Climate indicators (temperature and precipitation) are particularly important in times of global climate change because they create the preconditions for the development of wind erosion. The main goal of this research is to analyse the land's susceptibility to wind erosion in the future, using the fuzzy logic for the non-growing season (March and November) as well as for the growing season (July). The climate factor (CF) has been calculated for four different time periods: 1971-2000, 2011-2040, 2041-2070 and 2071-2100. The data were extracted for 11 different combinations of regional climate models (RCMs) and global climate models (GCMs) using the EURO-CORDEX database. The climate sensitivity to wind erosion is bound to be significantly higher in the growing season (late 21st century) due to the increase in the average monthly air temperature and the decrease in precipitation.
TY - JOUR
AU - Baumgertel, Aleksandar
AU - Lukić, Sara
AU - Caković, Milica
AU - Miljković, Predrag
AU - Tošić, Milica
AU - Lazić, Irida
AU - Đurđević, Vladimir
AU - Marković, Mladen
PY - 2022
UR - https://omorika.sfb.bg.ac.rs/handle/123456789/1291
AB - Climate indicators (temperature and precipitation) are particularly important in times of global climate change because they create the preconditions for the development of wind erosion. The main goal of this research is to analyse the land's susceptibility to wind erosion in the future, using the fuzzy logic for the non-growing season (March and November) as well as for the growing season (July). The climate factor (CF) has been calculated for four different time periods: 1971-2000, 2011-2040, 2041-2070 and 2071-2100. The data were extracted for 11 different combinations of regional climate models (RCMs) and global climate models (GCMs) using the EURO-CORDEX database. The climate sensitivity to wind erosion is bound to be significantly higher in the growing season (late 21st century) due to the increase in the average monthly air temperature and the decrease in precipitation.
T2 - International Journal of Global Warming
T1 - Spatiotemporal analysis of the future sensitivity to wind erosion using ensemble of the regional climate models: a case study
EP - 299
IS - 3
SP - 284
VL - 27
DO - 10.1504/IJGW.2022.124203
UR - conv_1646
ER -
@article{
author = "Baumgertel, Aleksandar and Lukić, Sara and Caković, Milica and Miljković, Predrag and Tošić, Milica and Lazić, Irida and Đurđević, Vladimir and Marković, Mladen",
year = "2022",
abstract = "Climate indicators (temperature and precipitation) are particularly important in times of global climate change because they create the preconditions for the development of wind erosion. The main goal of this research is to analyse the land's susceptibility to wind erosion in the future, using the fuzzy logic for the non-growing season (March and November) as well as for the growing season (July). The climate factor (CF) has been calculated for four different time periods: 1971-2000, 2011-2040, 2041-2070 and 2071-2100. The data were extracted for 11 different combinations of regional climate models (RCMs) and global climate models (GCMs) using the EURO-CORDEX database. The climate sensitivity to wind erosion is bound to be significantly higher in the growing season (late 21st century) due to the increase in the average monthly air temperature and the decrease in precipitation.",
journal = "International Journal of Global Warming",
title = "Spatiotemporal analysis of the future sensitivity to wind erosion using ensemble of the regional climate models: a case study",
pages = "299-284",
number = "3",
volume = "27",
doi = "10.1504/IJGW.2022.124203",
url = "conv_1646"
}
Baumgertel, A., Lukić, S., Caković, M., Miljković, P., Tošić, M., Lazić, I., Đurđević, V.,& Marković, M.. (2022). Spatiotemporal analysis of the future sensitivity to wind erosion using ensemble of the regional climate models: a case study. in International Journal of Global Warming, 27(3), 284-299.
https://doi.org/10.1504/IJGW.2022.124203
conv_1646
Baumgertel A, Lukić S, Caković M, Miljković P, Tošić M, Lazić I, Đurđević V, Marković M. Spatiotemporal analysis of the future sensitivity to wind erosion using ensemble of the regional climate models: a case study. in International Journal of Global Warming. 2022;27(3):284-299.
doi:10.1504/IJGW.2022.124203
conv_1646 .
Baumgertel, Aleksandar, Lukić, Sara, Caković, Milica, Miljković, Predrag, Tošić, Milica, Lazić, Irida, Đurđević, Vladimir, Marković, Mladen, "Spatiotemporal analysis of the future sensitivity to wind erosion using ensemble of the regional climate models: a case study" in International Journal of Global Warming, 27, no. 3 (2022):284-299,
https://doi.org/10.1504/IJGW.2022.124203 .,
conv_1646 .
