MP that explicitly parameterizes turbulence in RSL. We compare Noah‐MP simulations employing the M‐O‐RSL scheme (M‐O‐RSL simulations) and the default M‐O scheme (M‐O simulations) against observations obtained from 647 Snow Telemetry (SNOTEL) stations and two AmeriFlux stations in the western United States. M‐O‐RSL simulations of snow water equivalent (SWE) outperform M‐O simulations over 64% and 69% of SNOTEL sites in terms of root‐mean‐square‐error (RMSE) and correlation, respectively. The largest improvements in skill for M‐O‐RSL occur over closed shrubland sites, and the largest degradations in skill occur over deciduous broadleaf forest sites. Differences between M‐O and M‐O‐RSL simulated snowpack are primarily attributable to differences in aerodynamic conductance for heat underneath the canopy top, which modulates sensible heat flux. Differences between M‐O and M‐O‐RSL within‐canopy and below‐canopy sensible heat fluxes affect the amount of heat transported into snowpack and hence change snowmelt when temperatures are close to or above the melting point. The surface energy budget analysis over two AmeriFlux stations shows that differences between M‐O and M‐O‐RSL simulations can be smaller than other model biases (e.g., surface albedo). We intend for the M‐O‐RSL physics scheme to improve performance and uncertainty estimates in weather and hydrological applications that rely on Noah‐MP.
    Keywords land surface model ; Noah‐MP ; roughness sublayer ; Snow ; SNOTEL ; AmeriFlux ; Physical geography ; GB3-5030 ; Oceanography ; GC1-1581
    Subject code 551
    Language English
    Publishing date 2021-11-01T00:00:00Z
    Publisher American Geophysical Union (AGU)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: The Impact of Biomass Heat Storage on the Canopy Energy Balance and Atmospheric Stability in the Community Land Model

    Sean C. Swenson / Sean P. Burns / David M. Lawrence

    Journal of Advances in Modeling Earth Systems, Vol 11, Iss 1, Pp 83-

    2019  Volume 98

    Abstract: Abstract Atmospheric models used for weather prediction and future climate projections rely on land models to calculate surface boundary conditions. Observations of near‐surface states and fluxes made at flux measurement sites provide valuable data with ... ...

    Abstract Abstract Atmospheric models used for weather prediction and future climate projections rely on land models to calculate surface boundary conditions. Observations of near‐surface states and fluxes made at flux measurement sites provide valuable data with which to assess the quality of simulated lower boundary conditions. A previous assessment of the Community Land Model version 4.5 using data from the Niwot Ridge Subalpine Forest AmeriFlux tower showed that simulated latent heat fluxes could be improved by adjusting a parameter describing the maximum leaf wetted area, but biases in midday sensible heat flux and nighttime momentum flux were generally not reduced by model parameter perturbations. These biases are related to the model's lack of heat storage in vegetation biomass. A biomass heat capacity is parameterized in Community Land Model version 5 with measurable quantities such as canopy height, diameter at breast height, and tree number density. After implementing a parameterization describing the heat transfer between the forest biomass and the canopy air space, the biases in the mean midday sensible heat and mean nighttime momentum fluxes at Niwot Ridge are reduced from 47 to 13 W/m2 and from 0.12 to −0.03 m/s, respectively. The bias in the mean nighttime canopy air temperature was reduced from −5.9 to 0.4 °C. Additional simulations at other flux tower sites demonstrate a consistent reduction in midday sensible heat flux, a lower ratio of the sum of sensible and latent heat flux to net radiation, and an increase in nighttime canopy temperatures.
    Keywords biomass heat storage ; community land model ; atmospheric stability ; surface energy balance ; eddy covariance ; surface fluxes ; Physical geography ; GB3-5030 ; Oceanography ; GC1-1581
    Subject code 551
    Language English
    Publishing date 2019-01-01T00:00:00Z
    Publisher American Geophysical Union (AGU)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Climate controls over ecosystem metabolism: insights from a fifteen-year inductive artificial neural network synthesis for a subalpine forest

    Albert, Loren P / Russell K. Monson / Sean P. Burns / Travis E. Huxman / Trevor F. Keenan

    Oecologia. 2017 May, v. 184, no. 1

    2017  

    Abstract: Eddy covariance (EC) datasets have provided insight into climate determinants of net ecosystem productivity (NEP) and evapotranspiration (ET) in natural ecosystems for decades, but most EC studies were published in serial fashion such that one study’s ... ...

