Articles | Volume 18, issue 14
https://doi.org/10.5194/gmd-18-4713-2025
https://doi.org/10.5194/gmd-18-4713-2025
Model description paper
 | 
30 Jul 2025
Model description paper |  | 30 Jul 2025

pyVPRM: a next-generation vegetation photosynthesis and respiration model for the post-MODIS era

Theo Glauch, Julia Marshall, Christoph Gerbig, Santiago Botía, Michał Gałkowski, Sanam N. Vardag, and André Butz

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Cited articles

Ahmadov, R., Gerbig, C., Kretschmer, R., Körner, S., Rödenbeck, C., Bousquet, P., and Ramonet, M.: Comparing high resolution WRF-VPRM simulations and two global CO2 transport models with coastal tower measurements of CO2, Biogeosciences, 6, 807–817, https://doi.org/10.5194/bg-6-807-2009, 2009. a
Baldocchi, D., Falge, E., Gu, L., Olson, R., Hollinger, D., Running, S., Anthoni, P., Bernhofer, C., Davis, K., Evans, R., Fuentes, J., Goldstein, A., Katul, G., Law, B., Lee, X., Malhi, Y., Meyers, T., Munger, W., Oechel, W., Paw U, K. T., Pilegaard, K., Schmid, H., Valentini, R., Verma, S., Vesala, T., Wilson, K., and Wofsy, S.: FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities, B. Am. Meteorol. Soc., 82, 2415–2434, https://doi.org/10.1175/1520-0477(2001)082<2415:FANTTS>2.3.CO;2, 2001. a
Bazzi, H., Ciais, P., Abbessi, E., Makowski, D., Santaren, D., Ceschia, E., Brut, A., Tallec, T., Buchmann, N., Maier, R., Acosta, M., Loubet, B., Buysse, P., Léonard, J., Bornet, F., Fayad, I., Lian, J., Baghdadi, N., Segura Barrero, R., Brümmer, C., Schmidt, M., Heinesch, B., Mauder, M., and Gruenwald, T.: Assimilating Sentinel-2 data in a modified vegetation photosynthesis and respiration model (VPRM) to improve the simulation of croplands CO2 fluxes in Europe, Int. J. Appl. Earth Obs. Geoinf., 127, 103666, https://doi.org/10.1016/j.jag.2024.103666, 2024.  a
Beck, V., Koch, T., Kretschmer, R., Marshall, J., Ahmadov, R., Gerbig, C., Pillai, D., and Heimann, M.: The WRF Greenhouse Gas Model (WRF-GHG), Technical Report No. 25, Max Planck Institute for Biogeochemistry, Jena, Germany, https://www.bgc-jena.mpg.de/5363366/tech_report25.pdf (last access: 24 July 2025), 2012. a, b
Bousquet, P., Ciais, P., Peylin, P., Ramonet, M., and Monfray, P.: Inverse modeling of annual atmospheric CO2 sources and sinks: 1. Method and control inversion, J. Geophys. Res.-Atmos., 104, 26161–26178, 1999. a
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Short summary
The Vegetation Photosynthesis and Respiration Model (VPRM) estimates carbon exchange between the atmosphere and biosphere by modeling gross primary production and respiration using satellite data and weather variables. Our new version, pyVPRM, supports diverse satellite products like Sentinel-2, MODIS, VIIRS, and new land cover maps, enabling high spatial and temporal resolution. This improves flux estimates, especially in complex landscapes, and ensures continuity as MODIS nears decommissioning.
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