Results 171 to 180 of about 327,544 (281)

A decade of CO₂ flux measured by the eddy covariance method including the COVID-19 pandemic period in an urban center in Sakai, Japan. [PDF]

Environ Pollut, 2022
Ueyama M, Takano T.
europepmc   +1 more source

From Soil to Canopy: Using Moisture Data From Soil and Tree Sensors to Predict Live Fuel Moisture and Guide Forest Management in a Mediterranean Coastal Woodland

Ecohydrology, Volume 19, Issue 7, October/November 2026.
ABSTRACT Ecosystem response to forest management and disturbance is governed by many factors and their interactions. This has historically made it difficult for practitioners to reach consensus on ideal management prescriptions and restoration activities.
Michelle Stern, Ryan Ferrell, Lorraine Flint, James Thorne   +3 more
wiley   +1 more source

A 7‐Year Eddy Covariance Dataset of the Energy, Water Vapour and Carbon Dioxide Fluxes Observed in a Siberian Dwarf Pine Ecosystem

Geoscience Data Journal, Volume 13, Issue 4, October 2026.
To clarify the role of alpine ecosystems in water and carbon cycling, we measured eddy‐covariance fluxes in a Siberian dwarf pine ecosystem in the Japanese Alps. The quality of the flux data was assessed using micrometeorological criteria, and data gaps were filled using a random forest regression approach.
Hiroki Iwata, Ryo Sato, Naoki Makita, Hajime Kobayashi, Hiroyuki Oguma   +4 more
wiley   +1 more source

Spatial Decomposition of Eddy Covariance Fluxes: The FLUGS Framework. [PDF]

Glob Chang Biol
Schlutow M, Chew R, Göckede M.
europepmc   +1 more source

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

Sci Data, 2021
Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah YW, Poindexter C, Chen J, Elbashandy A, Humphrey M, Isaac P, Polidori D, Reichstein M, Ribeca A, van Ingen C, Vuichard N, Zhang L, Amiro B, Ammann C, Arain MA, Ardö J, Arkebauer T, Arndt SK, Arriga N, Aubinet M, Aurela M, Baldocchi D, Barr A, Beamesderfer E, Marchesini LB, Bergeron O, Beringer J, Bernhofer C, Berveiller D, Billesbach D, Black TA, Blanken PD, Bohrer G, Boike J, Bolstad PV, Bonal D, Bonnefond JM, Bowling DR, Bracho R, Brodeur J, Brümmer C, Buchmann N, Burban B, Burns SP, Buysse P, Cale P, Cavagna M, Cellier P, Chen S, Chini I, Christensen TR, Cleverly J, Collalti A, Consalvo C, Cook BD, Cook D, Coursolle C, Cremonese E, Curtis PS, D'Andrea E, da Rocha H, Dai X, Davis KJ, De Cinti B, de Grandcourt A, De Ligne A, De Oliveira RC, Delpierre N, Desai AR, Di Bella CM, di Tommasi P, Dolman H, Domingo F, Dong G, Dore S, Duce P, Dufrêne E, Dunn A, Dušek J, Eamus D, Eichelmann U, ElKhidir HAM, Eugster W, Ewenz CM, Ewers B, Famulari D, Fares S, Feigenwinter I, Feitz A, Fensholt R, Filippa G, Fischer M, Frank J, Galvagno M, Gharun M, Gianelle D, Gielen B, Gioli B, Gitelson A, Goded I, Goeckede M, Goldstein AH, Gough CM, Goulden ML, Graf A, Griebel A, Gruening C, Grünwald T, Hammerle A, Han S, Han X, Hansen BU, Hanson C, Hatakka J, He Y, Hehn M, Heinesch B, Hinko-Najera N, Hörtnagl L, Hutley L, Ibrom A, Ikawa H, Jackowicz-Korczynski M, Janouš D, Jans W, Jassal R, Jiang S, Kato T, Khomik M, Klatt J, Knohl A, Knox S, Kobayashi H, Koerber G, Kolle O, Kosugi Y, Kotani A, Kowalski A, Kruijt B, Kurbatova J, Kutsch WL, Kwon H, Launiainen S, Laurila T, Law B, Leuning R, Li Y, Liddell M, Limousin JM, Lion M, Liska AJ, Lohila A, López-Ballesteros A, López-Blanco E, Loubet B, Loustau D, Lucas-Moffat A, Lüers J, Ma S, Macfarlane C, Magliulo V, Maier R, Mammarella I, Manca G, Marcolla B, Margolis HA, Marras S, Massman W, Mastepanov M, Matamala R, Matthes JH, Mazzenga F, McCaughey H, McHugh I, McMillan AMS, Merbold L, Meyer W, Meyers T, Miller SD, Minerbi S, Moderow U, Monson RK, Montagnani L, Moore CE, Moors E, Moreaux V, Moureaux C, Munger JW, Nakai T, Neirynck J, Nesic Z, Nicolini G, Noormets A, Northwood M, Nosetto M, Nouvellon Y, Novick K, Oechel W, Olesen JE, Ourcival JM, Papuga SA, Parmentier FJ, Paul-Limoges E, Pavelka M, Peichl M, Pendall E, Phillips RP, Pilegaard K, Pirk N, Posse G, Powell T, Prasse H, Prober SM, Rambal S, Rannik Ü, Raz-Yaseef N, Rebmann C, Reed D, de Dios VR, Restrepo-Coupe N, Reverter BR, Roland M, Sabbatini S, Sachs T, Saleska SR, Sánchez-Cañete EP, Sanchez-Mejia ZM, Schmid HP, Schmidt M, Schneider K, Schrader F, Schroder I, Scott RL, Sedlák P, Serrano-Ortíz P, Shao C, Shi P, Shironya I, Siebicke L, Šigut L, Silberstein R, Sirca C, Spano D, Steinbrecher R, Stevens RM, Sturtevant C, Suyker A, Tagesson T, Takanashi S, Tang Y, Tapper N, Thom J, Tomassucci M, Tuovinen JP, Urbanski S, Valentini R, van der Molen M, van Gorsel E, van Huissteden K, Varlagin A, Verfaillie J, Vesala T, Vincke C, Vitale D, Vygodskaya N, Walker JP, Walter-Shea E, Wang H, Weber R, Westermann S, Wille C, Wofsy S, Wohlfahrt G, Wolf S, Woodgate W, Li Y, Zampedri R, Zhang J, Zhou G, Zona D, Agarwal D, Biraud S, Torn M, Papale D.   +288 more
europepmc   +1 more source

