activity
20122022
most citedEnsemble Kalman filtering with residual nudging

17 citations · 17 across the 3 of their papers we have counts for

collaborators

7 papers

math.DS2022

Continuous and Discrete Data Assimilation with Noisy Observations for the Rayleigh-Benard Convection: A Computational Study

Mohamad Abed El Rahman Hammoud, Olivier LeMaitre, Edriss S. Titi +2

Obtaining accurate high-resolution representations of model outputs is essential to describe the system dynamics. In general, however, only spatially- and temporally-coarse observa…

physics.ao-ph2022

Enhanced Simulation of the Indian Summer Monsoon Rainfall Using Regional Climate Modeling and Continuous Data Assimilation

Srinivas Desamsetti, Hari Prasad Dasari, Sabique Langodan +6

This study assesses a Continuous Data Assimilation (CDA) dynamical-downscaling algorithm for enhancing the simulation of the Indian summer monsoon (ISM) system. CDA is a mathematic…

cs.HC2020

A Visual Analytics Based Decision Making Environment for COVID-19 Modeling and Visualization

Shehzad Afzal, Sohaib Ghani, Hank C. Jenkins-Smith +3

Public health officials dealing with pandemics like COVID-19 have to evaluate and prepare response plans. This planning phase requires not only looking into the spatiotemporal dyna…

physics.ao-ph2020

Impact of Atmospheric and Model Physics Perturbations On a High-Resolution Ensemble Data Assimilation System of the Red Sea

Sivareddy Sanikommu, Habib Toye, Peng Zhan +4

The Ensemble Adjustment Kalman Filter (EAKF) of the Data Assimilation Research Testbed (DART) is implemented to assimilate observations of satellite sea surface temperature, altime…

physics.ao-ph2019

Efficient Dynamical Downscaling of General Circulation Models Using Continuous Data Assimilation

Srinivas Desamsetti, Hari Prasad Dasari, Sabique Langodan +3

Continuous data assimilation (CDA) is successfully implemented for the first time for efficient dynamical downscaling of a global atmospheric reanalysis. A comparison of the perfor…

physics.ao-ph2016

Calibration of the K-Profile Parameterization of ocean boundary layer mixing. Part I: Development

S. E. Zedler, C. S. Jackson, F. Yao +4

In model comparisons with observational data, not all data contain information that is useful for answering a specific science question. If non-relevant or highly uncertain data ar…