Dr. Gabriele Baroni

Kontakt

Universität Potsdam,
Institut für Erd- und Umweltwissenschaften

Dr. Gabriele Baroni
Haus 1, Raum 1.30

Karl-Liebknecht-Str. 24-25
14476 Potsdam-Golm
E-Mail:
baroni@uni-potsdam.de
Telefon:
+49 331 977 2805
Fax:
+49 331 977 2092
Dr. Gabriele Baroni

 

  • Biografie
  • Forschung
  • Lehre
  • Publikationen

Biografie

Since 2014
Post Doc at Helmholtz Centre for Environmental Research UFZ Leipzig (Germany)
& Guest at University of Potsdam (Germany)
2010-2014
Post Doc at the University of Potsdam (Germany)
2007-2009
Scientific collaborations at the Dep. of Agricultural Engineering, University of Milan (Italy)
2007
Ph.D in Agricultural Engineering, University of Milan (Italy)
2004
Degree in Environmental Sciences, University of Milan (Italy)

Forschung

  • Soil moisture and water fluxes: monitoring and modelling at different spatial scales
  • Uncertainty and sensitivity analysis
  • Scaling approaches and data assimilation
  • Irrigation systems: crop-soil interactions, irrigation water requirements, planning and management

Lehre

  • Irrigation and agricultural hydrology.
  • Uncertainty and sensitivity analysis.

Publikationen

Schrön, M., Köhli, M., Scheiffele, L., Iwema, J., Bogena, H.R., Lv, L., Martini, E., Baroni, G., Rosolem, R., Weimar, J., Mai, J., Cuntz, M., Rebmann, C., Oswald, S.E., Dietrich, P., Schmidt, U., Zacharias, S., 2017. Improving calibration and validation of cosmic-ray neutron sensors in the light of spatial sensitivity. Hydrol. Earth Syst. Sci. 21, 5009–5030. doi:10.5194/hess-21-5009-2017

Baroni, G., Zink, M., Kumar, R., Samaniego, L., Attinger, S., 2017. Effects of uncertainty in soil properties on simulated hydrological states and fluxes at different spatio-temporal scales. Hydrol. Earth Syst. Sci. 21, 2301–2320. doi:10.5194/hess-21-2301-2017

Schattan, P., Baroni, G., Oswald, S.E., Schöber, J., Fey, C., Kormann, C., Huttenlau, M., Achleitner, S., 2017. Continuous monitoring of snowpack dynamics in alpine terrain by above‐ground neutron sensing. Water Resources Research. doi:10.1002/2016WR020234

Ghasemizade, M., Baroni, G., Abbaspour, K., Schirmer, M., 2017. Combined analysis of time-varying sensitivity and identifiability indices to diagnose the response of a complex environmental model. Environmental Modelling & Software 88, 22–34. doi:10.1016/j.envsoft.2016.10.011

Baroni, G., Oswald, S.E., A scaling approach for the assessment of biomass changes and rainfall interception using cosmic-ray neutron sensing. Journal of Hydrology 525, 264–276 (2015). doi:10.1016/j.jhydrol.2015.03.053

Rivera Villarreyes, C. A., G. Baroni, and S. E. Oswald. Inverse Modelling of Cosmic-Ray Soil Moisture for Field-Scale Soil Hydraulic Parameters. European Journal of Soil Science, (2014). doi:10.1111/ejss.12162.

Baroni, G., Tarantola, S., A General Probabilistic Framework for uncertainty and global sensitivity analysis of deterministic models: A hydrological case study. Environmental Modelling & Software 51 (2014), 26–34. DOI: 10.1016/j.envsoft.2013.09.022.

Baroni, G., Ortuani, B., Facchi, A., Gandolfi, C.: The role of vegetation and soil properties on the spatio-temporal variability of the surface soil moisture in a maize-cropped field. Journal of Hydrology 489 (2013) 148–159, DOI:10.1016/j.jhydrol.2013.03.007.

Rivera Villarreyes, C. A., Baroni, G., and Oswald, S. E.: Integral quantification of seasonal soil moisture changes in farmland by cosmic-ray neutrons, Hydrol. Earth Syst. Sci., 15 (2011), 3843-3859, doi:10.5194/hess-15-3843-2011.

Baroni, G., Facchi, A., Gandolfi, C., Ortuani, B., Horeschi, D., and van Dam, J. C.: Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity, Hydrol. Earth Syst. Sci., 14 (2010), 251-270, doi:10.5194/hess-14-251-2010.

