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Health articles and research papers

Peer-reviewed papers Alcock I, White M, Cherrie M, Wheeler B, Taylor J, McInnes R et al. Land cover and air pollution are associated with asthma hospitalisations: A cross-sectional study. Environment International 2017; 109:29-41. http://doi.org/10.1016/j.envint.2017.08.009 Hajat S, Whitmore C

lake_district.pdf

SW 10/15 SW 7/10 SW 5/6 SE 5/7 S 600 7/9 SW 8/11 S 11/14 SW 11/16 SW 10/15 SW 10/15 SW 6/9 SW 3/4 SW 5/6 S 300 3/7 W 4/9 SW 5/11 S 7/12 SW 6/12 SW 6/12 SW 4/8 W 2/4 SW 2/5 S Valley 2/6 W 2/6 S 3/7 SW 6/10 SW 8/12 SW 8/12 SW 5/8 SW 2/4 SE 2/4 SE Height (m) Temperature / Feels Like (°C) 00:00 03:00

louf_bom_realtime_monitoring_calibration_radar.pdf

network OFFICIAL Figures from “Climate of Australia” by the Bureau of Meteorology State of the Australian weather radar network. • The Australian weather radar network: • 70 (and growing) radars. • 20 different types (Manufacturers, beamwidth, bands, PRF, dual-pol, …) • S, C, and soon X-bands Type # λ

husnoo_metoffice_detection_of_wind_turbine_with_neural_network.pdf

© Crow n Copyright 2021, Met Office Doppler filtering of stationary ground clutter stationary ground clutter weather “notch out” clutter reconstruct weather signal (CLEAN-AP TM ) 0 m/s 0 m/s 0 m/s Automatic detection and removal of ground clutter contamination on weather radars, Warde & Torres (2009

met-office-global-wave-model-_low-res_.pdf

-hourly interval to T+120 Model run times 00 UTC & 12 UTC to T+120 06 UTC & 18 UTC to T+48 Resolution Data are released at the model’s base resolution of 0.352° E/W by 0.234° N/S (approximately 25km at 50 degrees north). Format GRIB2 Domain Northern Hemisphere Area A: Latitude 89.9° to 0.3°N, Area B

PowerPoint Presentation

signals during op. weather scan program for pointing and relative CAL 4. Ext. active transp. for measuring RCS, Doppler, polarization (ICEAA2013) 5. Raster Sun-track (max. S/N) for absolute CAL of Rx chains (erad2016) 6. Bright Scatterers, Q-Check low-sensitivity channel, day/night (erad2018) 1

Regional values

0.8 10.3 1.4 14.1 1.1 122.7 82 103.9 128 16.1 3.0 0.0 0.0 England & Wales 21.5 2.7 11.8 2.1 16.6 2.4 225.3 121 60.4 88 10.1 -0.1 0.0 0.0 England N 20.5 2.7 11.1 1.9 15.8 2.3 208.8 122 74.2 98 12.0 0.8 0.0 0.0 England S 22.6 3.0 12.2 2.1 17.4 2.6 246.4 125 40.1 68 8.0 -1.3 0.0 0.0 Scotland N 15.8

arrcc_carissa_ws4_observational_datasets-v2.pdf

. (2014, 2015) CHIRPS v2 is a quasi-global (50°S - 50°N) gridded dataset derived from: (i) the monthly precipitation climatology product CHPClim (based on satellite and gauge data); (ii) quasiglobal geostationary thermal infrared satellite observations from the Climate Prediction Center (CPC, Janowiak et

mogreps-g-parameters-may-2019.pdf

with the ice phase precipitation being considered as a liquid water equivalent (lwe) value. It includes the contribution from the model convection scheme if this is invoked (true for Global models but not the UK models) as well as that from the model precipitation scheme. m s-1 [YYYYMMDD]T[hhmm]Z-PT

global-model-parameters-may-2019.pdf

phase precipitation being considered as a liquid water equivalent (lwe) value. It includes the contribution from the model convection scheme if this is invoked (true for Global models but not the UK models) as well as that from the model precipitation scheme. m s-1 [YYYYMMDD]T[hhmm]Z-PT[nnnn]H[mm]M

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