Report No. |
Title |
Author(s) |
Year |
659 |
Updates to the global FOAM system including model and data assimilation changes. |
Carneiro, D.M.; Waters, J.; Lea, D.; Martin, M.; While, J.; Weaver, A.; Vidard, A.; Guiavarc’h, C.; Storkey, D.; Ford, D.; Blockley, E.; Baker, J.; Haines, K.; Price, M.; Bell, M.; Renshaw, R. |
2024 |
658 |
An analysis of the impact of Ocean Gliders on the AMM15 model.
|
Worsfold, M.; Good, S. |
2023 |
657 |
Assessing the impact of including a global ocean ensemble system in the Met Office coupled Numerical Weather Prediction system |
Lea, J.D.; Martin, M.J.; Price, M.; Roberts-Jones, J.; Tennant, W.; Harris, C. |
2023 |
656 |
Improved satellite detection of volcanic ash |
Saint, C. |
2023 |
655 |
Met Office Global Wave Model: Description and annual performance review, June 2022 to May 2023
|
Gómez, B.; Saulter, A. |
2023 |
654 |
The Met Office Unified Model GA7.2GL8.1 and GA7.2.1GL8.1.1
configurations: Developments from GA7GL7 |
Willett, M.R.; Brooks, M.E.; Edwards, J.M.; Lock, A.P.; Malcolm, A.J.; Muller, E.H.;Tennant, W.J. |
2023 |
653 |
Review of literature on remote sensing technologies and applications for volume/profile measurement of wind and turbulence |
Sheridan, P. |
2019 |
649 |
Sensitivity of Convective Forecasts to Driving and Regional Models During the 2020 Hazardous Weather Testbed |
Flack, D.L.A.; Bain, C.; Warner, J. |
2021 |
647 |
Investigating How the Choice of Stratospheric Meteorological Data Influences Volcanic Ash Forecasts Within the London VAAC Area of Responsibility |
Stebbing, N,; Beckett, F.; Jones, A. |
2021 |
646 |
Metrics for assessing the impact of observations in NWP: a theoretical study. Part II: suboptimal systems |
Eyre, J. |
2021 |
645 |
Short-range ocean forecast error characteristics in high resolution assimilative systems |
Carneiro, D.M.; King, R.; Martin, M.; Aguiar, A. |
2021 |
644 |
Quality-control of vehicle-based temperature observations and future recommendations |
Bell, Z.; Dance, S.L.; Waller, J.A.; O'Boyle, K. |
2021 |
643 |
Metrics for assessing the impact of observations in NWP: a theoretical study. Part I: optimal systems |
Eyre, J. |
2021 |
642 |
The effect of different levels of coupling in surface wind waves along the NWS during extreme events |
Valiente, N.G.; Saulter, A.; Lewis, H. |
2021 |
641 |
Recent results of observation data denial experiments. |
Candy, B.; Cotton, J.; Eyre, J. |
2021 |
640 |
An assessment of GNSS radio occultation data produced by Spire |
Bowler, N.E. |
2020 |
639 |
Improved parametrization scheme to represent tropospheric moist convection in the atmospheric dispersion model NAME |
Meneguz, E.; Selvaratnam, V.; Thomson, D.J.; Witham, C.S.; and others. |
2019 |
637 |
Grenfell Tower fire: modelling deposition of smoke particulates using NAME |
Kendall, E.L.; Leadbetter, S.J.; Witham, C.S.; Hort, M.C. |
2019 |
636 |
Forecast Sensitivity to Observations Impact (FSOI) by country or region |
Cotton, J.; Eyre, J. |
2019 |
635 |
Orographic drag in the Met Office Unified Model: Sensitivity to parameterization and
insights from inter-model variability in drag partition |
Elvidge, A.D. |
2019 |
634 |
Preliminary assessment of FY-3D microwave instruments towards their use in NWP systems |
Carminati F.; Atkinson, N.; Lu, Q. |
2019 |
633 |
Grenfell Tower fire: modelling smoke plume dispersion and air quality impact using NAME |
Kendall, E.L.; Hort , M. C.; Witham, C. S. |
2019 |