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Elynn Wu
Elynn Wu
Allen Institute for Artificial Intelligence
Verified email at allenai.org
Title
Cited by
Cited by
Year
Operational solar forecasting for the real-time market
D Yang, E Wu, J Kleissl
International Journal of Forecasting 35 (4), 1499-1519, 2019
1042019
Quantifying climate forcings and feedbacks over the last millennium in the CMIP5–PMIP3 models
AR Atwood, E Wu, DMW Frierson, DS Battisti, JP Sachs
Journal of Climate 29 (3), 1161-1178, 2016
842016
On the Parameterization of Convective Downdrafts for Marine Stratocumulus Clouds
E Wu, H Yang, J Kleissl, K Suselj, MJ Kurowski, J Teixeira
Monthly Weather Review 148 (5), 1931-1950, 2020
212020
Coastal Stratocumulus cloud edge forecasts
E Wu, RES Clemesha, J Kleissl
Solar Energy 164, 355-369, 2018
202018
Data‐Model Comparisons of Tropical Hydroclimate Changes Over the Common Era
AR Atwood, DS Battisti, E Wu, DMW Frierson, JP Sachs
Paleoceanography and Paleoclimatology 36 (7), e2020PA003934, 2021
172021
Solar 2014: Reducing solar project uncertainty with an optimized resource assessment tuning methodology
A Kankiewicz, W Kirkland, J Dise, E Wu, R Perez
Proc. ASES Annu. Conf., 1-6, 2014
162014
Productive performance engineering for weather and climate modeling with Python
T Ben-Nun, L Groner, F Deconinck, T Wicky, E Davis, J Dahm, O Elbert, ...
arXiv preprint arXiv:2205.04148, 2022
112022
Observation-Based Analog Ensemble Solar Forecast in Coastal California
E Wu, MZ Zapata, L Delle Monache, J Kleissl
2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), 2440-2444, 2019
62019
Worst Expected Ramp Rates from Cloud Speed Measurements
GC Wang, JL Bosch, B Kurtz, Í de la Parra, E Wu, J Kleissl
2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), 2281-2286, 2019
52019
Irradiance enhancement events in the coastal Stratocumulus dissipation process
MZ Zapata, E Wu, J Kleissl
52019
Integration of Behind-The-Meter PV Fleet Forecasts into Utility Grid System Operations
A Kankiewicz, E Wu
3rd ICEM, 2015
52015
Pace v0. 1: A Python-based Performance-Portable Implementation of the FV3 Dynamical Core
J Dahm, E Davis, F Deconinck, O Elbert, R George, J McGibbon, T Wicky, ...
EGUsphere, 1-24, 2022
42022
On the ability of ground based global horizontal irradiance measurements to reduce error in satellite derived plane of array irradiance data for fixed tilt photovoltaic power …
E Riley, M Lave, E Wu, J Dise, T Tirumalai, JL Bosch, C Tammineedi
2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC), 0297-0300, 2016
42016
On the parameterization of convective downdrafts to represent marine stratocumulus clouds
E Wu, H Yang, JP Kleissl, M Kurowski, K Suselj, J Teixeira
AGUFM 2019, A41L-2737, 2019
12019
How domain-specific languages in Python can bridge the software productivity gap in weather and climate science: Demonstration with the SHiELD Atmospheric Model
E Wu, J Dahm, F Deconinck, O Elbert, J McGibbon, T Wicky, L Harris, ...
Fall Meeting 2022, 2022
2022
Towards performance portability and productive performance engineering for global cloud-resolving Earth system models on large supercomputers
T Wicky, J Dahm, F Deconinck, O Elbert, J McGibbon, E Wu, T Ben-Nun, ...
Fall Meeting 2022, 2022
2022
Accelerating the Dynamical Core of FV3GFS with a Python Based Domain Specific Language: Establishing a Performance Baseline on GPUs
F Deconinck, T Wicky, J Dahm, E Davis, O Elbert, R George, J McGibbon, ...
AGU Fall Meeting Abstracts 2021, A55B-1372, 2021
2021
Development of stratocumulus cloud modeling in coastal California for solar forecasting
E Wu
PQDT-Global, 2020
2020
Advancing solar energy forecasting through the underlying physics
H Yang, MS Ghonima, X Zhong, B Ozge, B Kurtz, E Wu, FA Mejia, ...
AGU Fall Meeting Abstracts, 2017
2017
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Articles 1–19