Articles | Volume 13, issue 3
https://doi.org/10.5194/amt-13-1033-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-1033-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Mar 2020
Research article |
| 04 Mar 2020
| 04 Mar 2020
Evaluation of cloud properties from reanalyses over East Asia with a radiance-based approach
Bin Yao
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing, 210044, China
Key Laboratory for Aerosol-Cloud-Precipitation, China Meteorological
Administration, School of Atmospheric Physics, Nanjing University of
Information Science and Technology, Nanjing, 210044, China
Chao Liu
CORRESPONDING AUTHOR
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing, 210044, China
Key Laboratory for Aerosol-Cloud-Precipitation, China Meteorological
Administration, School of Atmospheric Physics, Nanjing University of
Information Science and Technology, Nanjing, 210044, China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing, 210044, China
Key Laboratory for Aerosol-Cloud-Precipitation, China Meteorological
Administration, School of Atmospheric Physics, Nanjing University of
Information Science and Technology, Nanjing, 210044, China
Zhiquan Liu
National Center for Atmospheric Research, Boulder, CO 80301, USA
Chunxiang Shi
National Meteorological Information Center, China Meteorological
Administration, Beijing, 100081, China
Hironobu Iwabuchi
Center for Atmospheric and Oceanic Studies, Graduate School of
Science, Tohoku University, Sendai, Miyagi, 980-8578, Japan
Fuzhong Weng
Chinese Academy of Meteorological Sciences, Beijing, 100081, China
Related authors
Yifan Huang, Chao Liu, Bin Yao, Yan Yin, and Lei Bi
Atmos. Chem. Phys., 20, 2865–2876, https://doi.org/10.5194/acp-20-2865-2020, https://doi.org/10.5194/acp-20-2865-2020, 2020
Short summary
Short summary
Dust optical properties are necessary to quantify aerosol radiative effects and to retrieve their properties. This study reveals the importance of the dust refractive index (RI) for the model development of its optical properties. Our results indicate that the scattering matrix elements of different dust particles can be reasonably reproduced by choosing appropriate RIs but a fixed particle geometry, and the RI influences the scattering matrix elements differently from geometric factors.
Yueyue Cheng, Chao Liu, Jiandong Wang, Jiaping Wang, Zhouyang Zhang, Li Chen, Dafeng Ge, Caijun Zhu, Jinbo Wang, and Aijun Ding
Atmos. Chem. Phys., 24, 3065–3078, https://doi.org/10.5194/acp-24-3065-2024, https://doi.org/10.5194/acp-24-3065-2024, 2024
Short summary
Short summary
Brown carbon (BrC), a light-absorbing aerosol, plays a pivotal role in influencing global climate. However, assessing BrC radiative effects remains challenging because the required observational data are hardly accessible. Here we develop a new BrC radiative effect estimation method combining conventional observations and numerical models. Our findings reveal that BrC absorbs up to a third of the sunlight at 370 nm that black carbon does, highlighting its importance in aerosol radiative effects.
He Huang, Quan Wang, Chao Liu, and Chen Zhou
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-36, https://doi.org/10.5194/amt-2024-36, 2024
Preprint under review for AMT
Short summary
Short summary
This study introduces a cloud property retrieval method which integrates traditional radiative transfer simulations with a machine-learning method. Retrievals from a machine learning algorithm are used to provide initial guesses, and a radiative transfer model is used to create radiance lookup tables for later iteration processes. The new method combines the advantages of traditional and machine learning algorithms, and is applicable both daytime and nighttime conditions.
Eui-Jong Kang, Byung-Ju Sohn, Sang-Woo Kim, Wonho Kim, Young-Cheol Kwon, Seung-Bum Kim, Hyoung-Wook Chun, and Chao Liu
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-23, https://doi.org/10.5194/gmd-2024-23, 2024
Preprint under review for GMD
Short summary
Short summary
The recently available ERA5 hourly ocean skin temperature (Tint) data is expected to be valuable for various science studies. However, when analyzing the hourly variations of Tint, questions arise about its reliability, the deficiency of which may be related to errors in the ocean mixed layer (OML) model. To address this, we reexamined and corrected significant errors in the OML model. Validation of the simulated SST using the revised OML model against observations demonstrated good agreement.
Jonathan J. Guerrette, Zhiquan Liu, Chris Snyder, Byoung-Joo Jung, Craig S. Schwartz, Junmei Ban, Steven Vahl, Yali Wu, Ivette Hernández Baños, Yonggang G. Yu, Soyoung Ha, Yannick Trémolet, Thomas Auligné, Clementine Gas, Benjamin Ménétrier, Anna Shlyaeva, Mark Miesch, Stephen Herbener, Emily Liu, Daniel Holdaway, and Benjamin T. Johnson
Geosci. Model Dev., 16, 7123–7142, https://doi.org/10.5194/gmd-16-7123-2023, https://doi.org/10.5194/gmd-16-7123-2023, 2023
Short summary
Short summary
We demonstrate an ensemble of variational data assimilations (EDA) with the Model for Prediction Across Scales and the Joint Effort for Data assimilation Integration (JEDI) software framework. When compared to 20-member ensemble forecasts from operational initial conditions, those from 80-member EDA-generated initial conditions improve flow-dependent error covariances and subsequent 10 d forecasts. These experiments are repeatable for any atmospheric model with a JEDI interface.
Naifu Shao, Chunsong Lu, Xingcan Jia, Yuan Wang, Yubin Li, Yan Yin, Bin Zhu, Tianliang Zhao, Duanyang Liu, Shengjie Niu, Shuxian Fan, Shuqi Yan, and Jingjing Lv
Atmos. Chem. Phys., 23, 9873–9890, https://doi.org/10.5194/acp-23-9873-2023, https://doi.org/10.5194/acp-23-9873-2023, 2023
Short summary
Short summary
Fog is an important meteorological phenomenon that affects visibility. Aerosols and the planetary boundary layer (PBL) play critical roles in the fog life cycle. In this study, aerosol-induced changes in fog properties become more remarkable in the second fog (Fog2) than in the first fog (Fog1). The reason is that aerosol–cloud interaction (ACI) delays Fog1 dissipation, leading to the PBL meteorological conditions being more conducive to Fog2 formation and to stronger ACI in Fog2.
Byoung-Joo Jung, Benjamin Ménétrier, Chris Snyder, Zhiquan Liu, Jonathan J. Guerrette, Junmei Ban, Ivette Hernández Baños, Yonggang G. Yu, and William C. Skamarock
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-131, https://doi.org/10.5194/gmd-2023-131, 2023
Revised manuscript accepted for GMD
Short summary
Short summary
We described the multivariate static background error covariance (B) for JEDI-MPAS 3DVar data assimilation system. With a tuned B parameters, the multivariate B gives a physically-balanced analysis increment fields in the single observation test framework. In the month-long cycling experiment with global 60 km mesh, the 3DVar with static B performs stable. Due to its simple workflow and minimal computational requirements, the JEDI-MPAS 3DVar can be useful for the research community.
Xiumei Zhang, Ronald van der A, Jieying Ding, Xin Zhang, and Yan Yin
Atmos. Chem. Phys., 23, 5587–5604, https://doi.org/10.5194/acp-23-5587-2023, https://doi.org/10.5194/acp-23-5587-2023, 2023
Short summary
Short summary
We compiled a ship emission inventory based on automatic identification system (AIS) signals in the Jiangsu section of the Yangtze River. This ship emission inventory was compared with Chinese bottom-up inventories and the satellite-derived emissions from TROPOMI. The result shows a consistent spatial distribution, with riverine cities having high NOx emissions. Inland ship emissions of NOx are shown to contribute at least 40 % to air pollution along the river.
Hong Chen, K. Sebastian Schmidt, Steven T. Massie, Vikas Nataraja, Matthew S. Norgren, Jake J. Gristey, Graham Feingold, Robert E. Holz, and Hironobu Iwabuchi
Atmos. Meas. Tech., 16, 1971–2000, https://doi.org/10.5194/amt-16-1971-2023, https://doi.org/10.5194/amt-16-1971-2023, 2023
Short summary
Short summary
We introduce the Education and Research 3D Radiative Transfer Toolbox (EaR3T) and propose a radiance self-consistency approach for quantifying and mitigating 3D bias in legacy airborne and spaceborne imagery retrievals due to spatially inhomogeneous clouds and surfaces.
