Ensemble techniques have been used to generate daily numerical weather forecasts since the 1990’s in numerical centers around the world due to the increase of computation ability. One of the main purposes of numerical ensemble forecast tends to assimilate initial uncertainty (both observation and analysis errors) and forecast uncertainty (model errors) by applying either initial perturbation me...

A system to optimize the management of global space-weather observation networks has been developed by the National Institute of Information and Communications Technology (NICT). Named the WONM (Wide-area Observation Network Monitoring) system, it enables data acquisition, transfer, and storage through connection to the NICT Science Cloud, and has been supplied to observatories for supporting s...

We present an empirical corpus study of the meaning and usage of time phrases in weather forecasts; this is based on a novel corpus analysis technique where we align phrases from the forecast text with data extracted from a numerical weather simulation. Previous papers have summarised this analysis and discussed the substantial variations we discovered among individual writers, which was perhap...

The long term goal of this project is to develop tools for the automated analysis and nowcasting of conventional and remotely-sensed meteorological data, primarily for use at regional forecast centers, and aboard ship in remote littoral regions in which the Navy operates. In contrast to predicting weather out to several days (the purpose of numerical weather prediction), the purpose here is to ...

In FY05, RAL/NSAP modelers continued to work with the U.S. Army Test and Evaluation Command (ATEC), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Project Agency (DARPA), and other public and industrial agencies to study and improve the 4DWX real-time four-dimensional data assimilation and forecast (RTFDDA) system. The work was focused on six areas: (a) transition to the Weat...

Delays caused by uncertainty in weather forecasts can be reduced by improving traffic flow management decisions. This paper presents a methodology for traffic flow management under uncertainty in convective weather forecasts. An algorithm for assigning departure delays and reroutes to aircraft is presented. Departure delay and route assignment are executed at multiple stages, during which, upda...

It is common practice to disseminate Chemical Weather (air quality and meteorology) forecasts to the general public, via the internet, in the form of pre-processed images which differ in format, quality and presentation, without other forms of access to the original data. As the number of on-line available Chemical Weather (CW) forecasts is increasing, there are many geographical areas that are...

The National Weather Service (NWS) is now in the midst of a major paradigm shift regarding the creation and distribution of its forecasts. Instead of writing a wide array of text products, forecasters will make use of an interactive forecast preparation system (IFPS) to construct a 7-day graphical representation of the weather that will be distributed on grids of 5-km grid spacing or better (Ru...

The CTADEL Code-generation Tool for Applications based on Differential Equations using high-level Language specifications is a software environment for generating multi-platform high-performance codes for partial differential equations based problems. The CTADEL system is used as an application driver for the HIRLAM numerical weather forecast system. As such, the CTADEL system can be viewed as ...

We have recently developed a hierarchical K-Means clustering method for weather images. Using this technique, it is possible to identify storms at different scales. In this paper, we will describe an error-minimization technique to identify movement between successive frames of a sequence and show that we can use the K-Means clusters as the minimization kernel. Using this technique in combinati...