Observations that are assimilated into numerical weather prediction systems are conformed
by numerous data sets and their impact should be objectively evaluated. This can be …

Forecast sensitivity to observation (FSO) methods have become increasingly popular over
the past two decades, providing the ability to quantify the impacts of various observing …

This work assesses the contribution of assimilating AMSU-A satellite-based radiance
measurements to a global data assimilation system based on an atmospheric general …

To improve the forecast accuracy of numerical weather prediction, it is essential to obtain
better initial conditions by combining simulations and available observations via data …

Abstract Ensemble Forecast Sensitivity to Observation (EFSO) is a technique that can
efficiently identify the beneficial/detrimental impacts of every observation in ensemble …

Infrasound waves travelling through atmospheric channels are affected by the conditions
they encounter along their path. The shift in the back azimuth angle of a wavefront detected …

Abstract Forecast Sensitivity-based Observation Impacts (FSOI) in an analysis–forecast​
system of the California Current System (CCS) are quantified using an adjoint-based …

Tropical Cyclones that occur over the North Indian Ocean (NIO) are warm cored, highly
devastating and short-lived compared to other oceanic basins. Numerical prediction of these …

In numerical weather prediction (NWP), a large number of observations are used to create
initial conditions for weather forecasting through a process known as data assimilation. An …

Exploring the Observation Impacts and Enhancing the Predictability for Ensemble-Based
Coupled Data Assimilation Page 1 ABSTRACT Title of Dissertation: EXPLORING THE …