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Published July 15, 2021 | Version v1
Dataset Restricted

Simulated daily weather dynamics and gross primary production in 4 locations for 100,000 years

  • 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. Further, version 2 of the data-set contains 3 locations because after fixing the error the sites called "Grassland" and "Temperate" site produced the same type of vegetation (only herbs) 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 4 different geographic locations, 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

This data-set has been used in the work "Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks", to be submitted soon.

Files

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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