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/s 0.00 0.03 0.09 0.28 0.90 Figure 4: A priori CH 4 emissions for 2007 interpolated onto the InTEM inversion grid. 5.4 Bayesian cost function and uncertainty elements The cost function within an inversion framework is the tool used to assess the best-fit of the a posteriori emissions and allows

to El Niño and La Niña relate only to sea-surface-temperature anomalies in the tropical Pacific Niño3.4 region (120°–170°W, 5°N–5°S). Our references to El Niño, neutral and La Niña conditions generally correspond to sea-surface-temperature (SST) anomalies >0.5°C, between -0.5 and +0.5°C, and <-0.5

(160°E-150°W, 5°S – 5°N), the forecast vs. observed temperature correlation is r=0.84 with a 0.67°C mean RMS error. Forecasts of sea surface temperature in the Atlantic are also skilful: in the tropical Atlantic formation region (5°-85°W, 10°N– 30°N), the forecast vs. observed temperature correlation

in knots. The knot is defined as a speed of one nautical mile per hour. 1 knot = 0.51444 m s -1 = 1.15078 mile h -1 = 1.853 km h -1 = 1.689 ft s -1 There is a close relationship between surface isobars (line joining points of equal pressure) and wind speed and direction over open level terrain

on aggregate losses. Natural Hazards and Earth System Science, 18, 2933-2949 Coles, S., Heffernan, J., and Tawn, J. (1999). Dependence Measures for Extreme Value Analysis, Extremes, 2, 339–365. Ledford, A. W. and Tawn, J, A. (1996). Statistics for near independence in multivariate extreme values

Circulation errors in the Maritime Continent area remotely force excessive westerly monsoon flow into the western Pacific and erroneous cyclonic circulation in the West Pacific. Rodríguez, J. M. and Milton, S. F. (2019), Atmosphere Martin, G. M. et al, (2021), Geoscientific Model Development Martin

Sensor should provide data to (a) Service(s) ‣ For a cost-optimised system, avoid selecting instruments that generate data that the Services don’t need 22 May, 2015 Commercial-in-Confidence 6 Payload Prioritisation via Services • Information flow supports a sensitivity analysis of the dependence

probabilistic climate change projections. Clim. Change 124, 791–803. doi:10.1007/s10584-014- 1122-3 Pyatt, G., Spencer, J. Hutchby, L., Davani, S., Fletcher, J. and Purdy, K., 2003, Applying Ecological Classification in the Lowlands: A Case Study in the New Forest Inclosures, Forestry Commission Technical Paper

frequency estimation. Institute of Hydrology, Wallingford, UK, 110 pages. 2 Chan S, Dale M, Gill E and Potter R. 2017. Rainfall Intensity for Sewer Design – Stage 2 Technical Report, UK Water Industry Research Limited, London. 3 Sayers, P.B; Horritt, M; Penning-Rowsell, E; McKenzie, A. (2015) Climate

classification is proposed: .Green – No hazard warnings in force. Amber - Potentially dangerous weather is expected. Be prepared. Red – Dangerous and potentially life threatening weather conditions are expected. Take immediate and appropriate action to ensure your safety. The appropriate colour code(s