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

Qiu, Chunjing and Zhu, Dan and Ciais, Philippe and Guenet, Bertrand and Krinner, Gerhard and Peng, Shushi and Aurela, Mika and Bernhofer, Christian and Brümmer, Christian and Bret-Harte, Syndonia and Chu, Housen and Chen, Jiquan and Desai, Ankur R. and Dušek, Jǐrí and Euskirchen, Eugénie S. and Fortuniak, Krzysztof and Flanagan, Lawrence B. and Friborg, Thomas and Grygoruk, Mateusz and Gogo, Sébastien and Grünwald, Thomas and Hansen, Birger U. and Holl, David and Humphreys, Elyn and Hurkuck, Miriam and Kiely, Gerard and Klatt, Janina and Kutzbach, Lars and Largeron, Chloé and Laggoun-Défarge, Fatima and Lund, Magnus and Lafleur, Peter M. and Li, Xuefei and Mammarella, Ivan and Merbold, Lutz and Nilsson, Mats B. and Olejnik, Janusz and Ottosson-Löfvenius, Mikaell and Oechel, Walter and Parmentier, Frans Jan W. and Peichl, Matthias and Pirk, Norbert and Peltola, Olli and Pawlak, Włodzimierz and Rasse, Daniel and Rinne, Janne and Shaver, Gaius and Peter Schmid, Hans and Sottocornola, Matteo and Steinbrecher, Rainer and Sachs, Torsten and Urbaniak, Marek and Zona, Donatella and Ziemblinska, Klaudia (2018) ORCHIDEE-PEAT (revision 4596), a model for northern peatland CO2, water, and energy fluxes on daily to annual scales. Geoscientific Model Development, 11 (2). pp. 497-519. ISSN 1991-959X

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Abstract

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 the hydrology, surface energy, and CO2 fluxes of peatlands on daily to annual timescales. The model includes a separate soil tile in each 0.5° grid cell, defined from a global peatland map and identified with peat-specific soil hydraulic properties. Runoff from non-peat vegetation within a grid cell containing a fraction of peat is routed to this peat soil tile, which maintains shallow water tables. The water table position separates oxic from anoxic decomposition. The model was evaluated against eddy-covariance (EC) observations from 30 northern peatland sites, with the maximum rate of carboxylation (Vcmax) being optimized at each site. Regarding short-term day-to-day variations, the model performance was good for gross primary production (GPP) (r2 Combining double low line 0.76; Nash-Sutcliffe modeling efficiency, MEF Combining double low line 0.76) and ecosystem respiration (ER, r2 Combining double low line 0.78, MEF Combining double low line 0.75), with lesser accuracy for latent heat fluxes (LE, r2 Combining double low line 0.42, MEF Combining double low line 0.14) and and net ecosystem CO2 exchange (NEE, r2 Combining double low line 0.38, MEF Combining double low line 0.26). Seasonal variations in GPP, ER, NEE, and energy fluxes on monthly scales showed moderate to high r2 values (0.57-0.86). For spatial across-site gradients of annual mean GPP, ER, NEE, and LE, r2 values of 0.93, 0.89, 0.27, and 0.71 were achieved, respectively. Water table (WT) variation was not well predicted (r2<0.1), likely due to the uncertain water input to the peat from surrounding areas. However, the poor performance of WT simulation did not greatly affect predictions of ER and NEE. We found a significant relationship between optimized Vcmax and latitude (temperature), which better reflects the spatial gradients of annual NEE than using an average Vcmax value.

Item Type: Article
Additional Information: Funding Information: Acknowledgements. This study was supported by the European Research Council Synergy grant ERC-2013-SyG-610028 IMBALANCE-P. We would like to thank all the PIs for giving us permission to use the flux and ancillary data and for all the help and advice they provided while we were preparing the manuscript. We thank the Polish National Science Centre which provided funds for site Kopytkowo (PL-Kpt) under projects UMO-2011/01/B/ST10/07550 and UMO-2015/17/B/ST10/02187, and the Department of Energy for supporting measurements at Lost Creek fen (US-Los) through the AmeriFlux Network Management Project. We gratefully acknowledge the financial support provided for the La Guette site under the Labex VOLTAIRE (ANR-10-LABX-100-01) and the PIVOTS project of the Région Centre – Val de Loire (ARD 2020 program and CPER 2015–2020). Data from the Greenlandic sites (DK-ZaF and DK-NuF) were provided by the Greenland Ecosystem Monitoring Programme. The US-Bes tower is funded by NSF (award nos. 1204263 and 1702797), NASA ABoVE (NNX15AT74A; NNX16AF94A), EU Horizon 2020 INTAROS (under grant agreement no. 727890), and the NERC UAMS grant (NE/P002552/1).
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/2600/2611
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Depositing User: Admin SSL
Date Deposited: 19 Oct 2022 23:03
Last Modified: 01 Aug 2023 01:40
URI: http://repository-testing.wit.ie/id/eprint/3761

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