Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Humphrey W. Lean"'
Autor:
David L. A. Flack, Chris Lattimore, Mark Seltzer, Michael D. Silverstone, Matthew Lehnert, Humphrey W. Lean, Jon C. Petch, Steve Willington
Publikováno v:
Atmospheric Science Letters, Vol 25, Iss 6, Pp n/a-n/a (2024)
Abstract Operational Meteorologists (OMs) in the Met Office have a perception that elevated convection is not well represented in kilometre‐scale models, which are generally associated with an improved representation of convection. Here, we conside
Externí odkaz:
https://doaj.org/article/6d28f0edae8d490e9389cffac3754fca
Autor:
Chun Hay Brian Lo, Thorwald H. M. Stein, Robert W. Scovell, Chris D. Westbrook, Timothy Darlington, Humphrey W. Lean
Publikováno v:
Meteorological Applications, Vol 31, Iss 1, Pp n/a-n/a (2024)
Abstract Differential reflectivity (ZDR) columns were observed using a Met Office three‐dimensional radar composite. An algorithm for automatic detection of ZDR columns was developed, based on ZDR≥1.0 dB and ZH≥10 dBZ. Across three case days, d
Externí odkaz:
https://doaj.org/article/c0f4e8167dc548d799a53d1489aba30c
Autor:
Sarah L. Dance, Susan P. Ballard, Ross N. Bannister, Peter Clark, Hannah L. Cloke, Timothy Darlington, David L. A. Flack, Suzanne L. Gray, Lee Hawkness-Smith, Nawal Husnoo, Anthony J. Illingworth, Graeme A. Kelly, Humphrey W. Lean, Dingmin Li, Nancy K. Nichols, John C. Nicol, Andrew Oxley, Robert S. Plant, Nigel M. Roberts, Ian Roulstone, David Simonin, Robert J. Thompson, Joanne A. Waller
Publikováno v:
Atmosphere, Vol 10, Iss 3, p 125 (2019)
The FRANC project (Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection) has researched improvements in numerical weather prediction of convective rainfall via the reduction of initial condition uncert
Externí odkaz:
https://doaj.org/article/878ff57e3c574868a0a223544f98aa7e
Publikováno v:
Weather and Forecasting.
Identifying modes of convection can be useful in both forecasting and research. For example, it allows for potentially different impacts to be determined in forecasting contexts and stratification of model behavior in research contexts. One area wher
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 148:1983-1995
Autor:
Humphrey W. Lean, Negin Nazarian, Sylvia I. Bohnenstengel, Omduth Coceal, Lewis P. Blunn, Janet F. Barlow, Robert S. Plant
Publikováno v:
Boundary-Layer Meteorology. 182:275-307
Good representation of turbulence in urban canopy models is necessary for accurate prediction of momentum and scalar distribution in and above urban canopies. To develop and improve turbulence closure schemes for one-dimensional multi-layer urban can
Autor:
Humphrey W. Lean, Kirsty Hanley
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 147:2741-2759
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 147:2657-2669
In numerical weather prediction (NWP), observations and models are quantitatively compared for the purposes of data assimilation and forecast verification. The spatial and temporal scales represented by the observation and model may differ and this r
Autor:
David L. A. Flack, Nigel Roberts, Carol Halliwell, Suzanne L. Gray, Humphrey W. Lean, Robert S. Plant, Peter Clark
Publikováno v:
Journal of the Atmospheric Sciences. 78:747-761
Convection-permitting forecasts have improved the forecasts of flooding from intense rainfall. However, probabilistic forecasts, generally based upon ensemble methods, are essential to quantify forecast uncertainty. This leads to a need to understand
Autor:
Andrew Hartley, Jennifer S. R. Pirret, Caroline L. Bain, Kirsty Hanley, Beth J. Woodhams, Humphrey W. Lean, Stuart Webster
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 147:1642-1660