Open 0UmfHxcvx5J7JoaOhFSs5mncnisTJJ6q opened 2 months ago
> read.quitte('./core/input/historical/historical.mif') %>% filter('GDP|MER' == variable, !is.na(value)) # A tibble: 9 × 7 model scenario region variable unit period value <fct> <fct> <fct> <fct> <fct> <int> <dbl> 1 INNOPATHS historical EUR GDP|MER billion US$2005/yr 2010 365. 2 INNOPATHS historical EUR GDP|MER billion US$2005/yr 2015 380. 3 INNOPATHS historical EUR GDP|MER billion US$2005/yr 2020 411. 4 INNOPATHS historical EUR GDP|MER billion US$2005/yr 2025 441. 5 INNOPATHS historical EUR GDP|MER billion US$2005/yr 2030 472. 6 INNOPATHS historical EUR GDP|MER billion US$2005/yr 2035 508. 7 INNOPATHS historical EUR GDP|MER billion US$2005/yr 2040 549. 8 INNOPATHS historical EUR GDP|MER billion US$2005/yr 2045 592. 9 INNOPATHS historical EUR GDP|MER billion US$2005/yr 2050 637.
Or possibly wrong aggregation?
Should be due to wrong aggregation (values for GDP should be summed up, but are currently averaged). Fix: https://github.com/pik-piam/mrremind/pull/495