The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Improved Performance of ERA5 in Arctic Gateway Relative to Four Global Atmospheric Reanalyses
Open accessAbstract
Here we evaluate five atmospheric reanalyses in an Arctic gateway during late summer. The reanalyses include ERA5, ERA‐Interim, Japanese 55 year Re‐Analysis (JRA‐55), Climate Forecasting System Reanalysis‐version 2 (CFSv2), and Modern Era Retrospective analysis for Research and Applications‐version 2 (MERRA‐2). We use observations from 50 radiosondes launched in the Fram Strait around 79‐80°N, between 25 August and 11 September 2017. Crucially, data from 27 radiosondes were not transmitted to the Global Telecommunications System and therefore not assimilated into any reanalysis. In most reanalyses, the magnitude of wind speed and humidity errors is similar for profiles with and without data assimilation. In cases without data assimilation, correlation coefficients (R) exceed 0.88 for temperature, wind speed, and specific humidity, in all reanalyses. Overall, the newly released ERA5 has higher correlation coefficients than any other reanalyses as well as smaller biases and root‐mean‐square errors, for all three variables. The largest improvements identified in ERA5 are in its representation of the wind field, and temperature profiles over warm water.
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
The ERA‐Interim reanalysis: configuration and performance of the data assimilation system
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., et al. (2011) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.828 · Cited by 24,480
The NCEP Climate Forecast System Reanalysis
Saha, S., Moorthi, S., Pan, H.-L., Wu, X., Wang, J., Nadiga, S., Tripp, P., Kistler, R., Woollen, J., Behringer, D., et al. (2010) · Bulletin of the American Meteorological Society · doi:10.1175/2010bams3001.1 · Cited by 5,136
The JRA-55 Reanalysis: General Specifications and Basic Characteristics
KOBAYASHI, S., OTA, Y., HARADA, Y., EBITA, A., MORIYA, M., ONODA, H., ONOGI, K., KAMAHORI, H., KOBAYASHI, C., ENDO, H., et al. (2015) · Journal of the Meteorological Society of Japan. Ser. II · doi:10.2151/jmsj.2015-001 · Cited by 4,760
The NCEP Climate Forecast System Version 2
Saha, S., Moorthi, S., Wu, X., Wang, J., Nadiga, S., Tripp, P., Behringer, D., Hou, Y.-T., Chuang, H.-Y., Iredell, M., et al. (2014) · Journal of Climate · doi:10.1175/jcli-d-12-00823.1 · Cited by 3,354
Torres, R., Snoeij, P., Geudtner, D., Bibby, D., Davidson, M., Attema, E., Potin, P., Rommen, B., Floury, N., Brown, M., et al. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.05.028 · Cited by 2,235
Changing state of Arctic sea ice across all seasons
Stroeve, J., & Notz, D. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aade56 · Cited by 1,133
Evaluation of Seven Different Atmospheric Reanalysis Products in the Arctic*
Lindsay, R., Wensnahan, M., Schweiger, A., & Zhang, J. (2014) · Journal of Climate · doi:10.1175/jcli-d-13-00014.1 · Cited by 557
Hyland, R. W., & Wexler, A. (1983) · ASHRAE winter conference papers · Cited by 299
Extreme cyclone events in the Arctic: Wintertime variability and trends
Rinke, A., Maturilli, M., Graham, R. M., Matthes, H., Handorf, D., Cohen, L., Hudson, S. R., & Moore, J. C. (2017) · Environmental Research Letters · doi:10.1088/1748-9326/aa7def · Cited by 219
Self-citationBromwich, D. H., Wilson, A. B., Bai, L., Moore, G. W. K., & Bauer, P. (2015) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.2527 · Cited by 161
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
Recent changes in global dryland temperature and precipitation
Daramola, M. T., & Xu, M. (2022) · International Journal of Climatology · doi:10.1002/joc.7301 · Cited by 73
Metadata
- Authors
- Graham, R. M., Hudson, S. R., & Maturilli, M.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2019-06-13
- Volume
- 46
- Issue
- 11
- Pages
- 6138-6147
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2945337859
- Cited by
- 319
- References
- 15
- FWCI
- 11.53
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Improved Performance of ERA5 in Arctic Gateway Relative to Four Global Atmospheric Reanalyses. https://app.cochat.ai/papers/10.1029/2019gl082781
- The paper
- Graham, R. M., Hudson, S. R., & Maturilli, M. (2019). Improved Performance of ERA5 in Arctic Gateway Relative to Four Global Atmospheric Reanalyses. Geophysical Research Letters. https://doi.org/10.1029/2019gl082781
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.
