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Publications Citing Atmosphere Data
List of peer-reviewed publications that cite using Atmosphere data.
Filters
| Title | Year Sort ascending | Author | Topic | Dataset |
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| A Holistic Assessment of Climate Change, Land Use, and Water Governance Through Complex Water Systems | Quaggio, Carolina Stager, Santarosa, Lucas Vituri, Moffatt, Philip, Sacchi, Marcelo Donadelli, Valdambrini, Bruno, Soares, Amanda Rodrigues, Boll, Jan, Gastmans, Didier | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Air Temperature, Specific Humidity, Evapotranspiration, Wind Speed, Rain, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Cover, Snow Depth, Snow Water Equivalent, Runoff, Total Runoff | ||
| A human-in-the-loop active learning framework for scalable wind energy | Zhang, Yuchen, Zheng, Limengqian, Guo, Yixin, Lu, Erwan, Li, Zhi, Lu, Zi | Geopotential Height, Altitude, Surface Temperature, Skin Temperature, Upper Air Temperature, Dew Point Temperature, Air Temperature, Cloud Top Temperature, Atmospheric Winds, Surface Winds, U/V Wind Components, Upper Level Winds, U/V Wind Components, Vertical Wind Velocity/Speed, Atmospheric Pressure, Sea Level Pressure, Cloud Top Pressure, Sea Level Pressure, Surface Pressure, Specific Humidity, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Boundary Layer Winds, Total Ozone | ||
| A Multi-Agglomeration Assessment of Air Quality Responses to Top-Down NOx Emission Changes: Insights from Trends in Surface NO2 and O3 Across Urban China (20142021) | Shen, Yang, Feng, Shuzhuang, Zhang, Rui, Peng, Chenchen, Yang, Zihan, Yang, Yuanyuan, Wei, Guoen | Carbon And Hydrocarbon Compounds | ||
| A hybrid machine learning model for flood prediction with recursive feature elimination informed by training performance | Gong, Liying, Woo, Wai Lok, Wu, Yue Ivan, Zheng, Xiujuan | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Total Surface Precipitation Rate |
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| A hybrid optimal estimation and machine learning approach to predict atmospheric composition | Werner, Frank, Bowman, Kevin W., Lee, Seungwon, Laughner, Joshua L., Payne, Vivienne H., McDuffie, James L. | Atmospheric Carbon Monoxide, Brightness Temperature, Infrared Radiance | ||
| A Hybrid Physics-Guided Machine Learning for Soil Moisture Monitoring and Drought Assessment From CYGNSS in Complex Terrain | Rhadiouini, Charafa El, Jin, Shuanggen, Yeboah, Emmanuel, Sarfo, Isaac, Okrah, Abraham | 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, RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Brightness Temperature, Surface Soil Moisture, Radar Cross-Section, Radar Reflectivity |
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| A KoppenGeiger classification derivative tailored for numerical modeling of ecosystems within watershed dynamics | Chauveau, Benoit, Pujol, Arnaud, Mama, Ahmed N. | Atmospheric Emitted Radiation, Emissivity, Optical Depth/Thickness, Radiative Flux, Reflectance, Transmittance, Clouds, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, Cloud Liquid Water/Ice, Cloud Optical Depth/Thickness, Cloud Precipitable Water, Cloud Asymmetry, Cloud Ceiling, Cloud Frequency, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Cloud Emissivity, Cloud Radiative Forcing, Cloud Reflectance, Cloud Types | ||
| A large-scale, multitask, multisensory dataset for climate-aware crop monitoring in the US from 20182022 | Hohl, Adrian, Ofori-Ampofo, Stella, Fernandez-Torres, Miguel-Angel, Kuzu, Rdvan Salih, Zhu, Xiao Xiang | Maximum/Minimum Temperature, 24 Hour Precipitation Amount, Snow Water Equivalent, Vapor Pressure, Shortwave Radiation | ||
| A Machine Learning approach for Total Water storage anomaly eXtension back to 1980 (ML-TWiX) | Saemian, Peyman, Tourian, Mohammad J., Douch, Karim, Foster, James, Gou, Junyang, Wiese, David, AghaKouchak, Amir, Sneeuw, Nico | Sea Surface Height, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | ||
| A Multiband Optical-Radio View of Lightning Return Strokes Exposes | Leal, A. F. R., Wemhoner, J., da Silva, C. L., Sonnenfeld, R. G. | Lightning, Lightning | ||
| A multi-scale investigation of rainfall drivers over Metro Manila, Philippines using empirical orthogonal function analysis | Llorin, Alyssa Gewell A., Dairaku, Koji | Total Surface Precipitation Rate | ||
| A multi-source precipitation blending method combining hydrological | Wang, Jingyang, Li, Xiang, Wu, Ruiyan, Mu, Xiangpeng, Wei, Jiahua, Huang, Yuefei, Gu, Shenglong, Yin, Dongqin, Tao, Xin, Xu, Keyan | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | ||
| A global black carbon dataset of column concentration and microphysical information derived from MISR multi-band observations and Mie scattering ... | Liu, Zhewen, Cohen, Jason B., Tiwari, Pravash, Guan, Luoyao, Wang, Shuo, Li, Zhengqiang, Qin, Kai | Cloud Amount | ||
