Published January 25, 2023
| Version v1.0.submission
Dataset
Open
Dataset associated with Senf et al. (2023): "How the extreme 2019-2020 Australian wildfire affected global circulation and adjustments"
Authors/Creators
- 1. Leibniz Institute for Tropospheric Research, Leipzig, Germany.
Description
This contains data aggregates derived from global ECHAM-HAM simulation for the study for effects due to the extreme Australian wildfire event 2019/2020. This data build the basis for analysis and figures in Senf et al. (2023) submitted to ACP.
Simulation Data are
- available for freely running ensembles (36 member) and nudged simulations
- conducted for fire emissions artificially scaled with factors 0, 1, 2, 3, 5.
- stored for Jan - Mar 2020
Files
Files
(756.1 MB)
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md5:244f0a8e19b9160c5e5a993f947c4c8c
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63.9 MB | Download |
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md5:7bf64d3cc8130eac700019298ce96816
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56.6 MB | Download |
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md5:114fefcb60dbb8fedd801dd1410fb5ef
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310.3 MB | Download |
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md5:29ff1fc4cd9383608dbf11621389ba8b
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1.0 MB | Download |
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md5:2b46982f6764f2c77e4c011d0b7611dd
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289.3 MB | Download |
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md5:09f58a8d2fae04b10b1c9bc76f7bd9b9
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2.3 MB | Download |
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md5:e6393826da2509b7f532101d84380147
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345.5 kB | Download |
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md5:cd7ad1b943767852e035c95edccb745b
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27.1 MB | Download |
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md5:c5b7f7c4f9ec499e4de8f076b5513543
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5.2 MB | Download |