SUEWS parameter database

curated values, linked and searchable, a citation on every one Home · Map · suews.io
browse · archetypes/surfaces/evetr/beijing-china--mixed-evergreen-trees.yml

Evergreen trees · surfaces — Mixed Evergreen Treesevetr composite

Surface bundlesevetrbeijingcity

Composition

This composite is assembled from the entries below. Each evidence record keeps its own scientific review; a separate composition review assesses why these components were selected and how they are mapped.

albedoEvergreen trees generic Awaiting sign-off
alb_min 0.1 · alb_max 0.1
emissivityEvergreen trees generic Awaiting sign-off
emis 0.98
water_storageEvergreen Tree swindon Awaiting sign-off
storage_drain_params.store_min 1.3 · storage_drain_params.store_max 1.3
leaf_area_indexConiferous trees generic Awaiting sign-off
lai.lai_type 0 · lai.lai_min 4 · lai.lai_max 5.1
leaf_growth_powerEvergreen Tree, LaiEq = 0 beijing Awaiting sign-off
lai.lai_power.growth_lai -1.42 · lai.lai_power.growth_gdd 0.00258 · lai.lai_power.senescence_lai 2
drainageEvergreenTree generic Awaiting sign-off
storage_drain_params.drain_eq 3 · storage_drain_params.drain_coef_1 0.013 · storage_drain_params.drain_coef_2 1.71
max_vegetation_conductanceEvergreen Tree beijing Awaiting sign-off
max_conductance 1.4
porosityDummy value generic Agent assessed
biogen_co2Mixed trees helsinki Awaiting sign-off
alpha_bio_co2 0.031 · beta_bio_co2 8.3463 · theta_bio_co2 0.723
snow_lim_patchEvergreen Tree generic Awaiting sign-off
snowpack_limit 190
vegetation_growthEvergreen Tree helsinki Curation required
lai.base_temperature 5 · lai.base_temperature_senescence 10 · lai.gdd_full 300
ohm · summer_wetMixed Forest [20] McCaughey (1985) Verified
a1 0.11 · a2 0.11 · a3 -12.3
ohm · summer_dryMixed Forest [20] McCaughey (1985) Verified
a1 0.11 · a2 0.11 · a3 -12.3
ohm · winter_wetMixed Forest [20] McCaughey (1985) Verified
a1 0.11 · a2 0.11 · a3 -12.3
ohm · winter_dryMixed Forest [20] McCaughey (1985) Verified
a1 0.11 · a2 0.11 · a3 -12.3

Composition provenance

Curation required

Assembled · assessed by provenance-audit · 2026-09-02. Agent assessment is composition review preparation, not human verification.

Evergreen treesSelected component

Fills albedo. The stable SE England-path record declares target land_cover.evetr, place generic, representativeness generic, applicable_scale land_cover, source jarvi2011 and method literature. Its path and origin preserve later UK application lineage.

Evergreen treesSelected component

Fills emissivity. The record declares target land_cover.evetr, place generic and representativeness generic, and is named "Evergreen trees"; it carries source jarvi2011 and declares method literature.

Evergreen TreeSelected component

Fills water_storage. The record declares target land_cover.evetr, place se-england and representativeness regional, and is named "Evergreen Tree"; its source field reads jarvi2011.

Coniferous treesSelected component

Fills leaf_area_index. The stable Beijing-path record declares target land_cover.evetr, name "Coniferous trees", place generic, representativeness generic, applicable_scale land_cover, source jarvi2011 and method literature. Its Beijing path and origin retain migration lineage only.

Evergreen Tree, LaiEq = 0Selected component

Fills leaf_growth_power. The record declares target land_cover.evetr, place beijing and representativeness site, and is named "Evergreen Tree, LaiEq = 0"; its source field reads zheng-y2023.

EvergreenTreeSelected component

Fills drainage. The record is the generic, land-cover-scale EvergreenTree literature tuple compiled by Järvi et al.; its sidecar separates the original storage summary and drainage fit from Havu's later Helsinki application.

Evergreen TreeSelected component

Fills max_vegetation_conductance. The record declares target land_cover.evetr, place beijing and representativeness site because its 1.4 value is for one Pinus tabuliformis species; the released model applies code 991 in Beijing. It is named "Evergreen Tree"; its source field reads zheng-y2023.

