ISIMIP2b Simulation Data from the Regional Forests Sector
Cite as
Mats Mahnken, Alessio Collalti, Daniela Dalmonech, Carlo Trotta, Volodymyr Trotsiuk, Andrey Lessa Derci Augustynczik, Rasoul Yousefpour, Martin Gutsch, David Cameron, Harald Bugmann, Nica Huber, Timothy Thrippleton, Friedrich Bohn, Daniel Nadal-Sala, Santiago Sabaté, Rüdiger Grote, Annikki Mäkelä, Francesco Minunno, Mikko Peltoniemi, Patrick Vallet, Marek Fabrika, Katarína Merganičová, Marie Dury, Alexandra Henrot, Louis François, Iliusi Vega del Valle, Jan Volkholz, Christopher P.O. Reyer (2023): ISIMIP2b Simulation Data from the Regional Forests Sector (v1.0). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.185401
Metadata
- Title:
- ISIMIP2b Simulation Data from the Regional Forests Sector
- Version:
- 1.0
- Creators:
-
- Mats Mahnken 0000-0002-9755-8814
- Alessio Collalti 0000-0002-4980-8487
- Daniela Dalmonech 0000-0002-1932-5011
- Carlo Trotta 0000-0001-6377-0262
- Volodymyr Trotsiuk 0000-0002-8363-656X
- Andrey Lessa Derci Augustynczik 0000-0001-5513-5496
- Rasoul Yousefpour 0000-0003-3604-8279
- Martin Gutsch 0000-0001-7109-273X
- David Cameron 0000-0001-8938-0908
- Harald Bugmann 0000-0003-4233-0094
- Nica Huber 0000-0001-5427-6836
- Timothy Thrippleton 0000-0002-1017-7083
- Friedrich Bohn 0000-0002-7328-1187
- Daniel Nadal-Sala 0000-0002-0935-6201
- Santiago Sabaté 0000-0003-1854-0761
- Rüdiger Grote 0000-0001-6893-6890
- Annikki Mäkelä 0000-0001-9633-7350
- Francesco Minunno 0000-0002-7658-6402
- Mikko Peltoniemi 0000-0003-2028-6969
- Patrick Vallet 0000-0003-2649-9447
- Marek Fabrika 0000-0001-6993-1143
- Katarína Merganičová 0000-0003-4380-7472
- Marie Dury
- Alexandra Henrot 0000-0003-1564-8232
- Louis François 0000-0001-8292-8360
- Iliusi Vega del Valle 0000-0001-6902-2257
- Jan Volkholz 0000-0002-2533-3739
- Christopher P.O. Reyer 0000-0003-1067-1492
- Contact person:
-
- Christopher P.O. Reyer 0000-0003-1067-1492
For inquiries concerning this dataset, please contact info@isimip.org.
- Abstract:
-
This dataset contains ISIMIP2b (https://www.isimip.org, Frieler et al. 2017) simulation data from 10 forestry models: 3D-CMCC FEM (3D-CMCC-FEM LUE, Collalti et al. 2014, 2016), 3D-CMCC-CNR-BGC (3D-CMCC-FEM BGC, Collalti et al. 2019, Collalti et al. 2020), 3PGN-BW (Landsberg et al. 1997, Xenakis et al. 2008), 4C (Reyer et al. 2013, Lasch-Born et al. 2020), BASFOR (van Oijen et al. 2014, Cameron et al. 2013), CARAIB (Dury et al. 2011), ForClim (Bugmann et al. 2006), GOTILWA+ (Nadal-Sala et al. 2017, Keenan et al. 2010, Gracia et al. 2011), and PREBAS (Minunno et al. 2016, Valentine et al. 2005).
- Methods:
-
The ISIMIP2b regional forest outputs are based on simulations from regional forest models according to the ISIMIP2b protocol (https://www.isimip.org/protocol/2b/) A more detailed description of the models and model-specific amendments of the protocol are available here: https://www.isimip.org/impactmodels.
