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Paper Citation Record · LEDGER

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast

As of 10 August 2026, this Paper Citation Record lists 100 of 101 outbound references and 0 inbound Pith citation observations for arXiv:2502.02000.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.02000 v1

Coverage vector

measured 100 of 101 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

100 of 101 outbound references displayed

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External citation measurements

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Outbound references

Observation 00100af0-9dec-490f-a5f9-1a3d1f28e51d · outbound

This paper cites Conditional diffusion models for downscaling & bias correction of Earth system model precipitation, April 2024.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Conditional diffusion models for downscaling & bias correction of Earth system model precipitation, April 2024

Reference 1

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Observation d4668ae2-d061-4f9b-8655-391fc379f97f · outbound

This paper cites Improving the utility of weather radar for the spatial frequency analysis of extreme precipitation.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Improving the utility of weather radar for the spatial frequency analysis of extreme precipitation

Reference 2

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Observation 31064dc0-68e8-4b0d-ac75-d32104e295b6 · outbound

This paper cites Stephenson.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Stephenson

Reference 3

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Observation 08bca960-b16e-4d32-8d3f-b041d0211871 · outbound

This paper cites 2015 Memorial Day Flood Impacts for Changing Watershed Conditions in Houston.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast 2015 Memorial Day Flood Impacts for Changing Watershed Conditions in Houston

Reference 4

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Observation 284cc57e-d84b-4929-94b0-a845fa17f577 · outbound

This paper cites Decomposition and graphical portrayal of the quantile score: Quantile Score Decomposition and Portrayal.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Decomposition and graphical portrayal of the quantile score: Quantile Score Decomposition and Portrayal

Reference 5

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Observation a730b793-b785-4fbf-b2f5-7bcb3ee9bd3f · outbound

This paper cites An introduction to multivariate probabilistic forecast evaluation.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast An introduction to multivariate probabilistic forecast evaluation

Reference 6

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Observation bd268ef9-1764-4af6-be2a-cb01b7e2dc80 · outbound

This paper cites Blanchet, D.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Blanchet, D

Reference 7

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Observation 4ba10e74-0e79-420c-a182-893cda031a1a · outbound

This paper cites Evaluating raw ensembles with the continuous ranked probability score.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Evaluating raw ensembles with the continuous ranked probability score

Reference 8

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Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Unresolved cited work

Reference 9

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Observation 49d4828a-ca9b-4466-aceb-6a5ea85d3d8a · outbound

This paper cites Cannon, Stephen R.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Cannon, Stephen R

Reference 10

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Observation cdf36c94-139e-4ddb-b6b5-ddc0f3acb80e · outbound

This paper cites Stan: A probabilistic programming language.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Stan: A probabilistic programming language

Reference 11

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This paper cites Practical strategies for generalized extreme value-based regression models for extremes.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Practical strategies for generalized extreme value-based regression models for extremes

Reference 12

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This paper cites Nonstationary precipitation intensity-duration-frequency curves for infrastructure design in a changing climate.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Nonstationary precipitation intensity-duration-frequency curves for infrastructure design in a changing climate

Reference 13

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This paper cites Assessing the relationships between elevation and extreme precipitation with various durations in southern Taiwan using spatial regression models.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Assessing the relationships between elevation and extreme precipitation with various durations in southern Taiwan using spatial regression models

Reference 14

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This paper cites An Introduction to Statistical Modeling of Extreme Values.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast An Introduction to Statistical Modeling of Extreme Values

Reference 15

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This paper cites Cook, Seth McGinnis, and Constantine Samaras.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Cook, Seth McGinnis, and Constantine Samaras

Reference 16

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Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Unresolved cited work

Reference 17

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This paper cites Bayesian spatial modeling of extreme precipitation return levels.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Bayesian spatial modeling of extreme precipitation return levels

Reference 18

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Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Unresolved cited work

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Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Unresolved cited work

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Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Managing uncertainty in flood protection planning with climate projections

