Today, most Numerical Weather Prediction (NWP) centers are assimilating cloud-free radiances. Radiances from the Atmospheric Infrared Sounder have been directly assimilated in NWP models with modest positive impacts. However, since only 5% percentage of AIRS fields of view (fovs) are cloud-free, only very small amounts of the data in the lower troposphere are assimilated. (Note that channels in...

Due to the rapid increase in deployment and high penetration of solar power generation worldwide, solar power generation forecasting has become critical to variable generation integration planning, and within utility and independent system operator (ISO) operations. Utilities and ISOs require day ahead and hour ahead as well as intra-hour solar power forecasts for core operations solar power pr...

Hydrological hazards have been extensive world-wide in recent times. In particular, there has been widespread flooding across much of Australia in response to extreme precipitation events. Hydrological modelling can be used to effectively manage the extensive effects of flood events, but the primary input for hydrological hind-, nowand fore-casting of these events is reliable knowledge of both ...

Observations from the Atmospheric Infrared Sounder (AIRS) have been operationally assimilated into the Met Office’s Numerical Weather Prediction (NWP) model since 26 May 2004. AIRS observations are screened by a 1D-Var pre-processing stage before being passed to the Met Office’s 4D-Var data assimilation system. The 1D-Var pre-processing stage is used for quality control, bias correction, cloud ...

Data assimilation (DA) is used extensively in numerical weather prediction (NWP) to improve forecast skill. Indeed, improvements in forecast skill in NWP models over the past 30 years have directly coincided with improvements in DA schemes. At present, due to data availability and technical challenges, DA is underused in space weather applications, particularly for solar wind prediction. This p...

In the earth sciences, numerical weather prediction (NWP) is primary method of predicting future conditions, and its accuracy affected by initial conditions. Data assimilation (DA) can provide high-precision conditions for NWP. The hybrid 4DVar-EnKF currently an advanced DA used many operational NWP centres. However, it has two major shortcomings: complex development maintenance tangent linear ...

Zusammenfassung Viele verschiedene Maßnahmen und Praktiken werden in Unternehmen mit New Work assoziiert. Um an dieser Stelle die Übersichtlichkeit zu verbessern, entwickeln wir eine Taxonomie, der Work-Praktiken (NWP) Blick auf ihre Wirkungsebene (Organisation vs. Person) ihr Wirkungsziel (Effizienz Innovation) durch Expert:innen ( N = 23) eingeordnet werden. Wir nutzen zudem den angepassten D...