This entry preserves a routing choice from the original database. Its region name identifies where the fallback is offered; it does not claim that the selected components provide independent evidence for that region. Review each component's provenance and the composition assessment before reuse.
This exact assembly is shared by 4 regional routes: Central Asia, Eastern Asia, Southeast Asia, and this page.
| anthropogenic_emissions | Central London london Awaiting sign-off heat.qf_a.working_day 0.3743 · heat.qf_a.holiday 0.3412 · heat.qf_b.working_day 0 |
|---|---|
| irrigation | Archived Vancouver irrigation configuration vancouver Awaiting sign-off ie_start 152 · ie_end 243 · internalwateruse_h 0 |
| soil | Below all surfaces (generic) se-england Awaiting sign-off soil_depth 350 · soil_store_capacity 150 · saturated_hydraulic_conductivity 0.0005 |
| snow | Snow helsinki composite radiation_melt_factor 0.0016 · temperature_melt_factor 0.12 · tau_cold_snow 0.018 |
| conductance | Ward et al. (2016) generic surface conductance parameterisation (gsModel=2) generic Awaiting sign-off g_max 3.5 · g_k 200 · g_q_base 0.13 |
| land_cover · paved | City centre beijing composite |
| land_cover · bldgs | City centre beijing composite |
| land_cover · bsoil | Central London, Ward et al. (2016) london composite |
| land_cover · grass | Grass beijing composite |
| land_cover · evetr | Mixed Evergreen Trees beijing composite |
| land_cover · dectr | Mixed Deciduous Trees beijing composite |
| land_cover · water | Water swindon composite |
| profiles · snow_clearing | Archived Helsinki daytime snow-removal schedule helsinki Awaiting sign-off holiday 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 · working_day 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 |
| profiles · water_use_manual · working_day | [old code: 11] san-gabriel Awaiting sign-off working_day 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.12 0.12 0.12 0.12 0.03 0.03 0.03 0.03 |
| profiles · water_use_manual · holiday | [old code: 12] arcadia Awaiting sign-off holiday 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.05 0.05 0.05 0.05 0.04 0.04 0.04 0.04 |
| profiles · water_use_automatic · working_day | [old code: 11] san-gabriel Awaiting sign-off working_day 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.12 0.12 0.12 0.12 0.03 0.03 0.03 0.03 |
| profiles · water_use_automatic · holiday | [old code: 12] arcadia Awaiting sign-off holiday 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.05 0.05 0.05 0.05 0.04 0.04 0.04 0.04 |
Names follow the SUEWS YAML specification; click one for its definition in the configuration reference.
anthropogenic_emissions.heat.baset_heating.working_day | 7 |
anthropogenic_emissions.heat.baset_heating.holiday | 7 |
anthropogenic_emissions.heat.baset_cooling.working_day | 7 |
anthropogenic_emissions.heat.baset_cooling.holiday | 7 |
Fills anthropogenic_emissions. The entry declares target anthropogenic_emissions, place london and representativeness city.
Fills irrigation. The entry declares target irrigation, place vancouver, representativeness city, source unreferenced and method assumed; its evidence review identifies an archived Vancouver application configuration.
Fills soil. The entry declares target land_cover.common, place se-england and representativeness regional.
Fills snow. The entry declares target snow, place helsinki and representativeness city.
Fills conductance. The entry declares target conductance, place generic and representativeness generic.
Fills land_cover.paved. The entry declares target land_cover.paved, place beijing and representativeness city.
Fills land_cover.bldgs. The entry declares target land_cover.bldgs, place beijing and representativeness city.
Fills land_cover.bsoil. The entry declares target land_cover.bsoil, place london and representativeness city.
Fills land_cover.grass. The entry declares target land_cover.grass, place beijing and representativeness city.
Fills land_cover.evetr. The entry declares target land_cover.evetr, place beijing and representativeness city.
Fills land_cover.dectr. The entry declares target land_cover.dectr, place beijing and representativeness city.
Fills land_cover.water. The entry declares target land_cover.water, place swindon and representativeness city.
Fills profiles.snow_clearing. The entry declares target profile.snow-removal, attaches_to snow.snow_profile_24hr, place helsinki, representativeness city, source unreferenced and method assumed; its evidence review identifies an archived Helsinki application schedule.
