1
|
Abstract
The scaling properties of turbulent flows are well established in the inertial sub-range. However, those of the synoptic-scale motions are less known, also because of the difficult analysis of data presenting nonstationary and periodic features. Extensive analysis of experimental wind speed data, collected at the Mauna Loa Observatory of Hawaii, is performed using different methods. Empirical Mode Decomposition, interoccurrence times statistics, and arbitrary-order Hilbert spectral analysis allow to eliminate effects of large-scale modulations, and provide scaling properties of the field fluctuations (Hurst exponent, interoccurrence distribution, and intermittency correction). The obtained results suggest that the mesoscale wind dynamics owns features which are typical of the inertial sub-range turbulence, thus extending the validity of the turbulent cascade phenomenology to scales larger than observed before.
Collapse
|
2
|
Carbone F, Bruno AG, Naccarato A, De Simone F, Gencarelli CN, Sprovieri F, Hedgecock IM, Landis MS, Skov H, Pfaffhuber KA, Read KA, Martin L, Angot H, Dommergue A, Magand O, Pirrone N. The superstatistical nature and interoccurrence time of atmospheric mercury concentration fluctuations. JOURNAL OF GEOPHYSICAL RESEARCH. ATMOSPHERES : JGR 2018; 123:764-774. [PMID: 30505642 PMCID: PMC6260940 DOI: 10.1002/2017jd027384] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The probability density function (PDF) of the time intervals between subsequent extreme events in atmospheric Hg0 concentration data series from different latitudes has been investigated. The Hg0 dynamic possesses a long-term memory autocorrelation function. Above a fixed threshold Q in the data, the PDFs of the interoccurrence time of the Hg0 data are well described by a Tsallis q-Exponential function. This PDF behavior has been explained in the framework of superstatistics, where the competition between multiple mesoscopic processes affects the macroscopic dynamics. An extensive parameter μ, encompassing all possible fluctuations related to mesoscopic phenomena, has been identified. It follows a χ 2-distribution, indicative of the superstatistical nature of the overall process. Shuffling the data series destroys the long-term memory, the distributions become independent of Q, and the PDFs collapse on to the same exponential distribution. The possible central role of atmospheric turbulence on extreme events in the Hg0 data is highlighted.
Collapse
Affiliation(s)
- F. Carbone
- CNR-Institute of Atmospheric Pollution Research, Division of Rende, UNICAL-Polifunzionale, 87036 Rende (CS), Italy
| | - A. G. Bruno
- CNR-Institute of Atmospheric Pollution Research, Division of Rende, UNICAL-Polifunzionale, 87036 Rende (CS), Italy
- Dipartimento di Fisica, Università della Calabria, Ponte Pietro Bucci 31C, I-87036 Rende (CS), Italy
| | - A. Naccarato
- CNR-Institute of Atmospheric Pollution Research, Division of Rende, UNICAL-Polifunzionale, 87036 Rende (CS), Italy
| | - F. De Simone
- CNR-Institute of Atmospheric Pollution Research, Division of Rende, UNICAL-Polifunzionale, 87036 Rende (CS), Italy
| | - C. N. Gencarelli
- CNR-Institute of Atmospheric Pollution Research, Division of Rende, UNICAL-Polifunzionale, 87036 Rende (CS), Italy
| | - F. Sprovieri
- CNR-Institute of Atmospheric Pollution Research, Division of Rende, UNICAL-Polifunzionale, 87036 Rende (CS), Italy
| | - I. M. Hedgecock
- CNR-Institute of Atmospheric Pollution Research, Division of Rende, UNICAL-Polifunzionale, 87036 Rende (CS), Italy
| | - M. S. Landis
- U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina 27709, United States
| | - H. Skov
- Aarhus University, Department of Environmental Science, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - K. A. Pfaffhuber
- Norwegian Institute for Air Research (NILU), P.O. Box 100, 2027 Kjeller, Norway
| | - K. A. Read
- NCAS,National Centre for Atmospheric Sciences, University of York, York, UK
| | - L. Martin
- Cape Point GAW Station, Climate and Environment Research & Monitoring, South African Weather Service, Stellenbosch, South Africa
| | - H. Angot
- University Grenoble Alpes, CNRS, IRD, IGE, Grenoble, France
| | - A. Dommergue
- University Grenoble Alpes, CNRS, IRD, IGE, Grenoble, France
| | - O. Magand
- University Grenoble Alpes, CNRS, IRD, IGE, Grenoble, France
| | - N. Pirrone
- CNR-Institute of Atmospheric Pollution Research, Area della Ricerca di Roma 1, Via Salaria km 29,300, Monterotondo, 00015 Rome, Italy
| |
Collapse
|
3
|
Gao J, Zhu B, Xiao H, Kang H, Hou X, Yin Y, Zhang L, Miao Q. Diurnal variations and source apportionment of ozone at the summit of Mount Huang, a rural site in Eastern China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2017; 222:513-522. [PMID: 28082130 DOI: 10.1016/j.envpol.2016.11.031] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Revised: 11/09/2016] [Accepted: 11/10/2016] [Indexed: 06/06/2023]
