English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Recently, a number of investigations have been made that point to the robusteffectiveness of the Ensemble Kalman Filter (EnKF) in convective-scale dataassimilation. These studies have focused on the assimilation of ground-basedDoppler radar observations (i.e. radial velocity and reflectivity). Thepresent study differs from these investigations in two important ways.First, in anticipation of future satellite technology, the impact ofassimilating spaceborne Doppler-retrieved vertical velocity is examined;second, the potential for the EnKF to provide an alternative toinstrument-based microphysical retrievals is investigated.</p><p style="line-height: 20px;">It is shown that the RMS errors of the analyzed fields produced byassimilation of vertical velocity alone are in general better than thoseobtained in previous studies: in most cases assimilation of verticalvelocity alone leads to analyses with small errors (e.g. <1 ms<sup>-1</sup> forvelocity components) after only 3 or 4 assimilation cycles. Themicrophysical fields are notable exceptions, exhibiting lower errors whenobservations of reflectivity are assimilated together with observations ofvertical velocity, likely a result of the closer relationship betweenreflectivity and the microphysical fields themselves. It is also shown thatthe spatial distribution of the error estimates improves (i.e. approaches thetrue errors) as more assimilation cycles are carried out, which could be asignificant advantage of EnKF model-based retrievals

advances in geosciences

EnKF assimilation of simulated spaceborne Doppler observations of vertical velocity: impact on the simulation of a supercell thunderstorm and implications for model-based retrievals