- Publication date:
- July 27, 2023
- Publisher:
- ISIMIP Repository
- Contributors:
-
- Matthias Büchner 0000-0002-1382-7424
- Jochen Klar 0000-0002-5883-4273
- Iliusi Vega del Valle 0000-0001-6902-2257
- Jan Volkholz 0000-0002-2533-3739
- Stefan Lange 0000-0003-2102-8873
- Matthias Mengel 0000-0001-6724-9685
- Christian Otto 0000-0001-5500-6774
- Franziska Piontek 0000-0003-4305-7552
- Christopher P.O. Reyer 0000-0003-1067-1492
- Jacob Schewe 0000-0001-9455-4159
- Martin Park 0000-0002-2467-3256
- Katja Frieler 0000-0003-4869-3013
- Potsdam Institute for Climate Impact Research (PIK) 03e8s1d88
Here we list the persons and organizations, who are responsible for the collection, the management, and the publication of this dataset.
Rights
Export
Download
API
References
- A. Collalti, S. Marconi, A. Ibrom, C. Trotta, A. Anav, E. D'Andrea, G. Matteucci, L. Montagnani, B. Gielen, I. Mammarella, T. Grünwald, A. Knohl, R. Valentini, and M. Santini et al. Validation of 3D-CMCC Forest Ecosystem Model (v.5.1) against eddy covariance data for ten European forest sites. Geoscientific Model Development, 9, 1-26, 2016, https://doi.org/10.5194/gmd-9-1-201
- Aussenac R, Pérot T, Fortin M, de Coligny F, Monnet J, Vallet P et al. The Salem simulator version 2.0: a tool for predicting the productivity of pure and mixed forest stands and simulating management operations. Open Research Europe, 1, 61, 2021, https://doi.org/10.12688/openreseurope.13671.2
- Bohn F, Frank K, Huth A et al. Of climate and its resulting tree growth: Simulating the productivity of temperate forests. Ecological Modelling, 278, 9-17, 2014, https://doi.org/10.1016/j.ecolmodel.2014.01.021
- Bugmann H et al. A Simplified Forest Model to Study Species Composition Along Climate Gradients. Ecology, 77, 2055-2074, 2006, https://doi.org/10.2307/2265700
- Cameron, D. R., Van Oijen, M., Werner, C., Butterbach-Bahl, K., Grote, R., Haas, E., Heuvelink, G. B. M., Kiese, R., Kros, J., Kuhnert, M., Leip, A., Reinds, G. J., Reuter, H. I., Schelhaas, M. J., De Vries, W., & Yeluripati, J. (2013). Environmental change impacts on the C- and N-cycle of European forests: a model comparison study. Biogeosciences, 10(3), 1751-1773. https://doi.org/10.5194/bg-10-1751-2013
- Collalti A., Perugini L., Santini M., Chiti T., Nolè A., Matteucci G., Valentini R. et al. A process-based model to simulate growth in forests with complex structure: Evaluation and use of 3D-CMCC Forest Ecosystem Model in a deciduous forest in Central Italy. Ecological Modelling, 272, 362-378, 2014, https://doi.org/10.1016/j.ecolmodel.2013.09.016
- Collalti, A., Thornton, P. E., Cescatti, A., Rita, A., Borghetti, M., Nolè, A., Trotta, C., Ciais, P., & Matteucci, G. (2019). The sensitivity of the forest carbon budget shifts across processes along with stand development and climate change. Ecological Applications, 29(2), e01837. https://doi.org/10.1002/eap.1837
- Collalti, A., Tjoelker, M. G., Hoch, G., Mäkelä, A., Guidolotti, G., Heskel, M., Petit, G., Ryan, M. G., Battipaglia, G., Matteucci, G., & Prentice, I. C. (2020). Plant respiration: Controlled by photosynthesis or biomass? Global Change Biology, 26(3), 1739-1753. https://doi.org/10.1111/gcb.14857
- Dury M, Hambuckers A, Warnant P, Henrot A, Favre E, Ouberdous M, François L (2011). Responses of European forest ecosystems to 21st century climate: assessing changes in interannual variability and fire intensity. iForest 4: 82-99. - https://doi.org/10.3832/ifor0572-004
- Fabrika, M., & Ďurský, J. (2005). Algorithms and software solution of thinning models for SIBYLA growth simulator [Article]. Journal of Forest Science, 51(10), 431-445. https://doi.org/10.17221/4577-jfs
- Georgios Xenakis, Duncan Ray, Maurizio Mencuccini, Sensitivity and uncertainty analysis from a coupled 3-PG and soil organic matter decomposition model, Ecological Modelling, Volume 219, Issues 1–2, 2008, Pages 1-16, ISSN 0304-3800, https://doi.org/10.1016/j.ecolmodel.2008.07.020.
