The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Quantifying the relevance of atmospheric blocking for co‐located temperature extremes in the Northern Hemisphere on (sub‐)daily time scales
Open accessAbstract
Atmospheric blocking can influence near‐surface temperature via circulation and radiative forcing. This study investigates the relevance of blocking for co‐located (sub‐)daily temperature extremes and the spatial variability of this relationship in the Northern Hemisphere. It is shown that over large parts of the high‐latitude continents warm temperature extremes often occur simultaneously with atmospheric blocking at the same location. Taking also weak blocks into account, more than 80% of the six‐hourly warm extremes are associated with blocking, e.g., in eastern Canada, Scandinavia and parts of Siberia. On the contrary, cold extremes typically are not related to co‐located atmospheric blocking. This difference between warm and cold extremes points to differences also in the physical driving mechanisms of the extremes. The strong linkage of warm temperature extremes and blocking should be considered when investigating changes of temperature extremes with global warming.
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
R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
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
Investigating soil moisture–climate interactions in a changing climate: A review
Seneviratne, S. I., Corti, T., Davin, E. L., Hirschi, M., Jaeger, E. B., Lehner, I., Orlowsky, B., & Teuling, A. J. (2010) · Earth-Science Reviews · doi:10.1016/j.earscirev.2010.02.004 · Cited by 5,638
Climate Extremes: Observations, Modeling, and Impacts
Easterling, D. R., Meehl, G. A., Parmesan, C., Changnon, S. A., Karl, T. R., & Mearns, L. O. (2000) · Science · doi:10.1126/science.289.5487.2068 · Cited by 4,867
More Intense, More Frequent, and Longer Lasting Heat Waves in the 21st Century
Meehl, G. A., & Tebaldi, C. (2004) · Science · doi:10.1126/science.1098704 · Cited by 4,322
Field, C. B., Barros, V. R., Stocker, T. F., Qin, D., Dokken, D. J., Ebi, K. L., Mastrandrea, M. D., Mach, K. J., Plattner, G., Allen, S., et al. (2012) · Cambridge University Press eBooks · Cited by 3,037
Soil Moisture–Atmosphere Interactions during the 2003 European Summer Heat Wave
Fischer, E. M., Seneviratne, S. I., Vidale, P. L., Lüthi, D., & Schär, C. (2007) · Journal of Climate · doi:10.1175/jcli4288.1 · Cited by 1,060
On the operational predictability of blocking
TIBALDI, S., & Molteni, F. (1990) · Tellus A Dynamic Meteorology and Oceanography · doi:10.1034/j.1600-0870.1990.t01-2-00003.x · Cited by 909
Factors contributing to the summer 2003 European heatwave
Black, E., Blackburn, M., Harrison, G., Hoskins, B., & Methven, J. (2004) · Weather · doi:10.1256/wea.74.04 · Cited by 582
Cited by
The unprecedented Pacific Northwest heatwave of June 2021
White, R. H., Anderson, S., Booth, J. F., Braich, G., Draeger, C., Fei, C., Harley, C. D. G., Henderson, S. B., Jakob, M., Lau, C.-A., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36289-3 · Cited by 435
Heat Waves: Physical Understanding and Scientific Challenges
Barriopedro, D., García‐Herrera, R., Ordóñez, C., Miralles, D. G., & Salcedo‐Sanz, S. (2023) · Reviews of Geophysics · doi:10.1029/2022rg000780 · Cited by 404
Atmospheric blocking and weather extremes over the Euro-Atlantic sector – a review
Kautz, L.-A., Martius, O., Pfahl, S., Pinto, J. G., Ramos, A. M., Sousa, P. M., & Woollings, T. (2022) · Weather and Climate Dynamics · doi:10.5194/wcd-3-305-2022 · Cited by 337
Self-citationAnalog forecasting of extreme-causing weather patterns using deep learning
Chattopadhyay, A., Nabizadeh, E., & Hassanzadeh, P. (2020) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2019ms001958 · Cited by 224
Advances in the Subseasonal Prediction of Extreme Events: Relevant Case Studies across the Globe
Domeisen, D. I. V., White, C. J., Afargan-Gerstman, H., Muñoz, Á. G., Janiga, M. A., Vitart, F., Wulff, C. O., Antoine, S., Ardilouze, C., Batté, L., et al. (2022) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-20-0221.1 · Cited by 117
Metadata
- Authors
- Pfahl, S., & Wernli, H.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2012-06-28
- Volume
- 39
- Issue
- 12
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W1945829080
- Cited by
- 403
- References
- 27
- FWCI
- 4.95
- Type
- journal article
- Language
- en
- Open access
- green
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: Quantifying the relevance of atmospheric blocking for co‐located temperature extremes in the Northern Hemisphere on (sub‐)daily time scales. https://app.cochat.ai/papers/10.1029/2012gl052261
- The paper
- Pfahl, S., & Wernli, H. (2012). Quantifying the relevance of atmospheric blocking for co‐located temperature extremes in the Northern Hemisphere on (sub‐)daily time scales. Geophysical Research Letters. https://doi.org/10.1029/2012gl052261
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.
