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Bird, Leroy J.
67
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Online (66)
Print (1)
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Articles (Online) (16)
OpenAccess-fulltext (49)
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1
A forecast-model-based extreme weather event attribution sy..:
Tradowsky, Jordis S
;
Bodeker, Greg E
;
Noble, Christopher J
...
Environmental Research: Climate. 2 (2023) 4 - p. 045008 , 2023
Link:
https://doi.org/10.1088/..
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2
Sensitivity of extreme precipitation to climate change infe..:
Bird, Leroy J.
;
Bodeker, Gregory E.
;
Clem, Kyle R.
Communications Earth & Environment. 4 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1038/..
?
3
Deep learning for stochastic precipitation generation – dee..:
Bird, Leroy J.
;
Walker, Matthew G. W.
;
Bodeker, Greg E.
...
Geoscientific Model Development. 16 (2023) 13 - p. 3785-3808 , 2023
Link:
https://doi.org/10.5194/..
?
4
The effect of experiment conditioning on estimates of human..:
Stone, Dáithí A.
;
Rosier, Suzanne M.
;
Bird, Leroy
...
Weather and Climate Extremes. 36 (2022) - p. 100427 , 2022
Link:
https://doi.org/10.1016/..
?
5
The MAPM (Mapping Air Pollution eMissions) method for infer..:
Nathan, Brian
;
Kremser, Stefanie
;
Mikaloff-Fletcher, Sara
...
Atmospheric Chemistry and Physics. 21 (2021) 18 - p. 14089-14108 , 2021
Link:
https://doi.org/10.5194/..
?
6
The winter 2019 air pollution (PM2.5) measurement campaign ..:
Dale, Ethan R.
;
Kremser, Stefanie
;
Tradowsky, Jordis S.
...
Earth System Science Data. 13 (2021) 5 - p. 2053-2075 , 2021
Link:
https://doi.org/10.5194/..
?
7
WRF4PALM v1.0: a mesoscale dynamical driver for the microsc..:
Lin, Dongqi
;
Khan, Basit
;
Katurji, Marwan
...
Geoscientific Model Development. 14 (2021) 5 - p. 2503-2524 , 2021
Link:
https://doi.org/10.5194/..
?
8
Simplified SAGE II ozone data usage rules:
Kremser, Stefanie
;
Thomason, Larry W.
;
Bird, Leroy J.
Earth System Science Data. 12 (2020) 2 - p. 1419-1435 , 2020
Link:
https://doi.org/10.5194/..
?
9
The sensitivity of Southern Ocean aerosols and cloud microp..:
Revell, Laura E.
;
Kremser, Stefanie
;
Hartery, Sean
...
Atmospheric Chemistry and Physics. 19 (2019) 24 - p. 15447-15466 , 2019
Link:
https://doi.org/10.5194/..
?
10
Deep learning for stochastic precipitation generation – dee..:
Bird, Leroy J
;
Walker, Matthew G. W
;
Bodeker, Greg E
...
doi:10.5194/gmd-16-3785-2023. , 2023
Link:
https://doi.org/10.5194/..
?
11
Deep learning for stochastic precipitation generation – dee..:
Bird, Leroy J
;
Walker, Matthew G. W
;
Bodeker, Greg E
...
Geoscientific Model Development -- http://www.bibliothek.uni-regensburg.de/ezeit/?2456725 -- http://www.geosci-model-dev.net/ -- 1991-9603. , 2023
Link:
https://doi.org/10.5194/..
?
12
Code for "Deep learning extreme precipitation of the past, ..:
Bird, Leroy
doi:10.5281/zenodo.6917839. , 2022
Link:
https://zenodo.org/recor..
?
13
Deep learning for stochastic precipitation generation – Dee..:
Bird, Leroy
;
Walker, Matthew
;
Bodeker, Greg
...
doi:10.5194/gmd-2022-163. , 2022
Link:
https://doi.org/10.5194/..
?
14
Data files for figures in "Deep learning extreme precipitat..:
Bird, Leroy
;
Bodeker, Greg
;
Clem, Kyle
doi:10.5281/zenodo.6930751. , 2022
Link:
https://zenodo.org/recor..
?
15
The winter 2019 air pollution (PM2.5) measurement campaign ..:
Dale, Ethan R
;
Kremser, Stefanie
;
Tradowsky, Jordis S
...
Earth System Science Data -- http://www.earth-syst-sci-data.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2475469 -- 1866-3516. , 2021
Link:
https://doi.org/10.5194/..
1-15
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