| A new index used to characterise the extent of Antarctic marine coastal winds in climate projections | Cable, Archie, Caton Harrison, Thomas, Kent, Elizabeth, Cornes, Richard, Bracegirdle, Thomas J. | Surface Temperature, Skin Temperature, Upper Air Temperature, Air Temperature, Atmospheric Winds, Surface Winds, U/V Wind Components, Atmospheric Pressure, Sea Level Pressure, Surface Pressure, Specific Humidity, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Altitude, Boundary Layer Winds | ||
| A new model for estimating topography-modulated daily net radiation under all-sky conditions | Zhao, Yu, Jiang, Bo, Liang, Shunlin, Li, Ainong, He, Tao, Miao, Guofang, Zhang, Zhengjian, Yin, Xiuwan, Chen, Yingping, Zhao, Xiang, Zhang, Xiaotong, Yao, Yunjun, Tan, Xuqing | Reflectance, Albedo, Anisotropy, Shortwave Radiation | ||
| A new, long-term root zone soil moisture dataset for operational agricultural drought monitoring over Africa | Maidment, Ross I., Quaife, Tristan, Pinnington, Ewan, Black, Emily, Ejigu, Amsalework, Kumar, Dhirendra, Thomas, Simon | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Air Temperature, Specific Humidity, Evapotranspiration, Wind Speed, Rain, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Cover, Snow Depth, Snow Water Equivalent, Runoff, Surface Temperature, Humidity, Surface Winds, Precipitation Rate, Ground Water |
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| Apparent Global Increase in Cloud Droplet Number Concentration After | Liu, Jihu, Zhu, Yannian, Rosenfeld, Daniel, Cao, Yang, Wang, Yichuan, Wang, Minghuai | Dust/Ash/Smoke, Carbonaceous Aerosols, Organic Particles, Sulfate Particles, Sulfur Oxides, Sulfur Compounds, Sulfate, Sulfur Dioxide, Sulfur Oxides, Dimethyl Sulfide, Aerosol Particle Properties, Particulate Matter, Aerosols, Surface Pressure, Pressure Thickness, Relative Humidity, Sea Salt, Black Carbon, Air Mass/Density, Atmospheric Emitted Radiation, Emissivity, Optical Depth/Thickness, Radiative Flux, Reflectance, Transmittance, Clouds, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, Cloud Liquid Water/Ice, Cloud Optical Depth/Thickness, Cloud Precipitable Water, Cloud Asymmetry, Cloud Ceiling, Cloud Frequency, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Cloud Emissivity, Cloud Radiative Forcing, Cloud Reflectance, Cloud Types | ||
| Applications of the World Wide Lightning Location Network (WWLLN) Thunder Hour Climatology | Virts, Katrina S., Holzworth, Robert H., McCarthy, Michael P. | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Lightning, Thunder Hour | ||
| Applying an Interpretable Deep Learning Model to Identify Wildfire-Prone Areas in Southwest China | Ma, Chenyu, Yang, Siquan, Cui, Jing, Li, Qiang, Yao, Qichao, Zhang, De, Guo, Jiachang, Wang, Xinqian, Qu, Chong | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Air Temperature, Specific Humidity, Evapotranspiration, Wind Speed, Rain, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Cover, Snow Depth, Snow Water Equivalent, Runoff | ||
| Assessing air quality variations in relation to vegetation patterns and meteorological conditions using remote sensing | Ngebe, Sisipho, Ngcoliso, Nasiphi, Shikwambana, Lerato | Geopotential Height, Altitude, Surface Temperature, Skin Temperature, Upper Air Temperature, Dew Point Temperature, Air Temperature, Cloud Top Temperature, Atmospheric Winds, Surface Winds, U/V Wind Components, Upper Level Winds, U/V Wind Components, Vertical Wind Velocity/Speed, Atmospheric Pressure, Sea Level Pressure, Cloud Top Pressure, Sea Level Pressure, Surface Pressure, Specific Humidity, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Boundary Layer Winds, Total Ozone, Wind Speed |
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| Assessing and improving MERRA-2 black carbon column concentration over china using multi-source data and machine learning | Zhang, Qian, Wang, Xudong, Long, Yuan | 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) | ||
| Are urban impacts on heavy rainfall amplified in mountainous regions? | Urdiales-Flores, Diego, Koukoula, Marika, Prein, Andreas F, Jan de Vries, Andries, Mariethoz, Gregoire, Bendix, Jorg, Dominguez, Francina, Celleri, Rolando, Peleg, Nadav | Total Surface Precipitation Rate | ||
| Artificial intelligence with earth observations provides continuous | Uddin, Shihab, Rajib, Adnan, Haider, M. Rezaul, Vanderhoof, Melanie, Luk Kim, I., Zhao, Lan | Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Surface Thermal Properties, Land Surface Temperature, THERMAL ANOMALIES, Burned Area, Reflectance, Maximum/Minimum Temperature, 24 Hour Precipitation Amount, Snow Water Equivalent, Vapor Pressure, Shortwave Radiation, Evapotranspiration, Latent Heat Flux |
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| Artificial neural network-based forecasting of SPI for extreme event analysis in the Upper Sao Francisco sub-basin | Santos, Celso Augusto Guimaraes, de Medeiros Miranda, Vanessa Negreiros, Brasil Neto, Reginaldo Moura, de Farias, Camilo Allyson Simoes, da Silva, Richarde Marques | Total Surface Precipitation Rate | ||
| Anthropogenic Forcings Intensify Droughts More Severely in Drylands than in Humid Regions | Zhang, Yanting, Wu, Renguang, Zheng, XiaoTong, Mei, Jiahui, Sun, Lin | 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 |