Abstract
Comprehensive measurements were conducted at the summit of Mount (Mt.) Huang, a rural site located in eastern China during the summer of 2011. They observed that ozone showed pronounced diurnal variations with high concentrations at night and low values during daytime. The Weather Research and Forecasting with Chemistry (WRF-Chem) model was applied to simulate the ozone concentrations at Mt. Huang in June 2011. With processes analysis and online ozone tagging method we coupled into the model system, the causes of this diurnal pattern and the contributions from different source regions were investigated. Our results showed that boundary layer diurnal cycle played an important role in driving the ozone diurnal variation. Further analysis showed that the negative contribution of vertical mixing was significant, resulting in the ozone decrease during the daytime. In contrast, ozone increased at night owing to the significant positive contribution of advection. This shifting of major factor between vertical mixing and advection formed this diurnal variation. Ozone source apportionment results indicated that approximately half was provided by inflow effect of ozone from outside the model domain (O3-INFLOW) and the other half was formed by ozone precursors (O3-PBL) emitted in eastern, central, and southern China. In the O3-PBL, 3.0% of the ozone was from Mt. Huang reflecting the small local contribution (O3-LOC) and the non-local contributions (O3-NLOC) accounted for 41.6%, in which ozone from the southerly regions contributed significantly, for example, 9.9% of the ozone originating from Jiangxi, representing the highest geographical contributor. Because the origin and variation of O3-NLOC was highly related to the diurnal movements in boundary layer, the similar diurnal patterns between O3-NLOC and total ozone both indicated the direct influence of O3-NLOC and the importance of boundary layer diurnal variations in the formation of such distinct diurnal ozone variations at Mt. Huang.
Collapse
Affiliation(s)
- J Gao
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China; Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, China
| | - B Zhu
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China; Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, China.
| | - H Xiao
- Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou, China
| | - H Kang
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China; Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, China
| | - X Hou
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China; Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, China
| | - Y Yin
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China; Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, China
| | - L Zhang
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China; Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, China
| | - Q Miao
- Suzhou Environment Monitor Center, Suzhou, China
| |
Collapse
|
4
|
Zhang L, Jin L, Zhao T, Yin Y, Zhu B, Shan Y, Guo X, Tan C, Gao J, Wang H. Diurnal variation of surface ozone in mountainous areas: Case study of Mt. Huang, East China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2015; 538:583-590. [PMID: 26318811 DOI: 10.1016/j.scitotenv.2015.08.096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2015] [Revised: 07/25/2015] [Accepted: 08/16/2015] [Indexed: 06/04/2023]
Abstract
To explore the variations in atmospheric environment over mountainous areas, measurements were made from an intensive field observation at the summit of Mt. Huang (30.13°N, 118.15°E, 1841m above sea level), a rural site located in East China, from June to August 2011. The measurements revealed a diurnal change of surface O3 with low concentrations during the daytime and high concentrations during the nighttime. The causes of diurnal O3 variations over the mountain peak in East China were investigated by using a fairly comprehensive WRF-Chem and HYSPLIT4 modeling approach with observational analysis. By varying model inputs and comparing the results to a baseline modeling and actual air quality observations, it is found that nearby ozone urban/anthropogenic emission sources were contributing to a nighttime increase in mountaintop ozone levels due to a regional transport lag and residual layer effects. Positive correlation of measured O3 and CO concentrations suggested that O3 was associated with anthropogenic emissions. Sensitivity modeling experiments indicated that local anthropogenic emissions had little impact on the diurnal pattern of O3. The diurnal pattern of O3 was mainly influenced by regional O3 transport from the surrounding urban areas located 100-150km away from the summit, with a lag time of 10h for transport.
