Publications
2016
Polly, James B; Rossow, William B
Cloud radiative effects and precipitation in extratropical cyclones Journal Article
In: J. Clim., vol. 29, no. 18, pp. 6483–6507, 2016.
Abstract | Links | BibTeX | Tags: CLOUD PROPERTIES, midlatitude storms
@article{Polly2016-mr,
title = {Cloud radiative effects and precipitation in extratropical cyclones},
author = {James B Polly and William B Rossow},
url = {https://www.williambrossow.com/wp-content/uploads/2022/03/15200442-Journal-of-Climate-Cloud-Radiative-Effects-and-Precipitation-in-Extratropical-Cyclones.pdf, Download file},
doi = {10.1175/jcli-d-15-0857.1},
year = {2016},
date = {2016-09-01},
urldate = {2016-09-01},
journal = {J. Clim.},
volume = {29},
number = {18},
pages = {6483--6507},
publisher = {\"{A}merican Meteorological Society},
abstract = {\"{A}bstract Clouds associated with extratropical cyclones
complicate the well-developed theory of dry baroclinic waves
through feedback on their dynamics by precipitation and
cloud-altered radiative heating. The relationships between
cyclone characteristics and the diabatic heating associated with
cloud radiative effects (CREs) and latent heat release remain
unclear. A cyclone tracking algorithm [NASA's Modeling,
Analysis, and Prediction (MAP) Climatology of Midlatitude
Storminess (MCMS)] is used to identify over 106 cyclones in 33
years of the ERA-Interim and collect the properties of each
disturbance. Considering storm intensity as related to wind
speeds, which depend on the pressure gradient, the distribution
of cyclone properties is investigated using groups defined by
their depth (local pressure anomaly) and the radius of the
region within closed pressure contours to investigate variations
with longitude (especially ocean and land), hemisphere, and
season. Using global data products of cloud radiative effects on
in-atmosphere net radiation [the ISCCP radiative flux profile
dataset (ISCCP-FD)] and precipitation (GPCP), composites are
assembled for each cyclone group and for ``nonstormy''
locations. On average, the precipitation rate and the CRE are
approximately the same among all cyclone groups and do not
strongly differ from nonstormy conditions. The variance of both
precipitation and CRE increases with cyclone size and depth. In
larger, deeper storms, maximum precipitation and CRE increase,
but so do the amounts of nonprecipitating and clear-sky
conditions."},
keywords = {CLOUD PROPERTIES, midlatitude storms},
pubstate = {published},
tppubtype = {article}
}
Äbstract Clouds associated with extratropical cyclones
complicate the well-developed theory of dry baroclinic waves
through feedback on their dynamics by precipitation and
cloud-altered radiative heating. The relationships between
cyclone characteristics and the diabatic heating associated with
cloud radiative effects (CREs) and latent heat release remain
unclear. A cyclone tracking algorithm [NASA's Modeling,
Analysis, and Prediction (MAP) Climatology of Midlatitude
Storminess (MCMS)] is used to identify over 106 cyclones in 33
years of the ERA-Interim and collect the properties of each
disturbance. Considering storm intensity as related to wind
speeds, which depend on the pressure gradient, the distribution
of cyclone properties is investigated using groups defined by
their depth (local pressure anomaly) and the radius of the
region within closed pressure contours to investigate variations
with longitude (especially ocean and land), hemisphere, and
season. Using global data products of cloud radiative effects on
in-atmosphere net radiation [the ISCCP radiative flux profile
dataset (ISCCP-FD)] and precipitation (GPCP), composites are
assembled for each cyclone group and for ``nonstormy''
locations. On average, the precipitation rate and the CRE are
approximately the same among all cyclone groups and do not
strongly differ from nonstormy conditions. The variance of both
precipitation and CRE increases with cyclone size and depth. In
larger, deeper storms, maximum precipitation and CRE increase,
but so do the amounts of nonprecipitating and clear-sky
conditions."
complicate the well-developed theory of dry baroclinic waves
through feedback on their dynamics by precipitation and
cloud-altered radiative heating. The relationships between
cyclone characteristics and the diabatic heating associated with
cloud radiative effects (CREs) and latent heat release remain
unclear. A cyclone tracking algorithm [NASA's Modeling,
Analysis, and Prediction (MAP) Climatology of Midlatitude
Storminess (MCMS)] is used to identify over 106 cyclones in 33
years of the ERA-Interim and collect the properties of each
disturbance. Considering storm intensity as related to wind
speeds, which depend on the pressure gradient, the distribution
of cyclone properties is investigated using groups defined by
their depth (local pressure anomaly) and the radius of the
region within closed pressure contours to investigate variations
with longitude (especially ocean and land), hemisphere, and
season. Using global data products of cloud radiative effects on
in-atmosphere net radiation [the ISCCP radiative flux profile
dataset (ISCCP-FD)] and precipitation (GPCP), composites are
assembled for each cyclone group and for ``nonstormy''
locations. On average, the precipitation rate and the CRE are
approximately the same among all cyclone groups and do not
strongly differ from nonstormy conditions. The variance of both
precipitation and CRE increases with cyclone size and depth. In
larger, deeper storms, maximum precipitation and CRE increase,
but so do the amounts of nonprecipitating and clear-sky
conditions."
2006
Tselioudis, G.; Rossow, W. B.
Climate feedback implied by observed radiation and precipitation changes with midlatitude storm strength and frequency Journal Article
In: Geophys. Res. Lett., vol. 33, pp. L02704, 2006.
Links | BibTeX | Tags: ENERGETICS, FEEDBACKS, midlatitude storms
@article{ts01100t,
title = {Climate feedback implied by observed radiation and precipitation changes with midlatitude storm strength and frequency},
author = {G. Tselioudis and W. B. Rossow},
url = {https://www.williambrossow.com/wp-content/uploads/2022/05/2006_Tselioudis_ts01100t.pdf, Download file},
doi = {10.1029/2005GL024513},
year = {2006},
date = {2006-01-01},
urldate = {2006-01-01},
journal = {Geophys. Res. Lett.},
volume = {33},
pages = {L02704},
keywords = {ENERGETICS, FEEDBACKS, midlatitude storms},
pubstate = {published},
tppubtype = {article}
}
