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    CFSv2 Monthly Forecasts of Tornado and Hail Activity

    Source: Weather and Forecasting:;2018:;volume 033:;issue 005::page 1283
    Author:
    Lepore, Chiara
    ,
    Tippett, Michael K.
    ,
    Allen, John T.
    DOI: 10.1175/WAF-D-18-0054.1
    Publisher: American Meteorological Society
    Abstract: AbstractClimate Forecast System, version 2, predictions of monthly U.S. severe thunderstorm activity are analyzed for the period 1982?2016. Forecasts are based on a tornado environmental index and a hail environmental index, which are functions of monthly averaged storm relative helicity (SRH), convective precipitation (cPrcp), and convective available potential energy (CAPE). Overall, forecast indices reproduce well the annual cycle of tornado and hail events. Forecast index biases are mostly negative and caused by environment values that are low east of the Rockies, although forecast CAPE is higher than the reanalysis values over the High Plains. Skill is diagnosed spatially for the indices and their constituents separately. SRH is more skillfully forecast than cPrcp and CAPE, especially during December?June. The spatial patterns of forecast skill for CAPE and cPrcp are similar, with higher skill for CAPE and less spatial coherence for cPrcp. The indices are forecast with substantially less skill than the environmental parameters. Numbers of tornado and hail events are forecast with modest but statistically significant skill in some NOAA regions and months of the year. Skill tends to be relatively higher for hail events and in climatologically active seasons and regions. Much of the monthly skill appears to be derived from the first 2 weeks of the forecast. El Niño?Southern Oscillation (ENSO) modulates forecasts and, to a lesser extent, forecast skill, during March?May, with more activity and higher skill during cool ENSO conditions.
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      CFSv2 Monthly Forecasts of Tornado and Hail Activity

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    contributor authorLepore, Chiara
    contributor authorTippett, Michael K.
    contributor authorAllen, John T.
    date accessioned2019-09-19T10:05:37Z
    date available2019-09-19T10:05:37Z
    date copyright8/24/2018 12:00:00 AM
    date issued2018
    identifier otherwaf-d-18-0054.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261439
    description abstractAbstractClimate Forecast System, version 2, predictions of monthly U.S. severe thunderstorm activity are analyzed for the period 1982?2016. Forecasts are based on a tornado environmental index and a hail environmental index, which are functions of monthly averaged storm relative helicity (SRH), convective precipitation (cPrcp), and convective available potential energy (CAPE). Overall, forecast indices reproduce well the annual cycle of tornado and hail events. Forecast index biases are mostly negative and caused by environment values that are low east of the Rockies, although forecast CAPE is higher than the reanalysis values over the High Plains. Skill is diagnosed spatially for the indices and their constituents separately. SRH is more skillfully forecast than cPrcp and CAPE, especially during December?June. The spatial patterns of forecast skill for CAPE and cPrcp are similar, with higher skill for CAPE and less spatial coherence for cPrcp. The indices are forecast with substantially less skill than the environmental parameters. Numbers of tornado and hail events are forecast with modest but statistically significant skill in some NOAA regions and months of the year. Skill tends to be relatively higher for hail events and in climatologically active seasons and regions. Much of the monthly skill appears to be derived from the first 2 weeks of the forecast. El Niño?Southern Oscillation (ENSO) modulates forecasts and, to a lesser extent, forecast skill, during March?May, with more activity and higher skill during cool ENSO conditions.
    publisherAmerican Meteorological Society
    titleCFSv2 Monthly Forecasts of Tornado and Hail Activity
    typeJournal Paper
    journal volume33
    journal issue5
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-18-0054.1
    journal fristpage1283
    journal lastpage1297
    treeWeather and Forecasting:;2018:;volume 033:;issue 005
    contenttypeFulltext
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