provide forecast dataset combinations for the frontend

[ricardogsilva]

Provide an appropriate structure for the frontend to build its navigation dynamically. Need to account for the particularities of the various coverage configurations, which vary according with:

• climatological variable ({TAS, HWDI, ...})
• aggregation period ({annual, 30yr})
• measure ({anomaly, absolute})

Examples:

• hwdi-30yr-anomaly

  • climatological_model: [model_ensemble, ec_earth_cclm_4_8_17, ec_earth_racmo22e, ec_earth_rca4, hadgem2_es_racmo22e, mpi_esm_lr_remo2009]
  • scenario: [rcp26, rcp45, rcp85]
  • time_window: [tw1, tw2]
  • year_period: [jja,]

• tas-annual-anomaly

  • climatological_model: [model_ensemble, ec_earth_cclm_4_8_17, ec_earth_racmo22e, ec_earth_rca4, hadgem2_es_racmo22e, mpi_esm_lr_remo2009]
  • scenario: [rcp26, rcp45, rcp85]
  • year_period: [djf, mam, jja, son]

• tas-annual-absolute

  • climatological_model: [model_ensemble, ec_earth_cclm_4_8_17, ec_earth_racmo22e, ec_earth_rca4, hadgem2_es_racmo22e, mpi_esm_lr_remo2009]
  • scenario: [rcp26, rcp45, rcp85]
  • year_period: [year, djf, mam, jja, son]

• tas-30yr-anomaly

  • climatological_model: [model_ensemble, ec_earth_cclm_4_8_17, ec_earth_racmo22e, ec_earth_rca4, hadgem2_es_racmo22e, mpi_esm_lr_remo2009]
  • scenario: [rcp26, rcp45, rcp85]
  • time_window: [tw1, tw2]
  • year_period: [djf, mam, jja, son]

• tasmax-annual-absolute

  • climatological_model: [model_ensemble, ec_earth_cclm_4_8_17, ec_earth_racmo22e, ec_earth_rca4, hadgem2_es_racmo22e, mpi_esm_lr_remo2009]
  • scenario: [rcp26, rcp45, rcp85]
  • year_period: [year, djf, mam, jja, son]

• tasmax-30yr-anomaly

  • climatological_model: [model_ensemble, ec_earth_cclm_4_8_17, ec_earth_racmo22e, ec_earth_rca4, hadgem2_es_racmo22e, mpi_esm_lr_remo2009]
  • scenario: [rcp26, rcp45, rcp85]
  • time_window: [tw1, tw2]
  • year_period: [djf, mam, jja, son]