Zhiquan Liu, Chris Snyder, Jonathan J. Guerrette, Byoung-Joo Jung, Junmei Ban, Steven Vahl, Yali Wu, Yannick Trémolet, Thomas Auligné, Benjamin Ménétrier, Anna Shlyaeva, Stephen Herbener, Emily Liu, Daniel Holdaway, and Benjamin T. Johnson
Geosci. Model Dev., 15, 7859–7878, https://doi.org/10.5194/gmd-15-7859-2022, https://doi.org/10.5194/gmd-15-7859-2022, 2022
Short summary
Short summary
JEDI-MPAS 1.0.0, a new data assimilation (DA) system for the MPAS model, was publicly released for community use. This article describes JEDI-MPAS's implementation of the ensemble–variational DA technique and demonstrates its robustness and credible performance by incrementally adding three types of microwave radiances (clear-sky AMSU-A, all-sky AMSU-A, clear-sky MHS) to a non-radiance DA experiment. We intend to periodically release new and improved versions of JEDI-MPAS in upcoming years.
Vikas Nataraja, Sebastian Schmidt, Hong Chen, Takanobu Yamaguchi, Jan Kazil, Graham Feingold, Kevin Wolf, and Hironobu Iwabuchi
Atmos. Meas. Tech., 15, 5181–5205, https://doi.org/10.5194/amt-15-5181-2022, https://doi.org/10.5194/amt-15-5181-2022, 2022
Short summary
Short summary
A convolutional neural network (CNN) is introduced to retrieve cloud optical thickness (COT) from passive cloud imagery. The CNN, trained on large eddy simulations from the Sulu Sea, learns from spatial information at multiple scales to reduce cloud inhomogeneity effects. By considering the spatial context of a pixel, the CNN outperforms the traditional independent pixel approximation (IPA) across several cloud morphology metrics.
You Zhao, Chao Liu, Di Di, Ziqiang Ma, and Shihao Tang
Atmos. Meas. Tech., 15, 2791–2805, https://doi.org/10.5194/amt-15-2791-2022, https://doi.org/10.5194/amt-15-2791-2022, 2022
Short summary
Short summary
A typhoon is a high-impact atmospheric phenomenon that causes most significant socioeconomic damage, and its precipitation observation is always needed for typhoon characteristics and disaster prevention. This study developed a typhoon precipitation fusion method to combine observations from satellite radiometers, rain gauges and reanalysis to provide much improved typhoon precipitation datasets.
Xin Zhang, Yan Yin, Ronald van der A, Henk Eskes, Jos van Geffen, Yunyao Li, Xiang Kuang, Jeff L. Lapierre, Kui Chen, Zhongxiu Zhen, Jianlin Hu, Chuan He, Jinghua Chen, Rulin Shi, Jun Zhang, Xingrong Ye, and Hao Chen
Atmos. Chem. Phys., 22, 5925–5942, https://doi.org/10.5194/acp-22-5925-2022, https://doi.org/10.5194/acp-22-5925-2022, 2022
Short summary
Short summary
The importance of convection to the ozone and nitrogen oxides (NOx) produced from lightning has long been an open question. We utilize the high-resolution chemistry model with ozonesondes and space observations to discuss the effects of convection over southeastern China, where few studies have been conducted. Our results show the transport and chemistry contributions for various storms and demonstrate the ability of TROPOMI to estimate the lightning NOx production over small-scale convection.
Jiandong Wang, Jia Xing, Shuxiao Wang, Rohit Mathur, Jiaping Wang, Yuqiang Zhang, Chao Liu, Jonathan Pleim, Dian Ding, Xing Chang, Jingkun Jiang, Peng Zhao, Shovan Kumar Sahu, Yuzhi Jin, David C. Wong, and Jiming Hao
Atmos. Chem. Phys., 22, 5147–5156, https://doi.org/10.5194/acp-22-5147-2022, https://doi.org/10.5194/acp-22-5147-2022, 2022
Short summary
Short summary
Aerosols reduce surface solar radiation and change the photolysis rate and planetary boundary layer stability. In this study, the online coupled meteorological and chemistry model was used to explore the detailed pathway of how aerosol direct effects affect secondary inorganic aerosol. The effects through the dynamics pathway act as an equally or even more important route compared with the photolysis pathway in affecting secondary aerosol concentration in both summer and winter.
Shihan Chen, Yuanjian Yang, Fei Deng, Yanhao Zhang, Duanyang Liu, Chao Liu, and Zhiqiu Gao
Atmos. Meas. Tech., 15, 735–756, https://doi.org/10.5194/amt-15-735-2022, https://doi.org/10.5194/amt-15-735-2022, 2022
Short summary
Short summary
This paper proposes a method for evaluating canopy UHI intensity (CUHII) at high resolution by using remote sensing data and machine learning with a random forest (RF) model. The spatial distribution of CUHII was evaluated at 30 m resolution based on the output of the RF model. The present RF model framework for real-time monitoring and assessment of high-resolution CUHII provides scientific support for studying the changes and causes of CUHII.
Xinyan Li, Yuanjian Yang, Jiaqin Mi, Xueyan Bi, You Zhao, Zehao Huang, Chao Liu, Lian Zong, and Wanju Li
Atmos. Meas. Tech., 14, 7007–7023, https://doi.org/10.5194/amt-14-7007-2021, https://doi.org/10.5194/amt-14-7007-2021, 2021
Short summary
Short summary
A random forest (RF) model framework for Fengyun-4A (FY-4A) daytime and nighttime quantitative precipitation estimation (QPE) is established using FY-4A multi-band spectral information, cloud parameters, high-density precipitation observations and physical quantities from reanalysis data. The RF model of FY-4A QPE has a high accuracy in estimating precipitation at the heavy-rain level or below, which has advantages for quantitative estimation of summer precipitation over East Asia in future.
Xinghong Cheng, Zilong Hao, Zengliang Zang, Zhiquan Liu, Xiangde Xu, Shuisheng Wang, Yuelin Liu, Yiwen Hu, and Xiaodan Ma
Atmos. Chem. Phys., 21, 13747–13761, https://doi.org/10.5194/acp-21-13747-2021, https://doi.org/10.5194/acp-21-13747-2021, 2021
Short summary
Short summary
We develop a new inversion method of emission sources based on sensitivity analysis and the three-dimension variational technique. The novel explicit observation operator matrix between emission sources and the receptor’s concentrations is established. Then this method is applied to a typical heavy haze episode in North China, and spatiotemporal variations of SO2, NO2, and O3 concentrations simulated using a posterior emission sources are compared with results using an a priori inventory.
Yongkang Xue, Tandong Yao, Aaron A. Boone, Ismaila Diallo, Ye Liu, Xubin Zeng, William K. M. Lau, Shiori Sugimoto, Qi Tang, Xiaoduo Pan, Peter J. van Oevelen, Daniel Klocke, Myung-Seo Koo, Tomonori Sato, Zhaohui Lin, Yuhei Takaya, Constantin Ardilouze, Stefano Materia, Subodh K. Saha, Retish Senan, Tetsu Nakamura, Hailan Wang, Jing Yang, Hongliang Zhang, Mei Zhao, Xin-Zhong Liang, J. David Neelin, Frederic Vitart, Xin Li, Ping Zhao, Chunxiang Shi, Weidong Guo, Jianping Tang, Miao Yu, Yun Qian, Samuel S. P. Shen, Yang Zhang, Kun Yang, Ruby Leung, Yuan Qiu, Daniele Peano, Xin Qi, Yanling Zhan, Michael A. Brunke, Sin Chan Chou, Michael Ek, Tianyi Fan, Hong Guan, Hai Lin, Shunlin Liang, Helin Wei, Shaocheng Xie, Haoran Xu, Weiping Li, Xueli Shi, Paulo Nobre, Yan Pan, Yi Qin, Jeff Dozier, Craig R. Ferguson, Gianpaolo Balsamo, Qing Bao, Jinming Feng, Jinkyu Hong, Songyou Hong, Huilin Huang, Duoying Ji, Zhenming Ji, Shichang Kang, Yanluan Lin, Weiguang Liu, Ryan Muncaster, Patricia de Rosnay, Hiroshi G. Takahashi, Guiling Wang, Shuyu Wang, Weicai Wang, Xu Zhou, and Yuejian Zhu
Geosci. Model Dev., 14, 4465–4494, https://doi.org/10.5194/gmd-14-4465-2021, https://doi.org/10.5194/gmd-14-4465-2021, 2021
Short summary
Short summary
The subseasonal prediction of extreme hydroclimate events such as droughts/floods has remained stubbornly low for years. This paper presents a new international initiative which, for the first time, introduces spring land surface temperature anomalies over high mountains to improve precipitation prediction through remote effects of land–atmosphere interactions. More than 40 institutions worldwide are participating in this effort. The experimental protocol and preliminary results are presented.
