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Atmosphere, Volume 10, Issue 5

May 2019 - 65 articles

Cover Story: Machine learning methods offer solutions for many classification problems. They provide a straightforward solution to classifying rain based on its microstructure, given that a training dataset is available. Five machine learning classification methods were built using a different number of rain microstructure parameters. Four parameters were enough to achieve high classification performance. The performance significantly exceeded that of simple dual parameter classification methods that are based on other disdrometer types. The methodology is expected to achieve high performance regardless of the type of the disdrometer. However, this is governed by the quality of the training dataset. View this paper.
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Articles (65)

  • Article
  • Open Access
28 Citations
5,168 Views
18 Pages

Sources and Temporal Variations of Coarse Particulate Matter (PM) in Central Tehran, Iran

  • Ehsan Soleimanian,
  • Sina Taghvaee,
  • Amirhosein Mousavi,
  • Mohammad H. Sowlat,
  • Mohammad Sadegh Hassanvand,
  • Masud Yunesian,
  • Kazem Naddafi and
  • Constantinos Sioutas

In this study, we used the positive matrix factorization (PMF) model to evaluate the sources of ambient coarse particulate matter (PM) and their temporal variations in two sampling sites, i.e., a school dormitory and a retirement home, located in cen...

  • Article
  • Open Access
4 Citations
4,590 Views
19 Pages

The hydroclimatology of the southeastern U.S. is changing, with increased precipitation, intensified summer-to-fall rainfall, and prolonged dry periods. However, research has yet to determine whether these trends are present in the southern Appalachi...

  • Article
  • Open Access
41 Citations
6,723 Views
17 Pages

In-Home Emissions Performance of Cookstoves in Asia and Africa

  • Michael A. Johnson,
  • Charity R. Garland,
  • Kirstie Jagoe,
  • Rufus Edwards,
  • Joseph Ndemere,
  • Cheryl Weyant,
  • Ashwin Patel,
  • Jacob Kithinji,
  • Emmy Wasirwa and
  • Tuan Nguyen
  • + 9 authors

This paper presents results from eight field studies in Asia and Africa on the emissions performance of 16 stove/fuel combinations measured during normal cooking events in homes. Characterizing real-world emissions performance is important for unders...

  • Article
  • Open Access
21 Citations
5,582 Views
22 Pages

Review of Sunset OC/EC Instrument Measurements During the EPA’s Sunset Carbon Evaluation Project

  • Steven Brown,
  • Hilary Minor,
  • Theresa O’Brien,
  • Yousaf Hameed,
  • Brandon Feenstra,
  • Dustin Kuebler,
  • Will Wetherell,
  • Robert Day,
  • Richard Tun and
  • Elizabeth Landis
  • + 1 author

To evaluate the feasibility of the Sunset semicontinuous organic and elemental carbon (OC/EC) monitor, the U.S. Environmental Protection Agency (EPA) sponsored the deployment of this monitor at Chemical Speciation Network (CSN) sites with OC and EC m...

  • Article
  • Open Access
44 Citations
10,305 Views
21 Pages

Heat Waves and Human Well-Being in Madrid (Spain)

  • Domingo Rasilla,
  • Fernando Allende,
  • Alberto Martilli and
  • Felipe Fernández

Heat waves pose additional risks to urban spaces because of the additional heat provided by urban heat islands (UHIs) as well as poorer air quality. Our study focuses on the analysis of UHIs, human thermal comfort, and air quality for the city of Mad...

  • Article
  • Open Access
4 Citations
3,727 Views
17 Pages

Impacts of Green Vegetation Fraction Derivation Methods on Regional Climate Simulations

  • Jose Manuel Jiménez-Gutiérrez,
  • Francisco Valero,
  • Sonia Jerez and
  • Juan Pedro Montávez

The representation of vegetation in land surface models (LSM) is crucial for modeling atmospheric processes in regional climate models (RCMs). Vegetation is characterized by the green fractional vegetation cover (FVC) and/or the leaf area index (LAI)...

  • Article
  • Open Access
50 Citations
19,942 Views
18 Pages

Urban heat is a growing environmental concern in cities around the world. The urban heat island effect, combined with warming effects of climate change, is likely to cause an increase in the frequency and intensity of extreme heat events. Alterations...

  • Article
  • Open Access
3 Citations
4,365 Views
19 Pages

Long-term atmospheric changes are a result of complex interactions on various spatial scales. In this study, we examine the long-term variability of the most important meteorological variables in a convection-permitting regional climate model simulat...

  • Article
  • Open Access
18 Citations
4,746 Views
15 Pages

Characterization and Spatial Coverage of Heat Waves in Subtropical Brazil

  • Nicolle Cordero Simões dos Reis,
  • Nathalie Tissot Boiaski and
  • Simone Erotildes Teleginski Ferraz

Given the increase in the frequency, intensity, and persistence of heat waves since the 1970s, and in view of the impacts that extreme temperatures may cause for society and the economy, this study aims to characterize heat waves in the subtropical r...

  • Article
  • Open Access
1 Citations
3,499 Views
15 Pages

To improve the skills of the regional ensemble forecast system (REFS), a modified ensemble transform Kalman filter (ETKF) initial perturbation strategy was developed. First, sensitivity tests were conducted to investigate the influence of the perturb...

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Atmosphere - ISSN 2073-4433