- Gracia C, Tello E, Sabaté S, Bellot J et al. GOTILWA: An Integrated Model of Water Dynamics and Forest Growth. Ecological Studies, 163-179, 2011, https://doi.org/10.1007/978-3-642-58618-7_12
- Grote R, Kiese R, Grünwald T, Ourcival J, Granier A et al. Modelling forest carbon balances considering tree mortality and removal. Agricultural and Forest Meteorology, 151, 179-190, 2010, https://doi.org/10.1016/j.agrformet.2010.10.002
- Grote R, Korhonen J, Mammarella I et al. Challenges for evaluating process-based models of gas exchange. Forest Systems, 20, 389, 2011, https://doi.org/10.5424/fs/20112003-11084
- Grote R, Lehmann E, Brümmer C, Brüggemann N, Szarzynski J, Kunstmann H et al. Modelling and observation of biosphere–atmosphere interactions in natural savannah in Burkina Faso, West Africa. Physics and Chemistry of the Earth, Parts A/B/C, 34, 251-260, 2008, https://doi.org/10.1016/j.pce.2008.05.003
- Haas E, Klatt S, Fröhlich A, Kraft P, Werner C, Kiese R, Grote R, Breuer L, Butterbach-Bahl K et al. LandscapeDNDC: a process model for simulation of biosphere–atmosphere–hydrosphere exchange processes at site and regional scale. Landscape Ecology, 28, 615-636, 2012, https://doi.org/10.1007/s10980-012-9772-x
- Hlásny, T., Barcza, Z., Barka, I., Merganičová, K., Sedmák, R., Kern, A., Pajtík, J., Balázs, B., Fabrika, M., & Churkina, G. (2014). Future carbon cycle in mountain spruce forests of Central Europe: Modelling framework and ecological inferences. Forest Ecology and Management, 328, 55-68. https://doi.org/10.1016/j.foreco.2014.04.038
- Holst J, Grote R, Offermann C, Ferrio J, Gessler A, Mayer H, Rennenberg H et al. Water fluxes within beech stands in complex terrain. International Journal of Biometeorology, 54, 23-36, 2009, https://doi.org/10.1007/s00484-009-0248-x
- J.J. Landsberg, R.H. Waring, A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning, Forest Ecology and Management, Volume 95, Issue 3, 1997, Pages 209-228, ISSN 0378-1127, https://doi.org/10.1016/S0378-1127(97)00026-1.
