Emission Impacts on Aerosol-Climate Feedbacks

A special issue of Climate (ISSN 2225-1154).

Deadline for manuscript submissions: closed (31 May 2014) | Viewed by 15006

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Department of Atmospheric Sciences, University of Alaska, Fairbanks, AK 99775, USA
Interests: human and natural impacts on weather, air quality and climate; land-cover/use impacts on cloud and precipitation formation; pollution in remote locations, wind energy; evaluation of air-quality model results
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Dear Colleagues,

Emissions from anthropogenic and natural sources alter the composition of the atmosphere and hence its radiative properties. In addition, emitted particulate matter and gas-to-particle conversion may provide cloud condensation nuclei that affect cloud and precipitation formation. The main objective of this special issue is to discuss how past, current and future changes in emissions at various scales affect climate in the regions of the emissions themselves as well as in their downwind.

Prof. Dr. Dr. Nicole Mölders
Editor-in-Chief

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Keywords

  • natural and anthropogenic emission
  • cloud-aerosol feedback
  • cloud and precipitation formation
  • water and energy cycle
  • air quality trends
  • advection of polluted air mass
  • short- and long-term urban, rural and natural pollution impacts on climate
  • primary and secondary pollution trends

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Published Papers (2 papers)

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4947 KiB  
Article
Satellite-Detected Carbon Monoxide Pollution during 2000–2012: Examining Global Trends and also Regional Anthropogenic Periods over China, the EU and the USA
by Benjamin A. Laken and Tariq Shahbaz
Climate 2014, 2(1), 1-16; https://doi.org/10.3390/cli2010001 - 13 Feb 2014
Cited by 4 | Viewed by 6117
Abstract
In this paper, we test if any statistically significant periodicities are detectable in carbon monoxide emissions over China, the European Union, and the United States of America. To do this, we performed a period analysis using 10 years of daily-averaged data, from the [...] Read more.
In this paper, we test if any statistically significant periodicities are detectable in carbon monoxide emissions over China, the European Union, and the United States of America. To do this, we performed a period analysis using 10 years of daily-averaged data, from the Measurements Of Pollution In The Troposphere (MOPITT) instrument. Besides a seasonal period, we found no clearly detectable periods at any timescale with the exception of a strong signal at 2.28 days. This period was observed over all tested regions and persisted when larger (hemisphere-wide) regions were considered. However, rather than resulting from a physical variation in carbon monoxide, it resulted from day-to-day changes in the area covered by MOPITT on-board its polar-orbiting satellite platform. We also examined linear trends over the dataset, and found that MOPITT identifies several centers of increasing carbon monoxide concentration—the largest being over China—although globally MOPITT reports a significant decrease in carbon monoxide has occurred over the past decade. Full article
(This article belongs to the Special Issue Emission Impacts on Aerosol-Climate Feedbacks)
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7036 KiB  
Article
Exploring Aerosol Effects on Rainfall for Brisbane, Australia
by Michael Hewson, Hamish McGowan, Stuart Phinn, Steven Peckham and Georg Grell
Climate 2013, 1(3), 120-147; https://doi.org/10.3390/cli1030120 - 28 Oct 2013
Cited by 4 | Viewed by 7960
Abstract
The majority of studies assessing aerosol effects on rainfall use coarse spatial scale (1° latitude/longitude or more) and multi-seasonal or decadal data sets. Here, we present results from a spatial correlation of aerosol size distribution and rain rate for selected stratiform and cumuliform [...] Read more.
The majority of studies assessing aerosol effects on rainfall use coarse spatial scale (1° latitude/longitude or more) and multi-seasonal or decadal data sets. Here, we present results from a spatial correlation of aerosol size distribution and rain rate for selected stratiform and cumuliform precipitation events. The chemistry transport version of the Weather Research and Forecasting model was used to estimate aerosol parameters during rain events Aerosol maps were then compared with observations of rainfall using geostatistics for the first time. The cross-variogram analysis showed that anthropogenic aerosol was associated with areas of less intense rain within the stratiform system studied. For cumuliform systems, cross-variogram analysis found that anthropogenic emissions may be associated with enhanced rain downwind of aerosol emissions. We conclude that geostatistics provides a promising new technique to investigate relationships between aerosols and rainfall at spatial scales of 1 km which complements more commonly used methods to study aerosol effects on rainfall. Full article
(This article belongs to the Special Issue Emission Impacts on Aerosol-Climate Feedbacks)
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