Data · dataset · 2026
CLM5 Perturbed Parameter Ensembles
Listed in National Center for Atmospheric Research
These data are the results of parameter sensitivity simulations and multiple perturbed parameter ensembles (PPE) with the Community Land Model, version 5 (CLM5).
Description
These simulations form the basis of a publication documenting a machine learning approach to studying parameter uncertainty in CLM5. The parameter sensitivity simulations include thirty-four CLM5 biophysical parameters perturbed one at a time to their minimum and maximum values, as well as a control simulation with default parameter values.
The output files are labeled by the parameter name with "_min" or "_max" to denote simulation type, where each file includes 5 years of monthly output. The simulation with default parameter values includes 30 years of monthly output, labeled "CLM_control". The PPE simulations include six of the aforementioned parameters perturbed simultaneously.
Read the rest (2 more)
We use Latin Hypercube (LHC) sampling to generate 100 unique parameter sets for the top six parameters identified by the sensitivity simulations. There are two 100-member PPEs with present-day climate forcing conditions, but each uses a different LHC sampling. The output files are labeled "PPE_x" and "PPE_v2_x" with the ensemble member x from 1 to 100.
There is also a simulation with default parameter values labeled "PPE_control". Again each file includes 5 years of monthly output. We test optimized parameter values with CLM, the results of which are labeled "CLM_test_calibration", and this file also includes 5 years of monthly output.
Links
Get the data
- Resource Homepage doi.org/10.5065/9bcc-4a87 ↗
download · DOI / persistent id · from data ucar edu
Where it is published
- data.ucar.edu /dataset/clm5-perturbed-parameter-ensembles ↗
National Center for Atmospheric Research dataset page
landing page · from data ucar edu
Catalogue records · 1
- CKAN API data.ucar.edu/api/3/action/package_show?id=e5d0cc02-9047-477c-8826-9f54bb251… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Life Sciences · Ocean & Atmospheric Science
- Inferred from text
- Simulation 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | e5d0cc02-9047-477c-8826-9f54bb251b0a | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].local:field:earth-environmental | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · data ucar edu | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| description | source · data ucar edu | connector:data_ucar_edu@1.0.0 | /notes |
| publication_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| title | source · data ucar edu | connector:data_ucar_edu@1.0.0 | /title |
| updated_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 |