The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Feasibility of a 100-Year Reanalysis Using Only Surface Pressure Data
Open accessAbstract
Climate variability and global change studies are increasingly focused on understanding and predicting regional changes of daily weather statistics. Assessing the evidence for such variations over the last 100 yr requires a daily tropospheric circulation dataset. The only dataset available for the early twentieth century consists of error-ridden hand-drawn analyses of the mean sea level pressure field over the Northern Hemisphere. Modern data assimilation systems have the potential to improve upon these maps, but prior to 1948, few digitized upper-air sounding observations are available for such a “reanalysis.” We investigate the possibility that the additional number of newly recovered surface pressure observations is sufficient to generate useful weather maps of the lower-tropospheric extratropical circulation back to 1890 over the Northern Hemisphere, and back to 1930 over the Southern Hemisphere. Surprisingly, we find that by using an advanced data assimilation system based on an ensemble Kalman filter, it would be feasible to produce high-quality maps of even the upper troposphere using only surface pressure observations. For the beginning of the twentieth century, the errors of such upper-air circulation maps over the Northern Hemisphere in winter would be comparable to the 2-3-day errors of modern weather forecasts.
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
Cites
Evensen, G. (1994) · Journal of Geophysical Research: Oceans · doi:10.1029/94jc00572 · Cited by 5,371
Cited by
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., et al. (2020) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.3803 · Cited by 31,882
The Twentieth Century Reanalysis Project
Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Matsui, N., Allan, R. J., Yin, X., Gleason, B. E., Vose, R. S., Rutledge, G., Bessemoulin, P., et al. (2011) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.776 · Cited by 3,518
Self-citationHigh-quality spatial climate data-sets for Australia
Jones, D. A., Wang, W., & Fawcett, R. (2009) · Australian Meteorological and Oceanographic Journal · doi:10.1071/es09032 · Cited by 1,316
ICOADS Release 2.5: extensions and enhancements to the surface marine meteorological archive
Woodruff, S. D., Worley, S. J., Lubker, S. J., Ji, Z., Eric Freeman, J., Berry, D. I., Brohan, P., Kent, E. C., Reynolds, R. W., Smith, S. R., et al. (2011) · International Journal of Climatology · doi:10.1002/joc.2103 · Cited by 462
CERA‐20C: A Coupled Reanalysis of the Twentieth Century
Laloyaux, P., de Boisseson, E., Balmaseda, M., Bidlot, J., Broennimann, S., Buizza, R., Dalhgren, P., Dee, D., Haimberger, L., Hersbach, H., et al. (2018) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2018ms001273 · Cited by 319
Metadata
- Authors
- Compo, G. P., Whitaker, J. S., & Sardeshmukh, P. D.
- Venue
- Bulletin of the American Meteorological Society
- Publisher
- American Meteorological Society
- Published
- 2006-02
- Volume
- 87
- Issue
- 2
- Pages
- 175-190
- ISSN
- 0003-0007 (ISSN-L)
- 1520-0477
- OpenAlex
- W2119633169
- Cited by
- 413
- References
- 1
- FWCI
- 7.41
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Feasibility of a 100-Year Reanalysis Using Only Surface Pressure Data. https://app.cochat.ai/papers/10.1175/bams-87-2-175
- The paper
- Compo, G. P., Whitaker, J. S., & Sardeshmukh, P. D. (2006). Feasibility of a 100-Year Reanalysis Using Only Surface Pressure Data. Bulletin of the American Meteorological Society. https://doi.org/10.1175/bams-87-2-175
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.