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Featured researches published by Humphrey W. Lean.


Monthly Weather Review | 2008

Scale-Selective Verification of Rainfall Accumulations from High-Resolution Forecasts of Convective Events

Nigel Roberts; Humphrey W. Lean

Abstract The development of NWP models with grid spacing down to ∼1 km should produce more realistic forecasts of convective storms. However, greater realism does not necessarily mean more accurate precipitation forecasts. The rapid growth of errors on small scales in conjunction with preexisting errors on larger scales may limit the usefulness of such models. The purpose of this paper is to examine whether improved model resolution alone is able to produce more skillful precipitation forecasts on useful scales, and how the skill varies with spatial scale. A verification method will be described in which skill is determined from a comparison of rainfall forecasts with radar using fractional coverage over different sized areas. The Met Office Unified Model was run with grid spacings of 12, 4, and 1 km for 10 days in which convection occurred during the summers of 2003 and 2004. All forecasts were run from 12-km initial states for a clean comparison. The results show that the 1-km model was the most skillfu...


Monthly Weather Review | 2008

Characteristics of high-resolution versions of the Met Office unified model for forecasting convection over the United Kingdom

Humphrey W. Lean; Peter A. Clark; Mark Dixon; Nigel Roberts; Anna C. Fitch; Richard M. Forbes; Carol Halliwell

With many operational centers moving toward order 1-km-gridlength models for routine weather forecasting, this paper presents a systematic investigation of the properties of high-resolution versions of the Met Office Unified Model for short-range forecasting of convective rainfall events. The authors describe a suite of configurations of the Met Office Unified Model running with grid lengths of 12, 4, and 1 km and analyze results from these models for a number of convective cases from the summers of 2003, 2004, and 2005. The analysis includes subjective evaluation of the rainfall fields and comparisons of rainfall amounts, initiation, cell statistics, and a scale-selective verification technique. It is shown that the 4- and 1-km-gridlength models often give more realistic-looking precipitation fields because convection is represented explicitly rather than parameterized. However, the 4-km model representation suffers from large convective cells and delayed initiation because the grid length is too long to correctly reproduce the convection explicitly. These problems are not as evident in the 1-km model, although it does suffer from too numerous small cells in some situations. Both the 4- and 1-km models suffer from poor representation at the start of the forecast in the period when the high-resolution detail is spinning up from the lower-resolution (12 km) starting data used. A scale-selective precipitation verification technique implies that for later times in the forecasts (after the spinup period) the 1-km model performs better than the 12- and 4-km models for lower rainfall thresholds. For higher thresholds the 4-km model scores almost as well as the 1-km model, and both do better than the 12-km model.


Bulletin of the American Meteorological Society | 2007

The Convective Storm Initiation Project

K. A. Browning; Alan M. Blyth; Peter A. Clark; U. Corsmeier; Cyril J. Morcrette; Judith L. Agnew; Sue P. Ballard; Dave Bamber; Christian Barthlott; Lindsay J. Bennett; Karl M. Beswick; Mark Bitter; K. E. Bozier; Barbara J. Brooks; C. G. Collier; Fay Davies; Bernhard Deny; Mark Dixon; Thomas Feuerle; Richard M. Forbes; Catherine Gaffard; Malcolm D. Gray; R. Hankers; Tim J. Hewison; N. Kalthoff; S. Khodayar; M. Kohler; C. Kottmeier; Stephan Kraut; M. Kunz

The Convective Storm Initiation Project (CSIP) is an international project to understand precisely where, when, and how convective clouds form and develop into showers in the mainly maritime environment of southern England. A major aim of CSIP is to compare the results of the very high resolution Met Office weather forecasting model with detailed observations of the early stages of convective clouds and to use the newly gained understanding to improve the predictions of the model. A large array of ground-based instruments plus two instrumented aircraft, from the U.K. National Centre for Atmospheric Science (NCAS) and the German Institute for Meteorology and Climate Research (IMK), Karlsruhe, were deployed in southern England, over an area centered on the meteorological radars at Chilbolton, during the summers of 2004 and 2005. In addition to a variety ofground-based remote-sensing instruments, numerous rawinsondes were released at one- to two-hourly intervals from six closely spaced sites. The Met Office weather radar network and Meteosat satellite imagery were used to provide context for the observations made by the instruments deployed during CSIP. This article presents an overview of the CSIP field campaign and examples from CSIP of the types of convective initiation phenomena that are typical in the United Kingdom. It shows the way in which certain kinds of observational data are able to reveal these phenomena and gives an explanation of how the analyses of data from the field campaign will be used in the development of an improved very high resolution NWP model for operational use.