Reference 21

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This paper cites Donat, Andrew L.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Donat, Andrew L

Reference 22

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This paper cites Farnham, Scott Steinschneider, and Upmanu Lall.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Farnham, Scott Steinschneider, and Upmanu Lall

Reference 23

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This paper cites Thorarinsdottir, and Frode Stordal.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Thorarinsdottir, and Frode Stordal

Reference 24

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This paper cites Should we apply bias correction to global and regional climate model data? Hydrology and Earth System Sciences, 16 0 (9): 0 3391--3404, 2012.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Should we apply bias correction to global and regional climate model data? Hydrology and Earth System Sciences, 16 0 (9): 0 3391--3404, 2012

Reference 25

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This paper cites Bedient, and Katherine B.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Bedient, and Katherine B

Reference 26

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This paper cites Regional extreme precipitation events: Robust inference from credibly simulated GCM variables.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Regional extreme precipitation events: Robust inference from credibly simulated GCM variables

Reference 27

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This paper cites Do CMIP5 models show El Ni \ n o diversity? Journal of Climate, November 2019.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Do CMIP5 models show El Ni \ n o diversity? Journal of Climate, November 2019

Reference 28

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Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Unresolved cited work

Reference 29

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This paper cites A deep learning-based framework for multi-source precipitation fusion.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast A deep learning-based framework for multi-source precipitation fusion

Reference 30

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This paper cites Gelfand, Sudipto Banerjee, and Dani Gamerman.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Gelfand, Sudipto Banerjee, and Dani Gamerman

Reference 31

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This paper cites Bayesian Data Analysis.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Bayesian Data Analysis

Reference 32

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Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Bayesian Workflow

Reference 33

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This paper cites Goovaerts.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Goovaerts

Reference 34

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This paper cites Nerantzaki, and Simon Michael Papalexiou.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Nerantzaki, and Simon Michael Papalexiou

Reference 35

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Observation 87477f87-a39b-446b-b7eb-acf7e66c63a6 · outbound

This paper cites Modeling Intensity - Duration - Frequency Curves for the Whole Range of Non - Zero Precipitation : A Comparison of Models.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Modeling Intensity - Duration - Frequency Curves for the Whole Range of Non - Zero Precipitation : A Comparison of Models

Reference 36

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Observation ee072d91-1251-45e7-b386-fc7a747c49ff · outbound

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Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Unresolved cited work

Reference 37

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Observation 3af1deb8-59cd-4095-918c-8f80dd889d15 · outbound

This paper cites an unresolved cited work.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Unresolved cited work

Reference 38

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Observation 6a80320c-3ca2-425b-a675-27c2837004df · outbound

This paper cites Elevation- Dependent Trends in Precipitation Observed over and around the Tibetan Plateau from 1971 to 2017.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Elevation- Dependent Trends in Precipitation Observed over and around the Tibetan Plateau from 1971 to 2017

Reference 39

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Observation 3e82d4c3-826e-4f84-ab4a-221fdd2cafa2 · outbound

This paper cites Jorgensen and John W.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Jorgensen and John W

Reference 40

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Observation f493e457-4db8-461c-ae0d-f41a4b882ff2 · outbound

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Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Unresolved cited work

Reference 41

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Observation 0b92d40e-23b8-410d-922e-c220b10e0f70 · outbound

This paper cites Statistics of extremes in hydrology.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Statistics of extremes in hydrology

Reference 42

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Observation eb920cc1-041b-4fb3-9770-da05a142bedf · outbound

This paper cites Keeling, Robert B.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Keeling, Robert B

Reference 43

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Observation 63a7a90d-7fe4-4a0d-a41c-70ec1a8e8c12 · outbound

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Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Unresolved cited work

Reference 44

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Observation 6b49f7e3-4163-41cc-a3c0-ed6d12a685ca · outbound

This paper cites Kourtis and Vassilios A.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Kourtis and Vassilios A

Reference 45

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2c13f9e8-37a6-461e-a14c-3ffe30afbae4 · outbound

This paper cites Lafferty and Ryan L.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Lafferty and Ryan L

Reference 46

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correction dated 2024-01-12. Source: crossref record 10.1038/s41612-023-00551-8->10.1038/s41612-023-00486-0:correction, observed 2026-07-11T03:07:00.218067+00:00. This notice travels one citation hop only.

