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Journal articles on the topic 'Environmental meteorology'

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1

Benarie, Michel. "Environmental meteorology." Science of The Total Environment 79, no. 1 (1989): 97. http://dx.doi.org/10.1016/0048-9697(89)90059-4.

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2

Turner, Dawn. "Work experience in meteorology and environmental physics." Weather 70 (September 2015): S31. http://dx.doi.org/10.1002/wea.2555.

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3

García, M. Ángeles, and Isidro A. Pérez. "Lower Atmosphere Meteorology." Atmosphere 10, no. 10 (2019): 609. http://dx.doi.org/10.3390/atmos10100609.

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The Atmosphere Special Issue “Lower Atmosphere Meteorology” comprises thirteen original papers dealing with different meteorological processes that occur in the layer of the atmosphere close to the surface and which can greatly affect living beings and materials [...]
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4

Holstein-Rathlou, C., J. Merrison, J. J. Iversen, et al. "An Environmental Wind Tunnel Facility for Testing Meteorological Sensor Systems." Journal of Atmospheric and Oceanic Technology 31, no. 2 (2014): 447–57. http://dx.doi.org/10.1175/jtech-d-13-00141.1.

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Abstract Reliable and accurate environmental sensing is a cornerstone of modern meteorology. This paper presents a laboratory environmental simulator capable of reproducing extreme environments and performing tests and calibrations of meteorological sensor systems under controlled conditions. This facility is available to the research community as well as industry and is intended to encourage advancement in the field of sensor metrology applied to meteorology and climatology. Discussion will be made of the temperature, pressure, humidity and wind flow control, and sensing systems with reference to specific sensor test programs and future research activities.
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5

Beniston, Martin. "Mountain Meteorology: Fundamentals and Applications." Mountain Research and Development 21, no. 1 (2001): 95–96. http://dx.doi.org/10.1659/0276-4741(2001)021[0095:mmfaa]2.0.co;2.

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6

Eugster, Werner. "Mountain Meteorology: Fundamentals and Applications." Mountain Research and Development 21, no. 2 (2001): 200–201. http://dx.doi.org/10.1659/0276-4741(2001)021[0200:mmfaa]2.0.co;2.

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7

Gong, Sunling, Hongli Liu, Bihui Zhang, et al. "Assessment of meteorology vs. control measures in the China fine particular matter trend from 2013 to 2019 by an environmental meteorology index." Atmospheric Chemistry and Physics 21, no. 4 (2021): 2999–3013. http://dx.doi.org/10.5194/acp-21-2999-2021.

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Abstract. A framework was developed to quantitatively assess the contribution of meteorology variations to the trend of fine particular matter (PM2.5) concentrations and to separate the impacts of meteorology from the control measures in the trend, based upon the Environmental Meteorology Index (EMI). The model-based EMI realistically reflects the role of meteorology in the trend of PM2.5 and is explicitly attributed to three major factors: deposition, vertical accumulation and horizontal transports. Based on the 2013–2019 PM2.5 observation data and re-analysis meteorological data in China, the contributions of meteorology and control measures in nine regions of China were assessed separately by the EMI-based framework. Monitoring network observations show that the PM2.5 concentrations have declined by about 50 % on the national average and by about 35 % to 53 % for various regions. It is found that the nationwide emission control measures were the dominant factor in the declining trend of China PM2.5 concentrations, contributing about 47 % of the PM2.5 decrease from 2013 to 2019 on the national average and 32 % to 52 % for various regions. The meteorology has a variable and sometimes critical contribution to the year-by-year variations of PM2.5 concentrations, 5 % on the annual average and 10 %–20 % for the fall–winter heavy pollution seasons.
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Liu, Wang, Shen, et al. "Contribution of Meteorological Conditions to the Variation in Winter PM2.5 Concentrations from 2013 to 2019 in Middle-Eastern China." Atmosphere 10, no. 10 (2019): 563. http://dx.doi.org/10.3390/atmos10100563.

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Severe air pollution events accompanied by high PM2.5 concentrations have been repeatedly observed in Middle-Eastern China since 2013 and decreased in recent years. The reason for this caused widespread attention. The month of January was selected to represent the winter season annual changes in the winter PM2.5 and meteorological conditions—including the upper-air meridional circulation index (MCI), winds at 700 and 850 hPa levels and surface meteorology—from 2013 to 2019. These conditions were analyzed to study the contribution of meteorology changing to the annual PM2.5 changing on the regional scale. Results show that, based on values of upper-level MCI, the years 2014, 2015, 2017, and 2019 were defined as meteorology-haze years and the years 2016 and 2018 were defined as meteorology-clean years. A change in meteorological conditions may lead to a 26% change in PM2.5 concentration between 2014 and 2013 (two meteorology-haze years) and 16–20% changes in PM2.5 concentration between meteorology-haze years and meteorology-clean years. Changes in pollutant emissions may cause 21–47% changes in PM2.5 concentration between each two meteorology-haze years. A comparison of two meteorology-clean years and pollutant emissions in 2018 may be reduced by 40% compared with 2016. Overall, changes in emissions had a greater influence on changes in PM2.5 compared with meteorological conditions.
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9

Gupta, Mayank, Tejasvi Chauhan, Raghu Murtugudde, and Subimal Ghosh. "Pollutants control the process networks of urban environmental-meteorology." Environmental Research Letters 16, no. 1 (2020): 014021. http://dx.doi.org/10.1088/1748-9326/abce28.