Monthly Weather Review | 2009

Impact of Data Assimilation on Forecasting Convection over the United Kingdom Using a High-Resolution Version of the Met Office Unified Model

Mark Dixon; Zhihong Li; Humphrey W. Lean; Nigel Roberts; S. P. Ballard

Abstract A high-resolution data assimilation system has been implemented and tested within a 4-km grid length version of the Met Office Unified Model (UM). A variational analysis scheme is used to correct larger scales using conventional observation types. The system uses two nudging procedures to assimilate high-resolution information: radar-derived surface precipitation rates are assimilated via latent heat nudging (LHN), while cloud nudging (CN) is used to assimilate moisture fields derived from satellite, radar, and surface observations. The data assimilation scheme was tested on five convection-dominated case studies from the Convective Storm Initiation Project (CSIP). Model skill was assessed statistically using radar-derived surface-precipitation hourly accumulations via a scale-dependent verification scheme. Data assimilation is shown to have a dramatic impact on skill during both the assimilation and subsequent forecast periods on nowcasting time scales. The resulting forecasts are also shown to ...


Bulletin of the American Meteorological Society | 2015

Cloud Banding and Winds in Intense European Cyclones: Results from the DIAMET Project

G. Vaughan; John Methven; Daniel C. Anderson; Bogdan Antonescu; Laura Baker; T. P. Baker; Sue P. Ballard; Keith N. Bower; P. R. A. Brown; Jeffrey M. Chagnon; T. W. Choularton; J. Chylik; Paul Connolly; Peter A. Cook; Richard Cotton; J. Crosier; Christopher Dearden; J. R. Dorsey; Thomas H. A. Frame; Martin Gallagher; Michael Goodliff; Suzanne L. Gray; Ben Harvey; Peter Knippertz; Humphrey W. Lean; D. Li; Gary Lloyd; O. Martinez Alvarado; John Nicol; Jesse Norris

AbstractThe Diabatic Influences on Mesoscale Structures in Extratropical Storms (DIAMET) project aims to improve forecasts of high-impact weather in extratropical cyclones through field measurements, high-resolution numerical modeling, and improved design of ensemble forecasting and data assimilation systems. This article introduces DIAMET and presents some of the first results. Four field campaigns were conducted by the project, one of which, in late 2011, coincided with an exceptionally stormy period marked by an unusually strong, zonal North Atlantic jet stream and a succession of severe windstorms in northwest Europe. As a result, December 2011 had the highest monthly North Atlantic Oscillation index (2.52) of any December in the last 60 years. Detailed observations of several of these storms were gathered using the U.K.’s BAe 146 research aircraft and extensive ground-based measurements. As an example of the results obtained during the campaign, observations are presented of Extratropical Cyclone Fri...


Bulletin of the American Meteorological Society | 2015

The DYMECS Project: A Statistical Approach for the Evaluation of Convective Storms in High-Resolution NWP Models

Thorwald H. M. Stein; Robin J. Hogan; Peter A. Clark; Carol Halliwell; Kirsty E. Hanley; Humphrey W. Lean; John Nicol; R. S. Plant

Abstract A new frontier in weather forecasting is emerging by operational forecast models now being run at convection-permitting resolutions at many national weather services. However, this is not a panacea; significant systematic errors remain in the character of convective storms and rainfall distributions. The Dynamical and Microphysical Evolution of Convective Storms (DYMECS) project is taking a fundamentally new approach to evaluate and improve such models: rather than relying on a limited number of cases, which may not be representative, the authors have gathered a large database of 3D storm structures on 40 convective days using the Chilbolton radar in southern England. They have related these structures to storm life cycles derived by tracking features in the rainfall from the U.K. radar network and compared them statistically to storm structures in the Met Office model, which they ran at horizontal grid length between 1.5 km and 100 m, including simulations with different subgrid mixing length. T...


Monthly Weather Review | 2007

Combination of mesoscale and synoptic mechanisms for triggering an isolated thunderstorm: Observational case study of CSIP IOP 1

Cyril J. Morcrette; Humphrey W. Lean; K. A. Browning; John Nicol; Nigel Roberts; Peter A. Clark; Andrew Russell; Alan M. Blyth

Abstract An isolated thunderstorm formed in the southern United Kingdom on 15 June 2005 and moved through the area where a large number of observational instruments were deployed as part of the Convective Storm Initiation Project. Earlier, a convergence line had formed downstream of Devon in the southwest of the United Kingdom in a southwesterly airflow, along which a series of light showers had formed. The depth of these showers was limited by a capping inversion, or lid, at around 2.5 km. The deep thunderstorm convection developed from one of these showers when the convection broke through the lid and ascended up to the next inversion, associated with a tropopause fold at around 6 km. A series of clear-air reflectivity RHIs are used to map the height of the capping inversion and its lifting resulting from the ascent along the convergence line. The origins of the lid are tracked back to some descent from the midtroposphere along dry adiabats. The strength of the lid was weaker along a northwest-to-southe...


