Names follow the SUEWS YAML specification; click one for its definition in the configuration reference.
lai.lai_power.growth_lai | -1.42 |
lai.lai_power.growth_gdd | 0.00258 |
lai.lai_power.senescence_lai | 2 |
lai.lai_power.senescence_sdd | 0.0001 |
lai.lai_type | 0 |
Where: Table 3, LAI parameters for the base case and the LAI and gs_LAI cases, p. 4559
Gives w1,GDD = -1.42, w2,GDD = 0.00258, w1,SDD = 2.0 and w2,SDD = 0.0001 for the LAI and gs_LAI cases, against 0.04, 0.001, -1.5 and 0.0015 for the base case, and states that all vegetation types share one set within a case.
Where: Appendix A, Workflow of LAI parameters optimization, p. 4566
Derives the coefficients by CMA-ES from a 2011-2016 Landsat 7 ETM+ LAI series for a park near the IAP tower.
Where: Conclusion, p. 4566
Describes the optimised LAI parameters as site-specific.
Where: Sect. 4.5.1, model cases, p. 4558
Defines the LAI and gs_LAI cases in which the optimised parameters are used.
Carries 0, -1.42, 0.00258, 2 and 0.0001 for this surface.
Where: ModelRuns/Input/SUEWS_SiteSelect.txt, Beijing grid 1 (2015 and 2016)
Assigns Code_EveTr 991, Code_DecTr 992, Code_Grass 993 and IrrigationCode 5 to the modelled Beijing grid, so those rows are the ones the published runs used.
The released input independently contradicts the stored senescence_sdd, so the discrepancy is not a typesetting artefact in the article.
Where: Sect. 3, Study site and measurements, p. 4554
The model domain is a 1 km circle around the IAP tower, covering roughly 80 % of the accumulated flux footprint; no city-wide domain is modelled.
| Name | supported Table 3 states that every vegetation type uses the same LAI parameters within one case, and the archived Veg code 993 carries LAIEq 0, which is what the LaiEq = 0 part of the name records. |
|---|---|
| Target | supported Veg code 993 is the grass row of the modelled Beijing grid. |
| Values | supported All four coefficients now match the source exactly. Table 3 gives w1,GDD = -1.42, w2,GDD = 0.00258, w1,SDD = 2.0 and w2,SDD = 0.0001 for the LAI and gs_LAI cases, and the archived Veg row carries LeafOffPower2 = 0.0001. The stored senescence_sdd was 0.001, which matched neither that case nor the base case, and was corrected against both the article and the released model input. |
| Source | supported Zheng et al. is the parameter publication for the optimised coefficients: Appendix A sets out the CMA-ES workflow and Table 3 publishes the result. |
| Place | supported The LAI series and the modelling domain are both in Beijing. |
| Representativeness | supported Site representativeness matches the fit to a six-year Landsat LAI series for one park near the IAP tower and the 1 km model domain; the paper explicitly describes the LAI parameters as site-specific. |
| Method | supported Appendix A describes a covariance matrix adaptation evolution strategy fit of the LAI sub-model to the interpolated satellite LAI series. |
| Identity | supported This record holds the same four coefficients as its two sibling records, which is what the source prescribes rather than an accidental duplication: Table 3 states that all vegetation types use the same LAI parameters within one case, and the archived Veg rows 991, 992 and 993 repeat them. |
The optimised LAI coefficients are genuinely Zheng et al.'s own: Appendix A sets out the CMA-ES fit and Table 3 publishes the result, so the source attribution and the method are sound. The stored senescence_sdd was previously corrected to the published 0.0001. Because the fit uses one park's satellite LAI series and a 1 km domain and the paper calls the parameters site-specific, this grass record is now classified at site scale. The identical deciduous and evergreen sibling tuples are intentional; their representativeness is tracked separately in issues 325 and 324.
Paste under land_cover.grass in a SUEWS YAML configuration; every value carries its citation.
lai:
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
lai_type:
value: 0
ref:
ID: zheng-y2023
DOI: 10.5194/gmd-16-4551-2023
desc: beijing, site
Raises a prefilled sign-off issue. CI accepts it only when the issue author is in the verifier registry and the evidence revision is still current.
Review procedureland_cover.grass · docs