I agree that this site is using cookies. You can find further informations here.
X
Bird, Leroy J.
67  results:
Search for persons X
?
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/..
 
?
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