- Keenan T, García R, Friend A, Zaehle S, Gracia C, Sabate S et al. Improved understanding of drought controls on seasonal variation in Mediterranean forest canopy CO2 and water fluxes through combined in situ measurements and ecosystem modelling. Biogeosciences, 6, 1423-1444, 2010, https://doi.org/10.5194/bg-6-1423-2009
- Lasch-Born, P., Suckow, F., Reyer, C. P. O., Gutsch, M., Kollas, C., Badeck, F. W., Bugmann, H. K. M., Grote, R., Fürstenau, C., Lindner, M., & Schaber, J. (2020). Description and evaluation of the process-based forest model 4C v2.2 at four European forest sites. Geosci. Model Dev., 13(11), 5311-5343. https://doi.org/10.5194/gmd-13-5311-2020
- Lindauer M, Schmid H, Grote R, Mauder M, Steinbrecher R, Wolpert B et al. Net ecosystem exchange over a non-cleared wind-throw-disturbed upland spruce forest—Measurements and simulations. Agricultural and Forest Meteorology, 197, 219-234, 2014, https://doi.org/10.1016/j.agrformet.2014.07.005
- Minunno F, Peltoniemi M, Launiainen S, Aurela M, Mammarella I, Lindroth A, Lohela A, Minkkinen K, Mäkelä A et al. A 2016. Calibration and validation of a semi-empirical flux ecosystem model for coniferous forests in the Boreal region. . Ecological Modelling ,341,37-52,2016
- Nadal-Sala D, Keenan T, Sabaté S, Gracia C et al. Forest Eco-Physiological Models: Water Use and Carbon Sequestration. Managing Forest Ecosystems: The Challenge of Climate Change, 81-102, 2017, https://doi.org/10.1007/978-3-319-28250-3_5
- Reyer C, Lasch-Born P, Suckow F, Gutsch M, Murawski A, Pilz T et al. Projections of regional changes in forest net primary productivity for different tree species in Europe driven by climate change and carbon dioxide. Annals of Forest Science, 71, 211-225, 2013, https://doi.org/10.1007/s13595-013-0306-8
- Schewe, J., Gosling, S.N., Reyer, C. et al. State-of-the-art global models underestimate impacts from climate extremes. Nat Commun 10, 1005 (2019). https://doi.org/10.1038/s41467-019-08745-6
- Valentine HT, Mäkelä A. Bridging process-based and empirical approaches to modeling tree growth. Tree Physiol. 2005 Jul;25(7):769-79. https://doi.org/10.1093/treephys/25.7.769
- van Oijen, M., Balkovi, J., Beer, C., Cameron, D. R., Ciais, P., Cramer, W., Kato, T., Kuhnert, M., Martin, R., Myneni, R., Rammig, A., Rolinski, S., Soussana, J. F., Thonicke, K., Van der Velde, M., & Xu, L. (2014). Impact of droughts on the carbon cycle in European vegetation: a probabilistic risk analysis using six vegetation models. Biogeosciences, 11(22), 6357-6375. https://doi.org/10.5194/bg-11-6357-2014
Additional documentation
- Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) → https://www.isimip.org
- ISIMIP2b simulation protocol (2020) → https://www.isimip.org/protocol/2b/
- Detailed description on isimip.org: 3D-CMCC FEM → https://www.isimip.org/impactmodels/details/1/
- Detailed description on isimip.org: 3D-CMCC-CNR-BGC → https://www.isimip.org/impactmodels/details/219/
- Detailed description on isimip.org: 3PG → https://www.isimip.org/impactmodels/details/247/
- Detailed description on isimip.org: 3PG-BW → https://www.isimip.org/impactmodels/details/269/
- Detailed description on isimip.org: 4C → https://www.isimip.org/impactmodels/details/3/
- Detailed description on isimip.org: BASFOR → https://www.isimip.org/impactmodels/details/159/
- Detailed description on isimip.org: ForClim → https://www.isimip.org/impactmodels/details/43/
- Detailed description on isimip.org: FORMIND → https://www.isimip.org/impactmodels/details/154/
- Detailed description on isimip.org: GOTILWA+ → https://www.isimip.org/impactmodels/details/51/
- Detailed description on isimip.org: Landscape-DNDC → https://www.isimip.org/impactmodels/details/163/
- Detailed description on isimip.org: PREBAS → https://www.isimip.org/impactmodels/details/58/
- Detailed description on isimip.org: SALEM → https://www.isimip.org/impactmodels/details/327/
- Detailed description on isimip.org: SYBILA → https://www.isimip.org/impactmodels/details/266/
This DOI is the previous version of
- Forrest, Matthew; Mahnken, Mats; Hickler, Thomas; Steinkamp, Jörg; Collalti, Alessio; Dalmonech, Daniela; Trotta, Carlo; Trotsiuk, Volodymyr; Augustynczik, Andrey Lessa Derci; Yousefpour, Rasoul; Gutsch, Martin; Cameron, David; Bugmann, Harald; Huber, Nica; Thrippleton, Timothy; Bohn, Friedrich; Nadal-Sala, Daniel; Sabaté, Santiago; Grote, Rüdiger; Mäkelä, Annikki; Minunno, Francesco; Peltoniemi, Mikko; Vallet, Patrick; Fabrika, Marek; Merganičová, Katarína; Dury, Marie; Henrot, Alexandra; François, Louis; Vega del Valle, Iliusi; Volkholz, Jan; Reyer, Christopher P.O. (2025): ISIMIP2b Simulation Data from the Regional Forests Sector. Version 1.1. ISIMIP Repository. (Dataset). https://doi.org/10.48364/ISIMIP.185401.1.