Bulletin of the American Meteorological Society | 2016

The Convective Precipitation Experiment (COPE): Investigating the Origins of Heavy Precipitation in the Southwestern United Kingdom

David Leon; Jeffrey R. French; Sonia Lasher-Trapp; Alan M. Blyth; Steven J. Abel; Susan P. Ballard; Andrew I. Barrett; Lindsay J. Bennett; Keith N. Bower; Barbara J. Brooks; P. R. A. Brown; Cristina Charlton-Perez; Thomas Choularton; Peter A. Clark; C. G. Collier; Jonathan Crosier; Zhiqiang Cui; Seonaid R. A. Dey; David Dufton; Chloe Eagle; M. Flynn; Martin Gallagher; Carol Halliwell; Kirsty E. Hanley; Lee Hawkness-Smith; Y. Huang; Graeme Kelly; Malcolm Kitchen; Alexei Korolev; Humphrey W. Lean

AbstractThe Convective Precipitation Experiment (COPE) was a joint U.K.–U.S. field campaign held during the summer of 2013 in the southwest peninsula of England, designed to study convective clouds that produce heavy rain leading to flash floods. The clouds form along convergence lines that develop regularly as a result of the topography. Major flash floods have occurred in the past, most famously at Boscastle in 2004. It has been suggested that much of the rain was produced by warm rain processes, similar to some flash floods that have occurred in the United States. The overarching goal of COPE is to improve quantitative convective precipitation forecasting by understanding the interactions of the cloud microphysics and dynamics and thereby to improve numerical weather prediction (NWP) model skill for forecasts of flash floods. Two research aircraft, the University of Wyoming King Air and the U.K. BAe 146, obtained detailed in situ and remote sensing measurements in, around, and below storms on several d...


Monthly Weather Review | 2014

The Three-Dimensional Morphology of Simulated and Observed Convective Storms over Southern England

Thorwald H. M. Stein; Robin J. Hogan; Kirsty E. Hanley; John Nicol; Humphrey W. Lean; R. S. Plant; Peter A. Clark; Carol Halliwell

AbstractA set of high-resolution radar observations of convective storms has been collected to evaluate such storms in the Met Office Unified Model during the Dynamical and Microphysical Evolution of Convective Storms (DYMECS) project. The 3-GHz Chilbolton Advanced Meteorological Radar was set up with a scan-scheduling algorithm to automatically track convective storms identified in real time from the operational rainfall radar network. More than 1000 storm observations gathered over 15 days in 2011 and 2012 are used to evaluate the model under various synoptic conditions supporting convection. In terms of the detailed three-dimensional morphology, storms in the 1500-m grid length simulations are shown to produce horizontal structures a factor of 1.5–2 wider compared to radar observations. A set of nested model runs at grid lengths down to 100 m show that the models converge in terms of storm width, but the storm structures in the simulations with the smallest grid lengths are too narrow and too intense c...


Journal of Applied Meteorology and Climatology | 2012

Effects of Initial and Boundary Conditions of Mesoscale Models on Simulated Atmospheric Refractivity

Changgui Wang; Damian R. Wilson; Tracy Haack; Peter A. Clark; Humphrey W. Lean; Robert E. Marshall

AbstractRadar ducting is caused by sharp vertical changes in temperature and, especially, water vapor at the top of the atmospheric boundary layer, both of which are sensitive to variations in the underlying surface conditions, local mesoscale weather, and synoptic weather patterns. High-resolution numerical weather prediction (NWP) models offer an alternative to observation to determine boundary layer (BL) structure and to assess the spatial variability of radar ducts. The benefit of using NWP models for simulating ducting conditions very much depends on the initial state of sea surface temperature (SST) and the model spinup time, both of which have a great impact on BL structure. This study investigates the effects of variation of NWP-model initial conditions and simulation length on the accuracy of simulating the atmosphere’s refractive index over the Wallops Island, Virginia, region, which has pronounced SST variability and complex BL structure. The Met Office Unified Model (MetUM) with horizontal res...

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Richard M. Forbes

European Centre for Medium-Range Weather Forecasts

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