Data · dataset · 2026
Spatial forecast verification: Image warping
Listed in National Center for Atmospheric Research
PREFACE : In response to a growing need for more informative forecast verification in the face of gridded verification sets, many new methods have been proposed.
Description
While widely varying in their approaches, the new methods generally fall into two major categories of filter and displacement, each of which can be further subdivided. One of the displacement approaches, a field deformation approach known as image warping, will be demonstrated here.
Results for spatial verification of the spatial forecast verification Inter-Comparison Project test cases are shown. An initial look at space-time verification using the image warp is also discussed, with an application to NCAR and NCEP 4-km WRF models cases from the 2005 NSSL/SPC Spring Program. The approach is found to be very useful for obtaining guidance about forecast performance.
Read the rest (1 more)
Both diagnostic and summary score information can be gleaned. Initial findings for the space-time approach show that while the NCEP model has better initial scores, the NCAR models require drastically less deformation to achieve a much higher reduction in error. This is most likely a result of the NCEP model's highly over forecasting low-intensity precipitation spatially.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d7qc02xc ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/spatial-forecast-verification-image-warping ↗
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=2a0e58e4-f567-4562-b4e9-6424c4839… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Image processing · Ocean & Atmospheric Science
- Inferred from text
- Image 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | 2a0e58e4-f567-4562-b4e9-6424c483972d | 13 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:ocean-atmospheric | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| concepts[modality].local:modality:image | 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 |