Dummy valueSelected component

Fills porosity. The record declares target land_cover.evetr, place generic and representativeness generic, and is named "Dummy value"; its source field reads unreferenced.

Mixed treesSelected component

Fills biogen_co2. The stable Beijing-path record declares target land_cover.common, place helsinki and representativeness site. It is named "Mixed trees" and its source field remains zheng-y2023 because Zheng compiled the mixed Finnish tuple for the Beijing application.

Evergreen TreeSelected component

Fills snow_lim_patch. The stable path and origin retain Helsinki migration lineage, while the record declares target land_cover.evetr, name "Evergreen Tree", place generic, representativeness generic, applicable_scale land_cover, source jarvi2014 and method literature.

Evergreen TreeSelected component

Fills vegetation_growth. The record declares target land_cover.evetr, place helsinki and representativeness city, and is named "Evergreen Tree"; its source field reads jarvi2014.

Mixed Forest [20] McCaughey (1985)Selected component

Fills ohm.summer_wet, ohm.summer_dry, ohm.winter_wet and ohm.winter_dry. The record declares target ohm_coefficients and is named "Mixed Forest [20] McCaughey (1985)"; its source field reads grimmond1991b, it declares method fitted, it carries no season_label and it declares no place or representativeness.

Assessment findings

Composite identitysupported
The composite is named "Mixed Evergreen Trees" and declares place beijing with origin "Beijing, China". What distinguishes it from the other evergreen-tree composites is a group assembled for Beijing: leaf_growth_power and max_vegetation_conductance take Beijing records, leaf_area_index takes a stable Beijing-path row now correctly identified as generic Järvi literature, and biogen_co2 takes the stable Beijing-path row now correctly scoped to its Viikki, Helsinki evidence site. The latter three carry source zheng-y2023, and the biogenic CO2 record is itself named "Mixed trees". The label identifies what the composite assembles.
Composite targetsupported
The composite declares target land_cover.evetr. Every component declares that same target except two: biogen_co2 takes records/surfaces/common/beijing--zheng-y2023--biogen-co2, declaring target land_cover.common, which docs/FORMAT.md defines as the surface-agnostic class, and the four OHM positions take a record declaring target ohm_coefficients, which is the type that slot takes. leaf_area_index and leaf_growth_power both declare lai.lai_type 0, which satisfies the leaf_area_index coupling rule in schema/parameter_groups.yml, which makes an archetype whose two LAI components carry different lai_type values internally contradictory. All four OHM positions take one record, which carries no season_label, so an undifferentiated season and wet/dry mapping contradicts nothing the component declares.
Own parameter valuesnot applicable
The composite declares no parameters of its own, so every value it delivers is the component's.
Composition rationalenot applicable
The composite claims no composition source, and the repository records no published rationale for this assembly. The components' own sources belong to their evidence assessments, not to this review.
Place applicabilitycuration required
The composite declares place beijing. Two components declare Beijing; albedo, emissivity, leaf area index, drainage, porosity and snow limit are generic; water storage is a site-scoped Swindon value; and phenology and biogenic CO2 come from Helsinki. The Swindon and Helsinki transfers have no published composition rationale and require human curation.
Representativenesscuration required
The composite declares representativeness city. Its leaf_growth_power component is now correctly classed site because the coefficients were fitted to one park; its max_vegetation_conductance component is one Pinus tabuliformis value, although the published model applies it in Beijing; and its biogenic CO2 component is site evidence from Viikki. Retaining those components in a city archetype requires an explicit composition decision. leaf_area_index is now explicitly generic Järvi literature at land-cover scale rather than sample or Beijing evidence; it is broader than the composite and creates no city over-claim. Albedo, emissivity, drainage, porosity and snow limit are also generic. Water storage is site-scoped to Swindon, adding another site-to-city transfer that needs the same curation.
Slot and season mappingsupported
An assembly of existing records into slots; the composite asserts no value of its own.
Completeness and uniquenesssupported
The composite fills all eleven named slots and the four OHM positions, which is the slot set every deciduous-tree, evergreen-tree and grass archetype in this database uses, so the assembly is complete. The porosity slot takes records/surfaces/evetr/generic--unreferenced--porosity, whose parameters block is empty and whose origin reads "Porisity only used for Deciduous Tree. This is a Dummy Variable", so that slot contributes no value by design rather than by omission. This is the only evergreen-tree composite declaring place beijing, and no other composite in the class carries the same component set.