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Observation 34e3db0a-3c23-4ea2-817b-7653382d6c14 · outbound

This paper cites Mccabe, and Roger S.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Mccabe, and Roger S

Reference 47

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Observation c990568e-e9ec-4b07-a2ee-580d92e61e7f · outbound

This paper cites PICAR : An Efficient Extendable Approach for Fitting Hierarchical Spatial Models.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast PICAR : An Efficient Extendable Approach for Fitting Hierarchical Spatial Models

Reference 48

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 452823f9-1b3f-4058-89be-ca726f4a1c30 · outbound

This paper cites A hierarchical Bayesian GEV model for improving local and regional flood quantile estimates.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast A hierarchical Bayesian GEV model for improving local and regional flood quantile estimates

Reference 49

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Observation 943d7a76-85d0-4eaf-912a-4802714c5b5f · outbound

This paper cites Temporal and spatial evaluation of stormwater engineering standards reveals risks and priorities across the United States.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Temporal and spatial evaluation of stormwater engineering standards reveals risks and priorities across the United States

Reference 50

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8390dd10-4c0d-4572-a140-ea11ac3549a9 · outbound

This paper cites On the Influences of Urbanization on the Extreme Rainfall over Zhengzhou on 20 July 2021: A Convection-Permitting Ensemble Modeling Study.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast On the Influences of Urbanization on the Extreme Rainfall over Zhengzhou on 20 July 2021: A Convection-Permitting Ensemble Modeling Study

Reference 51

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Observation a79b3283-4c3f-4316-96ac-1bf53afa2210 · outbound

This paper cites Pielke, Kenneth G.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Pielke, Kenneth G

Reference 52

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Unavailable: canonical work link unavailable.

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Observation 93294fdc-6b2a-4c56-8d0f-b1411a9b574e · outbound

This paper cites Brissette, Philippe Lucas-Picher , Magali Troin, and Richard Arsenault.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Brissette, Philippe Lucas-Picher , Magali Troin, and Richard Arsenault

Reference 53

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f8052084-b8fd-4845-86d8-32fc19299cdb · outbound

This paper cites Martins and Jery R.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Martins and Jery R

Reference 54

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 31ab24c6-2643-483a-9b3e-9f67eac3c484 · outbound

This paper cites u nter Bl \.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast u nter Bl \

Reference 55

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Unavailable: canonical work link unavailable.

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Observation d974085a-de64-4545-a159-5070da9904ae · outbound

This paper cites Stationarity is dead: Whither water management? Science, 319 0 (5863): 0 573--574, February 2008.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Stationarity is dead: Whither water management? Science, 319 0 (5863): 0 573--574, February 2008

Reference 56

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Observation c1867718-3438-4363-9ab0-34488989985f · outbound

This paper cites Estimation of Daily Rainfall Extremes Through the Metastatistical Extreme Value Distribution : Uncertainty Minimization and Implications for Trend Detection.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Estimation of Daily Rainfall Extremes Through the Metastatistical Extreme Value Distribution : Uncertainty Minimization and Implications for Trend Detection

Reference 57

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Observation d169c997-033f-477f-84c4-e8456048445f · outbound

This paper cites Mishra and Vijay P.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Mishra and Vijay P

Reference 58

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b6d737e2-d14c-43a3-9e5c-9998e5cf0c67 · outbound

This paper cites Moftakhari, Amir AghaKouchak, Brett F.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Moftakhari, Amir AghaKouchak, Brett F

Reference 59

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a4efaa07-8ce7-4106-989d-ecffc9bb5fab · outbound

This paper cites Modeling and mitigating natural hazards: Stationarity is immortal! Water Resources Research, 50 0 (12): 0 9748--9756, December 2014.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Modeling and mitigating natural hazards: Stationarity is immortal! Water Resources Research, 50 0 (12): 0 9748--9756, December 2014

Reference 60

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Observation 5096352a-fcdc-488c-8659-e91999d3d394 · outbound

This paper cites Nielsen-Gammon.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Nielsen-Gammon

Reference 61

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Unavailable: canonical work link unavailable.

