"Publications related to SINDBAD", then "Preprints" "Papers" "Communications"

Koirala, S., Jung, M., Trautmann, T., Reichstein, M., and Carvalhais, N.: SINDBAD: A modular framework for model data integration of carbon-water processes across scales, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-11339, https://doi.org/10.5194/egusphere-egu23-11339, 2023.

Trautmann, T., Koirala, S., Carvalhais, N., Eicker, A., Fink, M., Niemann, C., & Jung, M. (2018). Understanding terrestrial water storage variations in northern latitudes across scales. Hydrology and Earth System Sciences, 22(7), 4061-4082.

Trautmann, T., Koirala, S., Carvalhais, N., Güntner, A., & Jung, M. (2022). The importance of vegetation in understanding terrestrial water storage variations. Hydrology and Earth System Sciences, 26(4), 1089-1109.

Trautmann, T., Koirala, S., Guentner, A., Kim, H., & Jung, M. (2023). Calibrating global hydrological models with GRACE TWS: does river storage matter?. Environmental Research Communications, 5(8), 081005.

Trautmann, T., Koirala, S., Güntner, A., Kim, H., & Jung, M. (2022, May). Implications of river storage for integrating GRACE TWS observations into a global hydrological model. In EGU General Assembly Conference Abstracts (pp. EGU22-7708).

Trautmann, T., Koirala, S., Guntner, A., Kim, H., & Jung, M. (2021, December). Implications of river storage on assimilating GRACE TWS variations into a simple hydrological modeling framework. In AGU Fall Meeting Abstracts (Vol. 2021, pp. H34G-03).

Trautmann, T., Koirala, S., Carvalhais, N., Guntner, A., & Jung, M. (2019, December). Improving the Representation of Vegetation in Global Hydrological Models using Earth Observation Data. In AGU Fall Meeting Abstracts (Vol. 2019, pp. H21A-07).

Trautmann, T., Koirala, S., Carvalhais, N., Niemann, C., Fink, M., & Jung, M. (2017, April). Towards understanding of the spatio-temporal composition of Terrestrial Water Storage variations in Northern Latitudes using a model-data fusion approach. In EGU General Assembly Conference Abstracts (p. 12489).

Lee, H., Jung, M., Carvalhais, N., Reichstein, M., Forkel, M., Bloom, A. A., ... & Koirala, S. (2024). Spatial attribution of temporal variability in global land-atmosphere CO2 exchange using a model-data integration framework. Authorea Preprints.

Lee, H., Jung, M., Carvalhais, N., Reichstein, M., Forkel, M., Bloom, A. A., ... & Koirala, S. (2024). Understanding the variability of land-atmosphere CO2 exchange across scales using a model-data-integration framework, SINDBAD. AGU Fall Meeting, 2023.

Lee, H., Jung, M., Carvalhais, N., Trautmann, T., Kraft, B., Reichstein, M., ... & Koirala, S. (2022, May). Error hotpots of the modelled global terrestrial water storage interannual variation. In EGU General Assembly Conference Abstracts (pp. EGU22-5118).

Lee, H., Jung, M., Carvalhais, N., Trautmann, T., Kraft, B., Reichstein, M., ... & Koirala, S. (2023). Diagnosing modeling errors in global terrestrial water storage interannual variability. Hydrology and Earth System Sciences, 27(7), 1531-1563.

Besnard, S., Koirala, S., Santoro, M., Bao, S., Cartus, O., Gans, F., ... & Carvalhais, N. (2020, May). Constraining carbon allocation in a terrestrial ecosystem model using long-term forest biomass time series. In EGU General Assembly Conference Abstracts (p. 10523).