Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning | Paper Citation Record

Observation d3a995fc-525d-4cbe-b12b-b354bbc799a4 · outbound

This paper cites Hill and Gary M.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Hill and Gary M

Reference 1

Resolution: verified exact; doi, observed 2026-08-04T06:59:40.212408Z

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Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 2

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Observation 8e42521c-795a-48d1-9e63-14e881d06946 · outbound

This paper cites Bacmeister, Kevin A.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Bacmeister, Kevin A

Reference 3

Resolution: verified exact; doi, observed 2026-08-04T06:59:39.929582Z

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Observation ba5fc7d0-49c7-4390-9498-b4a8799c5467 · outbound

This paper cites Knutson, Joseph J.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Knutson, Joseph J

Reference 4

Resolution: verified exact; doi, observed 2026-08-04T06:59:39.773918Z

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Observation 7132f3a6-d7e8-44df-9bdc-752ff8386f57 · outbound

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Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 5

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Observation 1e2a078c-d3c5-4afe-af4f-410abffa85e0 · outbound

This paper cites Future change of western north pacific typhoons: Pro- jections by a 20-km-mesh global atmospheric model.Journal of Climate, 24(4):1154 – 1169, 2011.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Future change of western north pacific typhoons: Pro- jections by a 20-km-mesh global atmospheric model.Journal of Climate, 24(4):1154 – 1169, 2011

Reference 6

Resolution: verified exact; doi, observed 2026-08-04T06:59:39.485254Z

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Observation 7c6d4f4f-7575-4397-b719-4f5835ba4eac · outbound

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Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 7

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Observation a1aa9b9c-b709-49f6-b66f-1ad6a8420fc9 · outbound

This paper cites Wehner, G.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Wehner, G

Reference 8

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Observation 71c95850-91fa-4a88-bc5b-e257f5ef2674 · outbound

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Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 9

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Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 10

Resolution: verified exact; doi, observed 2026-08-04T06:59:39.087337Z

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Observation d44a0203-b741-4edf-b029-07ce088346e7 · outbound

This paper cites Camargo, Hiroyuki Murakami, Nadia Bloemendaal, Savin S.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Camargo, Hiroyuki Murakami, Nadia Bloemendaal, Savin S

Reference 11

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Observation aa78019a-9df3-4312-a7ab-d388cdf57a8f · outbound

This paper cites Knaff, and Bernadette H.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Knaff, and Bernadette H

Reference 12

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Observation 270419ae-7d08-47f6-8a18-5024ade331ad · outbound

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Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 13

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Observation dce7def8-36de-4356-a0e1-61c34cc6c516 · outbound

This paper cites Denis, René Laprise, Daniel Caya, and Jean Côté.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Denis, René Laprise, Daniel Caya, and Jean Côté

Reference 14

Resolution: verified exact; doi, observed 2026-08-04T06:59:38.969974Z

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Observation 244543ce-45f4-4dc4-a752-8ba8930d548b · outbound

This paper cites Jones, and Katja Winger.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Jones, and Katja Winger

Reference 15

Resolution: verified exact; doi, observed 2026-08-04T06:59:38.859810Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8c1a0bc5-099c-43f1-b569-96751c39079a · outbound

This paper cites Investigating global tropical cyclone activity with a hierarchy of agcms: The role of model resolution.Journal of Climate, 26 (1):133–152, 2013.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Investigating global tropical cyclone activity with a hierarchy of agcms: The role of model resolution.Journal of Climate, 26 (1):133–152, 2013

Reference 16

Resolution: verified exact; doi, observed 2026-08-04T06:59:38.754351Z

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Observation 9ed5d47a-a282-4b97-8f7d-d1b95eb48d40 · outbound

This paper cites Hurricanes and Climate Change.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Hurricanes and Climate Change

Reference 17

Resolution: verified exact; doi, observed 2026-08-04T06:59:38.345156Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e95056fc-f67c-40b0-bb5b-b25bbec2a5cc · outbound