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Observation a08c2129-829b-4ee6-9f06-d39dc94baaac · outbound

This paper cites Precipitation extremes under climate change.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Precipitation extremes under climate change

Reference 62

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Observation 8b6503a1-0411-4e6a-af52-829579354da3 · outbound

This paper cites Spatial-temporal multivariate semi- Bayesian hierarchical framework for extreme precipitation frequency analysis.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Spatial-temporal multivariate semi- Bayesian hierarchical framework for extreme precipitation frequency analysis

Reference 63

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation eef1a12a-57af-4641-a89b-b16cf9c2e7b0 · outbound

This paper cites Pendergrass, Reto Knutti, Flavio Lehner, Clara Deser, and Benjamin M.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Pendergrass, Reto Knutti, Flavio Lehner, Clara Deser, and Benjamin M

Reference 64

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 966f0317-77ab-4686-bfc5-8db18cadc17b · outbound

This paper cites Laurent, Carl Trypaluk, Dale Unruh, Michael Yekta, and Geoffrey Bonnin.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Laurent, Carl Trypaluk, Dale Unruh, Michael Yekta, and Geoffrey Bonnin

Reference 65

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 24082cec-bb5f-478c-ac84-9f75cbf668d0 · outbound

This paper cites Laurent, Carl Trypaluk, Dale Unruh, and Orlan Wilhite.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Laurent, Carl Trypaluk, Dale Unruh, and Orlan Wilhite

Reference 66

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Unavailable: canonical work link unavailable.

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Observation 214e5f3d-1547-45d7-b8c1-7253cd59aa76 · outbound

This paper cites an unresolved cited work.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Unresolved cited work

Reference 67

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6707af0a-c601-4fdd-8ff8-a358175dcd9f · outbound

This paper cites A generalized framework for process-informed nonstationary extreme value analysis.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast A generalized framework for process-informed nonstationary extreme value analysis

Reference 68

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 50f6a036-3800-48bf-94b5-426b492f0614 · outbound

This paper cites an unresolved cited work.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Unresolved cited work

Reference 69

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no resolver link, observed 2026-08-09T13:48:10.917598Z

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source=arxiv_source observed=2026-08-09T13:48:10.917598Z digest=sha256:46f3486e09bf28edf551b41f5a25f42b65ff840c0688fd4f7948498cc924cc21

Observation 978e8ad6-3bc5-468a-877a-cc302f68598a · outbound

This paper cites Gaussian Processes for Machine Learning.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Gaussian Processes for Machine Learning

Reference 70

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source=arxiv_source observed=2026-08-09T13:48:10.921706Z digest=sha256:9c702fda2657011c04f3fba2d534d9855360a130e041b6bf3ce6d2ba1e550730

Observation 251cac96-dc0b-40e3-92ef-1f8bcd53c68d · outbound

This paper cites Risser and Michael F.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Risser and Michael F

Reference 71

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:48:10.925686Z digest=sha256:82b558a3d2be4bd0eea51fc7c354b9df79372c44c1c47e3d9baf73a04d1f1afa

Observation bb8d8673-97bf-408c-b099-5d6f96142bef · outbound

This paper cites Rosenzweig, Lauren McPhillips, Heejun Chang, Chingwen Cheng, Claire Welty, Marissa Matsler, David Iwaniec, and Cliff I.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Rosenzweig, Lauren McPhillips, Heejun Chang, Chingwen Cheng, Claire Welty, Marissa Matsler, David Iwaniec, and Cliff I

