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weather is a data-carrying class with exogenous shocks used to influence operation of processes in the model.

Details

Weather factors are separated from the model parameters and can be added or replaced for different scenarios. !!!Additional details...

Slots

name

character. Name of the weather factor, used in sets.

desc

character. Description of the weather factor.

unit

character. Unit of the weather factor.

geoframe

character. Optional. The geoscale level this object's regions are expressed at; unset (the default) derives it from the region codes. See technology@geoframe for the full rule, including the consistency checks it turns on. A weather factor is multiplicative and balances nothing, so no commodity rule applies. This is the class where declaring the level matters most: left unset, a series whose data names no region spans every region of every level, where naming the level scopes it to that level alone.

region

character. Region(s) the weather factor is declared at. May be a COARSER region of the model's geoscale than the processes that use it: a process reads the series at its own region when the object serves it, otherwise at the NEAREST ancestor that does. One profile declared at a parent therefore feeds every child region from a single stored series instead of being copied per child. Unset means every region. A process whose region the object neither serves nor has an ancestor for is an error – the factor is multiplicative and defaults to 0, so an unresolved link would shut the process down silently.

timeframe

character. Timeframe of the weather factor.

defVal

numeric. Default value of the weather factor, 0 by default.

cluster

data.frame. Declaration of the object's parallel series. For weather a cluster is a RESOURCE TIER – one profile per grade of the same resource, so a single object covers a whole tier set instead of one hand-named object per tier. This slot declares WHAT the tiers are; the per-tier values live in the cluster column of weather. It is REQUIRED whenever that column carries a label, and authoritative: labels are never harvested from the series, so a misspelled tier is an error rather than a series nobody asked for. At interpolation each tier referenced by a process is cloned into an ordinary weather object named with the model's cluster prefix (WWIN tier T3 -> WWIN_CLT3), so the backends only ever see plain series. A consumer finds its tier BY CLUSTER NAME: a weather link row of a technology, storage or supply carrying cluster = "T3" reads this object's T3 rows. A link row with no cluster reads an unclustered object whole, as before, and is an ERROR against a clustered one – the factor is multiplicative, so "every tier at once" has no reading. LIMITATION – there are deliberately no share columns. A share ties parallel parts' capacity or activity to fixed proportions, and a capacity-factor series has neither. Size the tiers on the processes that read them.

cluster

character. Tier label, used in the expanded object name.

desc

character. Description of the tier.

region

character. Region(s) the tier's series is declared for, NA for everywhere. Intersected with the object's own region slot. A process whose region no tier series covers (directly or through the nearest ancestor) is an error, not a silent zero.

order

integer. Reporting order, 1 = the best tier. Without it labels sort alphabetically and "T10" would precede "T2".

weather

data.frame. Weather factor values.

cluster

character. Tier this row belongs to, NA for every tier. See the cluster slot.

region

character. Region name to apply the parameter, NA for every region.

year

integer. Year to apply the parameter, NA for every year.

timeslice

character. Time timeslice to apply the parameter, NA for every timeslice.

wval

numeric. Weather factor value.

misc

list. Additional information.