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10

Guerra, David Victor. "Emphasizing Environmental Concepts and Policies in an Introductory Meteorology Course." Journal of Geoscience Education 47, no. 4 (1999): 362–66. http://dx.doi.org/10.5408/1089-9995-47.4.362.

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11

NILSSON, E. DOUGLAS, and M. KULMALA. "AEROSOL FORMATION AND METEOROLOGY." Journal of Aerosol Science 32 (September 2001): 325–26. http://dx.doi.org/10.1016/s0021-8502(21)00154-3.

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12

Gera, B. S., and S. P. Singal. "Sodar in air pollution meteorology." Atmospheric Environment. Part A. General Topics 24, no. 8 (1990): 2003–9. http://dx.doi.org/10.1016/0960-1686(90)90234-e.

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13

Hansson, Hans-Christen, Peter Tunved, Radovan Krejci, et al. "The Atmospheric Aerosol over Western Greece-Six Years of Aerosol Observations at the Navarino Environmental Observatory." Atmosphere 12, no. 4 (2021): 445. http://dx.doi.org/10.3390/atmos12040445.

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The Eastern Mediterranean is a highly populated area with air quality problems. It is also where climate change is already noticed by higher temperatures and s changing precipitation pattern. The anthropogenic aerosol affects health and changing concentrations and properties of the atmospheric aerosol affect radiation balance and clouds. Continuous long-term observations are essential in assessing the influence of anthropogenic aerosols on climate and health. We present six years of observations from Navarino Environmental Observatory (NEO), a new station located at the south west tip of Peloponnese, Greece. The two sites at NEO, were evaluated to show the influence of the local meteorology and to assess the general background aerosol possible. It was found that the background aerosol was originated from aged European aerosols and was strongly influenced by biomass burning, fossil fuel combustion, and industry. When subsiding into the boundary layer, local sources contributed in the air masses moving south. Mesoscale meteorology determined the diurnal variation of aerosol properties such as mass and number by means of typical sea breeze circulation, giving rise to pronounced morning and evening peaks in pollutant levels. While synoptic scale meteorology, mainly large-scale air mass transport and precipitation, strongly influenced the seasonality of the aerosol properties.
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14

Elminir, Hamdy K. "Dependence of urban air pollutants on meteorology." Science of The Total Environment 350, no. 1-3 (2005): 225–37. http://dx.doi.org/10.1016/j.scitotenv.2005.01.043.

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15

Benarie, Michel. "Applications of meteorology to atmospheric pollution problems." Science of The Total Environment 74 (August 1988): 294. http://dx.doi.org/10.1016/0048-9697(88)90148-9.

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16

Rycroft, M. J. "An Introduction to Dynamic Meteorology." Journal of Atmospheric and Terrestrial Physics 56, no. 4 (1994): 535–36. http://dx.doi.org/10.1016/0021-9169(94)90205-4.

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17

Safronov, Alexander. "Aviation Meteorology at Several Plane Crash Sites." Atmosphere 10, no. 2 (2019): 50. http://dx.doi.org/10.3390/atmos10020050.

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The causes of aircraft crashes were investigated for several accidents, such as the Tu-154 and the Airbus A320-211 crashes near Sochi, Russia; the Airbus A320-232 crash near the Perpignan airport; and the Airbus A310-324 crash during landing in Moroni, Comoros Islands. Failures related to aircraft aerodynamics caused these air catastrophes. Upon encountering an upward vertical front, the airstream over the plane wing was disrupted and, as a result, the aerodynamic lifting force suddenly and dramatically decreased. The critical value of the vertical wind speed in a sea-land front (SLF) was determined to be ~0.5–1.0 m s−1. Some recommendations are proposed to prevent such aircraft accidents near coastal airfields. Forecast predictions of a sea-land breeze w-Front and of MWT (Mountain Wave Turbulence) were performed by regional atmospheric models with a resolution no lower than 2 km. Further, a possible reason for the sudden disappearance of aircraft near the coast of Florida is suggested.
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18

Ignacio García S.J., José. "The Contributions of European Jesuits to Environmental Sciences." Journal of Jesuit Studies 3, no. 4 (2016): 562–76. http://dx.doi.org/10.1163/22141332-00304002.

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Jesuit activity in the fields of the natural sciences manifest in the origins of the Society both as teachers and as missionaries. In particular, entomology, botany, meteorology, and geography attracted the attention of the early Jesuits. Always involved in scientific inquiry, the number of Jesuits today working in these fields has diminished tremendously. During the twentieth century though Jesuits established reputable institutions of agricultural education in both France and Spain. This article discusses the recent development of the discipline of ecology and other Jesuit contributions in the fields of agronomy, energy, economics, and social analysis.
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19

Anfossi, D., P. Bacci, P. Natale, and S. Viarengo. "The meteorology of acid deposition in northern Italy." Science of The Total Environment 55 (November 1986): 329–38. http://dx.doi.org/10.1016/0048-9697(86)90190-7.