Scientific note

Where Beijing evidence exists this composite uses it: leaf growth power and maximum conductance come from rows placed at beijing and sourced to zheng-y2023. Leaf area index is now explicitly the generic coniferous-tree literature set published by Järvi et al., with its Beijing path retained only as migration lineage. Biogenic CO2 retains its stable Beijing path and Zheng source but is now correctly scoped to its Viikki, Helsinki site evidence. Albedo, emissivity, drainage, leaf area index and snow limit are generic literature inputs; water storage is a Swindon site result; and phenology comes from Helsinki because the database holds no Beijing row for that slot. The drainage sidecar records Havu's Helsinki configuration only as later application. Everything else in the assembly is coherent: the slot set is complete, the two LAI components agree on lai_type 0, and the single OHM set across all four season and wetness positions matches a coefficient record that declares no season. This review does not revisit any component's values. The leaf_growth_power component is a one-park site fit, max_vegetation_conductance is a single- species site-scale value applied by the released model in Beijing, and the biogenic CO2 component is a Viikki site compilation inside this city-classed composite, so their scale needs explicit composition curation.

Model-ready fragment

Paste under land_cover.evetr in a SUEWS YAML configuration; every value carries its citation.

alb_min:
  value: 0.1
  ref:
    ID: jarvi2011
    DOI: 10.1016/j.jhydrol.2011.10.001
    desc: generic, generic, land_cover
alb_max:
  value: 0.1
  ref:
    ID: jarvi2011
    DOI: 10.1016/j.jhydrol.2011.10.001
    desc: generic, generic, land_cover
emis:
  value: 0.98
  ref:
    ID: jarvi2011
    DOI: 10.1016/j.jhydrol.2011.10.001
    desc: generic, generic
storage_drain_params:
  store_min:
    value: 1.3
    ref:
      ID: ward2018
      DOI: 10.1002/joc.5200
      desc: swindon, site
  store_max:
    value: 1.3
    ref:
      ID: ward2018
      DOI: 10.1002/joc.5200
      desc: swindon, site
  drain_eq:
    value: 3
    ref:
      ID: jarvi2011
      DOI: 10.1016/j.jhydrol.2011.10.001
      desc: generic, generic, land_cover
  drain_coef_1:
    value: 0.013
    ref:
      ID: jarvi2011
      DOI: 10.1016/j.jhydrol.2011.10.001
      desc: generic, generic, land_cover
  drain_coef_2:
    value: 1.71
    ref:
      ID: jarvi2011
      DOI: 10.1016/j.jhydrol.2011.10.001
      desc: generic, generic, land_cover
lai:
  lai_type:
    value: 0
    ref:
      ID: zheng-y2023
      DOI: 10.5194/gmd-16-4551-2023
      desc: beijing, site
  lai_min:
    value: 4
    ref:
      ID: zheng-y2023
      DOI: 10.5194/gmd-16-4551-2023
      desc: beijing, site
  lai_max:
    value: 5.1
    ref:
      ID: zheng-y2023
      DOI: 10.5194/gmd-16-4551-2023
      desc: beijing, site
  lai_power:
    growth_lai:
      value: -1.42
      ref:
        ID: zheng-y2023
        DOI: 10.5194/gmd-16-4551-2023
        desc: beijing, site
    growth_gdd:
      value: 0.00258
      ref:
        ID: zheng-y2023
        DOI: 10.5194/gmd-16-4551-2023
        desc: beijing, site
    senescence_lai:
      value: 2
      ref:
        ID: zheng-y2023
        DOI: 10.5194/gmd-16-4551-2023
        desc: beijing, site
    senescence_sdd:
      value: 0.0001
      ref:
        ID: zheng-y2023
        DOI: 10.5194/gmd-16-4551-2023
        desc: beijing, site
