Inputs to the model. For GridMET: ["PRISM monthly normals", "NLDAS-2 sub-daily reanalysis"]. For derived heat metrics, the input variable list (held in DerivedHeatMetric.equation_inputs for typed cases).
Tier: recommended
Why this slot matters
Needed to trace what the value actually derives from. Without the input list, a shared bias or gap in an upstream dataset cannot be traced through to the exposure values it contaminated.
In plain terms
A model is only as good as what you feed it. This lists the raw ingredients — station readings, satellite images, other datasets — that went into cooking up the final numbers.
URI: envar:slot/exposure_model_inputs
Applicable Classes
| Name |
Description |
Modifies Slot |
| ExposureModel |
The model class that produced the values (interpolation, reanalysis, ML, stat... |
no |
Properties
Type and Range
Cardinality and Requirements
| Property |
Value |
| Multivalued |
Yes |
Examples
| Value |
| GHCN-Daily station observations |
See Also
Annotations
| property |
value |
| tier |
recommended |
| justification |
Needed to trace what the value actually derives from. Without the input list, a shared bias or gap in an upstream dataset cannot be traced through to the exposure values it contaminated. |
| explanation |
A model is only as good as what you feed it. This lists the raw ingredients — station readings, satellite images, other datasets — that went into cooking up the final numbers. |
| covered_by |
None |
Schema Source
Mappings
| Mapping Type |
Mapped Value |
| self |
envar:exposure_model_inputs |
| native |
envar:exposure_model_inputs |
LinkML Source
name: exposure_model_inputs
annotations:
tier:
tag: tier
value: recommended
justification:
tag: justification
value: Needed to trace what the value actually derives from. Without the input
list, a shared bias or gap in an upstream dataset cannot be traced through to
the exposure values it contaminated.
explanation:
tag: explanation
value: A model is only as good as what you feed it. This lists the raw ingredients
— station readings, satellite images, other datasets — that went into cooking
up the final numbers.
covered_by:
tag: covered_by
annotations:
omop_gaia:
tag: omop_gaia
annotations:
extent:
tag: extent
value: absent
status:
tag: status
value: asserted
where:
tag: where
value: no column
note:
tag: note
value: GAIA has no slot anywhere for model inputs.
degauss:
tag: degauss
annotations:
extent:
tag: extent
value: absent
status:
tag: status
value: asserted
where:
tag: where
value: no column
note:
tag: note
value: DeGAUSS carries no model-input list.
amadeus:
tag: amadeus
annotations:
extent:
tag: extent
value: absent
status:
tag: status
value: asserted
where:
tag: where
value: no column
note:
tag: note
value: Amadeus carries no model-input list.
cher:
tag: cher
annotations:
extent:
tag: extent
value: partial
status:
tag: status
value: asserted
where:
tag: where
value: dataset_lineage (parent resources of a computed/modeled resource)
note:
tag: note
value: C-HER's dataset_lineage links parent resources a child was calculated/modeled
from, but as resource FKs, not a named model-input variable list.
codata:
tag: codata
annotations:
extent:
tag: extent
value: out_of_layer
status:
tag: status
value: asserted
where:
tag: where
value: no column
note:
tag: note
value: Model inputs are instance-layer derivation provenance that the
CDIF / DDI-CDI conceptual and represented layers do not carry (related-approaches.md
§4).
description: 'Inputs to the model. For GridMET: `["PRISM monthly normals", "NLDAS-2
sub-daily reanalysis"]`. For derived heat metrics, the input variable list (held
in `DerivedHeatMetric.equation_inputs` for typed cases).'
title: Exposure Model Inputs
examples:
- value: GHCN-Daily station observations
description: sole element of the Daymet V4 input list
from_schema: https://w3id.org/linkml/microschemas/envar
see_also:
- https://prism.oregonstate.edu/
rank: 1000
domain_of:
- ExposureModel
range: string
multivalued: true