Lian Zong, Yuanjian Yang, Meng Gao, Hong Wang, Peng Wang, Hongliang Zhang, Linlin Wang, Guicai Ning, Chao Liu, Yubin Li, and Zhiqiu Gao
Atmos. Chem. Phys., 21, 9105–9124, https://doi.org/10.5194/acp-21-9105-2021, https://doi.org/10.5194/acp-21-9105-2021, 2021
Short summary
Short summary
In recent years, summer O3 pollution over eastern China has become more serious, and it is even the case that surface O3 and PM2.5 pollution can co-occur. However, the synoptic weather pattern (SWP) related to this compound pollution remains unclear. Regional PM2.5 and O3 compound pollution is characterized by various SWPs with different dominant factors. Our findings provide insights into the regional co-occurring high PM2.5 and O3 levels via the effects of certain meteorological factors.
Bin Liu, Zhenghui Xie, Shuang Liu, Yujing Zeng, Ruichao Li, Longhuan Wang, Yan Wang, Binghao Jia, Peihua Qin, Si Chen, Jinbo Xie, and ChunXiang Shi
Hydrol. Earth Syst. Sci., 25, 387–400, https://doi.org/10.5194/hess-25-387-2021, https://doi.org/10.5194/hess-25-387-2021, 2021
Short summary
Short summary
We implemented both urban water use schemes in a model (Weather Research and Forecasting model) and assessed their cooling effects with different amounts of water in different parts of the city (center, suburbs, and rural areas) for both road sprinkling and urban irrigation by model simulation. Then, we developed an optimization scheme to find out the optimal water use strategies for mitigating high urban temperatures.
Xiaolin Zhang, Mao Mao, Yan Yin, and Shihao Tang
Atmos. Chem. Phys., 20, 9701–9711, https://doi.org/10.5194/acp-20-9701-2020, https://doi.org/10.5194/acp-20-9701-2020, 2020
Short summary
Short summary
The understanding of the absorption Ångstrom exponent (AAE) of aged black carbon (BC) particles affected by their microphysics is numerically evaluated. With key sensitive microphysical parameters, a simple parameterization of the AAE of coated BC with a size distribution is proposed. It is found that BC coated by thin brown carbon with more large particles shows an AAE smaller than pure BC particles. Our findings improve the understanding and application of the AAE of BC with brown coatings.
Wei Sun, Zhiquan Liu, Dan Chen, Pusheng Zhao, and Min Chen
Atmos. Chem. Phys., 20, 9311–9329, https://doi.org/10.5194/acp-20-9311-2020, https://doi.org/10.5194/acp-20-9311-2020, 2020
Short summary
Short summary
A new aerosol and gas pollutant assimilation capability is developed within the WRFDA system with the 3D variational algorithm and MOSAIC (Model for Simulating Aerosol Interactions and Chemistry) aerosol scheme. By assimilating surface PM2.5, PM10, SO2, NO2, O3, and CO, it improves 24 h air quality forecasting. Based on this system, model deficiencies are explored. Parameterization in the newly added inorganic aerosol heterogeneous reactions should be adjusted and verified by data assimilation.
Soyoung Ha, Zhiquan Liu, Wei Sun, Yonghee Lee, and Limseok Chang
Atmos. Chem. Phys., 20, 6015–6036, https://doi.org/10.5194/acp-20-6015-2020, https://doi.org/10.5194/acp-20-6015-2020, 2020
Short summary
Short summary
This study examines the effect of aerosol optical depth (AOD) retrieved from the Korean Geostationary Ocean Color Imager (GOCI) sensors on surface PM2.5 forecasts using the online coupled WRF-Chem forecasting model and the GSI 3D-Var analysis system. During the KORUS-AQ campaign period, the assimilation of GOCI AOD retrieved at the 550 nm wavelength greatly improved air quality forecasting up to 24 h when assimilated with surface PM2.5 observations, particularly for heavy pollution events.
Xin Zhang, Yan Yin, Ronald van der A, Jeff L. Lapierre, Qian Chen, Xiang Kuang, Shuqi Yan, Jinghua Chen, Chuan He, and Rulin Shi
Atmos. Meas. Tech., 13, 1709–1734, https://doi.org/10.5194/amt-13-1709-2020, https://doi.org/10.5194/amt-13-1709-2020, 2020
Short summary
Short summary
Lightning NOx has a strong impact on ozone and the hydroxyl radical production. However, the production efficiency of lightning NOx is still quite uncertain. This work develops the algorithm of estimating lightning NOx for both clean and polluted regions and evaluates the sensitivity of estimates to the model setting of lightning NO. Results reveal that our method reduces the sensitivity to the background NO2 and includes much of the below-cloud LNO2.
Yifan Huang, Chao Liu, Bin Yao, Yan Yin, and Lei Bi
Atmos. Chem. Phys., 20, 2865–2876, https://doi.org/10.5194/acp-20-2865-2020, https://doi.org/10.5194/acp-20-2865-2020, 2020
Short summary
Short summary
Dust optical properties are necessary to quantify aerosol radiative effects and to retrieve their properties. This study reveals the importance of the dust refractive index (RI) for the model development of its optical properties. Our results indicate that the scattering matrix elements of different dust particles can be reasonably reproduced by choosing appropriate RIs but a fixed particle geometry, and the RI influences the scattering matrix elements differently from geometric factors.
Jun Yang, Fuzhong Weng, Hao Hu, and Peiming Dong
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-447, https://doi.org/10.5194/amt-2019-447, 2019
Preprint withdrawn
Short summary
Short summary
A machine learning technique is used to generate the two missing low frequency channels of FY-3D microwave temperature and humidity sounders. A statistical inversion method is adopted to retrieve total precipitable water vapor and cloud liquid water path over ocean from the FY-3D microwave data. The inter-comparison between different satellites shows that the inversion products of FY-3D and Suomi NPP ATMS have good consistency in magnitude and distribution.
Pradeep Khatri, Hironobu Iwabuchi, Tadahiro Hayasaka, Hitoshi Irie, Tamio Takamura, Akihiro Yamazaki, Alessandro Damiani, Husi Letu, and Qin Kai
Atmos. Meas. Tech., 12, 6037–6047, https://doi.org/10.5194/amt-12-6037-2019, https://doi.org/10.5194/amt-12-6037-2019, 2019
Short summary
Short summary
In an attempt to make cloud retrievals from the surface more common and convenient, we developed a cloud retrieval algorithm applicable for sky radiometers. It is based on an optimum method by fitting measured transmittances with modeled values. Further, a cost-effective and easy-to-use calibration procedure is proposed and validated using data obtained from the standard method. A detailed error analysis and quality assessment are also performed.
Shizhang Wang and Zhiquan Liu
Geosci. Model Dev., 12, 4031–4051, https://doi.org/10.5194/gmd-12-4031-2019, https://doi.org/10.5194/gmd-12-4031-2019, 2019
Short summary
Short summary
A reflectivity operator was developed for directly assimilating radar reflectivity involving contributions from ice species with the variational data assimilation method. Its current version was implemented in WRFDA 3.9.1. This operator allows for not only the dry snow/graupel but also the wet species so that it can effectively obtain the rainwater, snow, and graupel analysis which improved the short-term precipitation forecasts compared to those of the experiment without DA.
Hailing Jia, Xiaoyan Ma, Johannes Quaas, Yan Yin, and Tom Qiu
Atmos. Chem. Phys., 19, 8879–8896, https://doi.org/10.5194/acp-19-8879-2019, https://doi.org/10.5194/acp-19-8879-2019, 2019
Short summary
Short summary
We systematically assess how and to what extent satellite retrieval biases may affect correlations, as well as explore the underlying physical mechanisms. It is noted that the retrieval biases of both cloud and aerosol can result in a serious overestimation of the slope of CER–AI. Positive correlations more likely to occur in the case of drier cloud top and stronger turbulence in clouds, implying entrainment mixing might be a possible physical interpretation for such a positive CER–AI slope.
