Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Anthony J. Illingworth"'
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
Autor:
Fabrizio Stesina, Eric Caubet, Alessandro Battaglia, Paolo Martire, Pavlos Kollias, Anthony J. Illingworth, Laurent Phalippou
The WIVERN (WInd VElocity Radar Nephoscope) mission, soon entering in Phase-0 of the ESA Earth Explorer program, promises to complement Doppler wind lidar by globally observing, for the first time, vertical profiles of winds in cloudy areas. This wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae8c269dd7ffc3dbdf712880863305b5
https://doi.org/10.5194/amt-2021-342
https://doi.org/10.5194/amt-2021-342
Autor:
Simone Kotthaus, Alexander Haefele, Ulrich Löhnert, Ewan O'Connor, Anthony J. Illingworth, Domenico Cimini, P. Martinet, Roland Potthast, Ina Mattis, Martial Haeffelin, Maxime Hervo
Publikováno v:
Bulletin of the American Meteorological Society 100 (2019): 605–619. doi:10.1175/BAMS-D-17-0231.1
info:cnr-pdr/source/autori:Illingworth, A. J.; Cimini, D.; Haefele, A.; Haeffelin, M.; Hervo, M.; Kotthaus, S.; Loehnert, U.; Martinet, P.; Mattis, I; O'Connor, E. J.; Potthast, R./titolo:How Can Existing Ground-Based Profiling Instruments Improve European Weather Forecasts?/doi:10.1175%2FBAMS-D-17-0231.1/rivista:Bulletin of the American Meteorological Society/anno:2019/pagina_da:605/pagina_a:619/intervallo_pagine:605–619/volume:100
info:cnr-pdr/source/autori:Illingworth, A. J.; Cimini, D.; Haefele, A.; Haeffelin, M.; Hervo, M.; Kotthaus, S.; Loehnert, U.; Martinet, P.; Mattis, I; O'Connor, E. J.; Potthast, R./titolo:How Can Existing Ground-Based Profiling Instruments Improve European Weather Forecasts?/doi:10.1175%2FBAMS-D-17-0231.1/rivista:Bulletin of the American Meteorological Society/anno:2019/pagina_da:605/pagina_a:619/intervallo_pagine:605–619/volume:100
Observations of profiles of winds, aerosol, clouds, winds, temperature and humidity in the lowest few km of the atmosphere from networks of ceilometers, Doppler wind lidars and microwave radiometers are starting to flow in real time to forecasting ce
Publikováno v:
2020 IEEE Radar Conference (RadarConf20).
The main objective of the proposed WIVERN mission is to provide global line-of-sight in-cloud winds in real time that can be assimilated into numerical weather prediction (NWP) models to improve weather forecasts. This will be achieved by a conically
Autor:
Lee Hawkness-Smith, Ross N. Bannister, Sarah L. Dance, Nawal Husnoo, David L. A. Flack, Peter Clark, Andrew Oxley, Ian Roulstone, Suzanne L. Gray, Graeme Kelly, Anthony J. Illingworth, Nigel Roberts, Susan P. Ballard, Nancy Nichols, Robert S. Plant, Hannah Cloke, Robert J. Thompson, Dingmin Li, Timothy Darlington, Joanne A. Waller, David Simonin, Humphrey Lean, John Nicol
Publikováno v:
Atmosphere
Atmosphere, MDPI 2019, 10 (3), pp.125. ⟨10.3390/atmos10030125⟩
Atmosphere, Vol 10, Iss 3, p 125 (2019)
Atmosphere, MDPI 2019, 10 (3), pp.125. ⟨10.3390/atmos10030125⟩
Atmosphere, Vol 10, Iss 3, p 125 (2019)
International audience; 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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9bda601662ff7e953e88085810c7512
https://hal.sorbonne-universite.fr/hal-02125487
https://hal.sorbonne-universite.fr/hal-02125487
Publikováno v:
Journal of Applied Meteorology and Climatology. 55:1615-1632
The copolar correlation coefficient ρhv has many applications, including hydrometeor classification, ground clutter and melting-layer identification, interpretation of ice microphysics, and the retrieval of raindrop size distributions (DSDs). Howeve
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 141:2956-2971
The most damaging winds in a severe extratropical cyclone often occur just ahead of the evaporating ends of cloud filaments emanating from the so-called cloud head. These winds are associated with low-level jets (LLJs), sometimes occurring just above
A major source of errors in radar-derived quantitative precipitation estimates is the inhomogeneous nature of the vertical reflectivity profile (VPR). Operational radars generally scan in azimuth at constant elevation (PPI mode) and provide limited V
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71a7d99ba0efe05781dc652ae76b0a4d
https://centaur.reading.ac.uk/73691/1/jamc-d-17-0014.1.pdf
https://centaur.reading.ac.uk/73691/1/jamc-d-17-0014.1.pdf
Autor:
Alessandro Battaglia, Anthony J. Illingworth, Franco Fois, Rolv Midthassel, Mengistu Wolde, Leo Pio D'Adderio, Cuong Nguyen
This paper presents the results of a recent flight campaign conducted over the Great Lakes region and reports the first observations of the W-band normalized backscattered cross section ( $\sigma _{0}$ ) for V and H polarization and the linear depola
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::562595675858a6a81ae3878cf3ab7ab1
https://doi.org/10.1109/tgrs.2017.2682423
https://doi.org/10.1109/tgrs.2017.2682423
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 140:1209-1218
Refractivity changes (ΔN) derived from radar ground clutter returns serve as a proxy for near-surface humidity changes (1 N unit ≡ 1% relative humidity at 20 °C). Previous studies have indicated that better humidity observations should improve fo