This paper cites Robeson, Paul Staten, and Ben Kravitz.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Robeson, Paul Staten, and Ben Kravitz

Reference 18

Resolution: verified exact; doi, observed 2026-08-04T06:59:38.009147Z

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Observation 5170fff1-8db2-4896-b83b-1466bf83f40c · outbound

This paper cites an unresolved cited work.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 19

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Observation bc375f17-db40-43d2-94b4-4bf1416dc4fd · outbound

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Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 20

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Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 21

Resolution: verified exact; doi, observed 2026-08-04T06:59:37.722338Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9ef5005-dae4-446c-82cb-f160a3f5067d · outbound

This paper cites Wing, Kerry Emanuel, and Susan Solomon.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Wing, Kerry Emanuel, and Susan Solomon

Reference 22

Resolution: verified exact; doi, observed 2026-08-04T06:59:37.385234Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 327e33b6-9de8-4805-bf0c-2de5d5b364ba · outbound

This paper cites an unresolved cited work.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 23

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Observation 4b3ed355-8483-4b5d-938b-a60e1bb12dda · outbound

This paper cites Balaji, Jan-Huey Chen, Keith Dixon, and Xiaosong Yang.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Balaji, Jan-Huey Chen, Keith Dixon, and Xiaosong Yang

Reference 24

Resolution: malformed identifier; doi_truncated, observed 2026-08-04T06:59:36.855773Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7289788a-5aa7-4795-bf7b-330ed0721a7c · outbound

This paper cites an unresolved cited work.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 25

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Observation 93f9423f-c68c-418e-8b5b-863e53e319a1 · outbound

This paper cites Hastie, R.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Hastie, R

Reference 26

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Observation 2a663174-d5a2-4309-bbeb-8d8984dfed30 · outbound

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Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 27

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Observation 78db7eb3-6318-4e8b-a14c-fe722fb4e5c7 · outbound

This paper cites Wimmers, C.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Wimmers, C

Reference 28

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Observation 83959130-2c2e-47db-be0d-114c95f3e2ec · outbound

This paper cites Machine learning-based estimation of tropical cyclone intensity from advanced technology microwave sounder using a u-net algorithm.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Machine learning-based estimation of tropical cyclone intensity from advanced technology microwave sounder using a u-net algorithm

Reference 29

Resolution: verified exact; doi, observed 2026-08-04T06:59:36.493972Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7f97d1c0-ea2e-4a69-bc01-c47ea0cf5361 · outbound

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Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 30

Resolution: verified exact; doi, observed 2026-08-04T06:59:36.132360Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0008eeb4-f088-4935-95c8-95c6200d175f · outbound

This paper cites an unresolved cited work.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 31

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Observation 37f2a03b-e116-441f-a01f-f6b9bc4f583f · outbound

This paper cites Nwp-based deep learning for tropical cyclone intensity prediction,.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Nwp-based deep learning for tropical cyclone intensity prediction,

Reference 33

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Observation 296277a4-9211-4769-a3f5-c0413286e54b · outbound

This paper cites an unresolved cited work.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 34

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This paper cites Predicting tropical cyclone formation with deep learning.Weather and Forecasting, 39(1):241 – 258, 2024.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Predicting tropical cyclone formation with deep learning.Weather and Forecasting, 39(1):241 – 258, 2024

Reference 35

Resolution: verified exact; doi, observed 2026-08-04T06:59:35.902210Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 47bb5181-505d-47de-8ae5-def067248704 · outbound

This paper cites Merra-2 frequently asked questions, 2024.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Merra-2 frequently asked questions, 2024

Reference 36

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Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 37

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This paper cites Binary dataset for machine learning applications to tropical cyclone formation prediction.Scientific Data, 11:446, 2024.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Binary dataset for machine learning applications to tropical cyclone formation prediction.Scientific Data, 11:446, 2024