Reference 72

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source=arxiv_source observed=2026-08-09T13:48:10.929751Z digest=sha256:b6fc379e6adf360a611d523eaf17997eb0d85cf316651bbb593e9e8fc1b39635

Observation 316380d3-0433-469d-b3d5-7ff18efc5dd1 · outbound

This paper cites Law Dome Ice Core 2000- Year CO2 , CH4 , N2O and d13C-CO2 , 2019.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Law Dome Ice Core 2000- Year CO2 , CH4 , N2O and d13C-CO2 , 2019

Reference 73

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source=arxiv_source observed=2026-08-09T13:48:10.933702Z digest=sha256:52c49ba353ead901a6811e5242425fd5e9be290ec2b51e551ba945e2dcbc7b59

Observation bce56a21-9dff-493d-86b2-084a95cefd0e · outbound

This paper cites Russell, Mark D.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Russell, Mark D

Reference 74

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source=arxiv_source observed=2026-08-09T13:48:10.937658Z digest=sha256:d27fde404e0d5e56775b96cd5412f43790927b3df0239ddf1b48b75236a2057e

Observation 94e61023-dd6c-4f71-b486-2afdcaf67f3b · outbound

This paper cites Techniques for assessing water infrastructure for nonstationary extreme events: A review.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Techniques for assessing water infrastructure for nonstationary extreme events: A review

Reference 75

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source=arxiv_source observed=2026-08-09T13:48:10.941811Z digest=sha256:022eb7532a860a336500163c8e3d57cd8423f2b8bdecd1134984fdb4eb187cc2

Observation 0e2915ec-5d4e-4a4c-866c-a5440a983008 · outbound

This paper cites Schlef, Kenneth E.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Schlef, Kenneth E

Reference 76

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source=arxiv_source observed=2026-08-09T13:48:10.945718Z digest=sha256:87fff2f553646e4aec69aabc6553dd1b6bf9c075ca1d2b320bb5e47bb2d6fd3e

Observation cdf16efd-4c18-4d1b-897f-9c4de12b6c2f · outbound

This paper cites Schmidt and Alan E.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Schmidt and Alan E

Reference 77

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source=arxiv_source observed=2026-08-09T13:48:10.950112Z digest=sha256:e1f870504b64686fa935e61e7ad7d16b91f7772446649a69146479ce5518edff

Observation 13548ddc-e16a-47cd-8831-8b72045f5f1b · outbound

This paper cites Axiomatic Characterization of the Quadratic Scoring Rule.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Axiomatic Characterization of the Quadratic Scoring Rule

Reference 78

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source=arxiv_source observed=2026-08-09T13:48:10.954152Z digest=sha256:07ec5e75ea879c4f6e066bc3acdd7923f56de1af29a314e61d37f5e1754cef7e

Observation 47897f31-eef3-4202-b035-42793d8e0fbd · outbound

This paper cites Seneviratne, X.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Seneviratne, X

Reference 79

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no resolver link, observed 2026-08-09T13:48:10.958091Z

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source=arxiv_source observed=2026-08-09T13:48:10.958091Z digest=sha256:bd66b910b62fffe41d64f94fd0d7d7db29c6241c6e4d34dde24ec95978acde09

Observation 62df849a-7cc0-464a-9a77-ac94ee77e8ea · outbound

This paper cites Stationarity is undead: Uncertainty dominates the distribution of extremes.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Stationarity is undead: Uncertainty dominates the distribution of extremes

Reference 80

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source=arxiv_source observed=2026-08-09T13:48:10.961956Z digest=sha256:2a88b4320938130b478adfef053719077f186fa31c24ae73e9a62103ed28385a

Observation bff2ea73-0e70-4ede-94b6-9bc1e853c866 · outbound

This paper cites Nicholas, and Klaus Keller.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Nicholas, and Klaus Keller

Reference 81

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:48:10.965810Z digest=sha256:dfb88cf43ccade16fa4bffd2df698eb756fffc89eb4c8514e7c5c5c3029a8fd5