Dan Chen, Zhiquan Liu, Junmei Ban, and Min Chen
Atmos. Chem. Phys., 19, 8619–8650, https://doi.org/10.5194/acp-19-8619-2019, https://doi.org/10.5194/acp-19-8619-2019, 2019
Short summary
Short summary
We updated the WRF/Chem-EnKF DA system to quantitatively estimate SO2 emissions using hourly surface observations as constraints. The 2010 MEIC prior emissions were used to generate January 2015 and 2016 analyzed emissions, which revealed inhomogeneous SO2 emission changes for northern, western, and southern China. These changes were related to facts in reality, indicating that the updated DA system was capable of detecting emission deficiencies and optimizing emissions.
Dan Chen, Zhiquan Liu, Junmei Ban, Pusheng Zhao, and Min Chen
Atmos. Chem. Phys., 19, 7409–7427, https://doi.org/10.5194/acp-19-7409-2019, https://doi.org/10.5194/acp-19-7409-2019, 2019
Short summary
Short summary
To better characterize the anthropogenic emission-relevant aerosol species, the GSI-WRF/Chem data assimilation system was updated from GOCART to MOSAIC-4BIN scheme. Wintertime 2015–2017 (January) surface PM2.5 observations from more than 1600 sites were assimilated hourly. The observations and reanalysis data from the assimilation experiment were used to investigate year-to-year changes. Roles of emission and meteorology in driving the changes were also distinguished and quantitatively assessed.
Xiaolin Zhang, Mao Mao, and Yan Yin
Atmos. Chem. Phys., 19, 7507–7518, https://doi.org/10.5194/acp-19-7507-2019, https://doi.org/10.5194/acp-19-7507-2019, 2019
Short summary
Short summary
The understanding of the exactly retrieved optically effective aerosol complex refractive index (ACRI) of aged BC affected by their microphysics is numerically evaluated. A simple new ACRI parameterization for heavily coated BC in coarse mode is then proposed. We suggest that, to produce reliable estimates of BC radiative forcing in aerosol–climate models, the optically effective ACRI, rather than the ACRI given by the VWA, appears to be essential, especially for coarse coated BC particles.
Shiwen Teng, Chao Liu, Martin Schnaiter, Rajan K. Chakrabarty, and Fengshan Liu
Atmos. Chem. Phys., 19, 2917–2931, https://doi.org/10.5194/acp-19-2917-2019, https://doi.org/10.5194/acp-19-2917-2019, 2019
Short summary
Short summary
Black carbon (BC) possesses complex minor structures besides the overall aggregate geometry, thus altering their optical properties. This study introduces volume variation to quantify and unify different minor structures and develops an empirical relation to account for their effects on BC optical properties. We find the effects of minor structures are mainly contributed by their influence on particle volume/mass, and a relative difference of 5 % is noticed after removing volume differences.
Zhen Peng, Lili Lei, Zhiquan Liu, Jianning Sun, Aijun Ding, Junmei Ban, Dan Chen, Xingxia Kou, and Kekuan Chu
Atmos. Chem. Phys., 18, 17387–17404, https://doi.org/10.5194/acp-18-17387-2018, https://doi.org/10.5194/acp-18-17387-2018, 2018
Short summary
Short summary
An EnKF system was developed to simultaneously assimilate multiple surface measurements, including PM10, PM2.5, SO2, NO2, O3, and CO, via the joint adjustment of ICs and source emissions. Large improvements were achieved in the first 24 h forecast for PM2.5, PM10, SO2, and CO during an extreme haze episode that occurred in early October 2014 over the North China Plain, but no improvements were achieved for NO2 and O3.
Emma Järvinen, Olivier Jourdan, David Neubauer, Bin Yao, Chao Liu, Meinrat O. Andreae, Ulrike Lohmann, Manfred Wendisch, Greg M. McFarquhar, Thomas Leisner, and Martin Schnaiter
Atmos. Chem. Phys., 18, 15767–15781, https://doi.org/10.5194/acp-18-15767-2018, https://doi.org/10.5194/acp-18-15767-2018, 2018
Short summary
Short summary
Using light diffraction it is possible to detect microscopic features within ice particles that have not yet been fully characterized. Here, this technique was applied in airborne measurements, where it was found that majority of atmospheric ice particles have features that significantly change the way ice particles interact with solar light. The microscopic features make ice-containing clouds more reflective than previously thought, which could have consequences for predicting our climate.
Chao Liu, Chul Eddy Chung, Yan Yin, and Martin Schnaiter
Atmos. Chem. Phys., 18, 6259–6273, https://doi.org/10.5194/acp-18-6259-2018, https://doi.org/10.5194/acp-18-6259-2018, 2018
Short summary
Short summary
The absorption Ångström exponent (AAE) of black carbon (BC) is widely accepted to be 1.0, although observational estimates give a quite wide range of 0.6–1.1. This study investigates BC AAE numerically using realistic particle properties and accurate numerical models. The significantly influence of BC microphysical properties on BC AAE is revealed by simple linear formulas, and the widely accepted BC AAE value of 1.0 is not correct for even small BC with wavelength-independent refractive index.
Rintaro Okamura, Hironobu Iwabuchi, and K. Sebastian Schmidt
Atmos. Meas. Tech., 10, 4747–4759, https://doi.org/10.5194/amt-10-4747-2017, https://doi.org/10.5194/amt-10-4747-2017, 2017
Short summary
Short summary
Three-dimensional (3-D) radiative transfer effects are a major source of retrieval errors in satellite-based optical remote sensing of clouds. Multi-pixel, multispectral approaches based on deep learning are proposed for retrieval of cloud optical thickness and droplet effective radius. A feasibility test shows that proposed retrieval methods are effective to obtain accurate cloud properties. Use of the convolutional neural network is effective to reduce 3-D radiative transfer effects.
Dan Chen, Zhiquan Liu, Chris Davis, and Yu Gu
Atmos. Chem. Phys., 17, 7917–7939, https://doi.org/10.5194/acp-17-7917-2017, https://doi.org/10.5194/acp-17-7917-2017, 2017
Short summary
Short summary
Saharan dust influences Atlantic TC genesis, but the relationship and mechanisms are not fully understood. This study investigated the dust radiative effects on atmospheric thermodynamics and tropical cyclogenesis over the Atlantic Ocean using WRF-Chem coupled with an aerosol data assimilation system. Both statistics and a case study revealed that low-altitude (high-altitude) dust inhibits (favors) convection owing to changes in convective inhibition. Semi-direct effects were also noted.
Zhen Peng, Zhiquan Liu, Dan Chen, and Junmei Ban
Atmos. Chem. Phys., 17, 4837–4855, https://doi.org/10.5194/acp-17-4837-2017, https://doi.org/10.5194/acp-17-4837-2017, 2017
Short summary
Short summary
In order to improve the forecasting of atmospheric aerosols over China, the ensemble square root filter algorithm was extended to simultaneously optimize the chemical initial conditions and primary and precursor emissions. This system was applied to assimilate hourly surface PM2.5 measurements. The forecasts with the optimized initial conditions and emissions typically outperformed those from the control experiment without data assimilation.
Shi Song, K. Sebastian Schmidt, Peter Pilewskie, Michael D. King, Andrew K. Heidinger, Andi Walther, Hironobu Iwabuchi, Gala Wind, and Odele M. Coddington
Atmos. Chem. Phys., 16, 13791–13806, https://doi.org/10.5194/acp-16-13791-2016, https://doi.org/10.5194/acp-16-13791-2016, 2016
Short summary
Short summary
The radiative effects of spatially complex cloud fields are notoriously difficult to estimate and are afflicted with errors up to ±50 % of the incident solar radiation. We find that horizontal photon transport, the leading cause for these three-dimensional effects, manifests itself through a spectral fingerprint – a new observable that holds promise for reducing the errors associated with spatial complexity by moving the problem to the spectral dimension.
Dan Chen, Zhiquan Liu, Jerome Fast, and Junmei Ban
Atmos. Chem. Phys., 16, 10707–10724, https://doi.org/10.5194/acp-16-10707-2016, https://doi.org/10.5194/acp-16-10707-2016, 2016
Short summary
Short summary
Extreme haze events occurred frequently over China recently, and adequately predicting peak PM2.5 concentrations is still challenging. In this study, the sulfate–nitrate–ammonium relevant heterogeneous reactions were parameterized for the first time in the WRF-Chem model. We evaluated the performance of WRF-Chem and used the model to investigate the sensitivity of heterogeneous reactions on simulated peak sulfate, nitrate, and ammonium concentrations in the vicinity of Beijing during October 2014.