Reference 38

Resolution: verified exact; doi, observed 2026-08-04T06:59:35.596942Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 28e8fe25-37bd-4576-9180-3fab1af5beb4 · outbound

This paper cites A comprehensive survey of regression based loss functions for time series forecasting, 2022.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning A comprehensive survey of regression based loss functions for time series forecasting, 2022

Reference 39

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This paper cites an unresolved cited work.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 40

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This paper cites Hurricane maximum potential intensity equilibrium.Quarterly Journal of the Royal Meteo- rological Society, 141(692):2471–2480, 2015.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Hurricane maximum potential intensity equilibrium.Quarterly Journal of the Royal Meteo- rological Society, 141(692):2471–2480, 2015

Reference 41

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correction dated 2016-04-10. Source: crossref record 10.1002/qj.2772->10.1002/qj.2556:correction, observed 2026-07-11T03:13:41.611755+00:00. This notice travels one citation hop only.

Observation 93c423a7-0c3a-4102-9458-0993bde204a6 · outbound

This paper cites Robeson, and Chanh Kieu.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Robeson, and Chanh Kieu

Reference 42

Resolution: verified exact; doi, observed 2026-08-04T06:59:34.988895Z

Source-reported events for the cited work

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Observation f3417f38-e5a3-4e02-92f7-f4850eb2153d · outbound

This paper cites Stability of the tropical cyclone intensity equilibrium.Journal of the Atmospheric Sciences, 74(11):3591 – 3608, 2017.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Stability of the tropical cyclone intensity equilibrium.Journal of the Atmospheric Sciences, 74(11):3591 – 3608, 2017

Reference 43

Resolution: verified exact; doi, observed 2026-08-04T06:59:34.697538Z

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Observation 9cba028b-4e0d-41f4-a4b7-6263a29a2014 · outbound

This paper cites A look at the relationship between the large-scale tropospheric static stability and the tropical cyclone maximum intensity.Journal of Climate, 33(3):959 – 975, 2020.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning A look at the relationship between the large-scale tropospheric static stability and the tropical cyclone maximum intensity.Journal of Climate, 33(3):959 – 975, 2020

Reference 44

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Observation ea90c4cc-359e-498e-9d1f-6d167e3cd27f · outbound

This paper cites an unresolved cited work.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 45

Resolution: verified exact; doi, observed 2026-08-04T06:59:34.004105Z

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Observation 0fe7522a-c212-476b-afe3-98a3ec080671 · outbound

This paper cites Hon, and Liling Liu.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Hon, and Liling Liu

Reference 46

Resolution: verified exact; doi, observed 2026-08-04T06:59:33.715471Z

Source-reported events for the cited work

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Observation 6e00654c-6cff-44b5-953e-941f55018c26 · outbound

This paper cites Courtney and J.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Courtney and J

Reference 47

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This paper cites Knaff and Raymond M.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Knaff and Raymond M

Reference 48

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This paper cites Kieu, Hua Chen, and Da-Lin Zhang.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Kieu, Hua Chen, and Da-Lin Zhang

Reference 49

Resolution: verified exact; doi, observed 2026-08-04T06:59:33.406095Z

Source-reported events for the cited work

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This paper cites an unresolved cited work.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 50

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This paper cites an unresolved cited work.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 2000

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This paper cites an unresolved cited work.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 2001

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This paper cites an unresolved cited work.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 2010

Resolution: verified exact; doi, observed 2026-08-04T06:59:39.384746Z

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Observation f2fdd780-ab68-4b32-a8c9-e6c8e57dfa39 · outbound

This paper cites an unresolved cited work.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning Unresolved cited work

Reference 2018

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a9d4f1e0-5f41-4873-9315-fc1baf3fab21 · outbound

This paper cites NWP-based deep learning for tropical cyclone intensity prediction.

Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning NWP-based deep learning for tropical cyclone intensity prediction

Reference 2025

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