Observation 97f6d7d6-838d-48ab-ab04-ef3fa88e318e · outbound

This paper cites Simonovic, Andre Schardong, and Joel Avruch Goldenfum.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Simonovic, Andre Schardong, and Joel Avruch Goldenfum

Reference 82

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arxiv_id_nonexistent, observed 2026-08-09T13:48:12.547770Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:48:10.969953Z digest=sha256:7168c1c3e615ebf9a7d3fa0bd157436b4602db8f3aa2cf4aec6330220244d33c

Observation 6b1d5181-40bc-4489-8807-0f1e24a86c15 · outbound

This paper cites Sobel, Chia-Ying Lee, Steven G.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Sobel, Chia-Ying Lee, Steven G

Reference 83

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:48:10.974294Z digest=sha256:975de867de35183c77fab4fc9dc2c198c2a2199ca5895543f1d9536284886531

Observation 82a5b807-eba2-4110-b791-3cc2d7566e7d · outbound

This paper cites Nonstationary bayesian modeling of precipitation extremes in the Beijing-Tianjin-Hebei Region , China.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Nonstationary bayesian modeling of precipitation extremes in the Beijing-Tianjin-Hebei Region , China

Reference 84

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:48:10.978233Z digest=sha256:548db0486d2562727ae67b14ed88701778cce6707219c0066bcb8dcf86570bca

Observation 4a0f178f-219e-4ba1-b91d-ad7f715326e7 · outbound

This paper cites Stan User's Guide.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Stan User's Guide

Reference 85

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source=arxiv_source observed=2026-08-09T13:48:10.981841Z digest=sha256:d6017b8a6d0eaf3bb277d3efee30bcd7525772849a2f46ecf300c5fbc1766af4

Observation 042bb4b9-0c1c-4d31-aa5e-2da35968bfd5 · outbound

This paper cites Statkewicz, Robert Talbot, and Bernhard Rappenglueck.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Statkewicz, Robert Talbot, and Bernhard Rappenglueck

Reference 86

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source=arxiv_source observed=2026-08-09T13:48:10.985527Z digest=sha256:47a9c47764066c38fbae73e848bc9b4f01f954b29348e7b2a31630b9350b7990

Observation 48e4675e-803f-4ab1-b8b8-41d31f11fcf4 · outbound

This paper cites Stedinger.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Stedinger

Reference 87

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source=arxiv_source observed=2026-08-09T13:48:10.989200Z digest=sha256:84b8b856d2e7b92c315d5650916d1892be9e8f6c21290109bf857331d6113d41

Observation 4ecda47f-9e75-46d3-aa1f-dd70cfa30ff2 · outbound

This paper cites Stephenson, Eric A.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Stephenson, Eric A

Reference 88

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:48:10.993044Z digest=sha256:bcb6724fc2691a94ebd3f7431f12ed2d43bc24dddb603a692332a981bb32ea1b

Observation 0235fdc1-2c86-47d6-907e-8f52f0be479e · outbound

This paper cites Global scale assessment of urban precipitation anomalies.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Global scale assessment of urban precipitation anomalies

Reference 89

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source=arxiv_source observed=2026-08-09T13:48:10.996753Z digest=sha256:38bb0c96375dfffcd2247e8c0ce7748bd6fa9c2ffd09c22bbca71bbb92d119d2

Observation 11856af1-2349-4831-a0a8-df148e5e30b7 · outbound

This paper cites Primary characteristics of the extreme heavy rainfall event over Henan in July 2021.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Primary characteristics of the extreme heavy rainfall event over Henan in July 2021

Reference 90

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source=arxiv_source observed=2026-08-09T13:48:11.000900Z digest=sha256:bbbd762637ad58e9fa3f6addff32c786d8cc669552fb11e60a492f241ee75969

Observation 931e7e85-056f-4cca-97dd-e2daed247ab7 · outbound

This paper cites Alexander.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Alexander