    Abstract Eddy covariance (EC) datasets have provided insight into climate determinants of net ecosystem productivity (NEP) and evapotranspiration (ET) in natural ecosystems for decades, but most EC studies were published in serial fashion such that one study’s result became the following study’s hypothesis. This approach reflects the hypothetico-deductive process by focusing on previously derived hypotheses. A synthesis of this type of sequential inference reiterates subjective biases and may amplify past assumptions about the role, and relative importance, of controls over ecosystem metabolism. Long-term EC datasets facilitate an alternative approach to synthesis: the use of inductive data-based analyses to re-examine past deductive studies of the same ecosystem. Here we examined the seasonal climate determinants of NEP and ET by analyzing a 15-year EC time-series from a subalpine forest using an ensemble of Artificial Neural Networks (ANNs) at the half-day (daytime/nighttime) time-step. We extracted relative rankings of climate drivers and driver–response relationships directly from the dataset with minimal a priori assumptions. The ANN analysis revealed temperature variables as primary climate drivers of NEP and daytime ET, when all seasons are considered, consistent with the assembly of past studies. New relations uncovered by the ANN approach include the role of soil moisture in driving daytime NEP during the snowmelt period, the nonlinear response of NEP to temperature across seasons, and the low relevance of summer rainfall for NEP or ET at the same daytime/nighttime time step. These new results offer a more complete perspective of climate–ecosystem interactions at this site than traditional deductive analyses alone.
    Keywords climatic factors ; data collection ; ecosystems ; eddy covariance ; evapotranspiration ; metabolism ; net ecosystem production ; neural networks ; rain ; snowmelt ; soil water ; summer ; temperature ; time series analysis
    Language English
    Dates of publication 2017-05
    Size p. 25-41.
    Publishing place Springer Berlin Heidelberg
    Document type Article
    Note Review
    ZDB-ID 123369-5
    ISSN 1432-1939 ; 0029-8549
    ISSN (online) 1432-1939
    ISSN 0029-8549
    DOI 10.1007/s00442-017-3853-0
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: Assessing the interplay between canopy energy balance and photosynthesis with cellulose δ18O: large-scale patterns and independent ground-truthing

    Helliker, Brent R / Ankur Desai / Asko Noormets / David Hollinger / Dennis Baldocchi / Eugenie Euskirchenn / J. William Munger / Jiquan Chen / Kenneth Clark / Michael L. Goulden / Paul Bolstad / Sean P. Burns / Steve Wofsy / Timothy Martin / Xin Song

    Oecologia. 2018 Aug., v. 187, no. 4

    2018  

    Abstract: There are few whole-canopy or ecosystem scale assessments of the interplay between canopy temperature and photosynthesis across both spatial and temporal scales. The stable oxygen isotope ratio (δ18O) of plant cellulose can be used to resolve a ... ...