Fills profiles.water_use_manual.working_day, profiles.water_use_automatic.working_day. The entry declares target profile.water-use-manual, attaches_to irrigation.wuprofm_24hr, place los-angeles and representativeness city.
Fills profiles.water_use_manual.holiday, profiles.water_use_automatic.holiday. The entry declares target profile.water-use-automatic, attaches_to irrigation.wuprofa_24hr, place los-angeles and representativeness city.
| Composite identity | supported The name field reads 'South-Central Asia' and the region field reads 'South-Central Asia', both agreeing with the entry path archetypes/regions/south-central-asia. The entry assembles a complete site configuration and is the default inherited by the 8 country archetypes whose region_ref names it, so a region label identifies what it actually assembles. |
|---|---|
| Composite target | correction required The composite's own target, site, is right for a region default, and the structural slots each take an entry declared for them: anthropogenic_emissions, irrigation and conductance take records whose declared target is the slot name, soil takes records/surfaces/common/se-england--ward2016--soil declaring target land_cover.common, and snow takes archetypes/snow/helsinki--snow declaring target snow. profiles.snow_clearing is sound as well: it takes records/profiles/snow-removal/helsinki--jarvi2014--snow-removed-daytime, which declares attaches_to snow.snow_profile_24hr, the field schema/table_mapping.yml gives for that slot, and it carries both a working_day and a holiday series. The water-use mapping is where it breaks. table_mapping.yml maps the legacy columns WaterUseProfManuWD and WaterUseProfManuWE to irrigation.wuprofm_24hr and WaterUseProfAutoWD and WaterUseProfAutoWE to irrigation.wuprofa_24hr, so the water_use_manual slot fills irrigation.wuprofm_24hr and the water_use_automatic slot fills irrigation.wuprofa_24hr. The composite crosses them: profiles.water_use_manual.holiday takes records/profiles/water-use-automatic/los-angeles--lindberg2013--old-code-12, which declares attaches_to irrigation.wuprofa_24hr, and profiles.water_use_automatic.working_day takes records/profiles/water-use-manual/los-angeles--loridan2011--old-code-11, which declares attaches_to irrigation.wuprofm_24hr. Swapping the two will not repair it, because loridan2011 carries only a working_day series and lindberg2013 only a holiday series, so the four water-use cells are stitched from two half-records and no rearrangement of these two entries fills all four with a series derived for the field it lands in. |
| Own parameter values | curation required The composite declares one set of overrides of its own: anthropogenic_emissions.heat.baset_heating and anthropogenic_emissions.heat.baset_cooling, each 7 for both working_day and holiday. The entry names no source for them, and the same four numbers appear in all 22 region defaults. They do not displace a component value: schema/table_mapping.yml maps the legacy columns TCritic_Heating_WD, TCritic_Heating_WE, TCritic_Cooling_WD and TCritic_Cooling_WE onto exactly these four fields, and records/anthropogenic/london--ward2016, the record mapped into the anthropogenic_emissions slot, carries all four at -999, so the override fills fields the component leaves unset. The entry's own legacy block records BaseT_HC 18.2, which the same mapping deliberately retains under legacy as a separate Jarvi-method degree-day base rather than as the origin of these values. Where the 7 came from cannot be settled inside the repository, which holds no legacy region table, so a maintainer with the migration source must record its provenance or replace it. |
| Composition rationale | not applicable The composite claims no composition source, and the repository records no published rationale for a region-scale default; the uses block is the only statement of what a region inherits. The components' own sources belong to their evidence assessments, not to this review. |
| Place applicability | curation required No component carries a place that the country archetypes assign to archetypes/regions/south-central-asia, the composite that Bangladesh, Bhutan, India, Iran, Maldives, Nepal, Pakistan and Sri Lanka defer to. Five of the seven land_cover slots take Beijing archetypes: paved, bldgs, grass, evetr and dectr all carry place beijing, which places.yml gives country china and region_ref assigns to archetypes/regions/eastern-asia, so the surface selection is Asian but from a neighbouring region rather than this one. The bsoil archetype and the anthropogenic_emissions record carry place london, the water archetype place swindon and the soil record place se-england, all country united-kingdom and assigned