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20

Lee, Kyu Jong, Hyungu Kahng, Seoung Bum Kim, and Sun Kyoung Park. "Improving Environmental Sustainability by Characterizing Spatial and Temporal Concentrations of Ozone." Sustainability 10, no. 12 (2018): 4551. http://dx.doi.org/10.3390/su10124551.

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Statistical methods have been widely used to predict pollutant concentrations. However, few efforts have been made to examine spatial and temporal characteristics of ozone in Korea. Ozone monitoring stations are often geographically grouped, and the ozone concentrations are separately predicted for each group. Although geographic information is useful in grouping the monitoring stations, the accuracy of prediction can be improved if the temporal patterns of pollutant concentrations is incorporated into the grouping process. The goal of this research is to cluster the monitoring stations according to the temporal patterns of pollutant concentrations using a k-means clustering algorithm. In addition, this study characterizes the meteorology and various pollutant concentrations linked to high ozone concentrations (>0.08 ppm, 1-h average concentration) based on a decision tree algorithm. The data used include hourly meteorology (temperature, relative humidity, solar insolation, and wind speed) and pollutant concentrations (O3, CO, NOx, SO2, and PM10) monitored at 25 stations in Seoul, Korea between 2005 and 2010. Results demonstrated that 25 stations were grouped into four clusters, and PM10, temperature, and relative humidity were the most important factors that characterize high ozone concentrations. This method can be extended to the characterization of other pollutant concentrations in other regions.
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21

Seaman, Nelson L. "Future directions of meteorology related to air-quality research." Environment International 29, no. 2-3 (2003): 245–52. http://dx.doi.org/10.1016/s0160-4120(02)00183-6.

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22

Gjessing, Egil T. "Humex (Humic lake acidification experiment): Chemistry, hydrology, and meteorology." Environment International 20, no. 3 (1994): 267–76. http://dx.doi.org/10.1016/0160-4120(94)90110-4.

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23

Venkatram, Akula, Vlad Isakov, David Pankratz, and Jing Yuan. "Relating plume spread to meteorology in urban areas." Atmospheric Environment 39, no. 2 (2005): 371–80. http://dx.doi.org/10.1016/j.atmosenv.2004.08.045.

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24

Coen, Deborah R. "The Storm Lab: Meteorology in the Austrian Alps." Science in Context 22, no. 3 (2009): 463–86. http://dx.doi.org/10.1017/s0269889709990093.

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ArgumentWhat, if anything, uniquely defines the mountain as a “laboratory of nature”? Here, this question is considered from the perspective of meteorology. Mountains played a central role in the early history of modern meteorology. The first permanent year-round high-altitude weather stations were built in the 1880s but largely fell out of use by the turn of the twentieth century, not to be revived until the 1930s. This paper considers the unlikely survival of the Sonnblick observatory (3105 m.) in the Austrian Alps. By examining the arguments of the Sonnblick's critics and defenders, it reveals a seemingly paradoxical definition of the mountain as a space that simultaneously maximized isolation and communication. Drawing on the social and environmental history of the Alps, it shows how the Sonnblick came to appear as the perfect embodiment of this paradox.
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25

Maharjan, Sangeeta. "Springtime Meteorology of Damauli Valley, Nepal: Implications for Climatic Comfort and Environmental Hygiene." Journal of Institute of Science and Technology 19, no. 2 (2015): 24–29. http://dx.doi.org/10.3126/jist.v19i2.13848.

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Springtime spatial and temporal distributions of temperature and humidity over the Damauli valley have been numerically assessed to examine thermal comfort and environmental hygiene. The study reveals that the near surface temperature over valley may remain at 24, 34 and 27C during the morning, afternoon and in the evening, respectively, and the relative humidity may remain in between 25 to 30% during the spring season. The high temperature and low humidity can significantly degrade environmental hygiene over the valleyJournal of Institute of Science and Technology, 2014, 19(2): 24-29
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26

Howkins, A. "Weather by the Numbers: The Genesis of Modern Meteorology." Environmental History 15, no. 1 (2010): 145–46. http://dx.doi.org/10.1093/envhis/emq010.

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27

Winkler, P., W. Wobrock, R. N. Colvile, and D. Schell. "The influence of meteorology on clouds at Kleiner Feldberg." Journal of Atmospheric Chemistry 19, no. 1-2 (1994): 37–58. http://dx.doi.org/10.1007/bf00696582.

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28

Hartten, Leslie M., Christopher J. Cox, Paul E. Johnston, Daniel E. Wolfe, Scott Abbott, and H. Alex McColl. "Central-Pacific surface meteorology from the 2016 El Niño Rapid Response (ENRR) field campaign." Earth System Science Data 10, no. 2 (2018): 1139–64. http://dx.doi.org/10.5194/essd-10-1139-2018.

