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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 14 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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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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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

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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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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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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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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 2026-08-14T06:32:32.682623+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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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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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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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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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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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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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 2026-08-14T06:32:32.682623+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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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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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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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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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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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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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:cb28b323a2d08a5ab87d3a24f5ce3f79ff12dbafce3999664e32ef1760066885

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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doi, observed 2026-08-09T13:48:11.287993Z

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

source=arxiv_source observed=2026-08-09T13:48:10.925686Z digest=sha256:4987a14173aa06d9398a15c1e44b09f7b1657c190ec39c443451ab75c5c2e852

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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no resolver link, observed 2026-08-09T13:48:10.929751Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:48:10.929751Z digest=sha256:41b0dc9dd532b356078a9b6c56af7cb25b165e5536e8c8552061fbda1371a555

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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no resolver link, observed 2026-08-09T13:48:10.933702Z

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source=arxiv_source observed=2026-08-09T13:48:10.933702Z digest=sha256:6ae2cdaa829a81d098820a466935e8ea96e016eecbaab62ef6dbf8d3def9a676

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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doi, observed 2026-08-09T13:48:11.268074Z

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

source=arxiv_source observed=2026-08-09T13:48:10.937658Z digest=sha256:dad7793b0becced29857b20951b7401e1f5282db2ff3378dab2cd5a6bbefdfe2

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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arxiv_id_nonexistent, observed 2026-08-09T13:48:13.102170Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T13:48:10.941811Z digest=sha256:df22ed2bfb8d88fa34527fd17cea1278b1570a38b3f0e202f8a45510b0791c3b

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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arxiv_id_nonexistent, observed 2026-08-09T13:48:12.773079Z

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

source=arxiv_source observed=2026-08-09T13:48:10.945718Z digest=sha256:c9545eef54791bc84a51b9ab404426fdc93869248a0a0bdd621aa4c9a68bbdb7

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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no resolver link, observed 2026-08-09T13:48:10.950112Z

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source=arxiv_source observed=2026-08-09T13:48:10.950112Z digest=sha256:af663475a35b7943f9cc9167498dddafaa4296c77c76f7eb626bb30a372b96bf

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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no resolver link, observed 2026-08-09T13:48:10.954152Z

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source=arxiv_source observed=2026-08-09T13:48:10.954152Z digest=sha256:ecf105c4ddb844600c27a6577ce6360de6f877e9d10075642e35c4cc881e7436

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:48:10.958091Z digest=sha256:355a236dfc8ac4e38e96cda982c9218e94d7646cf7c1224670847fe0783b057f

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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verified exact
doi, observed 2026-08-09T13:48:11.241789Z

Source-reported events for the cited work

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

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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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doi, observed 2026-08-09T13:48:11.231069Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T13:48:10.965810Z digest=sha256:473129f839bf4297e97a671677348dac375f25575303e7f5e07e4c43febb4a83

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:48:10.969953Z digest=sha256:afdcb29402f561b4b14832002e153c0832645acb1cc5eb1f124c3b805c20195f

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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doi, observed 2026-08-09T13:48:11.220838Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T13:48:10.974294Z digest=sha256:025430bb1f536e3423931aa27b0fe3bb468c9638238782085a779c7e9fc5d366

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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arxiv_id_nonexistent, observed 2026-08-09T13:48:12.333831Z

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

source=arxiv_source observed=2026-08-09T13:48:10.978233Z digest=sha256:449f44656d3939276a5dc4c61599323edd994785e722945d087afc9d2e00016a

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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no resolver link, observed 2026-08-09T13:48:10.981841Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:48:10.981841Z digest=sha256:e8e6c5d5938dcaf7760e22273fd162ace3c250b8de7710112927b381008fa17c

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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arxiv_id_nonexistent, observed 2026-08-09T13:48:12.158066Z

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

source=arxiv_source observed=2026-08-09T13:48:10.985527Z digest=sha256:fd8c7db39aaa2b4ecadd3ffe60ab38a4800c692f9bac90670134f0129034401c

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

source=arxiv_source observed=2026-08-09T13:48:10.989200Z digest=sha256:9ef3c3012886e739fcad9cc3be2449b9ca2736c43bdc944c4b9718a7b46fab75

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:48:10.993044Z digest=sha256:11db689f80d232fecab65e32685830070ca83b4e7c0bfa3ef17472a6a2cd05e2

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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doi, observed 2026-08-09T13:48:11.188889Z

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

source=arxiv_source observed=2026-08-09T13:48:10.996753Z digest=sha256:3adc8bb45edeaddc83ac70c5f11d9a7c72653f300d8d9678dc86c9d4d65cfa7a

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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doi, observed 2026-08-09T13:48:11.177594Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T13:48:11.000900Z digest=sha256:cdb7c80bd9e056d8eedd0f980cbf7a8065aa7b220733d3d10bab7b280bf6c032

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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doi, observed 2026-08-09T13:48:11.166393Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T13:48:11.005119Z digest=sha256:8010601d75d220e5721d656972ab497a0b34939a8caa44ec4944fbeea88f0679

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

source=arxiv_source observed=2026-08-09T13:48:11.009152Z digest=sha256:99c3c39c41e4ea5f29a36d8a59d60321914c2e0076b6e8bcefd9a7ff32207971

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

source=arxiv_source observed=2026-08-09T13:48:11.012954Z digest=sha256:d326d7a9c4119dc5a5caa7b6b259139021ba351d5d1a9076db8438a0d070ee61

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:48:11.016817Z digest=sha256:5d1a04300c7665765ea814053669e4ba226f3ad0b26cb90a0687cbf358dbb5a0

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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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T13:48:11.020704Z digest=sha256:4e32f00e9f9fd83012b0d74db0640529b38983521c193878171e795806487ff1

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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doi, observed 2026-08-09T13:48:11.119278Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T13:48:11.024670Z digest=sha256:bf1a239572a528760039e9fac82c49247b1b94c430bd8340f3b33f3b6fc20ced

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

Resolution
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doi, observed 2026-08-09T13:48:11.107933Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T13:48:11.035486Z digest=sha256:9e692cf99e1a784a0988bdd2d921a96f825abdd7212a1e990d7ac490bcc5ec72

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

Resolution
unresolved
no resolver link, observed 2026-08-09T13:48:11.039563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:48:11.039563Z digest=sha256:f130e39515f7fbe51dde4addf34c3d0264f4a955e5a566c1bdc3ca1f98c92ccf

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:48:11.043661Z digest=sha256:67e4a67d7d9140aaae812c0542288491b94cdc1d98130529d71026294f1dc58e

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

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-09T13:48:11.047939Z digest=sha256:05bb1ac87df0b4a3039f3f772dd0f33d7fbc7ded2c69ed1189ade779e60a2ff2

Pith citing papers

No inbound Pith citation observations are available.