Facchi A., Baroni G., Boschetti M., Gandolfi C., Comparing different methods for determining leaf area index in a maize crop, Journal of Agr. Engineering, 1 (2010), 33-40.

Biografie

Since 2014
Post Doc at Helmholtz Centre for Environmental Research UFZ Leipzig (Germany)
& Guest at University of Potsdam (Germany)
2010-2014
Post Doc at the University of Potsdam (Germany)
2007-2009
Scientific collaborations at the Dep. of Agricultural Engineering, University of Milan (Italy)
2007
Ph.D in Agricultural Engineering, University of Milan (Italy)
2004
Degree in Environmental Sciences, University of Milan (Italy)

Forschung

  • Soil moisture and water fluxes: monitoring and modelling at different spatial scales
  • Uncertainty and sensitivity analysis
  • Scaling approaches and data assimilation
  • Irrigation systems: crop-soil interactions, irrigation water requirements, planning and management

Lehre

  • Irrigation and agricultural hydrology.
  • Uncertainty and sensitivity analysis.

Publikationen

Schrön, M., Köhli, M., Scheiffele, L., Iwema, J., Bogena, H.R., Lv, L., Martini, E., Baroni, G., Rosolem, R., Weimar, J., Mai, J., Cuntz, M., Rebmann, C., Oswald, S.E., Dietrich, P., Schmidt, U., Zacharias, S., 2017. Improving calibration and validation of cosmic-ray neutron sensors in the light of spatial sensitivity. Hydrol. Earth Syst. Sci. 21, 5009–5030. doi:10.5194/hess-21-5009-2017

Baroni, G., Zink, M., Kumar, R., Samaniego, L., Attinger, S., 2017. Effects of uncertainty in soil properties on simulated hydrological states and fluxes at different spatio-temporal scales. Hydrol. Earth Syst. Sci. 21, 2301–2320. doi:10.5194/hess-21-2301-2017

Schattan, P., Baroni, G., Oswald, S.E., Schöber, J., Fey, C., Kormann, C., Huttenlau, M., Achleitner, S., 2017. Continuous monitoring of snowpack dynamics in alpine terrain by above‐ground neutron sensing. Water Resources Research. doi:10.1002/2016WR020234

Ghasemizade, M., Baroni, G., Abbaspour, K., Schirmer, M., 2017. Combined analysis of time-varying sensitivity and identifiability indices to diagnose the response of a complex environmental model. Environmental Modelling & Software 88, 22–34. doi:10.1016/j.envsoft.2016.10.011

Baroni, G., Oswald, S.E., A scaling approach for the assessment of biomass changes and rainfall interception using cosmic-ray neutron sensing. Journal of Hydrology 525, 264–276 (2015). doi:10.1016/j.jhydrol.2015.03.053

Rivera Villarreyes, C. A., G. Baroni, and S. E. Oswald. Inverse Modelling of Cosmic-Ray Soil Moisture for Field-Scale Soil Hydraulic Parameters. European Journal of Soil Science, (2014). doi:10.1111/ejss.12162.

Baroni, G., Tarantola, S., A General Probabilistic Framework for uncertainty and global sensitivity analysis of deterministic models: A hydrological case study. Environmental Modelling & Software 51 (2014), 26–34. DOI: 10.1016/j.envsoft.2013.09.022.

Baroni, G., Ortuani, B., Facchi, A., Gandolfi, C.: The role of vegetation and soil properties on the spatio-temporal variability of the surface soil moisture in a maize-cropped field. Journal of Hydrology 489 (2013) 148–159, DOI:10.1016/j.jhydrol.2013.03.007.

Rivera Villarreyes, C. A., Baroni, G., and Oswald, S. E.: Integral quantification of seasonal soil moisture changes in farmland by cosmic-ray neutrons, Hydrol. Earth Syst. Sci., 15 (2011), 3843-3859, doi:10.5194/hess-15-3843-2011.

Baroni, G., Facchi, A., Gandolfi, C., Ortuani, B., Horeschi, D., and van Dam, J. C.: Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity, Hydrol. Earth Syst. Sci., 14 (2010), 251-270, doi:10.5194/hess-14-251-2010.

Facchi A., Baroni G., Boschetti M., Gandolfi C., Comparing different methods for determining leaf area index in a maize crop, Journal of Agr. Engineering, 1 (2010), 33-40.