Artículos con órdenes de acceso público - Ashwanth SrinivasanMás información
No disponible en ningún lugar: 1
Data Assimilation with Ocean Models: A Case Study of Reduced Precision and Machine Learning in the Gulf of Mexico
D Voss, G Tyson, O Zavala-Romero, A Bozec, A Srinivasan
European Conference on Parallel Processing, 284-289, 2023
Órdenes: US Department of Defense
Disponibles en algún lugar: 7
Organic aerosol formation downwind from the Deepwater Horizon oil spill
JA De Gouw, AM Middlebrook, C Warneke, R Ahmadov, EL Atlas, ...
Science 331 (6022), 1295-1299, 2011
Órdenes: US National Institutes of Health, Howard Hughes Medical Institute
An overview of uncertainty quantification techniques with application to oceanic and oil‐spill simulations
M Iskandarani, S Wang, A Srinivasan, W Carlisle Thacker, J Winokur, ...
Journal of Geophysical Research: Oceans 121 (4), 2789-2808, 2016
Órdenes: US Department of Energy
A framework to quantify uncertainty in simulations of oil transport in the ocean
RC Gonçalves, M Iskandarani, A Srinivasan, WC Thacker, E Chassignet, ...
Journal of Geophysical Research: Oceans 121 (4), 2058-2077, 2016
Órdenes: US Department of Energy
Quantifying uncertainty in Gulf of Mexico forecasts stemming from uncertain initial conditions
M Iskandarani, M Le Hénaff, WC Thacker, A Srinivasan, OM Knio
Journal of Geophysical Research: Oceans 121 (7), 4819-4832, 2016
Órdenes: US Department of Energy, US National Oceanic and Atmospheric Administration
Pragmatic aspects of uncertainty propagation: A conceptual review
WC Thacker, M Iskandarani, RC Gonçalves, A Srinivasan, OM Knio
Ocean Modelling 95, 25-36, 2015
Órdenes: US Department of Energy
Propagation of uncertainty and sensitivity analysis in an integral oil‐gas plume model
S Wang, M Iskandarani, A Srinivasan, WC Thacker, J Winokur, OM Knio
Journal of Geophysical Research: Oceans 121 (5), 3488-3501, 2016
Órdenes: US Department of Energy
A statistical interpolation code for ocean analysis and forecasting
A Srinivasan, TM Chin, EP Chassignet, M Iskandarani, N Groves
Journal of Atmospheric and Oceanic Technology 39 (3), 367-386, 2022
Órdenes: US National Science Foundation, US Department of Energy, US Department of …
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