• ORCHIDEE-PEAT (revision 4596), a model for northern peatland CO2, water, and energy fluxes on daily to annual scales 

      Qiu, Chunjing; Zhu, Dan; Ciais, Philippe; Guenet, Bertrand; Krinner, Gerhard; Peng, Shushi; Aurela, Mika; Bernhofer, Christian; Brümmer, Christian; Bret-Harte, Syndonia; Chu, Housen; Chen, Jiquan; Desai, Ankur R.; Dušek, Jiří; Euskirchen, Eugénie S.; Fortuniak, Krzysztof; Flanagan, Lawrence B.; Friborg, Thomas; Grygoruk, Mateusz; Gogo, Sébastien; Grünwald, Thomas; Hansen, Birger U.; Holl, David; Humphreys, Elyn; Hurkuck, Miriam; Kiely, Gerard; Klatt, Janina; Kutzbach, Lars; Largeron, Chloé; Laggoun-Défarge, Fatima; Lund, Magnus; Lafleur, Peter M.; Li, Xuefei; Mammarella, Ivan; Merbold, Lutz; Nilsson, Mats B.; Olejnik, Janusz; Ottosson-Löfvenius, Mikaell; Oechel, Walter C.; Parmentier, Frans-Jan W.; Peichl, Matthias; Pirk, Norbert; Peltola, Olli; Pawlak, Włodzimierz; Rasse, Daniel; Rinne, Janne; Shaver, Gaius R.; Schmid, Hans Peter; Sottocornola, Matteo; Steinbrecher, Rainer; Sachs, Torsten; Urbaniak, Marek; Zona, Donatella; Ziemblinska, Klaudia (Journal article; Peer reviewed, 2018-02-05)
      Peatlands store substantial amounts of carbon and are vulnerable to climate change. We present a modified version of the Organising Carbon and Hydrology In Dynamic Ecosystems (ORCHIDEE) land surface model for simulating ...
    • Soil organic carbon models need independent time-series validation for reliable prediction 

      Le Noë, Julia; Manzoni, Stefano; Abramoff, Rose; Bölscher, Tobias; Bruni, Elisa; Cardinael, Rémi; Ciais, Philippe; Chenu, Claire; Clivot, Hugues; Derrien, Delphine; Ferchaud, Fabien; Garnier, Patricia; Goll, Daniel; Lashermes, Gwenaëlle; Martin, Manuel; Rasse, Daniel; Rees, Frédéric; Sainte-Marie, Julien; Salmon, Elodie; Schiedung, Marcus; Schimel, Josh; Wieder, William; Abiven, Samuel; Barré, Pierre; Cécillon, Lauric; Guenet, Bertrand (Peer reviewed; Journal article, 2023-05-08)
      Numerical models are crucial to understand and/or predict past and future soil organic carbon dynamics. For those models aiming at prediction, validation is a critical step to gain confidence in projections. With a ...