Development of a custom OMI NO 2 data product for evaluating biases in a regional chemistry transport model
Gerrit Kuhlmann,Gerrit Kuhlmann,Yun Fat Lam,H. M. Cheung,Andreas Hartl,Jimmy Chi Hung Fung,Pak Wai Chan,Mark Wenig +7 more
TLDR
In this paper, the authors presented the custom Hong Kong NO2 retrieval for the Ozone Monitoring Instrument (OMI) on board the Aura satellite which was used to evaluate a high-resolution chemistry transport model (CTM) (3 km × 3 km spatial resolution).Abstract:
. In this paper, we present the custom Hong Kong NO2 retrieval (HKOMI) for the Ozone Monitoring Instrument (OMI) on board the Aura satellite which was used to evaluate a high-resolution chemistry transport model (CTM) (3 km × 3 km spatial resolution). The atmospheric chemistry transport was modelled in the Pearl River Delta (PRD) region in southern China by the Models-3 Community Multiscale Air Quality (CMAQ) modelling system from October 2006 to January 2007. In the HKOMI NO2 retrieval, tropospheric air mass factors (AMFs) were recalculated using high-resolution ancillary parameters of surface reflectance, a priori NO2 and aerosol profiles, of which the latter two were taken from the CMAQ simulation. We tested the influence of the ancillary parameters on the data product using four different aerosol parametrizations. Ground-level measurements by the PRD Regional Air Quality Monitoring (RAQM) network were used as additional independent measurements. The HKOMI retrieval increases estimated tropospheric NO2 vertical column densities (VCD) by (+31 ± 38)%, when compared to NASA's standard product (OMNO2-SP), and improves the normalized mean bias (NMB) between satellite and ground observations by 26 percentage points from −41 to −15%. The individual influences of the parameters are (+11.4 ± 13.4)% for NO2 profiles, (+11.0 ± 20.9)% for surface reflectance and (+6.0 ± 8.4)% for the best aerosol parametrization. The correlation coefficient r is low between ground and satellite observations (r = 0.35). The low r and the remaining NMB can be explained by the low model performance and the expected differences when comparing point measurements with area-averaged satellite observations. The correlation between CMAQ and the RAQM network is low (r ≈ 0.3) and the model underestimates the NO2 concentrations in the northwestern model domain (Foshan and Guangzhou). We compared the CMAQ NO2 time series of the two main plumes with our best OMI NO2 data set (HKOMI-4). The model overestimates the NO2 VCDs by about 15% in Hong Kong and Shenzhen, while the correlation coefficient is satisfactory (r = 0.56). In Foshan and Guangzhou, the correlation is low (r = 0.37) and the model underestimates the VCDs strongly (NMB = −40%). In addition, we estimated that the OMI VCDs are also underestimated by about 10 to 20% in Foshan and Guangzhou because of the influence of the model parameters on the AMFs. In this study, we demonstrate that the HKOMI NO2 retrieval reduces the bias of the satellite observations and how the data set can be used to study the magnitude of NO2 concentrations in a regional model at high spatial resolution of 3 × 3 km2. The low bias was achieved with recalculated AMFs using updated surface reflectance, aerosol profiles and NO2 profiles. Since unbiased concentrations are important, for example, in air pollution studies, the results of this paper can be very helpful in future model evaluation studies.read more
Citations
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An inventory of gaseous and primary aerosol emissions in Asia in the year 2000 : NASA global tropospheric experiment transport and chemical evolution over the pacific (TRACE-P): Measurements and analysis (TRACEP1)
David G. Streets,Tami C. Bond,G. R. Carrnichael,Suneeta D. Fernandes,Q. Fu,D. He,Zbigniew Klimont,S. M. Nelson,Nancy Y. Tsai,Michael Wang,Jung-Hun Woo,K. F. Yarber +11 more
TL;DR: In this paper, an inventory of air pollutant emissions in Asia in the year 2000 is developed to support atmospheric modeling and analysis of observations taken during the TRACE-P experiment funded by the National Aeronautics and Space Administration (NASA) and the ACE-Asia experiment, in which emissions are estimated for all major anthropogenic sources, including biomass burning, in 64 regions of Asia.
Journal ArticleDOI
The version 3 OMI NO 2 standard product
Nickolay A. Krotkov,Lok N. Lamsal,Lok N. Lamsal,Edward A. Celarier,Edward A. Celarier,William H. Swartz,William H. Swartz,Sergey Marchenko,Eric Bucsela,Kalok Chan,Mark Wenig,Marina Zara +11 more
TL;DR: In this article, the authors describe the new version 3.0 NASA Ozone Monitoring Instrument (OMI) standard nitrogen dioxide (NO2) products (SPv3) from the NASA Goddard Earth Sciences Data and Information Services Center ( https://disc.gsfc.nasa.gov/datasets/OMNO2_V003/summary/ ).
Journal ArticleDOI
Structural uncertainty in air mass factor calculation for NO2 and HCHO satellite retrievals
Alba Lorente,K. Folkert Boersma,K. Folkert Boersma,Huan Yu,Steffen Dörner,Andreas Hilboll,Andreas Richter,Mengyao Liu,Lok N. Lamsal,M. P. Barkley,Isabelle De Smedt,Michel Van Roozendael,Yang Wang,Thomas Wagner,Steffen Beirle,Jintai Lin,Nickolay A. Krotkov,Piet Stammes,Ping Wang,Henk Eskes,Maarten Krol,Maarten Krol,Maarten Krol +22 more
TL;DR: In this article, a detailed comparison of AMF calculation methods that are structurally different between seven retrieval groups for measurements from the Ozone Monitoring Instrument (OMI) is presented.
Journal ArticleDOI
Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments
Lok N. Lamsal,Lok N. Lamsal,Nickolay A. Krotkov,Alexander Vasilkov,Sergey Marchenko,Wenhan Qin,Eun-Su Yang,Zachary Fasnacht,Joanna Joiner,Sungyeon Choi,David Haffner,William H. Swartz,B. L. Fisher,Eric Bucsela +13 more
TL;DR: In this paper, a new and improved version (V4.0) of the NASA standard NO 2 product from the Ozone Monitoring Instrument (OMI) on the Paula satellite is presented, which enhances the NO 2 data quality through improvements to the air mass factors used in the retrieval algorithm.
Journal ArticleDOI
A top-down assessment using OMI NO 2 suggests an underestimate in the NO x emissions inventory in Seoul, South Korea, during KORUS-AQ
Daniel L. Goldberg,Daniel L. Goldberg,Pablo E. Saide,Lok N. Lamsal,Lok N. Lamsal,Benjamin de Foy,Zifeng Lu,Zifeng Lu,Jung-Hun Woo,Younha Kim,Jinseok Kim,Meng Gao,Gregory R. Carmichael,David G. Streets,David G. Streets +14 more
TL;DR: In this paper, the authors investigated the NOx emissions inventory in South Korea using a regional ozone monitoring instrument (OMI) and derived a regional NO2 product by recalculating the air mass factor using a high-resolution (4 km × 4 km) WRF-Chem model, which better captures the NO2 profile shapes in urban neighborhoods.
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