    Abstract There are few whole-canopy or ecosystem scale assessments of the interplay between canopy temperature and photosynthesis across both spatial and temporal scales. The stable oxygen isotope ratio (δ18O) of plant cellulose can be used to resolve a photosynthesis-weighted estimate of canopy temperature, but the method requires independent confirmation. We compare isotope-resolved canopy temperatures derived from multi-year homogenization of tree cellulose δ18O to canopy-air temperatures weighted by gross primary productivity (GPP) at multiple sites, ranging from warm temperate to boreal and subalpine forests. We also perform a sensitivity analysis for isotope-resolved canopy temperatures that showed errors in plant source water δ18O lead to the largest errors in canopy temperature estimation. The relationship between isotope-resolved canopy temperatures and GPP-weighted air temperatures was highly significant across sites (p < 0.0001, R2 = 0.82), thus offering confirmation of the isotope approach. The previously observed temperature invariance from temperate to boreal biomes was confirmed, but the greater elevation of canopy temperature above air temperature in the boreal forest was not. Based on the current analysis, we conclude that canopy temperatures in the boreal forest are as warm as those in temperate systems because day-time-growing-season air temperatures are similarly warm.
    Keywords air temperature ; boreal forests ; canopy ; cellulose ; ecosystems ; energy balance ; homogenization ; oxygen ; photosynthesis ; primary productivity ; stable isotopes ; subalpine forests ; trees
    Language English
    Dates of publication 2018-08
    Size p. 995-1007.
    Publishing place Springer Berlin Heidelberg
    Document type Article
    ZDB-ID 123369-5
    ISSN 1432-1939 ; 0029-8549
    ISSN (online) 1432-1939
    ISSN 0029-8549
    DOI 10.1007/s00442-018-4198-z
    Database NAL-Catalogue (AGRICOLA)

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  5. Article: Limitations to winter and spring photosynthesis of a Rocky Mountain subalpine forest

    Bowling, David R / Barry A. Logan / Koen Hufkens / Donald M. Aubrecht / Andrew D. Richardson / Sean P. Burns / William R.L. Anderegg / Peter D. Blanken / David P. Eiriksson

    Agricultural and forest meteorology. 2018 Apr. 15, v. 252

    2018  

    Abstract: Temperate and boreal conifer forests are dormant for many months during the cold season. Climate change is altering the winter environment, with increased temperature, altered precipitation, and earlier snowmelt in many locations. If significant enough, ... ...

    Abstract Temperate and boreal conifer forests are dormant for many months during the cold season. Climate change is altering the winter environment, with increased temperature, altered precipitation, and earlier snowmelt in many locations. If significant enough, these changes may alter patterns of dormancy and activity of evergreens. Here we studied the factors limiting photosynthetic activity of a high-elevation subalpine forest that has undergone substantial warming in recent decades. We tested the hypothesis that this warming has been significant enough to allow photosynthesis during sunny warm days in winter. Using thermal imagery, we found that foliage in winter was sometimes near the temperature optimum for photosynthesis, but no net carbon gain occurred for most of the cold season. Water transport was limited by blockage of sap transport by frozen boles, but not by frozen soils. Foliar carotenoid content was much higher during winter, driven largely by increases in the pool size of the photoprotective xanthophyll cycle. There was no seasonal change in chlorophyll or lutein content. Net carbon uptake began only as boles thawed, with no difference in timing among tree species, and the spring increase in canopy-level photosynthetic capacity occurred before sap transport was detected. The seasonality of gross primary productivity (GPP) was strongly linked to seasonality of xanthophyll cycle deepoxidation state in all species. Seasonality of GPP was detectable with two metrics of canopy color – the Green Chromatic Coordinate and Green-Red Vegetation Index (a proxy for the newly proposed MODIS-based chlorophyll/carotenoid index or CCI). Both indices were significantly correlated with GPP. Together these results indicate the potential for airborne or near-surface remote sensing of leaf color to serve as a metric of photosynthetic activity in evergreen forests, and to monitor physiological changes associated with the progression in and out of winter dormancy.
    Keywords canopy ; carbon ; chlorophyll ; climate change ; cold season ; color ; coniferous forests ; dormancy ; evergreen forests ; frozen soils ; leaves ; lutein ; photosynthesis ; primary productivity ; remote sensing ; sap ; seasonal variation ; snowmelt ; spring ; temperature ; tree trunk ; trees ; vegetation index ; winter
    Language English
    Dates of publication 2018-0415
    Size p. 241-255.
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 409905-9
    ISSN 0168-1923
    ISSN 0168-1923
    DOI 10.1016/j.agrformet.2018.01.025
    Database NAL-Catalogue (AGRICOLA)

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  6. Article: Greenness indices from digital cameras predict the timing and seasonal dynamics of canopy‐scale photosynthesis

