Follow
Nipun Gunawardena
Title
Cited by
Cited by
Year
The MATERHORN: Unraveling the intricacies of mountain weather
HJS Fernando, ER Pardyjak, S Di Sabatino, FK Chow, SFJ De Wekker, ...
Bulletin of the American Meteorological Society 96 (11), 1945-1967, 2015
1922015
C-FOG: life of coastal fog
HJS Fernando, I Gultepe, C Dorman, E Pardyjak, Q Wang, SW Hoch, ...
Bulletin of the American Meteorological Society 102 (2), E244-E272, 2021
532021
Development and evaluation of an open-source, low-cost distributed sensor network for environmental monitoring applications
N Gunawardena, ER Pardyjak, R Stoll, A Khadka
Measurement Science and Technology 29 (2), 024008, 2018
292018
Particle swarm optimization for source localization in realistic complex urban environments
N Gunawardena, KK Leang, E Pardyjak
Atmospheric Environment 262, 118636, 2021
162021
Does the use of reference organisms in radiological impact assessments provide adequate protection of all the species within an environment?
B Charrasse, A Anderson, JC Mora, J Smith, E Cohenny, ATK Ikonen, ...
Science of the total environment 658, 189-198, 2019
112019
Instagram hashtag sentiment analysis
N Gunawardena, J Plumb, N Xiao, H Zhang
University of Utah, Utah, 2013
112013
Machine learning emulation of spatial deposition from a multi-physics ensemble of weather and atmospheric transport models
N Gunawardena, G Pallotta, M Simpson, DD Lucas
Atmosphere 12 (8), 953, 2021
82021
The MATERHORN: Unraveling the intricacies of mountain weather, B. Am. Meteorol. Soc., 96, 1945–1967
HJS Fernando, ER Pardyjak, S Di Sabatino, FK Chow, SFJ De Wekker, ...
42015
Data filling of micrometeorological variables in complex terrain for high-resolution nowcasting
N Gunawardena, P Durand, T Hedde, F Dupuy, E Pardyjak
Atmosphere 13 (3), 408, 2022
32022
An overview of the Idealized Planar Array experiment for Quantifying Surface heterogeneity (IPAQS) in the atmospheric surface layer experiment
E Pardyjak, M Calaf, M Hultmark, CW Higgins, G Iungo, D Zajic, ...
AGU Fall Meeting Abstracts 2018, A52D-02, 2018
12018
KASCADE2017-An experimental study of thermal circulations and turbulence in complex terrain
E Pardyjak, F Dupuy, P Durand, N Gunawardena, T Hedde, P Rubin
EGU General Assembly Conference Abstracts, 17879, 2017
12017
Assessing Historical Fallout Patterns During 1950-1960's with Downscaled ERA5 Data
D McGuffin, P Goldstein, N Gunawardena, J Nasstrom, D Lucas
AGU23, 2023
2023
Bayesian Source Estimation of Nuclear Weapon Fallout via Machine Learning
N Gunawardena, O Alvarez, P Goldstein, D McGuffin, DD Lucas, ...
AGU23, 2023
2023
Machine Learning Reconstruction of Atmospheric Releases from Catastrophic Radiological Events
DD Lucas, N Gunawardena
AGU Fall Meeting Abstracts 2022, NH45B-0458, 2022
2022
Predicting the Time Evolution of Dispersing Atmospheric Clouds using Deep Neural Networks
D Lucas, Y Wang, MG Fernandez-Godino, N Gunawardena, X Yue
AGU Fall Meeting Abstracts 2021, GC45F-0872, 2021
2021
Rapid Prediction of Radioactive Material Deposition Patterns Using Machine Learning
N Gunawardena, A Gowardhan, D Lucas
AGU Fall Meeting Abstracts 2021, A15E-1686, 2021
2021
Seeing Fog Clearly: The C-FOG Research Program Addresses Predictability
HJS Fernando, I Gultepe, C Dorman, E Pardyjak, Q Wang, SW Hoch, ...
Bulletin of the American Meteorological Society 102 (7), 640-650, 2021
2021
An atmospheric surface layer study: The Idealized horizontal Planar Array experiment for Quantifying Surface Heterogeneity (IPAQS)
T Morrison, M Calaf, E Pardyjak, M Hultmark, C Higgins, G Iungo, S Drake, ...
EGU General Assembly Conference Abstracts, 12081, 2020
2020
Adaptively Selecting Optimal Points for Quickly Modeling Atmospheric Ensembles
N Gunawardena, G Pallotta, DD Lucas
AGU Fall Meeting Abstracts 2019, GC43D-1366, 2019
2019
The Idealized Planar-Array Study for Quantifying Surface heterogeneity (IPAQS) in the atmospheric surface layer
E Pardyjak, M Calaf, M Hultmark, CW Higgins, G Iungo, SA Drake, ...
AGU Fall Meeting Abstracts 2019, A13N-3141, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–20