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Abstract. During the early months of the 2015/2016 El Niño event, scientists led by the Earth System Research Laboratory's Physical Sciences Division conducted the National Oceanic and Atmospheric Administration's (NOAA's) El Niño Rapid Response (ENRR) field campaign. One component of ENRR involved in situ observations collected over the near-equatorial eastern–central Pacific Ocean. From 25 January to 28 March 2016, standard surface meteorology observations, including rainfall, were collected at Kiritimati Island (2.0° N, 157.4° E) in support of twice-daily radiosonde launches. From 16 February to 16 March 2016, continuous measurements of surface meteorology, sea surface temperature, and downwelling shortwave radiation were made by NOAA Ship Ronald H. Brown. These were largely done in support of the four to eight radiosondes launched each day as the ship travelled from Hawaii to TAO buoy locations along longitudes 140 and 125° W and then back to port in San Diego, California. The rapid nature of these remote field deployments led to some specific challenges in addition to those common to many surface data collection efforts. This paper documents the two deployments as well as the steps taken to evaluate and process the data. The results are two multi-week surface meteorology data products and one accompanying set of surface fluxes, all collected in the core of the eastern–central Pacific's extremely warm waters. These data sets, plus metadata, are archived at the NOAA's National Centers for Environmental Information (NCEI) and are free for public access: surface meteorology from Kiritimati Island (https://doi.org/10.7289/V51Z42H4); surface meteorology and some surface fluxes from NOAA Ship Ronald H. Brown (https://doi.org/10.7289/V5SF2T80; https://doi.org/10.7289/V58050VP).
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Augustaitis, Algirdas. "Intra-Annual Variation of Stem Circumference of Tree Species Prevailing in Hemi-Boreal Forest on Hourly Scale in Relation to Meteorology, Solar Radiation and Surface Ozone Fluxes." Atmosphere 12, no. 8 (2021): 1017. http://dx.doi.org/10.3390/atmos12081017.

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(1) Background: Continuous monitoring of the tree stem increment throughout the year is crucial for the understanding of trees’ reactions to changes in meteorology, solar radiation and surface ozone and evaluating the adaptive capacity of prevailing tree species to recent environmental global changes; (2) Methods: Data on tree intra-annual sequences based on electronic dendrometer data of Picea abies (L.) Karst, Pinus sylvestris L., Betula pendula, and Betula pubescens, growing under different nutritional and humidity conditions in the north-eastern part of Lithuania, together with their stem sap flow intensity, common meteorology and O3 fluxes, were used to meet the objectives of the study; (3) Results: Stem shrinking/contraction during the day, due to transpiration, and the swelling/expansion during the night was significantly related to meteorology, sun activity and O3 flux intensity. These variations were negatively related to current time and temperature, but positively to precipitation and relative humidity. O3 fluxed through the stomata stimulated the shrinking process more intensively than it inhibited the swelling process, but only for pine and birch trees. Spruce trees demonstrated the highest sensitivity to O3 impact due to its significant effect on the stem swelling process. Pine trees were less sensitive to O3 damages and birch trees were the least sensitive. An over-moisture regime at measoeutrophic organic soil forest site increased the significance of the effect of O3 on the tree increment of the considered tree species; (4) Conclusion: The most intensive tree ring formation of Scots pine trees in relation to recent environmental changes indicated their high resiliencies and adaptations to a local specific condition. Reduced tree growth intensity and weak relationships between the birch tree radios increment and main meteorological parameters indicated the lowest adaptive capacity of this tree species to recent environmental changes.
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Bhaskar, B. Vijay, and Vikram M. Mehta. "Atmospheric Particulate Pollutants and their Relationship with Meteorology in Ahmedabad." Aerosol and Air Quality Research 10, no. 4 (2010): 301–15. http://dx.doi.org/10.4209/aaqr.2009.10.0069.

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31

Westervelt, D. M., L. W. Horowitz, V. Naik, A. P. K. Tai, A. M. Fiore, and D. L. Mauzerall. "Quantifying PM2.5-meteorology sensitivities in a global climate model." Atmospheric Environment 142 (October 2016): 43–56. http://dx.doi.org/10.1016/j.atmosenv.2016.07.040.

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32

Gratz, Lynne E., Gerald J. Keeler, and Eric K. Miller. "Long-term relationships between mercury wet deposition and meteorology." Atmospheric Environment 43, no. 39 (2009): 6218–29. http://dx.doi.org/10.1016/j.atmosenv.2009.08.040.

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33

Lupo, Anthony R., Alexander V. Chernokulsky, Luis Gimeno, et al. "Special Issue: 10th Anniversary of Atmosphere: Climatology and Meteorology." Atmosphere 12, no. 6 (2021): 681. http://dx.doi.org/10.3390/atmos12060681.

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34

Penfold, Bryan M., Hilary R. Hafner, and Steven G. Brown. "Predicting areas of high diesel particulate matter emissions in Phoenix, Arizona, using spatial analysis techniquesA paper submitted to the Journal of Environmental Engineering and Science." Canadian Journal of Civil Engineering 37, no. 2 (2010): 354–65. http://dx.doi.org/10.1139/l09-162.

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Growing evidence suggests that inhalation exposure to diesel exhaust, including diesel particulate matter (DPM), causes acute and chronic health effects. As a result, interest in monitoring diesel exhaust has increased. Maps of emissions sources, emissions activity data, and meteorology were combined within a geographic information system (GIS) suitability model to produce a composite map identifying areas where DPM emissions are likely to be high. The results of the GIS model were compared with (i) the locations of existing monitoring sites in Phoenix, Arizona, and (ii) the spatial distribution of population. The results indicate that two existing sites are located in areas where DPM emissions are predicted to be high; however, incorporating meteorology as a factor showed that one site is located upwind of a predicted high DPM area. Consideration of population density showed high density in two areas that appear to be moderately influenced by DPM.
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Otte, T. L., and J. E. Pleim. "The Meteorology-Chemistry Interface Processor (MCIP) for the CMAQ modeling system." Geoscientific Model Development Discussions 2, no. 2 (2009): 1449–86. http://dx.doi.org/10.5194/gmdd-2-1449-2009.