    Toomey, Michael / Andrew D. Richardson / Carl J. Bernacchi / Carole Coursolle / David Y. Hollinger / Dennis D. Baldocchi / Edward Brzostek / Gil Bohrer / Hank A. Margolis / Harry McCaughey / J. William Munger / Koen Hufkens / Marcelo Zeri / Margaret S. Torn / Mark A. Friedl / Oliver Sonnentag / Richard P. Phillips / Russell K. Monson / Sean P. Burns /
    Sebastien C. Biraud / Sonia Wharton / Stephen Klosterman / Stephen Pallardy / Steve Frolking

    Ecological applications. 2015 Jan., v. 25, no. 1

    2015  

    Abstract: The proliferation of digital cameras co‐located with eddy covariance instrumentation provides new opportunities to better understand the relationship between canopy phenology and the seasonality of canopy photosynthesis. In this paper we analyze the ... ...

    Abstract The proliferation of digital cameras co‐located with eddy covariance instrumentation provides new opportunities to better understand the relationship between canopy phenology and the seasonality of canopy photosynthesis. In this paper we analyze the abilities and limitations of canopy color metrics measured by digital repeat photography to track seasonal canopy development and photosynthesis, determine phenological transition dates, and estimate intra‐annual and interannual variability in canopy photosynthesis. We used 59 site‐years of camera imagery and net ecosystem exchange measurements from 17 towers spanning three plant functional types (deciduous broadleaf forest, evergreen needleleaf forest, and grassland/crops) to derive color indices and estimate gross primary productivity (GPP). GPP was strongly correlated with greenness derived from camera imagery in all three plant functional types. Specifically, the beginning of the photosynthetic period in deciduous broadleaf forest and grassland/crops and the end of the photosynthetic period in grassland/crops were both correlated with changes in greenness; changes in redness were correlated with the end of the photosynthetic period in deciduous broadleaf forest. However, it was not possible to accurately identify the beginning or ending of the photosynthetic period using camera greenness in evergreen needleleaf forest. At deciduous broadleaf sites, anomalies in integrated greenness and total GPP were significantly correlated up to 60 days after the mean onset date for the start of spring. More generally, results from this work demonstrate that digital repeat photography can be used to quantify both the duration of the photosynthetically active period as well as total GPP in deciduous broadleaf forest and grassland/crops, but that new and different approaches are required before comparable results can be achieved in evergreen needleleaf forest.
    Keywords cameras ; canopy ; color ; crops ; deciduous forests ; eddy covariance ; grasslands ; instrumentation ; net ecosystem exchange ; phenology ; photography ; photosynthesis ; primary productivity ; spring
    Language English
    Dates of publication 2015-01
    Size p. 99-115.
    Publishing place Ecological Society of America
    Document type Article
    Note JOURNAL ARTICLE
    ZDB-ID 1074505-1
    ISSN 1939-5582 ; 1051-0761
    ISSN (online) 1939-5582
    ISSN 1051-0761
    DOI 10.1890/14-0005.1
    Database NAL-Catalogue (AGRICOLA)

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  7. Article: The contribution of advective fluxes to net ecosystem exchange in a high‐elevation, subalpine forest

    Yi, Chuixiang / Dean E. Anderson / Andrew A. Turnipseed / Sean P. Burns / Jed P. Sparks / David I. Stannard / Russell K. Monson

    Ecological applications. 2008 Sept., v. 18, no. 6

    2008  

    Abstract: The eddy covariance technique, which is used in the determination of net ecosystem CO₂ exchange (NEE), is subject to significant errors when advection that carries CO₂ in the mean flow is ignored. We measured horizontal and vertical advective CO₂ ... ...

