Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Brian C. Ancell"'
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
The occurrence of flash droughts has attracted widespread attention due to their rapid onset. Here, the authors find that the joint influence of soil moisture depletion and atmospheric aridity further accelerates the rapid onset of flash droughts.
Externí odkaz:
https://doaj.org/article/56e7519a09cc46dbb68ed85d2b3f9d6f
Autor:
Matthew J. Lauridsen, Brian C. Ancell
Publikováno v:
Advances in Meteorology, Vol 2018 (2018)
Local effects of inadvertent weather changes within and near wind farms have been well documented by a number of modeling studies and observational campaigns; however, the broader nonlocal atmospheric effects of wind farms are much less clear. The go
Externí odkaz:
https://doaj.org/article/5d55c8ec72c34546afbcaa4735d513e5
Autor:
Brian C. Ancell, Gregory J. Hakim
Publikováno v:
Meteorologische Zeitschrift, Vol 16, Iss 6, Pp 635-642 (2007)
Two general methods, adjoint or singular vector methods, and ensemble-based methods, have been previously investigated to identify locations where observations would have a significant positive impact on a numerical weather model forecast. In this pa
Externí odkaz:
https://doaj.org/article/b3871f55d1904e00b4d6cdb9ad86e575
Autor:
Russell P. Manser, Brian C. Ancell
Publikováno v:
Monthly Weather Review. 151:689-715
Convection-allowing model (CAM) ensemble forecasts provide quantitative probabilistic guidance of convective hazards that forecasters would otherwise qualitatively assess. Various initial condition (IC) strategies can be used to generate CAM probabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96b3e1ca1b1218828960dbe3d365d1a3
https://doi.org/10.1175/mwr-d-21-0269.1
https://doi.org/10.1175/mwr-d-21-0269.1
Autor:
Brian C. Ancell, Austin A. Coleman
Publikováno v:
Bulletin of the American Meteorological Society. 103:E511-E530
Ensemble sensitivity analysis (ESA) is a statistical technique applied within an ensemble to reveal the atmospheric flow features that relate to a chosen aspect of the flow. Given its ease of use (it is simply a linear regression between a chosen fun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bf45221c08f262b5b83223469e45cc2
https://doi.org/10.1175/bams-d-20-0321.1
https://doi.org/10.1175/bams-d-20-0321.1
Autor:
Brian C. Ancell, Austin A. Coleman
Publikováno v:
Monthly Weather Review. 148:4995-5014
Ensemble sensitivity analysis (ESA) is a useful and computationally inexpensive tool for analyzing how features in the flow at early forecast times affect different relevant forecast features later in the forecast. Given the frequency of observations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cdc7cd239706a912b5d67d5043ea63b
https://doi.org/10.1175/mwr-d-20-0043.1
https://doi.org/10.1175/mwr-d-20-0043.1
Publikováno v:
Monthly Weather Review. 148:4497-4517
Ensemble sensitivity analysis (ESA) is applied to select types of observations, in various locations and in advance of forecast convection, to systematically evaluate the effectiveness of ESA-based observation targeting for 10 convection forecasts. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00325d0316d7283e859e0e8dce3a65bb
https://doi.org/10.1175/mwr-d-20-0015.1
https://doi.org/10.1175/mwr-d-20-0015.1
Publikováno v:
Weather and Forecasting. 35:129-147
The wind energy industry needs accurate forecasts of wind speeds at turbine hub height and in the rotor layer to accurately predict power output from a wind farm. Current numerical weather prediction (NWP) models struggle to accurately predict low-le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed813a908350dcf3d48e7820393bfd9a
https://doi.org/10.1175/waf-d-18-0186.1
https://doi.org/10.1175/waf-d-18-0186.1
Autor:
Nicholas H. Smith, Brian C. Ancell
Publikováno v:
Monthly Weather Review. 147:4633-4651
This work investigates the sensitivity of wind speed forecasts during wind ramp events to parameters within a numerical weather prediction model boundary layer physics scheme. In a novel way, it explores how these sensitivities vary across 1) ensembl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46092ad0fdc4daf0f540393f179f6c62
https://doi.org/10.1175/mwr-d-19-0019.1
https://doi.org/10.1175/mwr-d-19-0019.1
Autor:
Brian C. Ancell, C. J. Nauert
Publikováno v:
Journal of Geophysical Research: Atmospheres. 124:7852-7867
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7421a5e1c09b6cddb78380ea796e438f
https://doi.org/10.1029/2018jd029043
https://doi.org/10.1029/2018jd029043