Reference 91

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source=arxiv_source observed=2026-08-09T13:48:11.005119Z digest=sha256:69fc05c9d7c3573591d813e62759a27094e0f751cf10808ae52b1cf71132bae5

Observation 11463128-f4ff-407c-8950-58695735ee1f · outbound

This paper cites Spatio-temporal variability of extreme precipitation in Nepal.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Spatio-temporal variability of extreme precipitation in Nepal

Reference 92

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source=arxiv_source observed=2026-08-09T13:48:11.009152Z digest=sha256:061d659b83e4bf14fb83ac138799c1ab05fb4f6697150af86793e76390ccf5dd

Observation fc9c141a-8627-4c34-9bda-634bb71df7de · outbound

This paper cites an unresolved cited work.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Unresolved cited work

Reference 93

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source=arxiv_source observed=2026-08-09T13:48:11.012954Z digest=sha256:09919f0fc2b3ccfa985d2b7dca12f54919914a07463fb48604bf3e35ddf8a077

Observation 458f3a63-e81a-44e2-b031-eaf7043aaa28 · outbound

This paper cites Guidance for flood risk analysis and mapping: Hydrology rainfall-runoff analysis.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Guidance for flood risk analysis and mapping: Hydrology rainfall-runoff analysis

Reference 94

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no resolver link, observed 2026-08-09T13:48:11.016817Z

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source=arxiv_source observed=2026-08-09T13:48:11.016817Z digest=sha256:871c0312bae4fbb1f94fc7a22c398afbdd30d22ec657f122f31dea676e019f0a

Observation 23ff30d5-bc61-4448-a52e-c338644f62ed · outbound

This paper cites Thiemann, M.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Thiemann, M

Reference 95

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:48:11.020704Z digest=sha256:129648e7f18799175ab06895da51d5b324c0863d7a458991212f05532595806b

Observation 4a76694c-c680-47c9-a440-c30056837b51 · outbound

This paper cites Jurado, Madlen Peter, Marc Scheibel, and Henning W.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Jurado, Madlen Peter, Marc Scheibel, and Henning W

Reference 96

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:48:11.024670Z digest=sha256:8c90a2a8700cfb27be0ddca07e809feb71cf1d62ca9b28f37b6a5f0de061fdae

Observation b120686f-f9a2-44ca-9a00-db18ac01a9de · outbound

This paper cites Kapnick, Geert Jan van Oldenborgh , Kirien Whan, Sjoukje Philip, Gabriel A.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Kapnick, Geert Jan van Oldenborgh , Kirien Whan, Sjoukje Philip, Gabriel A

Reference 97

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:48:11.035486Z digest=sha256:f27d9b474927e757e477e858be032549c0dc225be0a041edd489fca04b01b413

Observation 9637a98f-a1b5-413e-9bb9-115b5d3b2fe9 · outbound

This paper cites Attribution of extreme rainfall from Hurricane Harvey , August 2017.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Attribution of extreme rainfall from Hurricane Harvey , August 2017

Reference 98

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:48:11.039563Z digest=sha256:1eca0d83edec3c1a807c6df8cb32efff8345600d8b9d0df62247144c3cbbdae6

Observation 73d07ef7-f10a-470a-af46-dd663792cab1 · outbound

This paper cites Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data

Reference 99

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local_arxiv, observed 2026-08-09T13:48:11.997518Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:48:11.043661Z digest=sha256:cee4810e5082c1ee8221e415efad14543dfa75e9e1d2ff93fde92a7a1c5b15e4

Observation 268982e7-d058-476f-8efe-e74d68e7ec38 · outbound

This paper cites Wright, Guo Yu, and John F.

Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast Wright, Guo Yu, and John F

Reference 100

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arxiv_id_nonexistent, observed 2026-08-09T13:48:11.979405Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:48:11.047939Z digest=sha256:784a84241cb6c900abea066fbbedfc650344e032360d2c410398552c774b24ae

Pith citing papers

No inbound Pith citation observations are available.