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Slot: Known Model Biases (exposure_model_known_biases)

Free-text flags of known issues, e.g. "NLDAS-2 coastal Tmax bias up to -1.48 °C", "NARR cold bias at extremes", "Daymet warm bias in summer in some western US regions". The field reviewers care about.

Tier: recommended

Why this slot matters

The field reviewers care about most; it bites coastal and sparse-station analyses in particular. Omitting it lets a documented systematic error (e.g. a coastal cold bias) silently propagate into health-effect estimates that reviewers will later reject.

In plain terms

Every model has known blind spots — places or conditions where it is reliably a bit wrong, like running warm in summer or cold at the coast. This slot writes those warnings down so the next person does not rediscover them the hard way.

URI: envar:slot/exposure_model_known_biases

Applicable Classes

Name Description Modifies Slot
ExposureModel The model class that produced the values (interpolation, reanalysis, ML, stat... no

Properties

Type and Range

Property Value
Range String
Domain Of ExposureModel

Cardinality and Requirements

Property Value
Multivalued Yes

Examples

Value
warm-season warm bias documented in some western US regions
interpolation degrades in sparse-station areas

See Also

Identifier and Mapping Information

Annotations

property value
tier recommended
justification The field reviewers care about most; it bites coastal and sparse-station analyses in particular. Omitting it lets a documented systematic error (e.g. a coastal cold bias) silently propagate into health-effect estimates that reviewers will later reject.
explanation Every model has known blind spots — places or conditions where it is reliably a bit wrong, like running warm in summer or cold at the coast. This slot writes those warnings down so the next person does not rediscover them the hard way.
covered_by None

Schema Source

Mappings

Mapping Type Mapped Value
self envar:exposure_model_known_biases
native envar:exposure_model_known_biases

LinkML Source

name: exposure_model_known_biases
annotations:
  tier:
    tag: tier
    value: recommended
  justification:
    tag: justification
    value: The field reviewers care about most; it bites coastal and sparse-station
      analyses in particular. Omitting it lets a documented systematic error (e.g.
      a coastal cold bias) silently propagate into health-effect estimates that reviewers
      will later reject.
  explanation:
    tag: explanation
    value: Every model has known blind spots — places or conditions where it is reliably
      a bit wrong, like running warm in summer or cold at the coast. This slot writes
      those warnings down so the next person does not rediscover them the hard way.
  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 carries no known-model-biases field.
      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 known-model-biases field.
      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 known-model-biases field.
      cher:
        tag: cher
        annotations:
          extent:
            tag: extent
            value: absent
          status:
            tag: status
            value: asserted
          where:
            tag: where
            value: no column
          note:
            tag: note
            value: C-HER has free-text description/notes but no structured known-biases
              field for the source model.
      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: Known model biases are instance-layer quality metadata the CDIF
              / DDI-CDI conceptual and represented layers do not carry.
description: Free-text flags of known issues, e.g. "NLDAS-2 coastal Tmax bias up to
  -1.48 °C", "NARR cold bias at extremes", "Daymet warm bias in summer in some western
  US regions". The field reviewers care about.
title: Known Model Biases
examples:
- value: warm-season warm bias documented in some western US regions
  description: one known bias of Daymet V4 daily Tmax
- value: interpolation degrades in sparse-station areas
  description: another element of the same Daymet V4 bias list
from_schema: https://w3id.org/linkml/microschemas/envar
see_also:
- https://psl.noaa.gov/data/gridded/data.narr.html
- https://daymet.ornl.gov/
rank: 1000
domain_of:
- ExposureModel
range: string
multivalued: true