Collapse
Affiliation(s)
- Lei Zhang
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Science Information & Technology, Nanjing 210044, China
| | - Lianji Jin
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Science Information & Technology, Nanjing 210044, China
| | - Tianliang Zhao
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Science Information & Technology, Nanjing 210044, China.
| | - Yan Yin
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Science Information & Technology, Nanjing 210044, China
| | - Bin Zhu
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Science Information & Technology, Nanjing 210044, China
| | - Yunpeng Shan
- Division of Atmospheric Science, Desert Research Institute, Reno, NV 89512, USA
| | - Xiaomei Guo
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Science Information & Technology, Nanjing 210044, China
| | - Chenghao Tan
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Science Information & Technology, Nanjing 210044, China
| | - Jinhui Gao
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Science Information & Technology, Nanjing 210044, China
| | - Haoliang Wang
- Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Science Information & Technology, Nanjing 210044, China
| |
Collapse
|
5
|
Kleissl J, Honrath RE, Dziobak MP, Tanner D, Val Martín M, Owen RC, Helmig D. Occurrence of upslope flows at the Pico mountaintop observatory: A case study of orographic flows on a small, volcanic island. ACTA ACUST UNITED AC 2007. [DOI: 10.1029/2006jd007565] [Citation(s) in RCA: 45] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- J. Kleissl
- Department of Mechanical and Aerospace Engineering; University of California, San Diego; La Jolla California USA
| | - R. E. Honrath
- Department of Civil and Environmental Engineering; Michigan Technological University; Houghton Michigan USA
| | - M. P. Dziobak
- Department of Civil and Environmental Engineering; Michigan Technological University; Houghton Michigan USA
| | - D. Tanner
- Institute of Arctic and Alpine Research; University of Colorado; Boulder Colorado USA
| | - M. Val Martín
- Department of Civil and Environmental Engineering; Michigan Technological University; Houghton Michigan USA
| | - R. C. Owen
- Department of Civil and Environmental Engineering; Michigan Technological University; Houghton Michigan USA
| | - D. Helmig
- Institute of Arctic and Alpine Research; University of Colorado; Boulder Colorado USA
| |
Collapse
|
6
|
Holben BN, Tanré D, Smirnov A, Eck TF, Slutsker I, Abuhassan N, Newcomb WW, Schafer JS, Chatenet B, Lavenu F, Kaufman YJ, Castle JV, Setzer A, Markham B, Clark D, Frouin R, Halthore R, Karneli A, O'Neill NT, Pietras C, Pinker RT, Voss K, Zibordi G. An emerging ground-based aerosol climatology: Aerosol optical depth from AERONET. ACTA ACUST UNITED AC 2001. [DOI: 10.1029/2001jd900014] [Citation(s) in RCA: 1499] [Impact Index Per Article: 62.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
|
7
|
Perry KD, Cahill TA, Schnell RC, Harris JM. Long-range transport of anthropogenic aerosols to the National Oceanic and Atmospheric Administration baseline station at Mauna Loa Observatory, Hawaii. ACTA ACUST UNITED AC 1999. [DOI: 10.1029/1998jd100083] [Citation(s) in RCA: 109] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
|