Abstract This study analyzes the potential of deep learning using probabilistic artificial neural networks (ANNs) for postprocessing ensemble precipitation forecasts at four observation locations. We split forecast problem into two tasks: estimating probability and predicting hourly precipitation. then compare performance with classical statistical (logistical regression GLM). ANNs show a highe...

The use of hydrogen storage tanks at 100% nominal working pressure (NWP) is expected only after refuelling. Driving between refuellings characterised by the state charge SoC <100%. There experimental evidence that Type IV tested in a fire initial pressures below 1/3 NWP, leaked without rupture. This paper aims understanding this phenomenon. numerical research has demonstrated heat transfer f...

Aeolus is the first Doppler wind lidar (DWL) to measure profiles from space. an ESA (European Space Agency) explorer mission with objective retrieve winds collected atmospheric return signal which result of Mie and Rayleigh scattering laser-emitted light by molecules particulates. The focus this paper on retrieved instrument channel data, that is, originating aerosols clouds. use simulated data...

Polarimetric radar data (PRD) have potential to be used in numerical weather prediction (NWP) models improve convective-scale forecasts. However, thus far only a few studies been undertaken this research direction. To assimilate PRD NWP models, forward operator, also called simulator, is needed establish the relation between model physics parameters and polarimetric variables. Such operator nee...

Abstract Cloud cover provides crucial information for many applications such as planning land observation missions from space. It remains, however, a challenging variable to forecast, and numerical weather prediction (NWP) models suffer significant biases, hence, justifying the use of statistical postprocessing techniques. In this study, ARPEGE (Météo-France global NWP) cloud is postprocessed u...

A decade of research has shown that numerical weather prediction (NWP)-modeled wind speeds can be highly sensitive to the inputs and setups within NWP model. For resource characterization applications, this sensitivity is often addressed by constructing a range selecting one best validates against observations. However, approach not possible in areas lack high-quality hub height observations, e...

Previously published results of the study [Khen et al., 2019b] are continued. Long-term changes sea surface temperature (SST) in Far-Eastern Seas and North-West Pacific (NWP) described for 1950–2019 their relationship with large-scale climate processes by climatic indices (AO, Nino 3.4, PDO, ALPI, NPI, PNA, SHI, WP) is analyzed. SST has increased all seasons, higher rate winter autumn less sign...

Until 1991, operational NWP centers used to integrate a single control forecast starting from the analysis, which is the best estimate of the state of the atmosphere at the initial time. In December 1992, both NCEP and ECMWF started running ensembles of forecasts from slightly perturbed initial conditions (Molteni and Palmer, 1993, Buizza, 1997, Toth and Kalnay, 1993, Tracton and Kalnay, 1993, ...