Study on the influence of ground and satellite observations on the numerical air-quality for PM10 over Romanian territory

Dumitrache Rodica Claudia; Iriza Amalia; Maco Bogdan Alexandru; Barbu Cosmin Danut; Hirtl Marcus; Mantovani Simone; Nicola Oana; Irimescu Anisoara; Craciunescu Vasile; Ristea Alina; Diamandi Andrei

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Study on the influence of ground and satellite observations on the numerical air-quality for PM10 over Romanian territory

机译：地面和卫星观测对罗马尼亚境内PM10数值空气质量的影响的研究

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The numerical forecast of particulate matter concentrations in general, and PM10 in particular is a theme of high socio-economic relevance. The aim of this study was to investigate the impact of ground and satellite data assimilation of PM10 observations into the Weather Research and Forecasting model coupled with Chemistry (WRF-CHEM) numerical air quality model for Romanian territory. This is the first initiative of the kind for this domain of interest. Assimilation of satellite information - e.g. AOT's in air quality models is of interest due to the vast spatial coverage of the observations. Support Vector Regression (SVR) techniques are used to estimate the PM content from heterogeneous data sources, including EO products (Aerosol Optical Thickness), ground measurements and numerical model data (temperature, humidity, wind, etc.). In this study we describe the modeling framework employed and present the evaluation of the impact from the data assimilation of PM10 observations on the forecast of the WRF-CHEM model. Integrations of the WRF-CHEM model in data assimilation enabled/disabled configurations allowed the evaluation of satellite and ground data assimilation impact on the PM10 forecast performance for the Romanian territory. The model integration and evaluation were performed for two months, one in winter conditions (January 2013) and one in summer conditions (June 2013). (C) 2016 Elsevier Ltd. All rights reserved.

机译：总体上，特别是PM10颗粒物浓度的数值预测是具有高度社会经济意义的主题。这项研究的目的是研究将PM10观测的地面和卫星数据同化对天气研究和预报模型以及化学（WRF-CHEM）罗马尼亚领土空气质量数字模型的影响。这是该领域的第一个举措。吸收卫星信息-例如由于观测值的空间覆盖范围广，AOT的空气质量模型引起了人们的关注。支持向量回归（SVR）技术用于从异构数据源估算PM含量，这些数据源包括EO产品（气溶胶光学厚度），地面测量值和数值模型数据（温度，湿度，风等）。在这项研究中，我们描述了所使用的建模框架，并提出了对PM10观测资料的数据同化对WRF-CHEM模型预测的影响的评估。通过将WRF-CHEM模型集成到启用/禁用数据同化配置中，可以评估卫星和地面数据同化对罗马尼亚领土PM10预报性能的影响。模型集成和评估进行了两个月，一个在冬季（2013年1月），一个在夏季（2013年6月）。（C）2016 Elsevier Ltd.保留所有权利。

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来源
《Atmospheric environment》 |2016年第10期|278-289|共12页
作者
Dumitrache Rodica Claudia; Iriza Amalia; Maco Bogdan Alexandru; Barbu Cosmin Danut; Hirtl Marcus; Mantovani Simone; Nicola Oana; Irimescu Anisoara; Craciunescu Vasile; Ristea Alina; Diamandi Andrei;
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作者单位

Natl Meteorol Adm, Sos Bucuresti Ploiesti 97, Bucharest 013686, Romania;

Natl Meteorol Adm, Sos Bucuresti Ploiesti 97, Bucharest 013686, Romania|Univ Bucharest, Fac Phys, POB MG-11, Bucharest, Romania;

Natl Meteorol Adm, Sos Bucuresti Ploiesti 97, Bucharest 013686, Romania|Univ Bucharest, Fac Geog, Blvd Nicolae Balcescu 1, Bucharest 010041, Romania;

Natl Meteorol Adm, Sos Bucuresti Ploiesti 97, Bucharest 013686, Romania|Univ Bucharest, Fac Math & Comp Sci, Str Acad 14,POB 010014, Bucharest, Romania;