to archetypes/regions/northern-europe; the snow archetype and the snow-clearing profile carry place helsinki, country finland, likewise northern-europe. records/irrigation/vancouver--unreferenced carries place vancouver, which places.yml gives country canada and the country archetypes assign to archetypes/regions/north-america, and both water-use profiles carry place los-angeles, country united-states-of-america, likewise north-america. records/conductance/generic--ward2016 carries place generic, a row that names no country at all. The snow slot takes archetypes/snow/helsinki--snow, place helsinki; the database also holds archetypes/snow/se-england--not-used, classed regional, and archetypes/snow/suews--no-snow, classed generic, so a Helsinki snow parameterisation is one choice of three rather than the only one available. A maintainer must decide whether Beijing surfaces are an accepted stand-in for South-Central Asia or a gap to be filled. |
| Representativeness | curation required The composite declares no representativeness of its own and stands as the default for the 8 countries whose country archetypes carry region_ref archetypes/regions/south-central-asia, so it operates at regional scale. Of its 15 distinct components, 13 are classed city, records/surfaces/common/se-england--ward2016--soil is classed regional and records/conductance/generic--ward2016 is classed generic. Every land_cover slot and the snow slot is therefore filled by a single-city archetype presented, with nothing in the entry saying so, as the value a whole region inherits. The choice is not forced: the database holds surface archetypes classed regional for land_cover.bldgs (seven of them), land_cover.paved (one) and land_cover.evetr (one), and a regional snow archetype in archetypes/snow/se-england--not-used, although for land_cover.bsoil, land_cover.dectr, land_cover.grass and land_cover.water every archetype in the database is classed city. A maintainer must decide whether city rows may carry a regional default or whether the generalisation should be recorded. |
| Slot and season mapping | supported The entry maps existing records and archetypes into slots and computes nothing, so assembled is the right method. Its only values of its own are the two anthropogenic base-temperature overrides, which are declared directly rather than derived from any component and are dealt with under values. |
| Completeness and uniqueness | curation required The assembly is complete for the layer this composite occupies: anthropogenic_emissions, irrigation, soil, snow and conductance, all seven land_cover slots, the snow-clearing profile and the four water-use cells. The four remaining profile slots, traffic, energy_use, human_activity and population, belong to the country layer, which reaches this composite through region_ref rather than through uses; archetypes/countries/france, for example, carries region_ref archetypes/regions/western-europe and a uses block holding exactly those four. Because region_ref is not a uses reference, the country entries are not documented as components here. Setting aside the archetype, name, region and legacy_id fields, this file is identical to archetypes/regions/central-asia, archetypes/regions/eastern-asia and archetypes/regions/southeast-asia. Four region defaults covering the whole of Asia hand their countries the same components, so at this layer the database draws no distinction between them, and the Beijing surfaces that are in-region for eastern-asia are inherited unchanged by the other three. A maintainer must decide whether that is intended or whether the four should diverge. |
The South-Central Asia default is the Asian block file: it is identical, once archetype, name, region and legacy_id are set aside, to central-asia, eastern-asia and southeast-asia, so Bangladesh, Bhutan, India, Iran, Maldives, Nepal, Pakistan and Sri Lanka inherit exactly what China and Mongolia inherit. That shows in the components: paved, bldgs, grass, evetr and dectr are all Beijing archetypes, which the database assigns to eastern-asia, and the remainder are London, Swindon, SE England, Helsinki, Vancouver and Los Angeles rows. Beijing surfaces are a more plausible stand-in for this region than London ones would be, but the entry says nothing about that and this review may not infer a rationale from resemblance. The water-use slots are crossed as in every region default, and cannot be repaired by exchanging the two records because each carries only half the day-types. Add thirteen single-city rows carrying a regional default and two unsourced base temperatures, and what the file needs is a curator's decision on the region layer rather than any change to the components' values.