M. Saito and H. Iwabuchi
Atmos. Meas. Tech., 8, 4295–4311, https://doi.org/10.5194/amt-8-4295-2015, https://doi.org/10.5194/amt-8-4295-2015, 2015
Short summary
Short summary
A new algorithm for aerosol retrievals from twilight photographs taken by a digital single reflex-lens camera is developed. A radiative transfer model taking spherical-shell atmosphere, multiple scattering and refraction into account is used as a forward model, and the optimal estimation is used as an inversion calculation to infer the aerosol optical and radiative properties. The AOTs are inferred with small uncertainties and agree very well with that from the skyradiometer.
Q. Jiang, Y. L. Sun, Z. Wang, and Y. Yin
Atmos. Chem. Phys., 15, 6023–6034, https://doi.org/10.5194/acp-15-6023-2015, https://doi.org/10.5194/acp-15-6023-2015, 2015
Short summary
Short summary
Aerosol composition and sources during the Chinese spring festival are characterized in detail. The roles of fireworks and secondary aerosol in fine particle pollution were elucidated. We observed large reductions of primary species, whereas changes of secondary aerosol during the holiday period were minor. This has significant implications; reducing primary emissions on a local scale during severe haze episodes might have a limited effect on improving air quality in megacities.
S. F. Kong, L. Li, X. X. Li, Y. Yin, K. Chen, D. T. Liu, L. Yuan, Y. J. Zhang, Y. P. Shan, and Y. Q. Ji
Atmos. Chem. Phys., 15, 2167–2184, https://doi.org/10.5194/acp-15-2167-2015, https://doi.org/10.5194/acp-15-2167-2015, 2015
D. Chen, Z. Liu, C. S. Schwartz, H.-C. Lin, J. D. Cetola, Y. Gu, and L. Xue
Geosci. Model Dev., 7, 2709–2715, https://doi.org/10.5194/gmd-7-2709-2014, https://doi.org/10.5194/gmd-7-2709-2014, 2014
M. Pagowski, Z. Liu, G. A. Grell, M. Hu, H.-C. Lin, and C. S. Schwartz
Geosci. Model Dev., 7, 1621–1627, https://doi.org/10.5194/gmd-7-1621-2014, https://doi.org/10.5194/gmd-7-1621-2014, 2014
Y. Kanaya, H. Irie, H. Takashima, H. Iwabuchi, H. Akimoto, K. Sudo, M. Gu, J. Chong, Y. J. Kim, H. Lee, A. Li, F. Si, J. Xu, P.-H. Xie, W.-Q. Liu, A. Dzhola, O. Postylyakov, V. Ivanov, E. Grechko, S. Terpugova, and M. Panchenko
Atmos. Chem. Phys., 14, 7909–7927, https://doi.org/10.5194/acp-14-7909-2014, https://doi.org/10.5194/acp-14-7909-2014, 2014
P. E. Saide, G. R. Carmichael, Z. Liu, C. S. Schwartz, H. C. Lin, A. M. da Silva, and E. Hyer
Atmos. Chem. Phys., 13, 10425–10444, https://doi.org/10.5194/acp-13-10425-2013, https://doi.org/10.5194/acp-13-10425-2013, 2013
Related subject area
Subject: Clouds | Technique: In Situ Measurement | Topic: Validation and Intercomparisons
Applicability of the low-cost OPC-N3 optical particle counter for microphysical measurements of fog
A study of optical scattering modelling for mixed-phase polar stratospheric clouds
Technique for comparison of backscatter coefficients derived from in situ cloud probe measurements with concurrent airborne lidar
Intercomparison of holographic imaging and single-particle forward light scattering in situ measurements of liquid clouds in changing atmospheric conditions
Design and field campaign validation of a multi-rotor unmanned aerial vehicle and optical particle counter
In situ cloud ground-based measurements in the Finnish sub-Arctic: intercomparison of three cloud spectrometer setups
Laboratory and in-flight evaluation of measurement uncertainties from a commercial Cloud Droplet Probe (CDP)
A statistical comparison of cirrus particle size distributions measured using the 2-D stereo probe during the TC4, SPARTICUS, and MACPEX flight campaigns with historical cirrus datasets
Comparing the cloud vertical structure derived from several methods based on radiosonde profiles and ground-based remote sensing measurements
A comparison of light backscattering and particle size distribution measurements in tropical cirrus clouds
Cloud particle size distributions measured with an airborne digital in-line holographic instrument
Katarzyna Nurowska, Moein Mohammadi, Szymon Malinowski, and Krzysztof Markowicz
Atmos. Meas. Tech., 16, 2415–2430, https://doi.org/10.5194/amt-16-2415-2023, https://doi.org/10.5194/amt-16-2415-2023, 2023
Short summary
Short summary
In this paper we evaluate the low-cost Alphasense OPC-N3 optical particle counter for measurements of fog microphysics. We compare OPC-N3 with the Oxford Lasers VisiSize D30. This work is significant because OPC-N3 can be used with drones for vertical profiles in fog.
Francesco Cairo, Terry Deshler, Luca Di Liberto, Andrea Scoccione, and Marcel Snels
Atmos. Meas. Tech., 16, 419–431, https://doi.org/10.5194/amt-16-419-2023, https://doi.org/10.5194/amt-16-419-2023, 2023
Short summary
Short summary
The T-matrix theory was used to compute the backscatter and depolarization of mixed-phase PSC, assuming that particles are solid (NAT or possibly ice) above a threshold radius R and liquid (STS) below, and a single shape is common to all solid particles. We used a dataset of coincident lidar and balloon-borne backscattersonde and OPC measurements. The agreement between modelled and measured backscatter is reasonable and allows us to constrain the parameters R and AR.
Shawn Wendell Wagner and David James Delene
Atmos. Meas. Tech., 15, 6447–6466, https://doi.org/10.5194/amt-15-6447-2022, https://doi.org/10.5194/amt-15-6447-2022, 2022
Short summary
Short summary
Jet engine power loss due to ice accumulation is a hazard in high-altitude clouds. A potential tool for informing pilots when entering such clouds is an onboard lidar system. Lidar and wing-mounted probe backscatter coefficients agree within uncertainties for liquid clouds but not for ice clouds. The lidar measurements are correlated with total water content over a broad range of environments, which indicates that the lidar system is useful for detecting hazardous ice cloud conditions.
Petri Tiitta, Ari Leskinen, Ville A. Kaikkonen, Eero O. Molkoselkä, Anssi J. Mäkynen, Jorma Joutsensaari, Silvia Calderon, Sami Romakkaniemi, and Mika Komppula
Atmos. Meas. Tech., 15, 2993–3009, https://doi.org/10.5194/amt-15-2993-2022, https://doi.org/10.5194/amt-15-2993-2022, 2022
Short summary
Short summary
The novel holographic imaging instrument (ICEMET) was adapted to measure the microphysical properties of liquid clouds, and these values were compared with parallel measurements of a cloud droplet spectrometer (FM-120) and particle measurements using a twin-inlet system. When the intercomparison was carried out during isoaxial sampling, our results showed good agreement in terms of variability between the instruments. This agreement was confirmed using Mutual and Pearson correlation analyses.
Joseph Girdwood, Helen Smith, Warren Stanley, Zbigniew Ulanowski, Chris Stopford, Charles Chemel, Konstantinos-Matthaios Doulgeris, David Brus, David Campbell, and Robert Mackenzie
Atmos. Meas. Tech., 13, 6613–6630, https://doi.org/10.5194/amt-13-6613-2020, https://doi.org/10.5194/amt-13-6613-2020, 2020
Short summary
Short summary
We present the design and validation of an unmanned aerial vehicle (UAV) equipped with a bespoke optical particle counter (OPC). This is used to monitor atmospheric particles, which have significant effects on our weather and climate. These effects are hard to characterise properly, partly because they occur in regions that are not commonly accessible to traditional instrumentation. Our new platform gives us the capability to access these regions.
