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An extreme value method to study decadal hurricane wind trends

As of 22 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2505.08591.

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pith.paper-citation-record.v1
2505.08591 v1

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measured 29 of 29 reference resolution

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Reference resolution

29 of 29 outbound references displayed

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Outbound references

Observation f3e89e7a-c2eb-471d-930e-f0c6428cfe69 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

An extreme value method to study decadal hurricane wind trends , " * write output.state after.block = add.period write newline

Reference 1

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An extreme value method to study decadal hurricane wind trends write newline

Reference 2

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This paper cites A., and L.

An extreme value method to study decadal hurricane wind trends A., and L

Reference 3

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This paper cites Springer Series in Statistics, Springer-Verlag, London , doi:10.1007/978-1-4471-3675-0.

An extreme value method to study decadal hurricane wind trends Springer Series in Statistics, Springer-Verlag, London , doi:10.1007/978-1-4471-3675-0

Reference 4

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Observation cd3aec3b-0ba2-4ef4-a60d-c956e3a05419 · outbound

This paper cites Rahmstorf, 2012: A decade of weather extremes.

An extreme value method to study decadal hurricane wind trends Rahmstorf, 2012: A decade of weather extremes

Reference 5

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Observation 4d132d5e-07f7-41a5-9b25-c16cb6d498b7 · outbound

This paper cites The Annals of Statistics, 7 (1), 1--26, doi:10.1214/aos/1176344552.

An extreme value method to study decadal hurricane wind trends The Annals of Statistics, 7 (1), 1--26, doi:10.1214/aos/1176344552

Reference 6

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Observation 71efb856-f26d-45bf-9b13-f22ba5c3c718 · outbound

This paper cites ESA Strategy Document , European Space Agency.

An extreme value method to study decadal hurricane wind trends ESA Strategy Document , European Space Agency

Reference 7

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Observation e1772810-25bc-4298-9166-90d4e031dcbf · outbound

This paper cites Stoffelen, 2022: Changes in extreme wind speeds over the global ocean.

An extreme value method to study decadal hurricane wind trends Stoffelen, 2022: Changes in extreme wind speeds over the global ocean

Reference 8

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Observation cd729316-4da0-4903-ae12-91f55f4fc5b5 · outbound

This paper cites Ferreira, 2006: Extreme value theory: an introduction, Vol.

An extreme value method to study decadal hurricane wind trends Ferreira, 2006: Extreme value theory: an introduction, Vol

Reference 9

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This paper cites Quarterly Journal of the Royal Meteorological Society, 146 (730), 1999--2049, doi:10.1002/qj.3803.

An extreme value method to study decadal hurricane wind trends Quarterly Journal of the Royal Meteorological Society, 146 (730), 1999--2049, doi:10.1002/qj.3803

Reference 10

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Observation 6675d598-686d-4f29-b84e-fce2f3640a8a · outbound

This paper cites 11: Weather and Climate Extreme Events in a Changing Climate, 1513–1766.

An extreme value method to study decadal hurricane wind trends 11: Weather and Climate Extreme Events in a Changing Climate, 1513–1766

Reference 11

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Observation cda1dfbe-dfe1-426e-ab29-349d1d0560a8 · outbound

This paper cites D., and Coauthors, 2007: An Introduction to the EUMETSAT Polar system.

An extreme value method to study decadal hurricane wind trends D., and Coauthors, 2007: An Introduction to the EUMETSAT Polar system

Reference 12

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This paper cites Bulletin of the American Meteorological Society, 100 (10), 1987--2007, doi:10.1175/BAMS-D-18-0189.1.

An extreme value method to study decadal hurricane wind trends Bulletin of the American Meteorological Society, 100 (10), 1987--2007, doi:10.1175/BAMS-D-18-0189.1

Reference 13

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This paper cites Bulletin of the American Meteorological Society, 101 (3), E303--E322, doi:10.1175/BAMS-D-18-0194.1.

An extreme value method to study decadal hurricane wind trends Bulletin of the American Meteorological Society, 101 (3), E303--E322, doi:10.1175/BAMS-D-18-0194.1

Reference 14

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Observation 15317b40-3caa-4443-aa96-66602e09569f · outbound

This paper cites R., 1989: The jackknife and the bootstrap for general stationary observations.

An extreme value method to study decadal hurricane wind trends R., 1989: The jackknife and the bootstrap for general stationary observations

Reference 15

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This paper cites Statistics & Probability Letters, 12 (4), 357--362, doi:https://doi.org/10.1016/0167-7152(91)90107-3.

An extreme value method to study decadal hurricane wind trends Statistics & Probability Letters, 12 (4), 357--362, doi:https://doi.org/10.1016/0167-7152(91)90107-3

Reference 16

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An extreme value method to study decadal hurricane wind trends R., and H

Reference 17

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An extreme value method to study decadal hurricane wind trends Unresolved cited work

Reference 18

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An extreme value method to study decadal hurricane wind trends Stoffelen, H

Reference 19

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This paper cites Ruf, 2020: Estimating the true maximum sustained wind speed of a tropical cyclone from spatially averaged observations.

An extreme value method to study decadal hurricane wind trends Ruf, 2020: Estimating the true maximum sustained wind speed of a tropical cyclone from spatially averaged observations

Reference 20

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An extreme value method to study decadal hurricane wind trends Stoffelen, K

Reference 21

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An extreme value method to study decadal hurricane wind trends Portabella, W

Reference 22

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An extreme value method to study decadal hurricane wind trends Unresolved cited work

Reference 23

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An extreme value method to study decadal hurricane wind trends Unresolved cited work

Reference 24

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An extreme value method to study decadal hurricane wind trends Unresolved cited work

Reference 25

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An extreme value method to study decadal hurricane wind trends Final report, EUMETSAT

Reference 26

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This paper cites Journal of the European Meteorological Society, 2, 100\,011, doi:https://doi.org/10.1016/j.jemets.2025.100011.

An extreme value method to study decadal hurricane wind trends Journal of the European Meteorological Society, 2, 100\,011, doi:https://doi.org/10.1016/j.jemets.2025.100011

Reference 27

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This paper cites Stoffelen, 2017: Algorithm Theoretical Basis Document for the OSI SAF wind products, version 1.4.

An extreme value method to study decadal hurricane wind trends Stoffelen, 2017: Algorithm Theoretical Basis Document for the OSI SAF wind products, version 1.4

Reference 28

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An extreme value method to study decadal hurricane wind trends Vogelzang, J

Reference 29

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