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Exploring a cut-cell representation of terrain in a microscale model
Moves to increasingly high-resolution models give rise to more variations in the underlying orography being captured by the model grid. Consequently, high-resolution models must overcome instabilities associated with terrain-following approaches. This work further explores the capabilities of a cut-cell representation of orography for idealised orographically-forced and moist microscale flows. The model is based on terrain-intersecting coordinates and solves flow in the resulting cut-cells using a finite-volume approximation. The model has been designed for the purposes of very high-resolution simulations. Comparisons with benchmark orographic and moist test cases demonstrate very good results. Further tests show the potential for the cut-cell approach for stably resolving flows over very steep orography
Institute of Physics, Environmental Physics Group newsletter (40), May 2009
This file contains the newsletters of the Environmental Physics Group at the Institute of Physics. The fundamental aim of the Group is to promote physics within the context of the environmental sciences. In achieving this aim we provide a forum for the discussion of physics as it applies to the environment and encourage the development and application of physical methods to environmental research. The Group also encourages the education and training of physicists in the environmental sciences through meetings and contacts with educationalists at all levels. Because of the broad nature of environmental physics the Group is involved in co-operative meetings with other professional organisations with interests in the environment. These newsletters are an archive of our activities since the formation of the Group. For more information about the Environmental Physics Group, see http://www.iop.org/activity/groups/subject/env/index.htm
Overlay Journals and the path to data publication for the meteorological sciences
A poster to show the overlay journals and the path to data publication for the meteorological sciences.
Scientific publication mainly focuses on the analysis, interpretation and conclusions drawn from a given dataset, as these are the information that can be easily published in hard copy text format with diagrams. Scrutinising the raw data that forms the dataset is more difficult, as datasets are usually stored in digital media, in a variety of (often proprietary or non-standard) formats.
This means that the peer-review process is generally only applied to the methodology and final conclusions of a piece of work, and not the underlying data itself. Yet for the conclusions to stand, the data must be of good quality. A process of data publication, involving peer-review of datasets would be of benefit to many sectors of the academic community
The Climate of the UK and Recent Trends
This report discusses the climate of the UK and recent trends of change compiled from data from the UK Climate Projections 2009 project. The report discusses the global context for climate change in the UK as well as long-term averages over the regions of the UK
Supplement to: Interpretation for use of surface wind speed projections from the 11-member Met Office Regional Climate Model ensemble
This document provides supplementary material to the techincal note on "Interpretation for use of surface wind speed projections from the 11-member Met Office Regional Climate Model ensemble".
As noted in the UK Climate Projections (UKCP09) Technical note on Wind (Brown et al., 2009), the RCM surface wind speeds show biases when compared to long-term climatological means derived from observations, or from atmospheric reanalysis datasets. Biases that vary with location and season that can be attributed to aspects of the parameterisation of unresolved orography and surface roughness. As such, Brown et al. recommend that when exploiting the RCM wind data, the consequences of these climatological biases should be carefully assessed in the context of the intended application