The atmospheric water vapor is a very important variable for the hydrological cycle and for short term numerical weather prediction. Groundbased GPS data are applied to validate the vertically integrated water vapor (IWV) as derived with the HRM model (High resolution Regional Model) of the German Weather Service (DWD) within the BAL.TEX (Baltic Sea Experiment) region. Data of the PIDCAP period...

HARMONIE-AROME is a convection-permitting non-hydrostatic model that includes the multipurpose SURFEX surface model. It is developed for high resolution (1–3 km) weather forecasting and applied in a number of regions in Europe and the Mediterranean. A version of HARMONIE-AROME is also under development for regional climate modelling. Here we run HARMONIE-AROME for a domain over Greenland that i...

The long-term goal of this Rapic Transition Process (RTP) project is to provide the warfighter with superior battlespace environmental awareness in terms of high fidelity four-dimensional (4D) depiction of the regional/mesoscale atmospheric states. This situational awareness is a key aspect of information superiority in the DoD’s strategic plan to ensure battlespace dominance in the 21st centur...

The processing of the Global Positioning System (GPS) observables is regularly performed using some “a priori” standard meteorological values. These can be very unrealistic if only few observations are available since the actual atmospheric conditions over the geodetic network are neglected. This seems to be the case of randomly moving GPS receivers far from continuously observing reference sta...

Abstract Current statistical postprocessing methods for probabilistic weather forecasting are not capable of using full spatial patterns from the numerical prediction (NWP) model. In this paper, we incorporate wind speed information by convolutional neural networks (CNNs) and obtain forecasts in Netherlands 48 h ahead, based on KNMI’s deterministic HARMONIE-AROME NWP The CNNs shown to have high...

The forecast skill of numerical weather prediction (NWP) models and the intrinsic predictability can be different among regimes. Here, we examine distinct Pacific-North American regimes during extended boreal summer. four identified include Pacific trough, Arctic low, high, Alaskan ridge. medium range these is quantified in ECMWF National Centers for Environmental Prediction from TIGGE project....

The Japan Meteorological Agency (JMA) upgraded the resolution of the Global Spectral Model (GSM) from TL319L40 to TL959L60 on 21 November 2007, when the Typhoon Model retired from operational use. Since then, tropical cyclone (TC) track and intensity forecasts have been supported by GSM only. GSM provides numerical weather prediction (NWP) products four times a day for all TCs existing globally...

Radiative transfer is one of the most important physical processes in the atmosphere and must be treated accurately in numerical weather prediction (NWP) and climate models. In recent decades there have been many efforts aimed at improving the accuracy of radiation measurements and modelling (for example Murcray et al. 1996; Edwards and Slingo 1996; Mlawer et al. 1997; Sun and Rikus 1999; Li an...

This paper surveys some of the fundamental properties of symplectic integration schemes for classical mechanics and particle methods in particular. The widely used Störmer-Verlet method is discussed in detail and implications of conservation of symplecticity on long term simulations are outlined. The second part of the paper describes the application of a Lagrangian particle method and the Stör...

Abstract The ensemble Kalman Filter (EnKF) and the 4D variational method (4DVar) are most commonly used filters smoothers in atmospheric science. These methods typically approximate prior densities using a Gaussian solve linear system of equations for posterior mean covariance. Therefore, strongly nonlinear model dynamics measurement operators can lead to bias estimates. To improve performance ...