BaseT_HC | 18.2 |
Traffic_multiplier_OSM | {"Tertiary":16.0,"Primary":110.8, "Motorway":159.2, "Motorway Road":36.0,"Secondary":52.1,"Residential, Living street":6.6} |
Paste under site in a SUEWS YAML configuration; every value carries its citation.
anthropogenic_emissions:
heat:
qf_a:
working_day: 0.3743
holiday: 0.3412
qf_b:
working_day: 0
holiday: 0
qf_c:
working_day: 0.0073
holiday: 0.0067
baset_heating:
working_day: 7
holiday: 7
baset_cooling:
working_day: 7
holiday: 7
irrigation:
ie_start:
value: 152
ref:
ID: unreferenced
DOI: null
desc: vancouver, city
ie_end:
value: 243
ref:
ID: unreferenced
DOI: null
desc: vancouver, city
internalwateruse_h:
value: 0
ref:
ID: unreferenced
DOI: null
desc: vancouver, city
faut:
value: 0.2
ref:
ID: unreferenced
DOI: null
desc: vancouver, city
daywat:
sunday: 1
monday: 1
tuesday: 1
wednesday: 1
thursday: 1
friday: 1
saturday: 1
daywatper:
sunday: 1
monday: 1
tuesday: 1
wednesday: 1
thursday: 1
friday: 1
saturday: 1
wuprofm_24hr:
working_day:
1: 0.03
2: 0.03
3: 0.03
4: 0.03
5: 0.03
6: 0.03
7: 0.03
8: 0.02
9: 0.02
10: 0.02
11: 0.02
12: 0.02
13: 0.02
14: 0.02
15: 0.02
16: 0.02
17: 0.12
18: 0.12
19: 0.12
20: 0.12
21: 0.03
22: 0.03
23: 0.03
24: 0.03
wuprofa_24hr:
holiday:
1: 0.04
2: 0.04
3: 0.04
4: 0.04
5: 0.04
6: 0.04
7: 0.04
8: 0.04
9: 0.04
10: 0.04
11: 0.04
12: 0.04
13: 0.04
14: 0.04
15: 0.04
16: 0.04
17: 0.05
18: 0.05
19: 0.05
20: 0.05
21: 0.04
22: 0.04
23: 0.04
24: 0.04
soil:
soil_depth:
value: 350
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: se-england, regional
soil_store_capacity:
value: 150
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: se-england, regional
saturated_hydraulic_conductivity:
value: 0.0005
ref:
ID: berthier2006
DOI: 10.1016/j.jhydrol.2006.01.007
desc: reze, site
snow:
snow_albedo_min:
value: 0.18
ref:
ID: jarvi2014
DOI: 10.5194/gmd-7-1691-2014
desc: montreal-suburban, site, neighborhood
snow_albedo_max:
value: 0.85
ref:
ID: jarvi2014
DOI: 10.5194/gmd-7-1691-2014
desc: montreal-suburban, site, neighborhood
narp_emissivity_snow:
value: 0.99
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic
radiation_melt_factor:
value: 0.0016
ref:
ID: jarvi2014
DOI: 10.5194/gmd-7-1691-2014
desc: helsinki, city
temperature_melt_factor:
value: 0.12
ref:
ID: jarvi2014
DOI: 10.5194/gmd-7-1691-2014
desc: helsinki, city
tau_cold_snow:
value: 0.018
ref:
ID: jarvi2014
DOI: 10.5194/gmd-7-1691-2014
desc: helsinki, city
tau_melting_snow:
value: 0.11
ref:
ID: jarvi2014
DOI: 10.5194/gmd-7-1691-2014
desc: helsinki, city
precipitation_threshold_albedo_reset:
value: 2
ref:
ID: jarvi2014
DOI: 10.5194/gmd-7-1691-2014
desc: helsinki, city
snow_density_min:
value: 100
ref:
ID: jarvi2014
DOI: 10.5194/gmd-7-1691-2014
desc: helsinki, city
snow_density_max:
value: 400
ref:
ID: jarvi2014
DOI: 10.5194/gmd-7-1691-2014
desc: helsinki, city
tau_refreezing_snow:
value: 0.043
ref:
ID: jarvi2014
DOI: 10.5194/gmd-7-1691-2014
desc: helsinki, city
water_holding_capacity_min:
value: 0.05
ref:
ID: jarvi2014
DOI: 10.5194/gmd-7-1691-2014
desc: helsinki, city
water_holding_capacity_max:
value: 0.2
ref:
ID: jarvi2014
DOI: 10.5194/gmd-7-1691-2014
desc: helsinki, city
temperature_rain_snow_threshold:
value: 2.2
ref:
ID: jarvi2014
DOI: 10.5194/gmd-7-1691-2014
desc: helsinki, city
snow_profile_24hr:
holiday:
1: 0
2: 0
3: 0
4: 0
5: 0
6: 0
7: 0
8: 1
9: 1
10: 1
11: 1
12: 1
13: 1
14: 1
15: 1
16: 1
17: 1
18: 1
19: 0
20: 0
21: 0
22: 0
23: 0
24: 0
working_day:
1: 0
2: 0
3: 0
4: 0
5: 0
6: 0
7: 1
8: 1
9: 1
10: 1
11: 1
12: 1
13: 1
14: 1
15: 1
16: 1
17: 1
18: 1
19: 0
20: 0
21: 0
22: 0
23: 0
24: 0
conductance:
g_max:
value: 3.5
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: generic, generic
g_k:
value: 200
