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Publications Citing OMPS SIPS Data
List of peer-reviewed publications that cite using OMPS SIPS data.
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| Title | Year Sort ascending | Author | Topic | Dataset |
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| Harmonizing atmospheric ozone column concentrations over the Tibetan Plateau from 2005 to 2022 using OMI and Sentinel-5P TROPOMI: A deep learning approach | Shi, Changjiang, Zhang, Zhijie, Xiong, Shengqing, Chen, Wangang, Zhang, Wanchang, Zhang, Qian, Wang, Xingmao | Atmospheric Ozone, Atmospheric Ozone | ||
| Has IMERG_V07 Improved the Precision of Precipitation Retrieval in Mainland China Compared to IMERG_V06? | Guo, Hao, Tian, Yunfei, Li, Junli, Guo, Chunrui, Meng, Xiangchen, Wang, Wei, De Maeyer, Philippe | Total Surface Precipitation Rate | ||
| Heavy Rainfall Events in Selected Geographic Regions of Mexico, Associated with Hail Cannons | Rodriguez-Moreno, Victor M., Estrada-Avalos, Juan | Total Surface Precipitation Rate, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | ||
| High-resolution global precipitation downscaling with latent Gaussian models and non-stationary stochastic partial differential equation structure | Zhang, Jiachen, Bonas, Matthew, Bolster, Diogo, Fuglstad, Geir-Arne, Castruccio, Stefano | Air Temperature, Precipitation Rate, 24 Hour Maximum Temperature, 24 Hour Minimum Temperature | ||
| High-resolution Standardized Precipitation Evapotranspiration Index (SPEI) reveals trends in drought and vegetation water availability in China | He, Qian, Wang, Ming, Liu, Kai, Wang, Bowen | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff | ||
| Long-range transport and microscopy analysis of Sangay volcanic ashes in Ecuador | Moran-Zuloaga, Daniel, Merchan-Merchan, Wilson, Rodriguez-Caballero, Emilio, Mulas, Maurizio, Hernick, Philip | Aerosols, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Carbonaceous Aerosols, Dust/Ash/Smoke, Organic Particles, Sulfate Particles, Sulfur Oxides, Sulfur Compounds, Sulfate, Sulfur Dioxide, Sulfur Oxides, Particulate Matter, Dimethyl Sulfide, Black Carbon, Sea Salt, PARTICULATE MATTER (PM 2.5), PARTICULATE MATTER (PM 1.0), PARTICULATE MATTER (PM 10) | ||
| Long-term air pollution and adverse meteorological factors might elevate the osteoporosis risk among adult Chinese | Sun, Hong, Wan, Yanan, Pan, Xiaoqun, You, Wanxi, Shen, Jianxin, Lu, Junhua, Zheng, Gangfeng, Li, Xinlin, Xing, Xiaoxi, Zhang, Yongqing | Ultraviolet Radiation, Solar Irradiance | ||
| Long-term changes of surface ozone and ozone sensitivity over the North China Plain based on 20152021 satellite retrievals | Zhu, Chuanyong, Gai, Yichao, Liu, Zhenguo, Sun, Lei, Fu, Siyuan, Liu, Kun, Yang, Leifeng, Pan, Guang, Wang, Baolin, Wang, Chen, Yang, Na, Li, Zhisheng, Xu, Chongqing, Yan, Guihuan | Carbon And Hydrocarbon Compounds | ||
| Long-term characteristics of dust aerosols over central China from 2010 to 2020 observed with polarization lidar | Jing, Dongzhe, He, Yun, Yin, Zhenping, Liu, Fuchao, Yi, Fan | Aerosols, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Carbonaceous Aerosols, Dust/Ash/Smoke, Organic Particles, Sulfate Particles, Sulfur Oxides, Sulfur Compounds, Sulfate, Sulfur Dioxide, Sulfur Oxides, Particulate Matter, Dimethyl Sulfide, Black Carbon, Sea Salt, PARTICULATE MATTER (PM 2.5), PARTICULATE MATTER (PM 10), PARTICULATE MATTER (PM 1.0) | ||
| Long-term characteristics of hydrometeors in stratiform and convective precipitation over central eastern China and adjacent ocean | Liao, Chenxi, Gao, Wenhua, Tang, Lanzhi, Li, Chengyin | Atmospheric Water Vapor, Precipitation | ||
| Long-term evaluation of rainfall in the arid region of Pakistan using multi-source data | Elahi, Ehsan, Abro, Mohammad Ilyas, Khaskheli, Murad Ali, Kandhro, Ghulam Abbas, Zehra, Tasneem, Ali, Sikandar, Shaikh, Muhammad Najam, Laghari, Barkat Ali, Hassan, Mahdi, Memon, Mushtaque Ahmed | Total Surface Precipitation Rate | ||
| Long-term quantification of springtime aerosols over Saudi Arabia using multi-satellite remotely sensed data | Nadeem, Atifa, Tariq, Salman, Haq, Zia ul | Aerosol Extinction, Aerosol Optical Depth/Thickness, Aerosol Extinction, Aerosol Optical Depth/Thickness, Aerosol Optical Depth/Thickness, Aerosol Optical Depth/Thickness |
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| Long-term spatiotemporal characteristics and influencing factors of dust aerosols in East Asia (20002022) | Wang, Yanjiao, Tang, Jiakui, Wang, Wuhua, Wang, Zhao, Wang, Jiru, Liang, Shunbo, Chu, Bowen | Aerosols, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Carbonaceous Aerosols, Dust/Ash/Smoke, Organic Particles, Sulfate Particles, Sulfur Oxides, Sulfur Compounds, Sulfate, Sulfur Dioxide, Sulfur Oxides, Particulate Matter, Dimethyl Sulfide, Black Carbon, Sea Salt, PARTICULATE MATTER (PM 2.5), PARTICULATE MATTER (PM 10), PARTICULATE MATTER (PM 1.0) | ||