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Abstract. The Community Multiscale Air Quality (CMAQ) modeling system, a state-of-the-science regional air quality modeling system developed by the US Environmental Protection Agency, is being used for a variety of environmental modeling problems including regulatory applications, air quality forecasting, evaluation of emissions control strategies, process-level research, and interactions of global climate change and regional air quality. The Meteorology-Chemistry Interface Processor (MCIP) is a vital piece of software within the CMAQ modeling system that serves to, as best as possible, maintain dynamic consistency between the meteorological model and the chemical transport model. MCIP acts as both a post-processor to the meteorological model and a pre-processor to the CMAQ modeling system. MCIP's functions are to ingest the meteorological model output fields in their native formats, perform horizontal and vertical coordinate transformations, diagnose additional atmospheric fields, define gridding parameters, and prepare the meteorological fields in a form required by the CMAQ modeling system. This paper provides an updated overview of MCIP, documenting the scientific changes that have been made since it was first released as part of the CMAQ modeling system in 1998.
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36

Rennie, Susannah, Chris Andrews, Sarah Atkinson, et al. "The UK Environmental Change Network datasets – integrated and co-located data for long-term environmental research (1993–2015)." Earth System Science Data 12, no. 1 (2020): 87–107. http://dx.doi.org/10.5194/essd-12-87-2020.

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Abstract. Long-term datasets of integrated environmental variables, co-located together, are relatively rare. The UK Environmental Change Network (ECN) was launched in 1992 and provides the UK with its only long-term integrated environmental monitoring and research network for the assessment of the causes and consequences of environmental change. Measurements, covering a wide range of physical, chemical, and biological “driver” and “response” variables are made in close proximity at ECN terrestrial sites using protocols incorporating standard quality control procedures. This paper describes the datasets (there are 19 published ECN datasets) for these co-located measurements, containing over 20 years of data (1993–2015). The data and supporting documentation are freely available from the NERC Environmental Information Data Centre under the terms of the Open Government Licence using the following DOIs. Meteorology Meteorology: https://doi.org/10.5285/fc9bcd1c-e3fc-4c5a-b569-2fe62d40f2f5 (Rennie et al., 2017a) Biogeochemistry Atmospheric nitrogen chemistry: https://doi.org/10.5285/baf51776-c2d0-4e57-9cd3-30cd6336d9cf (Rennie et al., 2017b) Precipitation chemistry: https://doi.org/10.5285/18b7c387-037d-4949-98bc-e8db5ef4264c (Rennie et al., 2017c) Soil solution chemistry: https://doi.org/10.5285/b330d395-68f2-47f1-8d59-3291dc02923b (Rennie et al., 2017d) Stream water chemistry: https://doi.org/10.5285/fd7ca5ef-460a-463c-ad2b-5ad48bb4e22e (Rennie et al., 2017e) Stream water discharge: https://doi.org/10.5285/8b58c86b-0c2a-4d48-b25a-7a0141859004 (Rennie et al., 2017f) Invertebrates Moths: https://doi.org/10.5285/a2a49f47-49b3-46da-a434-bb22e524c5d2 (Rennie et al., 2017g) Butterflies: https://doi.org/10.5285/5aeda581-b4f2-4e51-b1a6-890b6b3403a3 (Rennie et al., 2017h) Carabid beetle: https://doi.org/10.5285/8385f864-dd41-410f-b248-028f923cb281 (Rennie et al., 2017i) Spittle bugs: https://doi.org/10.5285/aff433be-0869-4393-b765-9e6faad2a12b (Rennie et al., 2018) Vegetation Baseline: https://doi.org/10.5285/a7b49ac1-24f5-406e-ac8f-3d05fb583e3b (Rennie et al., 2016a) Coarse grain: https://doi.org/10.5285/d349babc-329a-4d6e-9eca-92e630e1be3f (Rennie et al., 2016b) Woodland: https://doi.org/10.5285/94aef007-634e-42db-bc52-9aae86adbd33 (Rennie et al., 2017j) Fine grain: https://doi.org/10.5285/b98efec8-6de0-4e0c-85dc-fe4cdf01f086 (Rennie et al., 2017k) Vertebrates Frogs: https://doi.org/10.5285/4d8c7dd9-8248-46ca-b988-c1fc38e51581 (Rennie et al., 2017l) Birds (Breeding bird survey): https://doi.org/10.5285/5886c3ba-1fa5-49c0-8da8-40e69a10d2b5 (Rennie et al., 2017m) Birds (Common bird census): https://doi.org/10.5285/8582a02c-b28c-45d2-afa1-c1e85fba023d (Rennie et al., 2017n) Bats: https://doi.org/10.5285/2588ee91-6cbd-4888-86fc-81858d1bf085 (Rennie et al., 2017o) Rabbits and deer: https://doi.org/10.5285/0be0aed3-f205-4f1f-a65d-84f8cfd8d50f (Rennie et al., 2017p)
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37

Koo, Ja-Ho, Taejin Choi, Hana Lee, et al. "Total ozone characteristics associated with regional meteorology in West Antarctica." Atmospheric Environment 195 (December 2018): 78–88. http://dx.doi.org/10.1016/j.atmosenv.2018.09.056.

