Impacts of Aerosol Particle Size Distribution and Land Cover Land Use on Precipitation in a Coastal Urban Environment Using a Cloud-Resolving Mesoscale Model
Urban environments influence precipitation formation via response to dynamic effects, while aerosols are intrinsically necessary for rainfall formation; however, the partial contributions of each on urban coastal precipitation are not yet known. Here, the authors use aerosol particle size distributi...
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ftdoajarticles:oai:doaj.org/article:f5bbcf0944dc4cb9a00ec1d6696d5b17 2023-05-15T13:06:14+02:00 Impacts of Aerosol Particle Size Distribution and Land Cover Land Use on Precipitation in a Coastal Urban Environment Using a Cloud-Resolving Mesoscale Model Nathan Hosannah Jorge E. Gonzalez 2014-01-01T00:00:00Z https://doi.org/10.1155/2014/904571 https://doaj.org/article/f5bbcf0944dc4cb9a00ec1d6696d5b17 EN eng Hindawi Limited http://dx.doi.org/10.1155/2014/904571 https://doaj.org/toc/1687-9309 https://doaj.org/toc/1687-9317 1687-9309 1687-9317 doi:10.1155/2014/904571 https://doaj.org/article/f5bbcf0944dc4cb9a00ec1d6696d5b17 Advances in Meteorology, Vol 2014 (2014) Meteorology. Climatology QC851-999 article 2014 ftdoajarticles https://doi.org/10.1155/2014/904571 2022-12-31T05:19:17Z Urban environments influence precipitation formation via response to dynamic effects, while aerosols are intrinsically necessary for rainfall formation; however, the partial contributions of each on urban coastal precipitation are not yet known. Here, the authors use aerosol particle size distributions derived from the NASA aerosol robotic network (AERONET) to estimate submicron cloud condensation nuclei (CCN) and supermicron CCN (GCCN) for ingestion in the regional atmospheric modeling system (RAMS). High resolution land data from the National Land Cover Database (NLCD) were assimilated into RAMS to provide modern land cover and land use (LCLU). The first two of eight total simulations were month long runs for July 2007, one with constant PSD values and the second with AERONET PSDs updated at times consistent with observations. The third and fourth runs mirrored the first two simulations for “No City” LCLU. Four more runs addressed a one-day precipitation event under City and No City LCLU, and two different PSD conditions. Results suggest that LCLU provides the dominant forcing for urban precipitation, affecting precipitation rates, rainfall amounts, and spatial precipitation patterns. PSD then acts to modify cloud physics. Also, precipitation forecasting was significantly improved under observed PSD and current LCLU conditions. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Advances in Meteorology 2014 1 17 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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language |
English |
topic |
Meteorology. Climatology QC851-999 |
spellingShingle |
Meteorology. Climatology QC851-999 Nathan Hosannah Jorge E. Gonzalez Impacts of Aerosol Particle Size Distribution and Land Cover Land Use on Precipitation in a Coastal Urban Environment Using a Cloud-Resolving Mesoscale Model |
topic_facet |
Meteorology. Climatology QC851-999 |
description |
Urban environments influence precipitation formation via response to dynamic effects, while aerosols are intrinsically necessary for rainfall formation; however, the partial contributions of each on urban coastal precipitation are not yet known. Here, the authors use aerosol particle size distributions derived from the NASA aerosol robotic network (AERONET) to estimate submicron cloud condensation nuclei (CCN) and supermicron CCN (GCCN) for ingestion in the regional atmospheric modeling system (RAMS). High resolution land data from the National Land Cover Database (NLCD) were assimilated into RAMS to provide modern land cover and land use (LCLU). The first two of eight total simulations were month long runs for July 2007, one with constant PSD values and the second with AERONET PSDs updated at times consistent with observations. The third and fourth runs mirrored the first two simulations for “No City” LCLU. Four more runs addressed a one-day precipitation event under City and No City LCLU, and two different PSD conditions. Results suggest that LCLU provides the dominant forcing for urban precipitation, affecting precipitation rates, rainfall amounts, and spatial precipitation patterns. PSD then acts to modify cloud physics. Also, precipitation forecasting was significantly improved under observed PSD and current LCLU conditions. |
format |
Article in Journal/Newspaper |
author |
Nathan Hosannah Jorge E. Gonzalez |
author_facet |
Nathan Hosannah Jorge E. Gonzalez |
author_sort |
Nathan Hosannah |
title |
Impacts of Aerosol Particle Size Distribution and Land Cover Land Use on Precipitation in a Coastal Urban Environment Using a Cloud-Resolving Mesoscale Model |
title_short |
Impacts of Aerosol Particle Size Distribution and Land Cover Land Use on Precipitation in a Coastal Urban Environment Using a Cloud-Resolving Mesoscale Model |
title_full |
Impacts of Aerosol Particle Size Distribution and Land Cover Land Use on Precipitation in a Coastal Urban Environment Using a Cloud-Resolving Mesoscale Model |
title_fullStr |
Impacts of Aerosol Particle Size Distribution and Land Cover Land Use on Precipitation in a Coastal Urban Environment Using a Cloud-Resolving Mesoscale Model |
title_full_unstemmed |
Impacts of Aerosol Particle Size Distribution and Land Cover Land Use on Precipitation in a Coastal Urban Environment Using a Cloud-Resolving Mesoscale Model |
title_sort |
impacts of aerosol particle size distribution and land cover land use on precipitation in a coastal urban environment using a cloud-resolving mesoscale model |
publisher |
Hindawi Limited |
publishDate |
2014 |
url |
https://doi.org/10.1155/2014/904571 https://doaj.org/article/f5bbcf0944dc4cb9a00ec1d6696d5b17 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Advances in Meteorology, Vol 2014 (2014) |
op_relation |
http://dx.doi.org/10.1155/2014/904571 https://doaj.org/toc/1687-9309 https://doaj.org/toc/1687-9317 1687-9309 1687-9317 doi:10.1155/2014/904571 https://doaj.org/article/f5bbcf0944dc4cb9a00ec1d6696d5b17 |
op_doi |
https://doi.org/10.1155/2014/904571 |
container_title |
Advances in Meteorology |
container_volume |
2014 |
container_start_page |
1 |
op_container_end_page |
17 |
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1765997513009004544 |