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seasonal-assessment---junjul25.pdf
value for June and July is 16.0°C, which is 1.7° above the 1991-2020 average. The provisional total for June and July is 153.7 mm, which is 96.0% of the 1991- 2020 average. The provisional total for June and July is 375.5 hours, which is 108.9% of the 1991-2020 average.
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seasonal-assessment---sepoct24.pdf
mean value for September and October is 11.5°C, which is 0.2°C above the 1991-2020 average. The provisional total for September and October is 217.5 mm, which is 101.9% of the 1991-2020 average. The provisional total for September and October is 212.1 hours, which is 96.7% of the 1991-2020 average.
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Tropical cyclone verification northern hemisphere 2024
tropical storm status. 2. Tropical cyclone activity Tropical cyclone activity NWP NEP NAT NI MED TOTAL Tropical depressions (<34 knots) 5 (2) 2 (3) 0 (1) 0 (0) 0 (0) 7 (6) Tropical storms (34-63 knots) 8 (5) 8 (7) 7 (13) 3 (4) 2 (1) 28 (30) Hurricanes/typhoons (>63 knots) 15 (11) 5 (10) 11 (7) 1 (4) 0 (0
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Tropical cyclone verification northern hemisphere 2022
tropical storm status. 2. Tropical cyclone activity Tropical cyclone activity NWP NEP NAT NI MED TOTAL Tropical depressions (<34 knots) 5 (6) 0 (0) 2 (0) 0 (0) 0 (0) 7 (6) Tropical storms (34-63 knots) 13 (13) 8 (11) 5 (14) 6 (3) 1 (2) 33 (43) Hurricanes/typhoons (>63 knots) 12 (10) 10 (8) 8 (7) 1 (3) 0
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global-atmospheric-model-17-km-resolutionpdf
+54 to T+144 12. accumulated convective rain Hourly T+1 to T+48, 6 hourly T+54 to T+144 13. accumulated dynamic snow Hourly T+1 to T+48, 6 hourly T+54 to T+144 14. accumulated convective snow Hourly T+1 to T+48, 6 hourly T+54 to T+144 15. total downward SW flux (surface) Hourly T+0 to T+48, 3 hourly
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global-atmospheric-model-17-km-resolution.pdf
+54 to T+144 12. accumulated convective rain Hourly T+1 to T+48, 6 hourly T+54 to T+144 13. accumulated dynamic snow Hourly T+1 to T+48, 6 hourly T+54 to T+144 14. accumulated convective snow Hourly T+1 to T+48, 6 hourly T+54 to T+144 15. total downward SW flux (surface) Hourly T+0 to T+48, 3 hourly
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husnoo_metoffice_detection_of_wind_turbine_with_neural_network.pdf
velocities. www.metoffice.gov.uk © Crow n Copyright 2021, Met Office Model and training details • 2 columns (spectral dualpol and power) • 4 output neurons with SoftMax: [unfiltered/filtered/clutter/WT] • Total number of parameters: 4,524 Ilustration: https://www.frontiersin.org/articles/10.3389/fpsyg
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Met Office_PPS_Report 2018
was conducted through a nationally representative face-to-face survey*. In total, 2,054 interviews were conducted with people aged 16+ in the UK. The results are weighted to the known UK population profile. Objectives 1 2 Assess the importance of, and satisfaction with the key elements of weather forecasts
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Severe heatwaves and droughts are making extreme wildfires more frequent and intense worldwide
, for example, would not have been on an extreme scale.” Highlights of extreme fire season A total of 3.7 million km2 – an area larger than India – was burned by wildfires globally in 2024-25. 100 million people and US $215 billion worth of homes and infrastructure were exposed to wildfire. Emissions from
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Tropical cyclone forecast verification - southern hemisphere 2022-23
reaches tropical storm status. 2. Tropical cyclone activity Tropical cyclone activity SWI AUS SAT TOTAL Tropical depressions (<35 knots) 0 0 0 0 Tropical storms (35-63 knots) 2 6 0 8 Hurricanes/typhoons (>63 knots) 6 5 0 11 Total 8 11 0 19 Basin name abbreviations: SWI : South-West Indian (west