Simulated daily weather dynamics and gross primary production in 3 locations for 100,000 years
Creators
- 1. University of Bern
- 2. University of Lausanne
Description
IMPORTANT NOTE: The data in version 1 of this record, due to an error of units in the precipitation, had a non-physical vegetation growth and gross primary production. This has been fixed in version 2 of the record/dataset. Further, version 2 of the dataset contains 3 locations because the sites called "Grassland" and "Temperate" site produced the same type of vegetation (just grasses) in version 2, that contains therefore only a "Temperate" site.
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The dataset reports daily temperature, precipitation, radiation and gross primary production in 3 different geographic locations (denoted as Temperate, Boreal and Tropical), representative of different climates and vegetation distributions, for 100,000 years. Each of the .nc files contains the dataset corresponding to one particular site.
The weather data was produced using the AWE-GEN stochastic weather generator model ( Fatichi et al., Water Resources, 34(4):448–467 (2011) ). Vegetation dynamics and gross primary production are simulated via the dynamic global vegetation model LPX-Bern v1.4 ( Lienert and Joos, Biogeosciences, 15(9):2909–2930 (2018) ). The foliar projective cover is also reported at an annual scale.
Notes
Files
Files
(2.6 GB)
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md5:e0aec90190a24950bc2a39a8254a17da
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880.8 MB | Download |
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md5:7f0a3e8c4a98741f973d665733982f59
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880.8 MB | Download |
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md5:6a47d1f23b6a52fc0e9975df529f6944
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880.8 MB | Download |
Additional details
Funding
- Swiss National Science Foundation
- Machine learning for detecting compound climate drivers of extreme impacts IZCOZ0_189908
- Swiss National Science Foundation
- New metrics for constraining multiple drivers of hazard and compound hazards PZ00P2_179876