Konstantinos-Matthaios Doulgeris, Mika Komppula, Sami Romakkaniemi, Antti-Pekka Hyvärinen, Veli-Matti Kerminen, and David Brus
Atmos. Meas. Tech., 13, 5129–5147, https://doi.org/10.5194/amt-13-5129-2020, https://doi.org/10.5194/amt-13-5129-2020, 2020
Short summary
Short summary
We intercompared three cloud spectrometers ground setups in conditions with frequently occurring supercooled clouds. The measurements were conducted during the Pallas Cloud Experiment (PaCE) in 2013, in the Finnish sub-Arctic region at Sammaltunturi station. The main meteorological parameters influencing the spectrometers' performance was the wind direction. Final recommendations and our view on the main limitations of each spectrometer ground setup are presented.
Spencer Faber, Jeffrey R. French, and Robert Jackson
Atmos. Meas. Tech., 11, 3645–3659, https://doi.org/10.5194/amt-11-3645-2018, https://doi.org/10.5194/amt-11-3645-2018, 2018
Short summary
Short summary
Laboratory and in-flight evaluations of uncertainties of measurements from a cloud droplet probe are presented. This study extends results of earlier studies by examining instrument response over a greater range of droplet sizes throughout the entire sample volume. Errors in droplet sizing based on the laboratory measurements tend to be less than 10 %, significantly less than typically quoted sizing accuracy for this class of instrument.
M. Christian Schwartz
Atmos. Meas. Tech., 10, 3041–3055, https://doi.org/10.5194/amt-10-3041-2017, https://doi.org/10.5194/amt-10-3041-2017, 2017
Short summary
Short summary
Measurements of ice cloud particle populations are needed to improve climate and weather prediction. This paper makes a comparison between ice cloud particle populations measured using two different airborne cloud particle probes. It is concluded that measurements of particle populations from older probes are similar to those from newer probes, except in total numbers of particles counted. Therefore, more airborne studies of ice clouds need to be made using newer cloud particle probes.
M. Costa-Surós, J. Calbó, J. A. González, and C. N. Long
Atmos. Meas. Tech., 7, 2757–2773, https://doi.org/10.5194/amt-7-2757-2014, https://doi.org/10.5194/amt-7-2757-2014, 2014
F. Cairo, G. Di Donfrancesco, M. Snels, F. Fierli, M. Viterbini, S. Borrmann, and W. Frey
Atmos. Meas. Tech., 4, 557–570, https://doi.org/10.5194/amt-4-557-2011, https://doi.org/10.5194/amt-4-557-2011, 2011
J. P. Fugal and R. A. Shaw
Atmos. Meas. Tech., 2, 259–271, https://doi.org/10.5194/amt-2-259-2009, https://doi.org/10.5194/amt-2-259-2009, 2009
Cited articles
Arakawa, A.: The cumulus parameterization problem: Past, present, and
future, J. Climate, 17, 2493–2525,
https://doi.org/10.1175/1520-0442(2004)017<2493:RATCPP>2.0.CO;2, 2004.
Baldridge, A. M., Hook, S. J., Grove, C. I., and Rivera, G.: The ASTER
spectral library version 2.0, Remote Sens. Environ., 113, 711–715,
https://doi.org/10.1016/j.rse.2008.11.007, 2009.
Baum, B. A., Kratz, D. P., Yang, P., Ou, S. C., Hu, H., Soulen, P. F., and
Tsay, S.-C.: Remote sensing of cloud properties using MODIS airborne
simulator imagery during SUCCESS.I. Data and models, J. Geophys. Res., 105,
767–780, https://doi.org/10.1029/1999JD901089, 2000.
Bessho, K., Date, K., Hayashi, M., Ikeda, A., Imai, T., Inoue, H., Kumagai,
Y., Miyakawa, T., Murata, H., Ohno, T., Okuyama, A., Oyama, R., Sasaki, Y.,
Shimazu, Y., Shimoji, K., Sumida, Y., Suzuki, M., Taniguchi, H., Tsuchiyama,
H., Uesawa, D., Yokota, H., and Yoshida, R.: An Introduction to Himawari-8/9
– Japan's New-Generation Geostationary Meteorological Satellite,
J. Meteorol. Soc. Jpn., 94, 151–183, https://doi.org/10.2151/jmsj.2016-009, 2016.
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster,
P., Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh,
S., Sherwood, S., Stevens, B., and Zhang, X.: Clouds and Aerosols, book
section 7, Cambridge Univ. Press, Cambridge, UK, New York,
571–658, https://doi.org/10.1017/CBO9781107415324.016, 2013.
Cess, R. D., Potter, G. L., Blanchet, J. P., Boer, G. J., Ghan, S. J.,
Kiehl, J. T., Treut, H. LE., Li, Z.-X., Liang, X.-Z., Mitchell, J. F. B.,
Morcrette, J.-J., Randall, D. A., Riches, M. R., Roeckner, E. R., Schles,
U., Slingo, A., Taylor, K. E., Washington, W. W., Wetherald, R. T., and
Yagai, I.: Interpretation of cloud-climate feedbacks as produced by 14
atmospheric general circulation model, Science, 245, 513–516,
https://doi.org/10.1126/science.245.4917.513, 1989.
Chaboureau, J.-P., Tulet, P., and Mari, C.: Diurnal cycle of dust and cirrus
over West Africa as seen from Meteosat Second Generation satellite and a
regional forecast model, Geophys. Res. Lett., 34, LO2822,
https://doi.org/10.1029/2006GL027771, 2007.
Chen, Y., Weng, F., Han, Y., and Liu, Q.: Validation of the community
radiative transfer model by using CloudSat data, J. Geophys. Res., 113,
D00A03, https://doi.org/10.1029/2007JD009561, 2008.
Chevallier, F., Lopez, P., Tompkins, A. M., Janiskova, M., and Moreau, E.:
The capability of 4D-Var systems to assimilate cloud-affected satellite
infrared radiances, Q. J. Roy. Meteor. Soc., 130, 917–932,
https://doi.org/10.1256/qj.03.113, 2004.
Cotton, W. R., Pielke, R. A. Sr., Walko, R. L., Liston, G. E., Tremback, C.
J., Jiang, H., McAnelly, R. L., Harrington, J. Y., Nicholls, M. E., Carrio,
G. G., and McFadden, J. P.: RAMS 2001: Current status and future directions,
Meteorol. Atmos. Phys., 82, 5–29, https://doi.org/10.1007/s00703-001-0584-9,
2003.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P.,
Bechtold, P., Beljaars, A. C. M., van de Berg, L., Kållberg, P.,
Kållber, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M.,
Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C.,
Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis:
configuration and performance of the data assimilation system, Q. J. Roy.
Meteor. Soc., 127, 553–597, https://doi.org/10.1002/qj.828, 2011.
Ding, S., Yang, P., Weng, F., Liu, Q., Han, Y., van Delst, P., Li, J., and
Baum, B.: Validation of the community radiative transfer model, J. Quant.
Spectrosc. Ra.., 112, 1050–1064,
https://doi.org/10.1016/j.jqsrt.2010.11.009, 2010.
Dufresne, J.-L. and Bony, S.: An assessment of the primary sources of
spread of global warming estimates from coupled atmosphere-ocean model, J.
Climate, 21, 5135–5144, https://doi.org/10.1175/2008JCLI2239.1, 2008.
Free, M., Sun, B., and Yoo, H. L.: Comparison between Total Cloud Cover in
Four Reanalysis Products and Cloud Measured by Visual Observations at US
Weather Stations, J. Climate, 29, 2015–2021,
https://doi.org/10.1175/JCLI-D-15-0637.1, 2016.
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs,
L., Randles, C. A., Bosilovich, M. G., Reichle, R., Wargan, K., Copy, L.,
Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty,, A., da Silve,
A. M., Gu, W., Kim, G.-K., Koster, R., Lucchesi, R., Merkova, D., Nielsen,
J. E., Partyka, G., Pawson, S., Putman, W., Rienecker, M., Schubert, S. D.,
Sienkiewicz, M., and Zhao, B.: The modern-era retrospective analysis for
research and applications, version 2 (MERRA-2), J. Climate, 30, 5419–5454,
https://doi.org/10.1175/JCLI-D-16-0758.1, 2017.
Guan, L. and Wang, Z.: Objective determination of AIRS cloud mask using
co-located MODIS cloud mask, Scientia Meteorological Sincia, 27, 516–521,
2007.
Han, M., Braun, S. A., Matsui, T., and Williams, C. R.: Evaluation of cloud
microphysics schemes in simulations of a winter storm using radar and
radiometer measurements, J. Geophys. Res., 118, 1401–1419,
https://doi.org/10.1002/jgrd.50115, 2013.
