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Vegetation type is an important predictor of the arctic summer land surface energy budget

CITE Title : Vegetation type is an important predictor of the arctic summer land surface energy budget Personal Author(s) : Oehri, Jacqueline;Schaepman-Strub, Gabriela;Kim, Jin-Soo;Grysko, Raleigh;Kropp, Heather;Grünberg, Inge;Zemlianskii, Vitalii;Sonnentag, Oliver;Euskirchen, Eugénie S.;Reji Chacko, Merin;Muscari, Giovanni;Blanken, Peter D.;Dean, Joshua F.;di Sarra, Alcide;Harding, Richard J.;Sobota, Ireneusz;Kutzbach, Lars;Plekhanova, Elena;Riihelä, Aku;Boike, Julia;Miller, Nathaniel B.;Beringer, Jason;López-Blanco, Efrén;Stoy, Paul C.;Sullivan, Ryan C.;Kejna, Marek;Parmentier, Frans-Jan W.;Gamon, John A.;Mastepanov, Mikhail;Wille, Christian;Jackowicz-Korczynski, Marcin;Karger, Dirk N.;Quinton, William L.;Putkonen, Jaakko;van As, Dirk;Christensen, Torben R.;Hakuba, Maria Z.;Stone, Robert S.;Metzger, Stefan;Vandecrux, Baptiste;Frost, Gerald V.;Wild, Martin;Hansen, Birger;Meloni, Daniela;Domine, Florent;te Beest, Mariska;Sachs, Torsten;Kalhori, Aram;Rocha, Adrian V.;Williamson, Scott N.;Morris, Sara;Atchley, Adam L.;Essery, Richard;Runkle, Benjamin R. K.;Holl, David;Riihimaki, Laura D.;Iwata, Hiroki;Schuur, Edward A. G.;Cox, Christopher J.;Grachev, Andrey A.;McFadden, Joseph P.;Fausto, Robert S.;Göckede, Mathias;Ueyama, Masahito;Pirk, Norbert;de Boer, Gijs;Bret-Harte, M. Syndonia;Leppäranta, Matti;Steffen, Konrad;Friborg, Thomas;Ohmura, Atsumu;Edgar, Colin W.;Olofsson, Johan;Chambers, Scott D.; Published Date : 2022 Source : Nature Communications, 13(1) DOI : https://doi.org/10.1038/s41467-022-34049-3 Journal Title : Nature Communications Oehri, Jacqueline et al. (2022). Vegetation type is an important predictor of the arctic summer land surface energy budget. 13(1). https://doi.org/10.1038/s41467-022-34049-3 Oehri, Jacqueline et al. "Vegetation type is an important predictor of the arctic summer land surface energy budget" 13, no. 1 (2022), https://doi.org/10.1038/s41467-022-34049-3 Oehri, Jacqueline et al. "Vegetation type is an important predictor of the arctic summer land surface energy budget" vol. 13, no. 1, 2022, https://doi.org/10.1038/s41467-022-34049-3 Export RIS Citation Information.

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Oehri, Jacqueline

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Schaepman-Strub, Gabriela

2022 | Nature Communications, 13(1)

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Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in t...
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

CITE Title : The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data Personal Author(s) : 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;Papale, Dario; Published Date : 2020 Source : Sci Data. 2020 Jul 9;7(1):225. DOI : https://doi.org/10.1038/s41597-020-0534-3 Journal Title : Scientific Data Pastorello, Gilberto et al. (2020). The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. 7https://doi.org/10.1038/s41597-020-0534-3 Pastorello, Gilberto et al. "The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data" 7 (2020), https://doi.org/10.1038/s41597-020-0534-3 Pastorello, Gilberto et al. "The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data" vol. 7, 2020, https://doi.org/10.1038/s41597-020-0534-3 Export RIS Citation Information.

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Pastorello, Gilberto

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Trotta, Carlo

2020 | Sci Data. 2020 Jul 9;7(1):225.

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The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorolo...
Climate–ecosystem modelling made easy: The Land Sites Platform

CITE Title : Climate–ecosystem modelling made easy: The Land Sites Platform Personal Author(s) : Keetz, Lasse T.;Lieungh, Eva;Karimi‐Asli, Kaveh;Geange, Sonya R.;Gelati, Emiliano;Tang, Hui;Yilmaz, Yeliz A.;Aas, Kjetil S.;Althuizen, Inge H. J.;Bryn, Anders;Falk, Stefanie;Fisher, Rosie;Fouilloux, Anne;Horvath, Peter;Indrehus, Sunniva;Lee, Hanna;Lombardozzi, Danica;Parmentier, Frans‐Jan W.;Pirk, Norbert;Vandvik, Vigdis;Vollsnes, Ane V.;Skarpaas, Olav;Stordal, Frode;Tallaksen, Lena M.; Published Date : 2023 Source : Global Change Biology, 29(15), 4440-4452 DOI : https://doi.org/10.1111/gcb.16808 Journal Title : Global Change Biology Keetz, Lasse T. et al. (2023). Climate–ecosystem modelling made easy: The Land Sites Platform. 29(15). https://doi.org/10.1111/gcb.16808 Keetz, Lasse T. et al. "Climate–ecosystem modelling made easy: The Land Sites Platform" 29, no. 15 (2023), https://doi.org/10.1111/gcb.16808 Keetz, Lasse T. et al. "Climate–ecosystem modelling made easy: The Land Sites Platform" vol. 29, no. 15, 2023, https://doi.org/10.1111/gcb.16808 Export RIS Citation Information.

:

Keetz, Lasse T.

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Lieungh, Eva

2023 | Global Change Biology, 29(15), 4440-4452

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Dynamic Global Vegetation Models (DGVMs) provide a state-of-the-art process-based approach to study the complex interplay between vegetation and its p...