    Abstract The eddy covariance technique, which is used in the determination of net ecosystem CO₂ exchange (NEE), is subject to significant errors when advection that carries CO₂ in the mean flow is ignored. We measured horizontal and vertical advective CO₂ fluxes at the Niwot Ridge AmeriFlux site (Colorado, USA) using a measurement approach consisting of multiple towers. We observed relatively high rates of both horizontal (Fₕₐdᵥ) and vertical (Fᵥₐdᵥ) advective fluxes at low surface friction velocities (u*) which were associated with downslope katabatic flows. We observed that Fₕₐdᵥ was confined to a relatively thin layer (0–6 m thick) of subcanopy air that flowed beneath the eddy covariance sensors principally at night, carrying with it respired CO₂ from the soil and lower parts of the canopy. The observed Fᵥₐdᵥ came from above the canopy and was presumably due to the convergence of drainage flows at the tower site. The magnitudes of both Fₕₐdᵥ and Fᵥₐdᵥ were similar, of opposite sign, and increased with decreasing u*, meaning that they most affected estimates of the total CO₂ flux on calm nights with low wind speeds. The mathematical sign, temporal variation and dependence on u* of both Fₕₐdᵥ and Fᵥₐdᵥ were determined by the unique terrain of the Niwot Ridge site. Therefore, the patterns we observed may not be broadly applicable to other sites. We evaluated the influence of advection on the cumulative annual and monthly estimates of the total CO₂ flux (Fc), which is often used as an estimate of NEE, over six years using the dependence of Fₕₐdᵥ and Fᵥₐdᵥ on u*. When the sum of Fₕₐdᵥ and Fᵥₐdᵥ was used to correct monthly Fc, we observed values that were different from the monthly Fc calculated using the traditional u*‐filter correction by −16 to 20 g C·m⁻²·mo⁻¹; the mean percentage difference in monthly Fc for these two methods over the six‐year period was 10%. When the sum of Fₕₐdᵥ and Fᵥₐdᵥ was used to correct annual Fc, we observed a 65% difference compared to the traditional u*‐filter approach. Thus, the errors to the local CO₂ budget, when Fₕₐdᵥ and Fᵥₐdᵥ are ignored, can become large when compounded in cumulative fashion over long time intervals. We conclude that the “micrometeorological” (using observations of Fₕₐdᵥ and Fᵥₐdᵥ) and “biological” (using the u* filter and temperature vs. Fc relationship) corrections differ on the basis of fundamental mechanistic grounds. The micrometeorological correction is based on aerodynamic mechanisms and shows no correlation to drivers of biological activity. Conversely, the biological correction is based on climatic responses of organisms and has no physical connection to aerodynamic processes. In those cases where they impose corrections of similar magnitude on the cumulative Fc sum, the result is due to a serendipitous similarity in scale but has no clear mechanistic explanation.
    Keywords montane forests ; altitude ; carbon dioxide ; gas exchange ; atmospheric circulation ; accuracy ; spatial variation ; wind speed ; wind ; overstory ; diurnal variation ; soil respiration ; cell respiration ; simulation models ; mathematical models ; topography ; temporal variation ; meteorology and climatology ; air temperature ; net ecosystem exchange ; Colorado
    Language English
    Dates of publication 2008-09
    Size p. 1379-1390.
    Publishing place Ecological Society of America
    Document type Article
    Note JOURNAL ARTICLE
    ZDB-ID 1074505-1
    ISSN 1939-5582 ; 1051-0761
    ISSN (online) 1939-5582
    ISSN 1051-0761
    DOI 10.1890/06-0908.1
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: The Community Land Model Version 5

    David M. Lawrence / Rosie A. Fisher / Charles D. Koven / Keith W. Oleson / Sean C. Swenson / Gordon Bonan / Nathan Collier / Bardan Ghimire / Leo vanKampenhout / Daniel Kennedy / Erik Kluzek / Peter J. Lawrence / Fang Li / Hongyi Li / Danica Lombardozzi / William J. Riley / William J. Sacks / Mingjie Shi / Mariana Vertenstein /
    William R. Wieder / Chonggang Xu / Ashehad A. Ali / Andrew M. Badger / Gautam Bisht / Michiel van denBroeke / Michael A. Brunke / Sean P. Burns / Jonathan Buzan / Martyn Clark / Anthony Craig / Kyla Dahlin / Beth Drewniak / Joshua B. Fisher / Mark Flanner / Andrew M. Fox / Pierre Gentine / Forrest Hoffman / Gretchen Keppel‐Aleks / Ryan Knox / Sanjiv Kumar / Jan Lenaerts / L. Ruby Leung / William H. Lipscomb / Yaqiong Lu / Ashutosh Pandey / Jon D. Pelletier / Justin Perket / James T. Randerson / Daniel M. Ricciuto / Benjamin M. Sanderson

