Meteorology and atmospheric science

Meteorological and atmospheric science publications have exploited NEODAAS data to show specific phenomena, such as convection cells (e.g. Bennet et al., 2005) possibly associated with flooding (e.g. Gilchrist, 2006) or for comparison and validation of numerical models (e.g. Águsti-Panareda et al., 2005, Rantamaki et al., 2005). The data are also used to set the synoptic context of specific field campaigns (e.g. Stickler et al., 2006; Flentje et al., 2005)

Forecasting the development and distribution of precipitating convective clouds is a significant challenge for fine-mesh models. Routine surface weather observation networks are too scattered to map the important precursors of such cloud, including low-level convergence lines and subtle variation in moisture concentration. Once the clouds have developed, satellite imagery provides a unique perspective on the organisation of convective cloud that is critical to the investigation of where they occur under varying synoptic-scale flow regimes, season and time of day. The NEODAAS image (Fig. 1) from Bennet et al. (2006) illustrates the role played by horizontal heating inequalities across springtime southern Britain that force cumulus development in ‘streets’ over the warmer land that stream away from the South-West, Pembrokeshire and Lleyn peninsulas. Images like this play a role both in validating the quality of fine-mesh prediction and, just as importantly, the details of the distribution under varying large-scale ‘background’ weather conditions.

NOAA-9 AVHRR visible band

Figure 1: NOAA-9 AVHRR visible band, 13 May 1986, 1406 UTC.

Bennett, L.J., Browning, K.A., Blyth, A.M., Parker, D.J. & Clark, P.A (2006) A review of the initiation of precipitating convection in the United Kingdom, Quarterly Journal of The Royal Meteorological Society, 132 (617), 1001-1020, Part B.

Agusti-Panareda, A., Gray, S.L. & Methven, J. (2005) Numerical modeling study of boundary-layer ventilation by a cold front over Europe, Journal of Geophysical Research, 110 (D18304), doi:10.1029/2004JD005555.

Flentje, H., Dornbrack, A., Ehret, G., Fix, A., Kiemle, C., Poberaj, G. & Wirth, M. (2005) Water vapor heterogeneity related to tropopause folds over the North Atlantic revealed by airborne water vapor differential absorption lidar, Journal of Geophysical Research, 110(D03115), doi:10.1029/2004JD004957.

Gilchrist, A. (2006) Selkirk flood of 30 May 2003: an account and some reflections, Weather, 61(9), 255-261.

Rantamaki, M., Pohjola, M.A., Tisler, P., Bremer, P., Kukkonen, J. & Karppinen, A. (2005) Evaluation of two versions of the HIRLAM numerical weather prediction model during an air pollution episode in southern Finland, Atmospheric Environment, 39, 2775-2786.

Stickler, A., Fischer, H., Williams, J., de Reus, M., Sander, R., Lawrence, M.G., Crowley, J.N. & Lelieveld, J. (2006) Influence of summertime deep convection on formaldehyde in the middle and upper troposphere over Europe, Journal of Geophysical Research-Atmospheres, 111 (D14), Art. No. D14308.

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