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Satellite observations of convective storm tops in the 1.6, 3.7 and 3.9 μm spectral bands

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TLDR
In this article, the authors examined the spatial and temporal characteristics of convective storm tops observed in the 1.6, 3.7 or 3.9 am spectral bands and showed that the smallest areas of increased 3. 9 am reflectivity (within or above storm tops) appear and fade on the scale of a few minutes, although larger ones can persist for tens of minutes to several hours.
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This article is published in Atmospheric Research.The article was published on 2003-07-01. It has received 37 citations till now. The article focuses on the topics: Convective storm detection & Cloud top.

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Citations
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Journal ArticleDOI

Hail observations and hailstorm characteristics in Europe: A review

TL;DR: A comprehensive overview and review of the present state of knowledge on hail hazard and hail frequency over recent decades up to centuries across Europe can be found in this paper, where the authors attempted to summarize and synthesize the various prevailing studies with the objective to identify regions that are most prone to hail hazard.
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The Chisholm firestorm: observed microstructure, precipitation and lightning activity of a pyro-cumulonimbus

TL;DR: In this paper, a pyro-cumulonimbus (pyro-Cb) had overshooting tops of 2.5-3 km above the tropopause, and injected massive amounts of smoke into the lower stratosphere.
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PERSIANN-MSA: A Precipitation Estimation Method from Satellite-Based Multispectral Analysis

TL;DR: In this article, a method called precipitation estimation from Remotely Sensed information using Artificial Neural Networks-Multispectral Analysis (PERSIANN-MSA) is proposed to evaluate the effect of using multisensor imagery on precipitation estimation.
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Satellite detection of severe convective storms by their retrieved vertical profiles of cloud particle effective radius and thermodynamic phase

TL;DR: In this paper, a new conceptual model that facilitates the inference of the vigor of severe convective storms, producing tornadoes and large hail, by using satellite-retrieved vertical profiles of cloud top temperature (T)particle effective radius (re) relations is presented and tested.
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Probabilistic 0–1-h Convective Initiation Nowcasts that Combine Geostationary Satellite Observations and Numerical Weather Prediction Model Data

TL;DR: Two statistical learning approaches that incorporate numerical weather prediction input within the established GOES-R CI framework to produce probabilistic forecasts are presented: logistic regression (LR) and an artificial-intelligence approach known as random forest (RF).
References
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Book

Characterization of ceramics

TL;DR: This article reviewed the principles of Doppler radar and emphasized the quantitative measurement of meteorological parameters, and illustrated the relation of radar data and images to atmospheric phenomena such as tornadoes, microbursts, waves, turbulence, density currents, hurricanes, and lightning.
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Remote sensing of cloud, aerosol, and water vapor properties from the moderate resolution imaging spectrometer (MODIS)

TL;DR: The authors describe the status ofMODIS-N and its companion instrument MODIS-T (tilt), a tiltable cross-track scanning spectrometer with 32 uniformly spaced channels between 0.410 and 0.875 mu m, used for determining the total precipitable water vapor and atmospheric stability.
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An introduction to meteosat second generation (msg)

TL;DR: The second generation of European geostationary meteorological satellites, Meteosat Second Generation (MSG), is scheduled for launch in summer 2002 as mentioned in this paper, which is spin stabilized and has greatly enhanced capabilities.
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Introducing GOES-I: The First of a New Generation of Geostationary Operational Environmental Satellites

TL;DR: In the spring of 1994, the first of the National Oceanic and Atmospheric Administration's (NOAA's) next generation of geostationary satellites, GOES-I, is scheduled for launch.
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Wide-Area Determination of Cloud Microphysical Properties from NOAA AVHRR Measurements for FIRE and ASTEX Regions

TL;DR: In this paper, a method for satellite remote sensing of cloud optical thickness and effective particle radius has been developed to apply to NOAA AVHRR multispectral radiance data, which can be applied to a broad range of water clouds from semitransparent to thick clouds.
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