    Journal of Advances in Modeling Earth Systems, Vol 11, Iss 12, Pp 4245-

    Description of New Features, Benchmarking, and Impact of Forcing Uncertainty

    2019  Volume 4287

    Abstract: Abstract The Community Land Model (CLM) is the land component of the Community Earth System Model (CESM) and is used in several global and regional modeling systems. In this paper, we introduce model developments included in CLM version 5 (CLM5), which ... ...

    Abstract Abstract The Community Land Model (CLM) is the land component of the Community Earth System Model (CESM) and is used in several global and regional modeling systems. In this paper, we introduce model developments included in CLM version 5 (CLM5), which is the default land component for CESM2. We assess an ensemble of simulations, including prescribed and prognostic vegetation state, multiple forcing data sets, and CLM4, CLM4.5, and CLM5, against a range of metrics including from the International Land Model Benchmarking (ILAMBv2) package. CLM5 includes new and updated processes and parameterizations: (1) dynamic land units, (2) updated parameterizations and structure for hydrology and snow (spatially explicit soil depth, dry surface layer, revised groundwater scheme, revised canopy interception and canopy snow processes, updated fresh snow density, simple firn model, and Model for Scale Adaptive River Transport), (3) plant hydraulics and hydraulic redistribution, (4) revised nitrogen cycling (flexible leaf stoichiometry, leaf N optimization for photosynthesis, and carbon costs for plant nitrogen uptake), (5) global crop model with six crop types and time‐evolving irrigated areas and fertilization rates, (6) updated urban building energy, (7) carbon isotopes, and (8) updated stomatal physiology. New optional features include demographically structured dynamic vegetation model (Functionally Assembled Terrestrial Ecosystem Simulator), ozone damage to plants, and fire trace gas emissions coupling to the atmosphere. Conclusive establishment of improvement or degradation of individual variables or metrics is challenged by forcing uncertainty, parametric uncertainty, and model structural complexity, but the multivariate metrics presented here suggest a general broad improvement from CLM4 to CLM5.
    Keywords global land model ; Earth System Modeling ; carbon and nitrogen cycling ; hydrology ; benchmarking ; Physical geography ; GB3-5030 ; Oceanography ; GC1-1581
    Subject code 550
    Language English
    Publishing date 2019-12-01T00:00:00Z
    Publisher American Geophysical Union (AGU)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Author Correction

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

    Scientific Data, Vol 8, Iss 1, Pp 1-

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

    2021  Volume 2

    Abstract: A Correction to this paper has been published: https://doi.org/10.1038/s41597-021-00851-9. ...

    Abstract A Correction to this paper has been published: https://doi.org/10.1038/s41597-021-00851-9.
    Keywords Science ; Q
    Language English
    Publishing date 2021-02-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

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

    Scientific Data, Vol 7, Iss 1, Pp 1-

    2020  Volume 27

    Abstract: Measurement(s) net ecosystem exchange • carbon dioxide • water • energy Technology Type(s) eddy covariance • measurement device Sample Characteristic - Environment terrestrial biome • atmosphere Sample Characteristic - Location Earth (planet) Machine- ... ...

    Abstract Measurement(s) net ecosystem exchange • carbon dioxide • water • energy Technology Type(s) eddy covariance • measurement device Sample Characteristic - Environment terrestrial biome • atmosphere Sample Characteristic - Location Earth (planet) Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.12295910
    Keywords Science ; Q
    Language English
    Publishing date 2020-07-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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