Weather Science provides the forecasting capabilities that are used for routine operational short to medium range forecasting of the weather, the oceans and their impacts.
| Report No. |
Title |
Author(s) |
Year |
| 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 |
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