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38

Crawford, Jagoda, Scott Chambers, David D. Cohen, et al. "Impact of meteorology on fine aerosols at Lucas Heights, Australia." Atmospheric Environment 145 (November 2016): 135–46. http://dx.doi.org/10.1016/j.atmosenv.2016.09.025.

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39

ALDRIN, M., and I. HAFF. "Generalised additive modelling of air pollution, traffic volume and meteorology." Atmospheric Environment 39, no. 11 (2005): 2145–55. http://dx.doi.org/10.1016/j.atmosenv.2004.12.020.

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40

Su, Jason G., Michael Brauer, Bruce Ainslie, Douw Steyn, Timothy Larson, and Michael Buzzelli. "An innovative land use regression model incorporating meteorology for exposure analysis." Science of The Total Environment 390, no. 2-3 (2008): 520–29. http://dx.doi.org/10.1016/j.scitotenv.2007.10.032.

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41

Lang-Yona, Naama, Fatma Öztürk, Daniella Gat, et al. "Links between airborne microbiome, meteorology, and chemical composition in northwestern Turkey." Science of The Total Environment 725 (July 2020): 138227. http://dx.doi.org/10.1016/j.scitotenv.2020.138227.

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42

Kim, Jae Hee, and Jungmin Hong. "A GAM for Daily Ozone Concentration in Seoul." Key Engineering Materials 277-279 (January 2005): 497–502. http://dx.doi.org/10.4028/www.scientific.net/kem.277-279.497.

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This study focuses on ozone modeling using meteorological and air monitoring variables. Twenty seven (27) places in Seoul were measured for ozone values from January 1999 to December 1999. Air quality monitoring data consisted of CO, NO2, O3, PM10, TSP while meteorology data consisted of the daily maximum temperature, humidity and wind speed, and solar radiation. The complexity of environmental data dynamics often requires models covering non-linearity. Photochemical ozone pollution is the result of complex non-linear interactions between atmospheric pollutants and meteorology. The generalized additive model is favored because it is the most flexible, has the fewest statistical assumptions, and it can detect and fit potentially complex and nonlinear dependencies. For these reasons we modeled the daily ozone amount using a generalized additive model with smooth loess functions and compared it with a multiple linear regression model.
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43

Baker, Kirk R., Heather Simon, and James T. Kelly. "Challenges to Modeling “Cold Pool” Meteorology Associated with High Pollution Episodes." Environmental Science & Technology 45, no. 17 (2011): 7118–19. http://dx.doi.org/10.1021/es202705v.

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44

Hicks, B. B., and D. R. Matt. "Combining biology, chemistry, and meteorology in modeling and measuring dry deposition." Journal of Atmospheric Chemistry 6, no. 1-2 (1988): 117–31. http://dx.doi.org/10.1007/bf00048335.

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45

Yura Witsqa Firmansyah, Mirza Fathan Fuadi, Farida Sugiester S, Wahyu Widyantoro, and Muhammad Fadli Ramadhansyah. "Environmental Conditions and COVID-19 Incident." Journal of Health Science and Prevention 5, no. 1 (2021): 58–64. http://dx.doi.org/10.29080/jhsp.v5i1.514.

