Results 191 to 200 of about 327,544 (281)

Flux Footprints: A Critical Link to Bridge Eddy-Covariance Measurements With Models, Remote Sensing, and Other Observations. [PDF]

Glob Chang Biol
Chu H, Metzger S, Ouyang Z, Griebel A, Yi K, Durden D, Wolf S, Kasak K, Rey-Sanchez C, Hernandez Rodriguez LC, Oikawa P, Falco N, Runkle BRK, Ahmadi A, Matthes J.   +14 more
europepmc   +1 more source

Reassessing the Role of the Antarctic Slope Current in Poleward Ocean Heat Transport

Journal of Geophysical Research: Oceans, Volume 131, Issue 10, October 2026.
Abstract The Antarctic Slope Current (ASC) is often considered a barrier to the poleward transport of Circumpolar Deep Water (CDW), yet its vast extent has hindered circumpolar analysis of this relationship. Here, we use a high‐resolution global ocean‐sea ice model that resolves the slope current to assess the link between variability in the ASC and ...
Wilton Aguiar, Taimoor Sohail, Adele K. Morrison, Ellie Q. Y. Ong, Fabio Boeira Dias, Wilma G. C. Huneke, Paul Spence, Matthew H. England   +7 more
wiley   +1 more source

Constrained Carbon Partitioning: A Self-Trained Physics-Informed Machine Learning Model Refines GPP Estimates From Eddy Covariance Measurements. [PDF]

Glob Chang Biol
Ranjbar S, Desai AR, Hoffman S, Zahn E, Bou-Zeid E, Stoy PC.   +5 more
europepmc   +1 more source

A Regional Intercomparison of Ice Sheet Mass Balance Estimates of the Northwest Greenland Ice Sheet

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 10, October 2026.
Abstract Changes in ice sheet mass manifest as changes in ice flow, ice thickness, and gravitational attraction. These parameters can be measured from space and used to track Greenland's contribution to sea level rise independently from each other. While an excellent level of agreement between these satellite techniques has been demonstrated at the ice
Inès N. Otosaka, Andrew Shepherd, Andreas Groh, Thorben Döhne, Xavier Fettweis, Brice Noël   +5 more
wiley   +1 more source

Insights from the Convolution of Emission Inventories with Flux Footprints from Tall Eddy Covariance Towers at Three European Cities. [PDF]

ACS EST Air
Molinier B, Aigner P, Brunner D, Chen J, Christen A, Constantin L, Denier van der Gon H, Hilland R, Kühbacher D, Li J, Maiwald R, Super I, Vardag SN, Kljun N.   +13 more
europepmc   +1 more source

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

Sci Data, 2020
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, Cinti B, Grandcourt A, Ligne A, De Oliveira RC, Delpierre N, Desai AR, Di Bella CM, Tommasi PD, 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, 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, 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.   +289 more
europepmc   +1 more source

Infrared‐Guided Super‐Resolution of Remotely Sensed Passive Microwave Sea Surface Temperature

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract High‐resolution sea surface temperature (SST) is essential for weather forecasting and climate applications. Passive microwave (MW) SST offers largely cloud‐penetrating coverage but is coarse and spatially smoothed, whereas infrared (IR) SST resolves fine‐scale structures but is frequently cloud‐obscured.
Wenjie Zhou, Xiaofeng Yang
wiley   +1 more source

Non-Dispersive Gas Analyzer for H₂O and CO₂ Flux Analysis by the Eddy Covariance Method. [PDF]

Sensors (Basel)
Fufurin I, Karpov I, Kosterova A, Bessonov V, Yaroslavtsev A, Seregin I, Morozov A.   +6 more
europepmc   +1 more source

Testing the Limits of Surface QG Theory With Deep Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Surface Quasi‐Geostrophic (SQG) theory provides a closed‐form mapping from surface buoyancy to interior stream function under the assumption that interior potential vorticity (PV) vanishes (Q=0) $(Q=0)$. In realistic flows, however, the interior PV is typically nonzero.
Wenyu Shan, Dhruvit Patel, Yongqiang Sun, Pedram Hassanzadeh, Eli Tziperman, Dorian S. Abbot   +5 more
wiley   +1 more source

An Open-Path Eddy-Covariance Laser Spectrometer for Simultaneous Monitoring of CO₂, CH₄, and H₂O. [PDF]

Sensors (Basel)
Meshcherinov V, Gazizov I, Pravuk B, Kazakov V, Zenevich S, Spiridonov M, Gazizov S, Suvorov G, Kuricheva O, Lebedev Y, Vinogradov I, Rodin A.   +11 more
europepmc   +1 more source