QG‐Python: A Reproducible 1.5‐Layer Quasi‐Geostrophic Modelling Service With Direct Sparse Solvers, Spectral Stability Diagnostics and Filter Sensitivity Data

Geoscience Data Journal, Volume 13, Issue 4, October 2026.
QG‐Python is an open, reproducible 1.5‐layer quasi‐geostrophic modelling service whose published diagnostics show that the classical von Neumann bound underestimates the true Leapfrog stability limit by a factor of 13.7, and that the Robert–Asselin–Williams filter reduces kinetic energy and enstrophy biases from ~21% and ~45% to under 4%.
Elias D. Nino‐Ruiz
wiley   +1 more source

Signal of carbon exchange in Qilian mountain based on eddy covariance and remote sensing data. [PDF]

iScience
Han C, Liu Y, Wang X, Liu Z, Liu G, Chen R.   +5 more
europepmc   +1 more source

The spatial and environmental distribution of the global eddy covariance tower network. [PDF]

Int J Biometeorol
Stoy PC, Chu H, Dahl E, Cala DS, Shveytser V, Wiesner S, Desai AR, Novick KA.   +7 more
europepmc   +1 more source

A UAV-Based Eddy Covariance System for Measurement of Mass and Energy Exchange of the Ecosystem: Preliminary Results. [PDF]

Sensors (Basel), 2021
Sun Y, Ma J, Sude B, Lin X, Shang H, Geng B, Diao Z, Du J, Quan Z.   +8 more
europepmc   +1 more source

Eddy-Covariance measurements at Barentsburg/Spitsbergen - QUARCCS-Barentsburg

Eddy-Covariance measurements at Barentsburg/Spitsbergen.
Schulz, Alexander
core   +1 more source