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COVID-19 merupakan penyakit menular baru yang disebabkan oleh virus SARS-CoV-2. Ditetapkan sebagai pandemi pada 12 Maret 2020 karena memiliki sebaran kasus yang tinggi dan cepat dibeberapa negara. Pada 1 Februari 2021 total kasus COVID-19 mencapai 103 juta di dunia, sedangkan di indonesia mencaoai 1,09 juta. Banyak faktor yang mempengaruhi terhadap penularan dan kematian COVID-19, seperti kondisi lingkungan. Penelitian ini bertujuan untuk memberikan gambaran kondisi lingkungan yang dapat menjadi faktor penularan dan kematian akibat COVID-19. Metode dalam penelitian ini adalah literature review, merupakan kajian pustaka dengan kajian data sekunder diperoleh melalui jurnal penelitian yang kemudihan disintesis sehingga didapatkan 23 jurnal sebagai acuan penyusunan kajian pustaka. Hasil kajian pustaka, COVID-19 dan degradasi lingkungan memiliki penurunan pencemaran udara, air, kebisingan, dan pencemaran laut akibat lockdown. Namun, terjadi peningkatan volumen limbah B3 dari pasien COVID-19. Kemudihan COVID-19 dan pencemaran udara didapatkan hasil, karbon monoksida (CO), NO2, dan materi partikulat berdiameter kecil atau sama dengan 10 ?m' (PM10) mengalami penurunan signifikan selama lockdown global. Sedangkan untuk COVID-19 dan Klimatologi-Meteorologi didapatkan hasil, Setiap kenaikan suhu 1oC dari suhu rata-rata dapat menurunkan kasus harian COVID-19 sebesar 36% dan 57% ketika rata-rata kelembaban pada 67% dan 85,5% (%). Demikian juga kelembaban, setiap kenaikan 1oC relatif menurunkan kasus harian COVID-19 sebesar 11% hingga 22% dengan rentang suhu 5,04oC hingga 8,2oC. Simpulan penelitian ini adalah, kondisi lingkungan pada saat pandemi COVID-19 memiliki polemik tersendiri. Kerusakan lingkungan seperti pencemaran udara, laut mulai berkurang dengan adanya kebijakan lockdown sebagai upaya pencegahan dan pengendalian COVID-19. Namun beberapa polutan seperti PM2,5 , PM10, CO, NO2 dan O3 memiliki hubungan yang signifikan dengan transmisi COVID-19. Selain itu, faktor klimatologi dan meteorologi seperti suhu dan kelembaban memiliki nilai asosiasi yang kuat terhadap kasus harian COVID-19COVID-19 is a new infectious disease caused by the SARS-CoV-2 virus and was designated a pandemic on March 12, 2020, because it has spread cases in several countries. On February 1, 2021, the total number of COVID-19 cases reached 103 million in the world, and in Indonesia it reached 1.09 million. Many factors influence the transmission and death of COVID-19, for example environmental conditions. This study aims to provide an overview of environmental conditions that can be a factor for transmission and death due to COVID-19. The method in this research is literature review, which is a literature review with secondary data obtained through research journals which are then synthesized and obtained 23 articles as a reference for preparing literature reviews. COVID-19 and environmental degradation have decreased air, water, noise and marine pollution due to the lockdown, but there has been an increase in the volume of hazardous and toxic waste from COVID-19 patients. Then from air pollution, the results of decreases in CO, NO2, and PM10 during lockdown. Meanwhile, for climatology and meteorology, the result is that every 1oC increase in temperature from the average temperature can reduce daily cases of COVID-19 by 36% and 57% when the average humidity is at 67% and 85.5%. Likewis,e humidity each 1oC increase relatively reduces daily cases of COVID-19 by 11% to 22% with a temperature range of 5.04oC to 8.2oC. The conclusion of this research is that the environmental conditions at the time of the COVID-19 pandemic had their own polemic. However, several pollutants such as PM2,5, PM10, CO, NO2 and O3 have a significant relationship with the transmission of COVID-19. This literature review can provide recommendations regarding a holistic model policy for governments globally in efforts to prevent and control environmental pollution, and recycle medical waste.COVID-19 is a new infectious disease caused by the SARS-CoV-2 virus and was designated as a pandemic since March 12, 2020, because there are a lot of case in several countries. On February 1, 2021, the total number of COVID-19 cases reached 103 million in the world, and in Indonesia it reached 1.09 million. Many factors influence the transmission and death of COVID-19, for example environmental conditions. This study aims to provide an overview of environmental conditions that can be a factor for transmission and death due to COVID-19. The method in this research is literature review, which is a literature review with secondary data obtained through research journals which are then synthesized and obtained 23 articles as a reference for preparing literature reviews. COVID-19 and environmental degradation have decreased air, water, noise and marine pollution due to the lockdown, but there has been an increase in the volume of hazardous and toxic waste from COVID-19 patients. Then from air pollution, the results of decreases in CO, NO2, and PM10 during lockdown. Meanwhile, for climatology and meteorology, the result is that every 1oC increase in temperature from the average temperature can reduce daily cases of COVID-19 by 36% and 57% when the average humidity is at 67% and 85.5%. Likewis,e humidity each 1oC increase relatively reduces daily cases of COVID-19 by 11% to 22% with a temperature range of 5.04oC to 8.2oC. The conclusion of this research is that the environmental conditions during a pandemic had their own polemic. However, several pollutants such as CO, NO2, O3, PM2,5, and PM10 is closely related to the spread of COVID-19. This literature review can provide recommendations for an overall global government demonstration policy in the prevention and control of environmental pollution and recycling of medical waste.
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46

Ménard, Richard, Pierre Gauthier, Yves Rochon, et al. "Coupled Stratospheric Chemistry–Meteorology Data Assimilation. Part II: Weak and Strong Coupling." Atmosphere 10, no. 12 (2019): 798. http://dx.doi.org/10.3390/atmos10120798.

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We examine data assimilation coupling between meteorology and chemistry in the stratosphere from both weak and strong coupling strategies. The study was performed with the Canadian operational weather prediction Global Environmental Multiscale (GEM) model coupled online with the photochemical stratospheric chemistry model developed at the Belgian Institute for Space Aeronomy, described in Part I. Here, the Canadian Meteorological Centre’s operational variational assimilation system was extended to include errors of chemical variables and cross-covariances between meteorological and chemical variables in a 3D-Var configuration, and we added the adjoint of tracer advection in the 4D-Var configuration. Our results show that the assimilation of limb sounding observations from the MIPAS instrument on board Envisat can be used to anchor the AMSU-A radiance bias correction scheme. Additionally, the added value of limb sounding temperature observations on meteorology and transport is shown to be significant. Weak coupling data assimilation with ozone–radiation interaction is shown to give comparable results on meteorology whether a simplified linearized or comprehensive ozone chemistry scheme is used. Strong coupling data assimilation, using static error cross-covariances between ozone and temperature in a 3D-Var context, produced inconclusive results with the approximations we used. We have also conducted the assimilation of long-lived species observations using 4D-Var to infer winds. Our results showed the added value of assimilating several long-lived species, and an improvement in the zonal wind in the Tropics within the troposphere and lower stratosphere. 4D-Var assimilation also induced a correction of zonal wind in the surf zone and a temperature bias in the lower tropical stratosphere.
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47

Xu, Peng, and Ren Yuan Li. "On Cross-Strait Cooperation for Environmental Preservation at the South China Sea - An Angle of Rescue and Salvage at the Sea." Advanced Materials Research 781-784 (September 2013): 2277–82. http://dx.doi.org/10.4028/www.scientific.net/amr.781-784.2277.

