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20122026
most citedEnsemble Kalman filtering with residual nudging

17 citations · 17 across the 5 of their papers we have counts for

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physics.ao-ph2023

Oil Spill Risk Analysis For The NEOM Shoreline

HVR Mittal, Mohamad Abed El Rahman Hammoud, Ana K. Carrasco +2

A risk analysis is conducted considering several release sources located around the NEOM shoreline. The sources are selected close to the coast and in neighboring regions of high m…

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…

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…

physics.ao-ph201217 cited

Ensemble Kalman filtering with residual nudging

Xiaodong Luo, Ibrahim Hoteit

Covariance inflation and localization are two important techniques that are used to improve the performance of the ensemble Kalman filter (EnKF) by (in effect) adjusting the sample…