Version History
-
Version 1.1 was created on March 3, 2025.
-
Version 1.0 was created on July 27, 2023.this version
Datasets for this DOI
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc age 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc age 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc age 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc age 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc age 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc age 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc age 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc age 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc ba 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc ba 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc ba 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc ba 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc ba 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc ba 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc ba 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc ba 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cleaf 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cleaf 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cleaf 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cleaf 20230726
-
3d-cmcc-cnr-bgc
_gfdl-esm2m _ewembi _picontrol _2005soc _2005co2 _cleaf-piab _solling-spruce _annual 33.9 KBISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cleaf 20230726 -
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cleaf 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cleaf 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cleaf 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc croot 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc croot 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc croot 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc croot 20230726
-
3d-cmcc-cnr-bgc
_gfdl-esm2m _ewembi _picontrol _2005soc _2005co2 _croot-piab _solling-spruce _annual 33.9 KBISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc croot 20230726 -
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc croot 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc croot 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc croot 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cveg 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cveg 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cveg 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cveg 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cveg 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cveg 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cveg 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cveg 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cwood 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cwood 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cwood 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cwood 20230726
-
3d-cmcc-cnr-bgc
_gfdl-esm2m _ewembi _picontrol _2005soc _2005co2 _cwood-piab _solling-spruce _annual 33.9 KBISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cwood 20230726 -
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cwood 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cwood 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc cwood 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc dbh 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc dbh 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc dbh 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc dbh 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc dbh 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc dbh 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc dbh 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc dbh 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc density 20230726
-
3d-cmcc-cnr-bgc
_gfdl-esm2m _ewembi _picontrol _2005soc _2005co2 _density-fasy _solling-beech _annual 33.8 KBISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc density 20230726 -
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc density 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc density 20230726
-
3d-cmcc-cnr-bgc
_gfdl-esm2m _ewembi _picontrol _2005soc _2005co2 _density-piab _solling-spruce _annual 33.8 KBISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc density 20230726 -
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc density 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc density 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc density 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc esoil 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc esoil 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc esoil 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc esoil 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc esoil 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc esoil 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc esoil 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc esoil 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc evap 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc evap 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc evap 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc evap 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc evap 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc evap 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc evap 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc evap 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc fapar 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc fapar 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc fapar 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc fapar 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc fapar 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc fapar 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc fapar 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc fapar 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc gpp 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc gpp 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc gpp 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc gpp 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc gpp 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc gpp 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc gpp 20230726
-
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc gpp 20230726
-
3d-cmcc-cnr-bgc
_gfdl-esm2m _ewembi _picontrol _2005soc _2005co2 _harvstemno-fasy _collelongo _annual 30.8 KBISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc harvstemno 20230726 -
3d-cmcc-cnr-bgc
_gfdl-esm2m _ewembi _picontrol _2005soc _2005co2 _harvstemno-fasy _solling-beech _annual 33.9 KBISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc harvstemno 20230726 -
ISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc harvstemno 20230726
-
3d-cmcc-cnr-bgc
_gfdl-esm2m _ewembi _picontrol _2005soc _2005co2 _harvstemno-piab _bily-kriz _annual 30.9 KBISIMIP2b OutputData forestry gfdl-esm2m future 3d-cmcc-cnr-bgc harvstemno 20230726