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• metoffice_sipn_2014_aug.pdf

  based estimate. September Monthly Averaged Extent Projection: (5.3 ± 0.6) × 10 6 km 2 Model: HadGEM3 Ice Component: CICE [Hunke and Lipscomb, 2010], Global Sea Ice 3.0 Ocean Component: NEMO [Madec, 2008], Global Ocean 3.0 Atmospheric Component: Met Office Unified Model (UM) [Brown et al., 2012

• metoffice_sipn_2014_augpdf

  based estimate. September Monthly Averaged Extent Projection: (5.3 ± 0.6) × 10 6 km 2 Model: HadGEM3 Ice Component: CICE [Hunke and Lipscomb, 2010], Global Sea Ice 3.0 Ocean Component: NEMO [Madec, 2008], Global Ocean 3.0 Atmospheric Component: Met Office Unified Model (UM) [Brown et al., 2012

• Microsoft PowerPoint - Maintenance experiences with SSPA dual-polarization weather radar.pptx

  Maintenance experience with SSPA dual-polarization weather radar Morihiro SAWADA, Y. KAJIWARA, H. OKUMURA, H. Inoue, and T. HIKIDA Observation Division, Atmosphere and Ocean Department, JMA 9th Nov. 2023 Japan Meteorological Agency Contents 1. SSPA weather radar in Japan 2. Efficient inspection

• PowerPoint Presentation

  η η η Spatial Extremal Dependence in Natural Hazard Footprints Laura C. Dawkins 1 & David B. Stephenson 2 1. Motivation Storm damage 2. Application • Re-insurers use catastrophe models to estimate risk of natural hazards for insurance pricing. These models require synthetic simulations of natural

• 6-sepa.final.pdf

  will be used with existing depth duration frequency (DDF) models, such as the Flood Estimation Handbook 2013 DDF model 1 , which give expected rainfall depths for different durations and annual exceedance probabilities based on present day observed rainfall (see Figure 2). The annual exceedance probability

• Microsoft PowerPoint - Poster_MJB_Seamless_Prediction_Workshop_Can_we_tune_ENSO_June_2025

  Can we tune parametrisations to reproduce relationships that control ENSO? Mike Bell, Benni Buchenau, John Edwards (Met Office) Mike Benni 1. Introduction Strong correlations (box 2) : Interannual variations in the net surface heat flux (NSHF) into the equatorial Pacific ocean are well correlated

• WorkStationEvalsFourthRoundUpdMOG-3

  additional source of information to aid any procurement process but should not be viewed in isolation of other important procurement requirements. Software Functionality Available and Compliant? /X Comments 1. Display of OPMET data and other data types in text format 2. WAFS GRIB2 decoder and compliant

• Limit rise to 1.5°C: avoid worst climate impacts

  Achieving a climate target of staying under 1.5°C would hold back many of the risks associated with a 2°C rise says the Met Office, following joint research by the Met Office and the University of Exeter. Commenting ahead of the final outcome of the IPCC negotiations, The Met Office’s Professor

• verification2008.pdf

  2008 North Atlantic hurricane season: verification of the Met Office seasonal forecast January 2009 Verification_report_branded V02 - 1 – © Crown copyright 2008 Contents Executive summary...........................................................................................................2

• ukcp18-weather-types-factsheet-november-2025.pdf

  different local conditions given the uncertainty in the driving information. • Derived projections – a set of climate futures for the UK at 60km grid resolution for a low emissions scenario, RCP2.6, and a global warming level of 2 °C and 4 °C. These have been derived from the global projections using