Weather impacts all of our lives and we all take a close interest in it, with every news report finishing with a weather forecast watched by millions. Accurate weather forecasting is essential for the transport, agricultural and energy industries and the emergency and defence services. The Met Office plays a vital role by making 5-day forecasts, using advanced computer algorithms which combine ...

In this paper a new advection scheme for the online coupled chemical–weather prediction model EnviroHIRLAM is presented. The new scheme is based on the locally mass-conserving semi-Lagrangian method (LMCSL), where the original two-dimensional scheme has been extended to a fully three-dimensional version. This means that the three-dimensional semi-implicit semi-Lagrangian scheme which is current...

135 South 1460 East, Room 819 (WBB), Salt Lake City, Utah 84112-0110 Phone: (801) 581-6136 Fax: (801) 585-3681 Web: www.atmos.utah.edu One of the great remaining challenges of numerical weather prediction lies close to the surface, where unresolved boundary layer processes and surface momentum and energy exchanges require parameterizations. These parameterizations, however, still rely on the si...

SeaWinds on QuikSCAT, a spaceborne Ku-band scatterometer, estimates ocean winds via the relationship between the normalized radar backscatter and the vector wind. Scatterometer wind retrieval generates several possible wind vector solutions or ambiguities at each resolution cell, requiring a separate ambiguity selection step to give a unique solution. In processing SeaWinds on QuikSCAT data, th...

The crch package provides functions for maximum likelihood estimation of censored or truncated regression models with conditional heteroscedasticity along with suitable standard methods to summarize the fitted models and compute predictions, residuals, etc. The supported distributions include leftor right-censored or truncated Gaussian, logistic, or student-t distributions with potentially diff...

This paper attempts to summarise the main research gaps evident in the field of road ice prediction. Suggestions are made for improvements to numerical road weather models, mostly by the incorporation of a spatial model component to eliminate the need for thermal mapping. It is proposed that alternative and efficient survey techniques are developed which utilise the full potential of GPS and GI...

Remotely-sensed observations from satellites hold great promise for providing a wealth of hightemporal and spatial resolution data, particularly over the oceans. However, it has been very difficult for numerical weather prediction systems to show consistent, positive forecast improvement attributable to satellite retrievals obtained in the conventional manner. By developing techniques for the d...

[1] The moisture transport integrated over the depth of the atmosphere (0) is estimated over oceans using satellite data. The transport is the product of the precipitable water and an equivalent velocity (ue), which, by definition, is the depth-averaged wind velocity weighted by humidity. An artificial neural network is employed to construct a relation between the surface wind velocity measured...

n-ith the aid of an electronic computer, case studirs of n-ind malyses at the 85O-and ZOO-mb. pressure levels have beet1 made. The divergent and non-divcrgetlt wind cornpotleuts resulting from the and v wind-component analyses are investigated. For thfs caws considered, the streamfunction fields are slightly superior to the Joint Numerical Weather Prediction opcxrational fields, obtained initia...

SeaWinds data are provided by the Jet Propulsion Laboratory (JPL) at 25-km resolution, whereas most numerical weather prediction (NWP) models use observations at least a 100-km density. We have developed a QuikSCAT wind product at a coarser resolution than the JPL product in order to achieve a more appropriate information content for assimilation in NWP models. This product includes quality con...