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29 results for “LPJ-GUESS”
Data analysis & code: Quantifying the impact of climate change and forest management on Swedish forest ecosystems using the dynamic vegetation model LPJ-GUESS
<p><span>This file contains code to optimize the allometric parameters, to plot the figures, and details of the underlying data analysis in "Quantifying the impact of climate change and forest management on Swedish forest ecosystems using the dynamic vegetation model LPJ-GUESS" (Bergkvist et al.). <br></span></p>
Forcing data, evaluation data, model output and analysis scripts used in LPJ-GUESS/LSM description paper
<p>This archive contains:</p> <p>- model_output.tar.gz: Model output<br> - extracted_fluxes.tar.gz: Sensible heat, latent heat and CO2 fluxes extracted from the FLUXNET2015 dataset, used to evaluate the model output<br> - extracted_climate.tar.gz: Climate data extracted from the FLUXNET2015 dataset, used to force the simulations<br> - scripts.tar.gz: Python scripts used to analyze the data and produce the results reported in the model description paper</p> <p>The climate forcing data has been extracted from the FLUXNET2015 dataset [1]. Input and output data is stored in netCDF files. Evaluation data is stored in python serialized files (pickle).</p> <p>[1] Pastorello, G., Trotta, C., Canfora, E. <em>et al.</em> The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. <em>Sci Data</em> <strong>7, </strong>225 (2020). https://doi.org/10.1038/s41597-020-0534-3</p>
Jianyong Ma/BNF in grain legumes in LPJ-GUESS
<p>This file contains the input data for model runs on global scale and the measured results for BNF evaluation at site scales presented in Geoscientific Model Development (GMD) paper: <a href="https://doi.org/10.5194/gmd-15-815-2022">https://doi.org/10.5194/gmd-15-815-2022</a></p>
Observational data for central European forest sites and LPJ-GUESS simulation data for European forests.
<p>Observational data for central European forest sites and LPJ-GUESS simulation data for European forests.used to produce figures and tables in: Lindeskog et al.: Accounting for forest management in the estimation of forest carbon balance using the dynamic vegetation model LPJ-GUESS (v4.0, r9710): Implementation and evaluation of simulations for Europe.Geosci.Model.Dev.14:1-41, 2021.</p>
Cover crops effect on global croplands modelled by LPJ-GUESS
<p>This file contains the input and output data for cover crop simulations on global scale by LPJ-GUESS. The site-level observations collected from the existing literature for model evaluation are also included. More details can be found in our Earth's Future (EF) paper: <a href="https://doi.org/10.1029/2022EF003142">https://doi.org/10.1029/2022EF003142</a></p>
Climate warming benefits plant growth but net carbon uptake: Simulation of Alaska tundra and needle leaf forest using LPJ-GUESS
<p><span>Climate warming has important effects on Arctic vegetation, but the roles of Arctic vegetation as a carbon sink or source in the future remain largely unknown. In this study, we selected the tundra and needle leaf forest areas in Alaska to examine vegetation growth and carbon exchange using the LPJ-GUESS model. We used flux site data to verify the accuracy of GPP and NEE simulated with climate variables, then simulated GPP and NEE from 1992 to 2014 and GPP and NEE from 2020 to 2100 under different climate scenarios, and compared the GPP and LAI simulated by the model with those under future scenarios. </span>We used LPJ-GUESS model to explore the importance of climate variables on GPP and NEE.</p>
Climate warming benefits plant growth but net carbon uptake: Simulation of Alaska tundra and needle leaf forest using LPJ-GUESS
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Soil N2O emissions from global land ecosystems simulated by the LPJ-GUESS model
<p>This file includes the input and output data for global soil N2O simulations performed with the LPJ-GUESS model. It also contains site-level observations of N2O fluxes from natural vegetation and cropland, sourced from the literature and used for model evaluation. Additional details are available in our recent paper published in <strong>Geoscientific Model Development</strong><em> </em>(<a href="https://doi.org/10.5194/gmd-18-3131-2025">https://doi.org/10.5194/gmd-18-3131-2025</a>).</p>
Model Output from Coupled LPJ-GUESS & Madingley Model System
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