14–16 Jun 2021
Europe/Brussels timezone

Novel assessment of model relative humidity with satellite probabilistic estimates

16 Jun 2021, 14:45
15m

Speaker

Chloé Radice (LATMOS / IPSL)

Description

Remote sensing data are often used to assess model forecasts on multiple scales, generally by confronting past simulations to estimates. My work consists of developing a novel probabilistic method that evaluates tropical atmospheric relative humidity (RH) profiles simulations by confronting them to probability distributions of finer scale satellite estimates. This probabilistic approach allows to keep the sub-grid variability and avoids the classical determinist simplification that consists of working with a simple “best” estimate. The method is tested on RH profiles simulated by the NWP model ARPEGE for the period April-May-June 2018 and uses as reference probabilistic RH field estimated by SAPHIR (microwave sounder aboard Megha-Tropiques)

Primary authors

Chloé Radice (LATMOS / IPSL) Dr Hélène Brogniez (LATMOS / UVSQ) Dr Pierre-Emmanuel Kirstetter (NOAA/National Severe Storms Laboratory) Dr Philippe Chambon (Météo France, CNRM/GMAP/OBS)

Presentation materials