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: generic, generic
g_q_base:
value: 0.13
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: generic, generic
g_q_shape:
value: 0.7
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: generic, generic
g_t:
value: 30
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: generic, generic
g_sm:
value: 0.05
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: generic, generic
th:
value: 55
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: generic, generic
tl:
value: -10
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: generic, generic
s1:
value: 5.56
ref:
ID: umep-dev2016a
DOI: null
desc: generic, generic
s2:
value: 0
ref:
ID: umep-dev2016a
DOI: null
desc: generic, generic
kmax:
value: 1200
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: generic, generic
land_cover:
paved:
alb:
value: 0.12
ref:
ID: ao2016
DOI: 10.1175/JAMC-D-16-0082.1
desc: 'shanghai, central_business_district, site, source bounds 0.12–0.14
(active: minimum)'
emis:
value: 0.91
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic, land_cover
storage_drain_params:
store_min:
value: 0.48
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic, land_cover
store_max:
value: 0.48
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic, land_cover
drain_eq:
value: 3
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic, land_cover
drain_coef_1:
value: 10
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic, land_cover
drain_coef_2:
value: 3
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic, land_cover
wet_threshold:
value: 0.48
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic, land_cover
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: 0.805
ref:
ID: umep-dev2017a-input-tables
DOI: null
desc: alland, site, material
a2:
value: -0.193
ref:
ID: umep-dev2017a-input-tables
DOI: null
desc: alland, site, material
a3:
value: -9.39
ref:
ID: umep-dev2017a-input-tables
DOI: null
desc: alland, site, material
summer_dry:
a1:
value: 0.805
ref:
ID: umep-dev2017a-input-tables
DOI: null
desc: alland, site, material
a2:
value: -0.193
ref:
ID: umep-dev2017a-input-tables
DOI: null
desc: alland, site, material
a3:
value: -9.39
ref:
ID: umep-dev2017a-input-tables
DOI: null
desc: alland, site, material
winter_wet:
a1:
value: 0.805
ref:
ID: umep-dev2017a-input-tables
DOI: null
desc: alland, site, material
a2:
value: -0.193
ref:
ID: umep-dev2017a-input-tables
DOI: null
desc: alland, site, material
a3:
value: -9.39
ref:
ID: umep-dev2017a-input-tables
DOI: null
desc: alland, site, material
winter_dry:
a1:
value: 0.805
ref:
ID: umep-dev2017a-input-tables
DOI: null
desc: alland, site, material
a2:
value: -0.193
ref:
ID: umep-dev2017a-input-tables
DOI: null
desc: alland, site, material
a3:
value: -9.39
ref:
ID: umep-dev2017a-input-tables
DOI: null
desc: alland, site, material
bldgs:
alb:
value: 0.18
ref:
ID: ao2016
DOI: 10.1175/JAMC-D-16-0082.1
desc: shanghai, central_business_district, site
emis:
value: 0.95
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic, land_cover
storage_drain_params:
store_min:
value: 0.25
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic, land_cover
store_max:
value: 0.25
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic, land_cover
drain_eq:
value: 3
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic, land_cover
drain_coef_1:
value: 10
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic, land_cover
drain_coef_2:
value: 3
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic, land_cover
wet_threshold:
value: 0.25
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic, land_cover
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: 0.238
ref:
ID: unreferenced
DOI: null
desc: beijing, city
a2:
value: 0.427
ref:
ID: unreferenced
DOI: null
desc: beijing, city
a3:
value: -16.7
ref:
ID: unreferenced
DOI: null
desc: beijing, city
summer_dry:
a1:
value: 0.238
ref:
ID: unreferenced
DOI: null
desc: beijing, city
a2:
value: 0.427
ref:
ID: unreferenced
DOI: null
desc: beijing, city
a3:
value: -16.7
ref:
ID: unreferenced
DOI: null
desc: beijing, city
winter_wet:
a1:
value: 0.238
ref:
ID: unreferenced
DOI: null
desc: beijing, city
a2:
value: 0.427
ref:
ID: unreferenced
DOI: null
desc: beijing, city
a3:
value: -16.7
ref:
ID: unreferenced
DOI: null
desc: beijing, city
winter_dry:
a1:
value: 0.238
ref:
ID: unreferenced
DOI: null
desc: beijing, city
a2:
value: 0.427
ref:
ID: unreferenced
DOI: null
desc: beijing, city
a3:
value: -16.7
ref:
ID: unreferenced
DOI: null
desc: beijing, city
bsoil:
alb:
value: 0.18
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: se-england, site
emis:
value: 0.94
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: se-england, site
storage_drain_params:
store_min:
value: 0.8
ref:
ID: ward2018
DOI: 10.1002/joc.5200
desc: swindon, site
store_max:
value: 0.8
ref:
ID: ward2018
DOI: 10.1002/joc.5200
desc: swindon, site
drain_eq:
value: 3
ref:
ID: ward2018
DOI: 10.1002/joc.5200
desc: swindon, site
drain_coef_1:
value: 10
ref:
ID: ward2018
DOI: 10.1002/joc.5200
desc: swindon, site
drain_coef_2:
value: 3
ref:
ID: ward2018
DOI: 10.1002/joc.5200
desc: swindon, site
wet_threshold:
value: 1
ref:
ID: ward2018
DOI: 10.1002/joc.5200
desc: swindon, site
snowpack_limit:
value: 190
ref:
ID: jarvi2014
DOI: 10.5194/gmd-7-1691-2014
desc: helsinki, city
ohm_coef:
summer_wet:
a1:
value: 0.379
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
a2:
value: 0.335
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
a3:
value: -30.05
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
summer_dry:
a1:
value: 0.379
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
a2:
value: 0.335
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
a3:
value: -30.05
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
winter_wet:
a1:
value: 0.445
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
a2:
value: 0.335
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
a3:
value: 11.77
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
winter_dry:
a1:
value: 0.445
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
a2:
value: 0.335
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
a3:
value: 11.77
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
grass:
alb_min:
value: 0.19
ref:
ID: vargo2013
DOI: 10.1016/j.jenvman.2012.10.007
desc: generic, generic
alb_max:
value: 0.19
ref:
ID: vargo2013
DOI: 10.1016/j.jenvman.2012.10.007
desc: generic, generic
emis:
value: 0.93
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic
storage_drain_params:
store_min:
value: 1.9
ref:
ID: ward2018
DOI: 10.1002/joc.5200
desc: swindon, site
store_max:
value: 1.9
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: 1.6
ref:
ID: zheng-y2023
DOI: 10.5194/gmd-16-4551-2023
desc: beijing, site
lai_max:
value: 5.9
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: 1.9
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic, land_cover
max_conductance:
value: 3.7
ref:
ID: zheng-y2023
DOI: 10.5194/gmd-16-4551-2023
desc: beijing, city
alpha_bio_co2:
value: 0.031
ref:
ID: zheng-y2023
DOI: 10.5194/gmd-16-4551-2023
desc: espoo, site
beta_bio_co2:
value: 5.4973
ref:
ID: zheng-y2023
DOI: 10.5194/gmd-16-4551-2023
desc: espoo, site
resp_a:
value: 2.1
ref:
ID: jarvi2019
DOI: 10.1029/2018JD029576
desc: helsinki, site
resp_b:
value: 0.06
ref:
ID: jarvi2019
DOI: 10.1029/2018JD029576
desc: helsinki, site
min_res_bioco2:
value: 0.6
ref:
ID: jarvi2019
DOI: 10.1029/2018JD029576
