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• arctic_sea_jun_2016.pdf

  in the Beaufort Sea north of Alaska, and the Barents Sea north of Norway (Figure 2). The conditions are likely to be associated with persistently above-average air temperatures during the spring, and frequent southerly winds in the Beaufort Sea causing ice to be blown away from the coast. Beaufort Sea Figure 1

• PWMS044_UK_3_Hourly_Spot_forecasts

  on the day it was printed. Revision History Date of this revision: 27 th May 2016 Date of Next revision: 1 st June 2017 Revision date 27 May 2016 First issue Summary of Changes Distribution This document has been distributed to Name Title Date of Issue Version Page 2 Product Description 3-Hourly site

• PWMS035_Spot_observations

  . Revision History Date of this revision: 27 th May 2016 Date of Next revision: 1 st June 2017 Revision date 27 May 2016 First issue Summary of Changes Distribution This document has been distributed to Name Title Date of Issue Version Page 2 Product Description Site specific observations for up

• pwscg-secretariat-consultation-plan-2018-19.pdf

  outlook User research will be carried out with emergency responders and the public to test new product concepts for forecasts beyond 2 weeks. This will inform development of an improved 3-month outlook for the public and responders. Nowcasting Data Services Chemet Undertake additional research

• PWMS49_Global_3_hourly_spot_forecasts

  on the day it was printed. Revision History Date of this revision: 27 th May 2016 Date of Next revision: 1 st June 2017 Revision date 27 May 2016 First issue Summary of Changes Distribution This document has been distributed to Name Title Date of Issue Version Page 2 Product Description Site

• arctic_sea_ice_briefing_aug2017.pdf

  17 August 2017 Alex West and Ed Blockley Arctic Sea Ice Current Arctic sea ice extent Arctic sea ice extent on 16th August 2017 was 5.31 million square km (Figure 1) – the joint second lowest on record for this date, according to data from the National Snow and Ice Data Center (NSIDC). Figure 2

• Weather Radar Data Quality Monitoring using Operational Observations

  Weather Radar Data Quality Monitoring using Operational Observations Dirk Klugmann 1 , Jordan Santillo 1 , Robinson Wallace 2 , Juha Salmivaara 1 , Pekka Puhakka 1 1 Vaisala Oyj, Vantaa, Finland 2 Vaisala Inc, Boulder, CO, USA Contents 1. Introduction / Motivation 2. Method 3. Examples 4. WR Data

• public-perception-survey-2016_external-web.pdf

  Presentation | December 2016 | External Use 1 The survey helps us to measure perceptions and allows us to monitor how perceptions change Purpose of the survey: 1. To measure performance against two KPIs (accuracy and usefulness) 2. To assess usage of forecasts amongst the public 3. To analyse the sources

• western_europe_attribution_june_2022.pdf

  of the June temperature anomaly (relative to 1901-1930) in the reference region (5W-13E; 38-52N) computed with observational data from CRUTEM5 (black line) and the CMIP6 ALL (red lines) and NAT (green lines) simulations. The models were evaluated against the observations (Fig. 2) by applying a number

• ukcp18_guidance_extreme_rainfallpdf

  at 2.2 km as well as a regridded version at 5 km spatial resolution in the Ordnance Survey’s British National Coordinates. The latter underpins the FUTURE- DRAINAGE uplifts (Dale et al, 2021) and the Environment Agency’s rainfall allowances tool 1 . For both 2 km and 5 km datasets, the issue can