Hansen, J. E. and Hovenier, J. W.: The doubling method applied to multiple
scattering of polarized light, J. Quant. Spectrosc. Ra., 11,
809–812, https://doi.org/10.1016/0022-4073(71)90057-4, 1971.
Hansen, J. E. and Travis, L. D.: Light scattering in planetary atmospheres,
Space Sci. Rev., 16, 527–610, https://doi.org/10.1007/BF00168069, 1974.
Hashino, T., Satoh, M., Hagihara, Y., Kubota, T., Matsui, T., Nasuno, T.,
and Okamoto, H.: Evaluating cloud microphysics from NICAM against CloudSat
and CALIPSO, J. Geophys. Res., 118, 7273–7292,
https://doi.org/10.1002/jgrd.50564, 2013.
Hersbach, H. and Dee, D.: ERA5 reanalysis is in production, ECMWF
Nesletter, 147, p. 7, 2016.
Heymsfield, A. J. and McFarquhar, G. M.: On the high albedos of anvil cirrus
in the tropical Pacific warm pool: Microphysical interpretations from CEPEX
and from Kwajalein, Marshall Islands, J. Atmos. Sci., 53, 2424–2451,
https://doi.org/10.1175/1520-0469(1996)053<2424:HAOCIT>2.0.CO;2, 1996.
Heymsfield, A. J., Matrosov, J. S., and Baum, B.: Ice water path optical
depth relationships for cirrus and deep stratiform ice cloud layers, J.
Appl. Meteorol., 42, 1369–1390,
https://doi.org/10.1175/1520-0450(2003)042<1369:IWPDRF>2.0.CO;2, 2003.
Holz, R. E., Ackerman, A., Nagle, F. W., Frey, R., Dutcher, S., Kuehn, R.
E., Vaughan, M. A., and Baum, B.: Global Moderate Resolution Imaging
Spectroradiometer (MODIS) cloud detection and height evaluation using
CALIOP, J. Geophys. Res., 113, D00A19, https://doi.org/10.1029/2008JD009837,
2008.
Iwabuchi, H., Putri, N. S., Saito, M., Tokoro, Y., Sekiguchi, M., Yang, P.,
and Baum, B. A.: Cloud Property Retrieval from Multiband Infrared
Measurements by Himawari-8, J. Meteorol. Soc. Jpn., 96, 27–42,
https://doi.org/10.2151/jmsj.2018-001, 2018.
Jakob, C.: Cloud Cover in the ECMWF Reanalysis, J. Climate, 12, 947–959,
https://doi.org/10.1175/1520-0442(1999)012<0947:CCITER>2.0.CO;2, 1999.
Järvinen, E., Jourdan, O., Neubauer, D., Yao, B., Liu, C., Andreae, M. O., Lohmann, U., Wendisch, M., McFarquhar, G. M., Leisner, T., and Schnaiter, M.: Additional global climate cooling by clouds due to ice crystal complexity, Atmos. Chem. Phys., 18, 15767–15781, https://doi.org/10.5194/acp-18-15767-2018, 2018.
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L.,
Iredell, M., Saha, S., White, G., Woolen, J., Zhu, Y., Chlliah, M,,
Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K. C., Ropelewski, C., Wang,
J., Leetmaa, A., Reynolds, R., Jenne, R., and Joseph, D.: The NCEP/NCAR
40-Year Reanalysis Project, B. Am. Meteorol. Soc., 77, 1757–1774,
https://doi.org/10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2, 1996.
King, M. D., Kaufman, Y. J., Menzel, W. P., and Tanre, D.: Remote sensing of
cloud, aerosol, and water vapor properties from the Moderate Resoluting
Imaing Spectrometer (MODIS), IEEE T. Geosci. Remote, 301, 2–27,
https://doi.org/10.1109/36.124212, 1992.
Kleist, D. T., Parrish, D. F., Derber, J. C., Treadon, R., Wu, W.-S., and
Lord, S.: Introduction of the GSI into the NCEP Global Data Assimilation
System, Weather Forecast., 24, 1691–1705,
https://doi.org/10.1175/2009WAF2222201.1, 2009.
Kobayashi, S., Ota, Y., Harada, Y., Ebita, A., Moriya, M., Onoda, H., Onogi,
K., Kamahori, H., Kobayashi, C., Endo, H., Miyaoka, K., and Takahashi, K.:
The JRA-55 Reanalysis: General specifications and basic characteristics, J. Meteorol. Soc. Jpn., 93, 5–48, https://doi.org/10.2151/jmsj.2015-001,
2015.
Lai, R., Teng, S., Yi, B., Letu, H., Min, M., Tang, S., and Liu, C.:
Comparison of Cloud Properties from Himawari-8 and Fengyun-4A Geostationary
Satellite Radiometers with MODIS Cloud Retrievals, Remote Sens., 11, 1703,
https://doi.org/10.3390/rs11141703, 2019.
Liao, J., Hu, K., Jiang, H., Cao, J., Jiang, L., Li, Q., Zhou, Z., Liu, Z.,
Zhang, T., and Wang, H.: Pre-Process and Data Selection for Assimilation of
Conventional Observations in the CMA Global Atmospheric Reanalysis,
Advances in Met. S&T., 8, 133–142,
https://doi.org/10.2969/j.issn.2095-1973.2017.01.018, 2018.
Liu, Q. and Weng, F.: Advanced doubling-adding method for radiative
transfer in planetary atmosphere, J. Atmos. Sci., 63, 3459–3465,
https://doi.org/10.1175/JAS3803.1, 2006.
Mao, K., Qin, Z., Shi, J., and Gong, P.: A practical split-window algorithm
for retrieving land-surface temperature from MODIS data, Int. J. Remote
Sens., 26, 3181–3204, https://doi.org/10.1029/2006GL026547, 2005.
Matsui, T., Santanello, J., Shi, J. J., Tao, W.-K., Wu, D., Peters-Lidard,
C., Kemp, E., Chin, M., Starr, D., Sekiguchi, M., and Aires, F.: Introducing
multisensory satellite radiance-based evaluation for regional Earth System
modeling, J. Geophys. Res., 119, 8450–8475,
https://doi.org/10.1002/2013JD021424, 2014.
Mazin, I. P.: Cloud Phase Structure: Experimental Data Analysis and
Parameterization, J. Atmos. Sci., 63, 667–681,
https://doi.org/10.1175/JAS3660.1, 2004.
McNally, A. P.: The direct assimilation of cloud-affected satellite infrared
radiances in the ECMWF 4D-Var, Q. J. Roy. Meteor. Soc. 135, 1214–1229,
https://doi.org/10.1002/qj.426, 2009.
Mecikalski, J. R. and Bedka, K. M.: Forecasting convective initiation by
monitoring the evolution of moving cumulus in daytime GOES imagery, Mon.
Weather Rev., 134, 49–78, https://doi.org/10.1175/MWR3062.1, 2006.
Mie, G.: Beiträge zur optic trüber medien, speziell kolloidaler
metallösungen, Ann. Phys., 330, 337–445, 1908.
Miles, N. L., Verlinde, J., and Clothiaux, E. E.: Cloud Droplet Size
Distributions in Low-Level Stratiform Clouds, J. Atmos. Sci., 57, 295–311,
https://doi.org/10.1175/1520-0469(2000)057<0295:CDSDIL>2.0.CO;2, 2000.
Morcrette, J.-J.: Evaluation of model-generated cloudiness:
Satellite-observed and model-generated diurnal variability of brightness
temperature, Mon. Weather Rev., 119, 1205–1224,
1991.
Onogi, K., Tsutsui, J., Koide, H., Sakamoto, M., Kobayashi, S., Hatsushika,
H., Matsumoto, T., Yamazaki, N., Kamahori, H., Takahashi, K., Kadokura, S.,
WADA, K., Kato, K., Oyama, R., Ose, T., Mannoji, N., and Taira, R.: The
JRA-25 Reanalysis, J. Meteorol. Soc. Jpn., 85, 369–432,
https://doi.org/10.2151/jmsj.85.369, 2007.
Otkin, J. A., Greenwald, T. J., Sieglaff, J., and Huang, H.-L.: Validation
of a large-scale simulated brightness temperature dataset using SEVIRI
satellite observations, J. Climate, 25, 4975–4992,
https://doi.org/10.1175/2009JAMC2142.1, 2009.