Zent Anstalt Meteorol & Geodynam, Hohe Warte 38, A-1190 Vienna, Austria;

SISTEMA GmbH, Waehringerstr 61, A-1090 Vienna, Austria;

Natl Meteorol Adm, Sos Bucuresti Ploiesti 97, Bucharest 013686, Romania;

Natl Meteorol Adm, Sos Bucuresti Ploiesti 97, Bucharest 013686, Romania;

Natl Meteorol Adm, Sos Bucuresti Ploiesti 97, Bucharest 013686, Romania;

Natl Meteorol Adm, Sos Bucuresti Ploiesti 97, Bucharest 013686, Romania;

Natl Meteorol Adm, Sos Bucuresti Ploiesti 97, Bucharest 013686, Romania;

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正文语种 eng
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关键词
Air quality modeling; WRF-CHEM; PM10; Ground and satellite data assimilation;

机译：空气质量建模;WRF-CHEM;PM10;地面和卫星数据同化;

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专利

1. Meteorological Elements Used in the Numerical Forecast of PM10 Over the Romanian Territory [J] . Bogdan Alexandru Maco, Nicoleta Ionac, Rodica Claudia Dumitrache Present Environment and Sustainable Development . 2016,第1期

机译：在罗马尼亚领土上PM10的数值预测中使用的气象元素
2. Features of High-Latitude Ionospheric Irregularities Development as Revealed by Ground-Based GPS Observations, Satellite-Borne GPS Observations and Satellite In Situ Measurements over the Territory of Russia during the Geomagnetic Storm on March 17-18, 2015 [J] . Zakharenkova I. E., Cherniak Iu. V., Shagimuratov I. I., Geomagnetism and aeronomy . 2018,第1期

机译：高纬度电离层不规则发展的特点，由地面GPS观测，卫星GPS观测和卫星在2015年3月17日至18日在俄罗斯境内的原位测量中透露的卫星GPS观测和卫星
3. Comparative inverse analysis of satellite (MODIS) and ground (PM10) observations to estimate dust emissions in East Asia [J] . Bonyang Ku, Rokjin J. Park Asia-Pacific Journal of Atmospheric Sciences . 2013,第1期

机译：卫星（MODIS）和地面（PM10）观测值的比较反分析，以估计东亚的粉尘排放
4. High Spatial Resolution Satellites as a Complement to Atmospheric Modelling and to Ground Measurements for Air-Quality Monitoring [C] . N. Sifakis, N. Soulakellis, D. Sarigiannis, Society of Photo-Optical Instrumentation Engineers Conference on Remote Sensing of Clouds and the Atmosphere . 2003

机译：高空间分辨率卫星作为大气建模的补充，以及用于空气质量监测的地面测量
5. Physical modeling and numerical simulation of factors leading to high PM10 emission fluxes from ground source fugitive dust with emphasis on Owens (dry) Lake soils. [D] . Roney, Jason Andrew. 2001

机译：物理模型和数值模拟导致地源性扬尘产生高PM10排放通量的因素，重点是欧文斯（干）湖土。
6. Estimating ground-level PM10 using satellite remote sensing and ground-based meteorological measurements over Tehran [O] . Saeed Sotoudeheian, Mohammad Arhami -1

机译：使用卫星遥感和德黑兰的地面气象测量来估算地面PM10
7. Meteorological Elements Used in the Numerical Forecast of PM10 Over the Romanian Territory [O] . Maco Bogdan Alexandru, Ionac Nicoleta, Dumitrache Rodica Claudia 2016

机译：气象要素在罗马尼亚地区pm10数值预报中的应用
8. Numerically Integrated Orbits of the Major Saturnian Satellites fit to Earthbased Observations [R] . Jacobson, R. A., Vaughan, R. M. 1993

机译：主要土星卫星的数值综合轨道适合基于地球的观测

Study on the influence of ground and satellite observations on the numerical air-quality for PM10 over Romanian territory

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