Show simple item record

dc.date.accessioned2022-05-09T00:55:11Z
dc.date.available2022-05-09T00:55:11Z
dc.date.copyright06 Apr 2022
dc.date.issued2022
dc.identifier.otherMWR-D-20-0189.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4285868
dc.description.abstractThe main objective of the study is to evaluate the feasibility and benefits of assimilating satellite temperature and humidity soundings (aka Level 2 or L2 profiles), instead of radiances, from the EUMETSAT Advanced Retransmission Service (EARS) into the AROME-France data assimilation system. The satellite soundings are operational forecast-independent retrievals that used the infrared sounder IASI in synergy with its companion microwave instruments AMSU-A and MHS on board the MetOp platforms. In this assimilation study, L2 profiles are used as pseudoradiosondes, discarding vertical error correlations and the instrument vertical sensitivity in the observation operator due to the lack of available averaging kernels. Three assimilation experiments were performed, the baseline (including all satellite radiances except those from IASI, AMSU-A, and MHS sounders), the control (with observations from the baseline plus IASI, AMSU-A, and MHS radiances), and the L2 experiment (with observations from the baseline and L2 temperature and humidity profiles). The assimilation runs cover the periods of the winter 2017 and summer 2018. The forecast skills of the three experiments are gauged against independent analyses and observations. Despite that the vertical observation operator is not accounted for in this study, it is found that L2 profile assimilation does not have a negative impact on 1-h temperature and humidity forecasts, especially in the midtroposphere. Their impacts are comparable in magnitude to the radiance ones in the operational AROME framework, except in terms of temperature and wind fields during winter where the impact is more negative than positive. These findings encourage further investigations.
dc.titlePreliminary Assessment of MetOp-Based Temperature and Humidity Statistical Retrievals within the 3D-Var AROME-France Prediction System
dc.typeJournal Paper
dc.journal.volume150
dc.journal.issue4
dc.journal.titleMonthly Weather Review
dc.identifier.doi10.1175/MWR-D-20-0189.1
dc.page733–752
dc.treeMonthly Weather Review:;2022:;volume( 150 ):;issue: 004
dc.contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record