Articles | Volume 4, issue 1/2
https://doi.org/10.5194/ascmo-4-37-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ascmo-4-37-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
05 Dec 2018
| 05 Dec 2018
Downscaling probability of long heatwaves based on seasonal mean daily maximum temperatures
Rasmus E. Benestad
CORRESPONDING AUTHOR
The Norwegian Meteorological institute, Henrik Mohns plass 1, 0313 Oslo, Norway
Bob van Oort
CICERO Center for International Climate Research, Gaustadalléen 21, 0349 Oslo, Norway
Flavio Justino
Universidade Federal de Viçosa, Department of Agricultural Engineering, Viçosa, MG, Brazil
Frode Stordal
Department of Geosciences, University of Oslo, P.O. Box 1047 Blindern, 0316 Oslo, Norway
Kajsa M. Parding
The Norwegian Meteorological institute, Henrik Mohns plass 1, 0313 Oslo, Norway
Abdelkader Mezghani
The Norwegian Meteorological institute, Henrik Mohns plass 1, 0313 Oslo, Norway
Helene B. Erlandsen
The Norwegian Meteorological institute, Henrik Mohns plass 1, 0313 Oslo, Norway
Jana Sillmann
CICERO Center for International Climate Research, Gaustadalléen 21, 0349 Oslo, Norway
Milton E. Pereira-Flores
Universidade Federal de Viçosa, Department of Agricultural Engineering, Viçosa, MG, Brazil
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Rasmus E. Benestad
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Revised manuscript not accepted
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Benjamin Poschlod, Ralf Ludwig, and Jana Sillmann
Earth Syst. Sci. Data, 13, 983–1003, https://doi.org/10.5194/essd-13-983-2021, https://doi.org/10.5194/essd-13-983-2021, 2021
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Peter Horvath, Hui Tang, Rune Halvorsen, Frode Stordal, Lena Merete Tallaksen, Terje Koren Berntsen, and Anders Bryn
Biogeosciences, 18, 95–112, https://doi.org/10.5194/bg-18-95-2021, https://doi.org/10.5194/bg-18-95-2021, 2021
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We evaluated the performance of three methods for representing vegetation cover. Remote sensing provided the best match to a reference dataset, closely followed by distribution modelling (DM), whereas the dynamic global vegetation model (DGVM) in CLM4.5BGCDV deviated strongly from the reference. Sensitivity tests show that use of threshold values for predictors identified by DM may improve DGVM performance. The results highlight the potential of using DM in the development of DGVMs.
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Short summary
A new study indicates that heatwaves in India will become more frequent and last longer with global warming. Its results were derived from a large number of global climate models, and the calculations differed from previous studies in the way they included advanced statistical theory. The projected changes in the Indian heatwaves will have a negative consequence for wheat crops in India.
A new study indicates that heatwaves in India will become more frequent and last longer with...
