Branislava Lali ́C | University of Novi Sad (original) (raw)
Papers by Branislava Lali ́C
J Appl Meteorol, 1995
The correct simulation of the sensible and latent heat fluxes from a non-plant-covered surface is... more The correct simulation of the sensible and latent heat fluxes from a non-plant-covered surface is very important in designing the surface scheme for modeling the processes in the land air exchange. However, using different bare soil evaporation schemes in land surface parameterization, an error in partitioning the surface fluxes can be introduced.In parameterization of evaporation from a non-plant-covered surface in resistance representation, the and approaches are commonly used in corresponding formulas where the and are functions of soil water content. The performance of different schemes within these approaches is briefly discussed. For that purpose six schemes, based on different dependence or on volumetric soil moisture content and its saturated value, are used.The latent and sensible heat fluxes and the ground temperature outputs were obtained from the numerical tests using the foregoing schemes. The tests were based on time integrations by the bare soil parameterization scheme using real data. The datasets obtained over the experimental site in Rimski anevi, Yugoslavia, on chernozem soil were used.The obtained values of the latent and sensible heat fluxes and the ground temperature were compared with the observed values. Finally, their variability was considered using a simple root-mean-square analysis.
International Journal of Climatology, 1999
DRAGUTIN T. MIHAILOVIC´a,*, GEORGE KALLOSb, ILIJA D. ARSENIC´a, BRANISLAVA LALIC´a, BORIVOJ RAJKO... more DRAGUTIN T. MIHAILOVIC´a,*, GEORGE KALLOSb, ILIJA D. ARSENIC´a, BRANISLAVA LALIC´a, BORIVOJ RAJKOVIC´c and ATANASIOS PAPADOPOULOSb a Faculty of Agriculture, Uni6ersity of No6i Sad and Center for Meteorology and En6ironmental ...
Crop growth and yield are affected by water use during the season: the green water footprint (WF)... more Crop growth and yield are affected by water use during the season: the green water footprint (WF) accounts for rain water, the blue WF for irrigation and the grey WF for diluting agri-chemicals. We calibrated crop yield for FAO's water balance model " Aquacrop " at field level. We collected weather, soil and crop inputs for 45 locations for the period 1992–2012. Calibrated model runs were conducted for wheat, barley, grain maize, oilseed rape, potato and sugar beet. The WF of cereals could be up to 20 times larger than the WF of tuber and root crops; the largest share was attributed to the green WF. The green and blue WF compared favourably with global benchmark values (R 2 = 0.64–0.80; d = 0.91–0.95). The variability in the WF of arable crops across different regions in Europe is mainly due to variability in crop yield (cv = 45%) and to a lesser extent to variability in crop water use (cv = 21%). The WF variability between countries (cv = 14%) is lower than the variability between seasons (cv = 22%) and between crops (cv = 46%). Though modelled yields increased up to 50% under sprinkler irrigation, the water footprint still increased between 1% and 25%. Confronted with drainage and runoff, the grey WF tended to overestimate the contribution of nitrogen to the surface and groundwater. The results showed that the water footprint provides a measurable indicator that may support European water governance.
J Appl Meteorol, 1995
The correct simulation of the sensible and latent heat fluxes from a non-plant-covered surface is... more The correct simulation of the sensible and latent heat fluxes from a non-plant-covered surface is very important in designing the surface scheme for modeling the processes in the land air exchange. However, using different bare soil evaporation schemes in land surface parameterization, an error in partitioning the surface fluxes can be introduced.In parameterization of evaporation from a non-plant-covered surface in resistance representation, the and approaches are commonly used in corresponding formulas where the and are functions of soil water content. The performance of different schemes within these approaches is briefly discussed. For that purpose six schemes, based on different dependence or on volumetric soil moisture content and its saturated value, are used.The latent and sensible heat fluxes and the ground temperature outputs were obtained from the numerical tests using the foregoing schemes. The tests were based on time integrations by the bare soil parameterization scheme using real data. The datasets obtained over the experimental site in Rimski anevi, Yugoslavia, on chernozem soil were used.The obtained values of the latent and sensible heat fluxes and the ground temperature were compared with the observed values. Finally, their variability was considered using a simple root-mean-square analysis.
International Journal of Climatology, 1999
DRAGUTIN T. MIHAILOVIC´a,*, GEORGE KALLOSb, ILIJA D. ARSENIC´a, BRANISLAVA LALIC´a, BORIVOJ RAJKO... more DRAGUTIN T. MIHAILOVIC´a,*, GEORGE KALLOSb, ILIJA D. ARSENIC´a, BRANISLAVA LALIC´a, BORIVOJ RAJKOVIC´c and ATANASIOS PAPADOPOULOSb a Faculty of Agriculture, Uni6ersity of No6i Sad and Center for Meteorology and En6ironmental ...
Crop growth and yield are affected by water use during the season: the green water footprint (WF)... more Crop growth and yield are affected by water use during the season: the green water footprint (WF) accounts for rain water, the blue WF for irrigation and the grey WF for diluting agri-chemicals. We calibrated crop yield for FAO's water balance model " Aquacrop " at field level. We collected weather, soil and crop inputs for 45 locations for the period 1992–2012. Calibrated model runs were conducted for wheat, barley, grain maize, oilseed rape, potato and sugar beet. The WF of cereals could be up to 20 times larger than the WF of tuber and root crops; the largest share was attributed to the green WF. The green and blue WF compared favourably with global benchmark values (R 2 = 0.64–0.80; d = 0.91–0.95). The variability in the WF of arable crops across different regions in Europe is mainly due to variability in crop yield (cv = 45%) and to a lesser extent to variability in crop water use (cv = 21%). The WF variability between countries (cv = 14%) is lower than the variability between seasons (cv = 22%) and between crops (cv = 46%). Though modelled yields increased up to 50% under sprinkler irrigation, the water footprint still increased between 1% and 25%. Confronted with drainage and runoff, the grey WF tended to overestimate the contribution of nitrogen to the surface and groundwater. The results showed that the water footprint provides a measurable indicator that may support European water governance.