  base_temperature:
    value: 5
    ref:
      ID: jarvi2014
      DOI: 10.5194/gmd-7-1691-2014
      desc: helsinki, city
  base_temperature_senescence:
    value: 10
    ref:
      ID: jarvi2014
      DOI: 10.5194/gmd-7-1691-2014
      desc: helsinki, city
  gdd_full:
    value: 300
    ref:
      ID: jarvi2014
      DOI: 10.5194/gmd-7-1691-2014
      desc: helsinki, city
  sdd_full:
    value: -450
    ref:
      ID: jarvi2014
      DOI: 10.5194/gmd-7-1691-2014
      desc: helsinki, city
wet_threshold:
  value: 1.3
  ref:
    ID: jarvi2011
    DOI: 10.1016/j.jhydrol.2011.10.001
    desc: generic, generic, land_cover
max_conductance:
  value: 1.4
  ref:
    ID: zheng-y2023
    DOI: 10.5194/gmd-16-4551-2023
    desc: beijing, site
alpha_bio_co2:
  value: 0.031
  ref:
    ID: bellucco2017
    DOI: 10.1016/j.agrformet.2016.12.011
    desc: helsinki, site
beta_bio_co2:
  value: 8.3463
  ref:
    ID: havu2022
    DOI: 10.5194/bg-19-2121-2022
    desc: helsinki, site
theta_bio_co2:
  value: 0.723
  ref:
    ID: bellucco2017
    DOI: 10.1016/j.agrformet.2016.12.011
    desc: helsinki, site
resp_a:
  value: 0.78
  ref:
    ID: havu2022
    DOI: 10.5194/bg-19-2121-2022
    desc: helsinki, site
resp_b:
  value: 0.08
  ref:
    ID: havu2022
    DOI: 10.5194/bg-19-2121-2022
    desc: helsinki, site
min_res_bioco2:
  value: 0.6
  ref:
    ID: jarvi2019
    DOI: 10.1029/2018JD029576
    desc: helsinki, site
snowpack_limit:
  value: 190
  ref:
    ID: jarvi2014
    DOI: 10.5194/gmd-7-1691-2014
    desc: generic, generic, land_cover
ohm_coef:
  summer_wet:
    a1:
      value: 0.11
      ref:
        ID: grimmond1991b
        DOI: 10.1016/0957-1272(91)90003-W
        desc: land_cover
    a2:
      value: 0.11
      ref:
        ID: grimmond1991b
        DOI: 10.1016/0957-1272(91)90003-W
        desc: land_cover
    a3:
      value: -12.3
      ref:
        ID: grimmond1991b
        DOI: 10.1016/0957-1272(91)90003-W
        desc: land_cover
  summer_dry:
    a1:
      value: 0.11
      ref:
        ID: grimmond1991b
        DOI: 10.1016/0957-1272(91)90003-W
        desc: land_cover
    a2:
      value: 0.11
      ref:
        ID: grimmond1991b
        DOI: 10.1016/0957-1272(91)90003-W
        desc: land_cover
    a3:
      value: -12.3
      ref:
        ID: grimmond1991b
        DOI: 10.1016/0957-1272(91)90003-W
        desc: land_cover
  winter_wet:
    a1:
      value: 0.11
      ref:
        ID: grimmond1991b
        DOI: 10.1016/0957-1272(91)90003-W
        desc: land_cover
    a2:
      value: 0.11
      ref:
        ID: grimmond1991b
        DOI: 10.1016/0957-1272(91)90003-W
        desc: land_cover
    a3:
      value: -12.3
      ref:
        ID: grimmond1991b
        DOI: 10.1016/0957-1272(91)90003-W
        desc: land_cover
  winter_dry:
    a1:
      value: 0.11
      ref:
        ID: grimmond1991b
        DOI: 10.1016/0957-1272(91)90003-W
        desc: land_cover
    a2:
      value: 0.11
      ref:
        ID: grimmond1991b
        DOI: 10.1016/0957-1272(91)90003-W
        desc: land_cover
    a3:
      value: -12.3
      ref:
        ID: grimmond1991b
        DOI: 10.1016/0957-1272(91)90003-W
        desc: land_cover

Composition review

Curation requiredReview procedure

Composite metadata

Placebeijing
Scopecity
Targetland_cover.evetr · docs
Origin“Beijing, China” (verbatim legacy string)
Schema2026.5 · legacy row 24240009

Used by 4 entries

Report an issue