The DOI matches its Crossref record.
DEVELOPMENT OF A NEXT-GENERATION REGIONAL WEATHER RESEARCH AND FORECAST MODEL
Abstract
The Weather Research and Forecast (WRF) project is a multi-institutional effort to develop an advanced mesoscale forecast and data assimilation system that is accurate, efficient, and scalable across a range of scales and over a host of computer platforms. The first release, WRF 1.0, was November 30, 2000, with operational deployment targeted for the 2004-05 time frame. This paper provides an overview of the project and current status of the WRF development effort in the areas of numerics and physics, software and data architecture, and single-source parallelism and performance portability.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Beugnet, F., Chalvet-Monfray, K., & Loukos, H. (2009) · Geospatial health · doi:10.4081/gh.2009.213 · Cited by 42
Beugnet, F., Kolasinski, M., Michelangeli, P.-A., Vienne, J., & Loukos, H. (2011) · Geospatial health · doi:10.4081/gh.2011.178 · Cited by 29
Simulating wind power forecast error distributions for spatially aggregated wind power plants
Miettinen, J., Holttinen, H., & Hodge, B. (2020) · Wind Energy · doi:10.1002/we.2410 · Cited by 23
Metadata
- Authors
- MICHALAKES, J., CHEN, S., DUDHIA, J., HART, L., KLEMP, J., MIDDLECOFF, J., & SKAMAROCK, W.
- Venue
- Developments in Teracomputing
- Publisher
- WORLD SCIENTIFIC
- Published
- 2001-11
- Pages
- 269-276
- OpenAlex
- W2086796296
- Cited by
- 280
- References
- 0
- FWCI
- 93.42
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: DEVELOPMENT OF A NEXT-GENERATION REGIONAL WEATHER RESEARCH AND FORECAST MODEL. https://app.cochat.ai/papers/10.1142/9789812799685_0024
- The paper
- MICHALAKES, J., CHEN, S., DUDHIA, J., HART, L., KLEMP, J., MIDDLECOFF, J., & SKAMAROCK, W. (2001). DEVELOPMENT OF A NEXT-GENERATION REGIONAL WEATHER RESEARCH AND FORECAST MODEL. Developments in Teracomputing. https://doi.org/10.1142/9789812799685_0024
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