Platt, C. M. R.: A Parameterization of the Visible Extinction Coefficient of
Ice Clouds in Terms of the Ice/Water Content, J. Atmos. Sci., 54, 2083–2098,
https://doi.org/10.1175/1520-0469(1997)054<2083:APOTVE>2.0.CO;2, 1997.
Rienecker, M. M., Suarez, M. J., Gelaro, R., Todling, R., Bacmeister, J.,
Liu, E., Bosilovich, M. G., Schubert, S. D., Takacs, L., Kim, G.-K., Bloom,
S., Chen, J., Collins, D., Conaty, A., da Silva, A., Gu, W., Joiner, J.,
Koster, R. D., Lucchesi, R., Molod, A., Owens, T., Pawson, S., Pegion, P.,
Redder, C. R., Reichle, R., Robertson, F, R., Ruddick, A. G., Sienkiewicz,
M., and Woollen, J.: MERRA: NASA's Modern-Era Retrospective Analysis for
Research and Applications, J. Climate, 24, 3624–3648,
https://doi.org/10.1175/JCLI-D-11-00015.1, 2011.
Thompson, G., Rasmussen, R. M., and Manning, K.: Explicit forecasts of
winter precipitation using an improved bulk microphysics scheme, Part II:
Description and sensitivity analysis, Mon. Weather Rev., 132, 519–542,
2004.
Twomey, S., Jacobowitz, H., and Howell, H. B.: Matrix methods for
multiple-scattering problems, J. Atmos. Sci., 23, 289–298,
1966.
Uppala, S. M., KÅllberg, P. W., Simmons, A. J., Andrae, U., da costa
Bechtold, V., Fiorino, M., Gibson, J. K., Haseler, J., Hernandez, A., Kelly,
G. A., Li, X., Onogi, K., Saarinen, S., Sokka, N., Allan, R. P., Andersson,
E., Arpe, K., Balmaseda, M. A., Beljaars, A. C. M, van de Berg, L., Bidlot,
J., Bormann, N., Caires, S., Chevallier, F., Dethof, A., Dragosavac, M.,
Fisher, M., Fuentes, M., Hagemann, S., Hólm, E., Hoskins, B. J.,
Isaksen, L., Janssen, P. A. E. M., Jenne, R., Mcnally, A. P., Mahfouf,
J.-F., Morcrette, J.-J., Rayner, N. A., Saunders, R. W., Simon, P., Sterl,
A., Trenberth, K. E., Untch, A., Vasiljevic, D., Viterbo, P., and Woollen,
J.: The ERA-40 re-analysis, Q. J. Roy. Meteor. Soc., 131, 2961–3012,
https://doi.org/10.1256/qj.04.176, 2005.
Waliser, D. E., Li, J.-L. F., Woods, C. P., Austin, R. T., Bacmeister, J.,
Chern, J., Genio, A. D., Jiang, J. H., Kuang, Z., Meng, H., Minnis, P.,
Platnick, S., Rossow, W. B., Stephens, G. L., Sun-Mack, S., Tao, W.-K.,
Tompkins, A. M., Vane, D. G., Walker, C., and Wu, D.: Cloud ice: A climate
model challenge with signs and expectations of progress, J. Geophys. Res.,
114, D00A21, https://doi.org/10.1029/2008JD010015, 2009.
Wang, J., Liu, C., Min, M., Hu, X., Lu, Q., and Husi, L.: Effects and
Applications of Satellite Radiometer 2.25 µm Channel on Cloud Property
Retrievals, IEEE T. Geosci, Remote, 56, 5207–5216,
https://doi.org/10.1109/TGRS.2018.2812082, 2018.
Wang, M., Yao, S., Jiang, L., Liu, Z., Shi, C., Hu, K., Zhang, T., Zhang,
Z., and Liu, J.: Collection and Pre-Processing of Satellite Remote-Sensing
Data in CRA-40 (CMA's Global Atmospheric ReAnalysis), Advances in Met
S&T., 8, 158–163, https://doi.org/10.3969/j.issn.2095-1973.2018.01.021,
2018.
Weng, F.: A multi-layer discrete-ordinate method for vector radiative
transfer in a vertically-inhomogeneous, emitting and scattering atmosphere:
Theory, J. Quant. Spectrosc. Ra., 47, 19–33,
https://doi.org/10.1016/0022-4073(92)90076-G, 1992.
Wind, G., da Silva, A. M., Norris, P. M., and Platnick, S.: Multi-sensor cloud retrieval simulator and remote sensing from model parameters – Part 1: Synthetic sensor radiance formulation, Geosci. Model Dev., 6, 2049–2062, https://doi.org/10.5194/gmd-6-2049-2013, 2013.
Wu, W. S., Purser, R. J., and Parrish, D. F.: Three-dimensional variation
analysis with spatially inhomogeneous covariances, Mon. Weather Rev., 130,
2905–2916, https://doi.org/10.1175/1520-0493(2002)130<2905:TDVAWS>2.0.CO;2, 2002.
Yang, P., Bi, L., Baum, B. A., Liou, K.-N., Kattawar, G. W., Mishchenko, M.
I., and Cole, B.: Spectrally consistent scattering, absorption, and
polarization properties of atmospheric ice crystals at wavelengths from 0.2
to 100 μm, J. Atmos. Sci., 70, 330–347,
https://doi.org/10.1175/JAS-D-12-039.1, 2013.
Yang, P., Liou, K.-N., Bi, L., Liu, C., Yi, B., and Baum, B. A.: On the
radiative properties of ice clouds: Light scattering, remote sensing, and
radiation parameterization, Adv. Atmos. Sci., 32, 32–63,
https://doi.org/10.1007/s00376-014-0011-z, 2015.
Yao, B., Liu, C., Yin, Y., Zhang, P., Min, M., and Han, W.: Radiance-based
evaluation of WRF cloud properties over East Asia: Direct comparison with
FY-2E observations, J. Geophys. Res., 123, 4613–4629,
https://doi.org/10.1029/2017JD027600, 2018.
Yi, B., Yang, P., Liu, Q., van Delst, P., Boukabara, S.-A., and Weng, F.:
Improvements on the ice cloud modeling capabilities of the Community
Radiative Transfer Model, J. Geophys. Res., 121, 577–590,
https://doi.org/10.1002/2016JD025207, 2016.
Yi, B., Rapp, A. D., Yang, P., Baum, B. A., and King, M. D.: A comparison of
Aqua MODIS ice and liquid water cloud physical and optical properties
between collection 6 and collection 5.1: Pixel-to-pixel comparisons, J.
Geophys. Res., 122, 4528–4549, https://doi.org/10.1002/2016JD025586, 2017a.
Yi, B., Rapp, A. D., Yang, P., Baum, B. A., and King, M. D.: A comparison of
Aqua MODIS ice and liquid water cloud physical and optical properties
between collection 6 and collection 5.1: Cloud radiative effects, J.
Geophys. Res., 122, 4550–4565, https://doi.org/10.1002/2016JD25654, 2017b.
Yu, W., Sèze, G., Treut, H. L., and Desbois, M.: Comparison of radiance
fields observed by satellite and simulated by the LMD general circulation
model, Dynam. Atmos. Oceans, 16, 147–165,
https://doi.org/10.1016/0377-0265(91)90018-B, 1991.
Zhang, P., Lu, Q., Hu, X., Gu, S., Yang, L., Min, M., Chen, L., Xu, N., Sun,
L., Bai, W., Ma, G., and Xian, D.: Latest progress of the Chinese
Meteorological Satellite program and core data processing technologies, Adv.
Atmos. Sci., 36, 1027–1045, 2019.
Zhou, G. and Gao, S.: Analysis of the September 2016 Atmospheric Circulation
and Weather, Meteor. Mon., 42, 1560–1566,
https://doi.org/10.7519/j.issn.1000-0526.2016.12.015, 2016.
Short summary
Due to the complex spatiotemporal and physical properties of clouds, their quantitative depictions in different atmospheric reanalysis datasets are still highly uncertain. A radiance-based evaluation approach is developed to evaluate the quality of cloud properties by directly comparing them with satellite radiance observations. ERA5 and CRA are found to have great capability in representing the cloudy atmosphere over East Asia, and MERRA-2 tends to slightly overestimate clouds over the region.
Due to the complex spatiotemporal and physical properties of clouds, their quantitative...