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Complex geographical position and meteorology make the SCS become high-risk area of accident. In order to prevent from accident to avoid marine pollution or minimize pollution as soon as possible in the SCS, strengthening rescue and salvage is necessary. Because of characteristics of the Marine pollution and special situation in the SCS, cross-strait cooperation for marine environmental preservation in the SCS should be strengthened. In this case, cross-strait cooperation on establishing a salvage company for rescue and prevention of pollution in the SCS can integrate cross-strait salvage power to promote marine environmental preservation.
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48

Guan, Liao, Yongli Liang, Yingze Tian, Zhuoran Yang, Yueming Sun, and Yinchang Feng. "Quantitatively analyzing effects of meteorology and PM2.5 sources on low visual distance." Science of The Total Environment 659 (April 2019): 764–72. http://dx.doi.org/10.1016/j.scitotenv.2018.12.431.

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49

Bao, Yunxiang. "Impact Assessment of Eastern Route of South-to-North Water Diversion Project Operation on Water Environmental of Dongping Lake." E3S Web of Conferences 276 (2021): 01006. http://dx.doi.org/10.1051/e3sconf/202127601006.

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The Eastern Route of the South-to-North Water Diversion Project is a national strategic measure to improve the water supply conditions of the cities along the route, Jiaodong and Huaibei regions. However, the Water Diversion Project not only brings social and economic benefits, but also changes the hydrological situation and ecological environment of water source area, transfer area and receiving area. In this paper, Dongping Lake is selected as the research object. By using the analytic hierarchy process and fuzzy evaluation method, the index system of the impact assessment of the Eastern route project on the water environment of Dongping Lake is constructed, and a multi-level fuzzy evaluation model is established to conduct quantitative and qualitative research on the impacts of hydrology, meteorology, water ecological environment, soil and other aspects as well as ecological and economic compensation. The analysis results show that the operation of the Eastern route project has brought some negative effects on Dongping Lake, mainly reflected in the aspects of soil, ecological compensation, hydrology and meteorology, and the negative effects on the water ecological environment are light. By studying the impact of the Eastern route project on the water environment of Dongping Lake, this paper aims to improve the environmental impact assessment system for the water receiving area of the Eastern Route of the South-to-North Water Diversion Project, and to provide reference for the research on the environmental impact assessment system for other water diversion projects in China.
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50

Vlietstra, Lucy S., Karina L. Mrakovcich, Peter A. Tebeau, and Gregory J. Hall. "Marine Oil Spill Simulation: A Scenario-Based Classroom Application of Meteorology and Oceanography to Environmental Protection." International Oil Spill Conference Proceedings 2014, no. 1 (2014): 292696. http://dx.doi.org/10.7901/2169-3358-2014-1-292696.1.

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Predicting oil spill impacts and designing an effective response requires knowledge from several disciplines, including environmental chemistry, meteorology, oceanography, and marine ecology. In this poster, we describe an interactive computer modeling exercise that expands student understanding of principles in the natural sciences by applying them to an oil spill response scenario. The exercise is based on the software package, GNOME v.1.3.7, available from the National Oceanic and Atmospheric Administration (NOAA). Students begin by selecting one of numerous coastal locations in the United States and an oil product to be spilled (e.g., medium crude, diesel fuel, No. 6 fuel oil). They predict oil drift trajectories by accessing surface weather analysis charts, upper air charts, and marine forecasts produced by the National Weather Service as well as real-time oceanographic data available from NOAA's Data Buoy Center and the Tides and Currents database. Students consult the Atlas of Pilot Charts from the National Geospatial Intelligence Agency to evaluate any influence of large-scale currents. Drawing from knowledge of the chemical properties of oil, weathering processes, leeway, Ekman dynamics, tides, and geostrophic flow, students forecast the amount and location of oil remaining after 48 hours. Predictions are tested in GNOME, which simulates an oil spill with the chosen characteristics, at the chosen location, under the same environmental conditions. Based on the model results, students evaluate environmental impacts by referring to Environmental Sensitivity Index (ESI) maps for affected coastlines. These maps are available from NOAA's Office of Prevention and Response and contain site-specific information on shoreline habitat sensitivity, conservation status of biological populations, and location of vulnerable coastal infrastructure. Students prioritize areas for protection and design a response plan with appropriate clean-up countermeasures. Response plans are communicated to the instructor in the form of a recommendation addressed to the Captain of the Port. This exercise has been successfully incorporated into several courses at the Coast Guard Academy, with modifications to accommodate various audiences and learning objectives. All versions include multidisciplinary and collaborative learning techniques, higher-level cognitive thinking, and communication requirements. Data and software packages for this exercise are freely available from federal government websites, making possible its widespread use at other colleges and agencies seeking to provide students with hands-on opportunities to explore scientific concepts in the context of environmental protection.
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