| Long-term spatiotemporal distribution characterization of atmospheric black carbon MERRA-2 concentration over China | Mao, Qianjun, Chen, Piaopiao, Zhang, Xiaoyan, Tan, Yunlu, Wu, Xiaohu | Aerosols, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Carbonaceous Aerosols, Dust/Ash/Smoke, Organic Particles, Sulfate Particles, Sulfur Oxides, Sulfur Compounds, Sulfate, Sulfur Dioxide, Sulfur Oxides, Particulate Matter, Dimethyl Sulfide, Black Carbon, Sea Salt, PARTICULATE MATTER (PM 2.5), PARTICULATE MATTER (PM 10), PARTICULATE MATTER (PM 1.0) | ||
| Long-term trends of ozone precursors and ozone sensitivity in Jakarta Metropolitan Area: A view from space | Kusumaningtyas, Sheila Dewi Ayu, Tonokura, Kenichi, Gunawan, Dodo, Iriana, Windy | Carbon And Hydrocarbon Compounds | ||
| Long-term variations in surface ozone at the Longfengshan Regional Atmosphere Background Station in Northeast China and related influencing factors | Zhang, Xiaoyi, Sun, Jingmin, Lin, Weili, Xu, Wanyun, Zhang, Gen, Wu, Yanling, Dai, Xin, Zhao, Jinrong, Yu, Dajiang, Xu, Xiaobin | Nitrogen Dioxide, Carbon And Hydrocarbon Compounds |
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| Long-term variations of global dust emissions and climate control | Wang, Ning, Zhang, Yuanyuan | Surface Pressure, Air Temperature, Specific Humidity, Surface Winds, Wind Speed, Geopotential Height, Aerosols, Carbonaceous Aerosols, Dust/Ash/Smoke, Sulfur Dioxide, Sulfur Oxides, Sulfate, Sulfate Particles, Sulfur Oxides, Particulate Matter, Emissions, UV Aerosol Index, Gas/Aerosol Composition, Aerosol Extinction, Deposition |
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| LUCC-induced dust aerosol change increase surface and reduce atmospheric direct radiative forcing in Northern China | Wang, Weijiao, Song, Hongquan, Min, Ruiqi, Wang, Qianfeng, Qi, Minghui | Aerosols, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Carbonaceous Aerosols, Dust/Ash/Smoke, Organic Particles, Sulfate Particles, Sulfur Oxides, Sulfur Compounds, Sulfate, Sulfur Dioxide, Sulfur Oxides, Particulate Matter, Dimethyl Sulfide, Black Carbon, Sea Salt, PARTICULATE MATTER (PM 2.5), PARTICULATE MATTER (PM 1.0), PARTICULATE MATTER (PM 10) | ||
| Machine learning algorithms applied to wildfire data in California's central valley | Hernandez, Kassandra, Hoskins, Aaron B. | Atmospheric Ozone, Sea Level Pressure, Surface Pressure, U/V Wind Components, U/V Wind Components, Potential Vorticity, Vertical Wind Velocity/Speed, Vertical Profiles, Upper Air Temperature, Air Temperature, Relative Humidity, Specific Humidity, Atmospheric Water Vapor, Cloud Liquid Water/Ice, Altitude, Geopotential Height, Ozone Profiles, Precipitation Rate, Water Vapor Flux |
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| Machine learning algorithms for merging satellite-based precipitation products and their application on meteorological drought monitoring over Kenya | Ghosh, Suravi, Lu, Jianzhong, Das, Priyanko, Zhang, Zhenke | Total Surface Precipitation Rate | ||
| Machine learning and remote sensing based time series analysis for drought risk prediction in Borena Zone, Southwest Ethiopia | Bojer, Amanuel Kumsa, Biru, Bereket Hailu, Al-Quraishi, Ayad M. Fadhil, Debelee, Taye Girma, Negera, Worku Gachena, Woldesillasie, Firesew Feyiso, Esubalew, Sintayehu Zekarias | Total Surface Precipitation Rate | ||
| Machine Learning Applications in Air Quality Management and Policies | Upadhyay, Abhishek, Sharma, Puneet, Chowdhury, Sourangsu | Nitrogen Dioxide | ||
| Machine Learning approach to investigating the relative importance of meteorological and aerosol-related parameters in determining cloud microphysical ... | Bender, Frida A.-M., Lord, Tobias, Staffansdotter, Anna, Jung, Verena, Undorf, Sabine | Sulfur Dioxide | ||
| Machine Learning Methods for Predicting Argania spinosa Crop Yield and Leaf Area Index: A Combined Drought Index Approach from Multisource Remote Sensing Data | Mouafik, Mohamed, Fouad, Mounir, El Aboudi, Ahmed | Total Surface Precipitation Rate | ||
| Machine learning-based climate risk sharing for an insured loan in the tourism industry | Carannante, Maria, Damato, Valeria, Fersini, Paola, Forte, Salvatore | Air Temperature, Precipitation Rate, 24 Hour Maximum Temperature, 24 Hour Minimum Temperature, Geopotential Height, Atmospheric Ozone, Pressure Thickness, Sea Level Pressure, Surface Pressure, Upper Air Temperature, Atmospheric Water Vapor, Cloud Liquid Water/Ice, Cloud Fraction, U/V Wind Components, U/V Wind Components, Ozone Profiles |
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