Toward development of machine learning version of Real-Time Mesoscale Analysis (RTMA)

Rancic, Miodrag, Pondeca, Manuel, Purser, Robert James, Gibbs, Annette, Colon, Edward, Morris, Matthew, Zhao, Gang, Ge, Guoqing, Ladwig, Therese

Open source

DOI: 10.25923/frz0-h186
Published: 2026
Container: Not recorded
Publisher: NOAA Office of Modeling and Development
Open access: yes

Credibility signals

limited evidence Score 47/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingPublication license: A publication license was supplied: https://creativecommons.org/publicdomain/zero/1.0/legalcode. Presence improves reuse transparency, not research validity. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.25923/frz0-h186,
  title = {Toward development of machine learning version of Real-Time Mesoscale Analysis (RTMA)},
  author = {Rancic, Miodrag and Pondeca, Manuel and Purser, Robert James and Gibbs, Annette and Colon, Edward and Morris, Matthew and Zhao, Gang and Ge, Guoqing and Ladwig, Therese},
  year = {2026},
  doi = {10.25923/frz0-h186},
  url = {https://doi.org/10.25923/frz0-h186}
}

RIS

TY  - JOUR
TI  - Toward development of machine learning version of Real-Time Mesoscale Analysis (RTMA)
AU  - Rancic, Miodrag
AU  - Pondeca, Manuel
AU  - Purser, Robert James
AU  - Gibbs, Annette
AU  - Colon, Edward
AU  - Morris, Matthew
AU  - Zhao, Gang
AU  - Ge, Guoqing
AU  - Ladwig, Therese
PY  - 2026
DO  - 10.25923/frz0-h186
UR  - https://doi.org/10.25923/frz0-h186
ER  -

APA

Miodrag, R., Manuel, P., James, P. R., Annette, G., Edward, C., Matthew, M., Gang, Z., Guoqing, G., & Therese, L. (2026). Toward development of machine learning version of Real-Time Mesoscale Analysis (RTMA). https://doi.org/10.25923/frz0-h186

Source records

datacite · retrieved 2026-11-09T10:46:35.416Z