desc: finland, 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: 0.32
ref:
ID: grimmond1991b
DOI: 10.1016/0957-1272(91)90003-W
desc: land_cover
a2:
value: 0.54
ref:
ID: grimmond1991b
DOI: 10.1016/0957-1272(91)90003-W
desc: land_cover
a3:
value: -27.4
ref:
ID: grimmond1991b
DOI: 10.1016/0957-1272(91)90003-W
desc: land_cover
summer_dry:
a1:
value: 0.32
ref:
ID: grimmond1991b
DOI: 10.1016/0957-1272(91)90003-W
desc: land_cover
a2:
value: 0.54
ref:
ID: grimmond1991b
DOI: 10.1016/0957-1272(91)90003-W
desc: land_cover
a3:
value: -27.4
ref:
ID: grimmond1991b
DOI: 10.1016/0957-1272(91)90003-W
desc: land_cover
winter_wet:
a1:
value: 0.32
ref:
ID: grimmond1991b
DOI: 10.1016/0957-1272(91)90003-W
desc: land_cover
a2:
value: 0.54
ref:
ID: grimmond1991b
DOI: 10.1016/0957-1272(91)90003-W
desc: land_cover
a3:
value: -27.4
ref:
ID: grimmond1991b
DOI: 10.1016/0957-1272(91)90003-W
desc: land_cover
winter_dry:
a1:
value: 0.32
ref:
ID: grimmond1991b
DOI: 10.1016/0957-1272(91)90003-W
desc: land_cover
a2:
value: 0.54
ref:
ID: grimmond1991b
DOI: 10.1016/0957-1272(91)90003-W
desc: land_cover
a3:
value: -27.4
ref:
ID: grimmond1991b
DOI: 10.1016/0957-1272(91)90003-W
desc: land_cover
evetr:
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
dectr:
alb_min:
value: 0.16
ref:
ID: vargo2013
DOI: 10.1016/j.jenvman.2012.10.007
desc: generic, generic
alb_max:
value: 0.16
ref:
ID: vargo2013
DOI: 10.1016/j.jenvman.2012.10.007
desc: generic, generic
emis:
value: 0.98
ref:
ID: oke1987
DOI: null
desc: generic, generic
storage_drain_params:
store_min:
value: 0.3
ref:
ID: ward2018
DOI: 10.1002/joc.5200
desc: swindon, site
store_max:
value: 0.8
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: 1
ref:
ID: zheng-y2023
DOI: 10.5194/gmd-16-4551-2023
desc: beijing, site
lai_max:
value: 5.5
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: 0.8
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic, land_cover
max_conductance:
value: 7
ref:
ID: zheng-y2023
DOI: 10.5194/gmd-16-4551-2023
desc: beijing, city
porosity_min_deciduous:
value: 0.2
ref:
ID: unreferenced
DOI: null
desc: generic, generic, land_cover
porosity_max_deciduous:
value: 0.6
ref:
ID: unreferenced
DOI: null
desc: generic, generic, land_cover
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
water:
alb:
value: 0.1
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic, land_cover
emis:
value: 0.95
ref:
ID: jarvi2011
DOI: 10.1016/j.jhydrol.2011.10.001
desc: generic, generic
storage_drain_params:
store_min:
value: 0.5
ref:
ID: ward2018
DOI: 10.1002/joc.5200
desc: swindon, site
store_max:
value: 0.5
ref:
ID: ward2018
DOI: 10.1002/joc.5200
desc: swindon, site
state_limit:
value: 1000
ref:
ID: unreferenced
DOI: null
desc: swindon, city
wet_threshold:
value: 0.5
ref:
ID: ward2018
DOI: 10.1002/joc.5200
desc: swindon, site
ohm_coef:
summer_wet:
a1:
value: 0.534
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
a2:
value: 0.21
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
a3:
value: -33.31
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
summer_dry:
a1:
value: 0.534
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
a2:
value: 0.21
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
a3:
value: -33.31
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
winter_wet:
a1:
value: 0.627
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
a2:
value: 0.21
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
a3:
value: 13.05
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
winter_dry:
a1:
value: 0.627
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
a2:
value: 0.21
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
a3:
value: 13.05
ref:
ID: ward2016
DOI: 10.1016/j.uclim.2016.05.001
desc: land_cover
site