HF radar and the UK wave monitoring network, WAVENET

Author(s):  
L.R. Wyatt ◽  
J.J. Green ◽  
A. Middleditch ◽  
M. Moorhead
Keyword(s):  
Hf Radar ◽  
Author(s):  
G. J. Dollard ◽  
T. J. Davies ◽  
B. M. R. Jones ◽  
P. D. Nason ◽  
J. Chandler ◽  
...  
Keyword(s):  

2009 ◽  
pp. 187-194 ◽  
Author(s):  
Y. Sim Tang ◽  
Ulrike Dragosits ◽  
Netty van Dijk ◽  
Linda Love ◽  
Ivan Simmons ◽  
...  

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4434 ◽  
Author(s):  
Sophie Cowie ◽  
Rudy Arthur ◽  
Hywel Williams

Allergic rhinitis (hayfever) affects a large proportion of the population in the United Kingdom. Although relatively easily treated with medication, symptoms nonetheless have a substantial adverse effect on wellbeing during the summer pollen season. Provision of accurate pollen forecasts can help sufferers to manage their condition and minimise adverse effects. Current pollen forecasts in the UK are based on a sparse network of pollen monitoring stations. Here, we explore the use of “social sensing” (analysis of unsolicited social media content) as an alternative source of pollen and hayfever observations. We use data from the Twitter platform to generate a dynamic spatial map of pollen levels based on user reports of hayfever symptoms. We show that social sensing alone creates a spatiotemporal pollen measurement with remarkable similarity to measurements taken from the established physical pollen monitoring network. This demonstrates that social sensing of pollen can be accurate, relative to current methods, and suggests a variety of future applications of this method to help hayfever sufferers manage their condition.


2018 ◽  
Vol 18 (2) ◽  
pp. 705-733 ◽  
Author(s):  
Yuk S. Tang ◽  
Christine F. Braban ◽  
Ulrike Dragosits ◽  
Anthony J. Dore ◽  
Ivan Simmons ◽  
...  

Abstract. A unique long-term dataset from the UK National Ammonia Monitoring Network (NAMN) is used here to assess spatial, seasonal and long-term variability in atmospheric ammonia (NH3: 1998–2014) and particulate ammonium (NH4+: 1999–2014) across the UK. Extensive spatial heterogeneity in NH3 concentrations is observed, with lowest annual mean concentrations at remote sites (< 0.2 µg m−3) and highest in the areas with intensive agriculture (up to 22 µg m−3), while NH4+ concentrations show less spatial variability (e.g. range of 0.14 to 1.8 µg m−3 annual mean in 2005). Temporally, NH3 concentrations are influenced by environmental conditions and local emission sources. In particular, peak NH3 concentrations are observed in summer at background sites (defined by 5 km grid average NH3 emissions < 1 kg N ha−1 yr−1) and in areas dominated by sheep farming, driven by increased volatilization of NH3 in warmer summer temperatures. In areas where cattle, pig and poultry farming is dominant, the largest NH3 concentrations are in spring and autumn, matching periods of manure application to fields. By contrast, peak concentrations of NH4+ aerosol occur in spring, associated with long-range transboundary sources. An estimated decrease in NH3 emissions by 16 % between 1998 and 2014 was reported by the UK National Atmospheric Emissions Inventory. Annually averaged NH3 data from NAMN sites operational over the same period (n =  59) show an indicative downward trend, although the reduction in NH3 concentrations is smaller and non-significant: Mann–Kendall (MK), −6.3 %; linear regression (LR), −3.1 %. In areas dominated by pig and poultry farming, a significant reduction in NH3 concentrations between 1998 and 2014 (MK: −22 %; LR: −21 %, annually averaged NH3) is consistent with, but not as large as the decrease in estimated NH3 emissions from this sector over the same period (−39 %). By contrast, in cattle-dominated areas there is a slight upward trend (non-significant) in NH3 concentrations (MK: +12 %; LR: +3.6 %, annually averaged NH3), despite the estimated decline in NH3 emissions from this sector since 1998 (−11 %). At background and sheep-dominated sites, NH3 concentrations increased over the monitoring period. These increases (non-significant) at background (MK: +17 %; LR: +13 %, annually averaged data) and sheep-dominated sites (MK: +15 %; LR: +19 %, annually averaged data) would be consistent with the concomitant reduction in SO2 emissions over the same period, leading to a longer atmospheric lifetime of NH3, thereby increasing NH3 concentrations in remote areas. The observations for NH3 concentrations not decreasing as fast as estimated emission trends are consistent with a larger downward trend in annual particulate NH4+ concentrations (1999–2014: MK: −47 %; LR: −49 %, p < 0.01, n =  23), associated with a lower formation of particulate NH4+ in the atmosphere from gas phase NH3.


2020 ◽  
Author(s):  
S L Goddard ◽  
R J C Brown ◽  
D M Butterfield ◽  
E A McGhee ◽  
C Robins ◽  
...  

2010 ◽  
Vol 10 (9) ◽  
pp. 21989-22018 ◽  
Author(s):  
M. Werner ◽  
M. Kryza ◽  
A. J. Dore ◽  
M. Błaś ◽  
S. Hallsworth ◽  
...  

Abstract. Base cations exerts a large impact on various geochemical and geophysical processes both in the atmosphere and at the Earth surface. One of the essential roles of these compounds is impact on surface pH causing an increase in alkalinity and neutralizing the effects of acidity generated by sulphur and nitrogen deposition. During recent years anthropogenic emissions of base cations in the UK have decreased substantially, by about 70% for Na+, 78% for Mg2+, 75% for Ca2+ and about 48% for K+ for the period 1990–2006. For the island regions, such as the is UK, the main source of base cation particles is the aerosol produced from the sea surface. Here, the sea salt aerosol (SSA) emissions are calculated with parameterisations proposed by Maårtensson et al. (2003); ultra fine particles, Monahan et al. (1986); fine particles and Smith and Harisson (1998); coarse particles continuously with a 0.1 μ m size step using WRF-modelled wind speed data at a 5 km × 5 km grid square resolution with a 3 h time step for two selected years 2003 and 2006. SSA production has been converted into base cation emissions, with the assumption that the chemical composition of the particle emitted from the sea surface is equal to the chemical composition of sea water, and used as input data in the Fine Resolution Atmospheric Multi-pollutant Exchange Model (FRAME). FRAME model results, yearly mean concentrations and total wet deposition at a 5 km × 5 km grid resolution, are compared with concentrations in air and wet deposition from the National Monitoring Network and measurements based estimates of UK deposition budget. The correlation coefficient for wet deposition achieves high values for Na+ and Mg2+, and for Ca2+ there is significant scattering. Base cation concentration is also represented well, with some overestimations on the west coast and underestimations in the centre of the land.


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