Faculty of Geo-information Science and Earth Observation (ITC)

Selected model development publications

Peer-Review Journals

  1. Su, Z.; Zeng, Y.; Romano, N.; Manfreda, S.; Francés, F.; Ben Dor, E.; Szabó, B.; Vico, G.; Nasta, P.; Zhuang, R.; Francos, N.; Mészáros, J.; Dal Sasso, S.F.; Bassiouni, M.; Zhang, L.; Rwasoka, D.T.; Retsios, B.; Yu, L.; Blatchford, M.L.; Mannaerts, C., (2020), An Integrative Information Aqueduct to Close the Gaps between Satellite Observation of Water Cycle and Local Sustainable Management of Water Resources. Water 2020, 12, 1495, https://doi.org/10.3390/w12051495 
  2. Zhuang, R.; Zeng, Y.; Manfreda, S.; Su, Z. Quantifying Long-Term Land Surface and Root Zone Soil Moisture over Tibetan Plateau. Remote Sens. 2020, 12, 509, https://doi.org/10.3390/rs12030509
  3. Wang, Y., Zeng, Y., Yu, L., Yang, P., Van der Tol, C., Yu, Q., Lü, X., Cai, H., and Su, Z.: Integrated modeling of canopy photosynthesis, fluorescence, and the transfer of energy, mass, and momentum in the soil–plant–atmosphere continuum (STEMMUS–SCOPE v1.0.0), Geosci. Model Dev., 14, 1379–1407, https://doi.org/10.5194/gmd-14-1379-2021, 2021
  4. Yu, L., Fatichi, S., Zeng, Y., and Su, Z.: The role of vadose zone physics in the ecohydrological response of a Tibetan meadow to freeze–thaw cycles, The Cryosphere, 14, 4653–4673, https://doi.org/10.5194/tc-14-4653-2020, 2020
  5. Yu, L., Zeng, Y., and Su, Z.: Understanding the Mass, Momentum and Energy Transfer in the Frozen Soil with Three Levels of Model Complexities, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-253Paruta, A., Ciraolo, G., Capodici, F., Manfreda, S., Sasso, S. F. D., Zhuang, R., ... Maltese, A. (2020). A geostatistical approach to map near-surface soil moisture through hyperspatial resolution thermal inertia. IEEE transactions on geoscience and remote sensing, 1-18. https://doi.org/10.1109/TGRS.2020.3019200
  6. Tamburino et al, 2020, Water management for irrigation, crop yield and social attitudes: a socio-agricultural agent-based model to explore a collective action problem, Hydrological Sciences Journal, 65(11), 1815–1829
  7. Paruta, A., Ciraolo, G., Capodici, F., Manfreda, S., Sasso, S. F. D., Zhuang, R., ... Maltese, A. (2020). A geostatistical approach to map near-surface soil moisture through hyperspatial resolution thermal inertia. IEEE transactions on geoscience and remote sensing, 1-18. https://doi.org/10.1109/TGRS.2020.3019200.
  8. Nasta P, Bogena HR, Sica B, Weuthen A, Vereecken H and Romano N (2020) Integrating Invasive and Non-invasive Monitoring Sensors to Detect Field-Scale Soil Hydrological Behavior. Front. Water 2:26. doi: 10.3389/frwa.2020.00026
  9. Romano, N. Intertwining Observations and Predictions in Vadose Zone Hydrology: A Review of Selected Studies. Water 2020, 12, 1107.
  10. Szabó, B., Weynants, M., and Weber, T. K. D.: Updated European hydraulic pedotransfer functions with communicated uncertainties in the predicted variables (euptfv2), Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2020-36
  11. Romano, N., N. Ursino, 2020. Forest fire regime in a Mediterranean ecosystem: unraveling the mutual interrelations between rainfall seasonality, soil moisture, drought persistence, and biomass dynamics. Fire 3, 49:1-19.
  12. Njuki, S.M.; Mannaerts, C.M.; Su, Z. An Improved Approach for Downscaling Coarse-Resolution Thermal Data by Minimizing the Spatial Averaging Biases in Random Forest. Remote Sens. 2020, 12, 3507. https://doi.org/10.3390/rs12213507
  13. Wu, M., Vico, G., Manzoni, S., Cai, Z., Bassiouni, M., Tian, F., et al. (2021). Early growing season anomalies in vegetation activity determine the large‐scale climate‐vegetation coupling in Europe. Journal of Geophysical Research: Biogeosciences, 126, e2020JG006167. https://doi.org/10.1029/2020JG006167
  14. Ruiz-Pérez G, Vico G (2020) Effects of temperature and water availability on Northern European boreal Forests, Frontiers in Forests and Global Change, 3, 34
  15. Bassiouni, M. and Vico, G. (2021), Parsimony versus predictive and functional performance of three stomatal optimization principles in a big‐leaf framework. New Phytologist. Accepted Author Manuscript. https://doi.org/10.1111/nph.17392
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