Slot: Bias Correction Applied (bias_correction_applied)

Whether and how bias correction has been applied. Usually none for Tmax from reference products.

Tier: recommended

Why this slot matters

Pooling bias-corrected and raw values silently mixes apples and oranges. Without this flag, an analyst cannot tell whether two datasets differ because of the environment or because one of them was statistically adjusted.

In plain terms

Sometimes model output is nudged after the fact to better match real observations — that nudging is "bias correction". This slot records whether the numbers were adjusted that way and, if so, which technique was used.

URI: envar:slot/bias_correction_applied

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	BiasCorrectionAppliedEnum
Domain Of	ExposureModel

Cardinality and Requirements

Property	Value

Examples

Value
none

Identifier and Mapping Information

Annotations

property	value
tier	recommended
justification	Pooling bias-corrected and raw values silently mixes apples and oranges. Without this flag, an analyst cannot tell whether two datasets differ because of the environment or because one of them was statistically adjusted.
explanation	Sometimes model output is nudged after the fact to better match real observations — that nudging is "bias correction". This slot records whether the numbers were adjusted that way and, if so, which technique was used.
covered_by	None

Schema Source

• from schema: https://w3id.org/linkml/microschemas/envar

Mappings

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

LinkML Source

name: bias_correction_applied
annotations:
  tier:
    tag: tier
    value: recommended
  justification:
    tag: justification
    value: Pooling bias-corrected and raw values silently mixes apples and oranges.
      Without this flag, an analyst cannot tell whether two datasets differ because
      of the environment or because one of them was statistically adjusted.
  explanation:
    tag: explanation
    value: Sometimes model output is nudged after the fact to better match real observations
      — that nudging is "bias correction". This slot records whether the numbers were
      adjusted that way and, if so, which technique was used.
  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 bias-correction flag for the source model.
      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 bias-correction flag.
      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 bias-correction flag.
      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's data_level codes track processing stage but do not flag
              whether statistical bias correction was applied.
      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: Bias correction is instance-layer derivation metadata the CDIF
              / DDI-CDI conceptual and represented layers do not carry.
description: Whether and how bias correction has been applied. Usually `none` for
  Tmax from reference products.
title: Bias Correction Applied
examples:
- value: none
  description: Daymet V4 daily Tmax is used uncorrected
from_schema: https://w3id.org/linkml/microschemas/envar
rank: 1000
domain_of:
- ExposureModel
range: BiasCorrectionAppliedEnum