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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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| Gross Primary Production Estimation of the Leningrad Region Ecosystem Based on OCO-2 Satellite Data | Foka, S. C., Makarova, M. V., Abakumov, E. V., Ionov, D. V. | Atmospheric Carbon Dioxide, Solar Induced Fluorescence |
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| 2025 California Wildfire Observations Using Single FieldofView Sounder Atmospheric Products (SiFSAP) | Lei, Liqiao, Liu, Xu, Wu, Wan, Xiong, Xiaozhen, Yang, Qiguang, Larar, Allen M. | Carbon Monoxide, Tropospheric Ozone, Geopotential Height, Tropopause, Atmospheric Ozone, Surface Pressure, Outgoing Longwave Radiation, Surface Temperature, Air Temperature, Upper Air Temperature, Total Precipitable Water, Water Vapor Profiles, Cloud Droplet Concentration/Size, Cloud Liquid Water/Ice, Cloud Optical Depth/Thickness, Cloud Fraction, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Cloud Types, Precipitation Rate, Emissivity, Skin Temperature, Sea Surface Temperature, Brightness Temperature, Infrared Radiance, Clouds, Cloud Frequency, REFLECTED INFRARED, Visible Radiance, Cloud Properties, Cloud Top Height, Cloud Emissivity, Aerosol Optical Depth/Thickness, Angstrom Exponent, Methane, Sulfur Dioxide |
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| 25-years study (20002024) of extreme precipitation following heatwaves in the Middle East: Regional patterns, trends, and atmospheric drivers | Ghasemifar, Elham, Planche, Celine, Baray, Jean-Luc, Almazroui, Mansour, Rashid, Irfan Ur, Moradi, Sakine, Topuz, Muhammet | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | ||
| 3D water vapor signature of tropical storms: GNSS tomography of the 10 most severe rainfall events in Hong Kong 20152025 | Mateus, P., Hui, D., Zhang, M., Fernandes, R., Miranda, P. M. A. | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | ||
| 40 days and nights in the Rains: The inner life of the Atlantic ITCZ during BOWTIE | Klocke, Daniel, Wing, Allison A., Segura, Hans, Dengler, Marcus, Bell, Michael M., Ruppert, James H., George, Geet, Kalesse-Los, Heike, Nuijens, Louise, Moller, Klas Ove, Kiko, Rainer, Mohr, Wiebke, Kidane, Abiel T., Trosits, Anna, Mertz, Charlotte, Imker, Celine, Begler, Christian, Blandfort, Daniel, Colon-Burgos, Delian, Austen, Dominik, Junyent, Francesc, Schmidt, Hauke, Habib, Joelle, van der Giessen, Judith, Wieners, Karl-Hermann, Hayo, Lennea, Stelzner, Martin, Lovato, Mateo, ODriscoll, Owen, Paschou, Peristera, Henning, Philipp, Mackenzie, Rob, Wimmer, Werenfrid, Serikov, Ilya, Brugmann, Bjorn, Wu, Yuting, Stevens, Bjorn, Windmiller, Julia | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | ||
| A Bayesian Multisource Fusion Model for Spatiotemporal PM2.5 | Riley, Abi I., Blangiardo, Marta, Piel, Frederic B., Beddows, Andrew, Beevers, Sean, Fuller, Gary W., Agnew, Paul, Pirani, Monica | Aerosol Optical Depth/Thickness | ||
| A Benchmark Dataset for Satellite-Based Estimation and Detection of Rain | Pfreundschuh, Simon, Arulraj, Malarvizhi, Behrangi, Ali, Bogerd, Linda, Calheiros, Alan James Peixoto, Casella, Daniele, Dolatabadi, Neda, Guilloteau, Clement, Gong, Jie, Kummerow, Christian D., Kirstetter, Pierre, Lee, Gyuwon, Maahn, Maximilian, Milani, Lisa, Panegrossi, Giulia, Palharini, Rayana, Petkovic, Veljko, Ryu, Soorok, Sano, Paolo, Tan, Jackson | Atmospheric Water Vapor, Precipitation | ||
| A Comparative Study on CMAQ-based Predictors and Reanalysis AOD for Improving PM2. 5 Estimation in Thailand using Machine Learning | Sukprasert, Supitcha, Thanasutives, Pongpisit, Araki, Shin, Uranishi, Katsushige, Matsuo, Tomohito, Shimadera, Hikari | Aerosol Optical Depth/Thickness | ||
| A climate-adapted framework for multi-temporal resource assessment of global horizontal irradiance under changing atmospheric conditions | Ahmad, Momina, Zeeshan, Muhammad | 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 climate-informed statistical framework to indirectly estimate trends in future seasonal high flows in snow-dominated watersheds using short-term climate variability indices | Gonzalez-Mora, Andres F., Foulon, Etienne, Rousseau, Alain N. | Maximum/Minimum Temperature, 24 Hour Precipitation Amount, Snow Water Equivalent, Vapor Pressure, Shortwave Radiation | ||
| A climatology of hail in Europe (20142024) based on GPM-DPR sensor data | Rivero-Ordaz, Laura, Garcia-Ortega, Eduardo, Navarro, Andres, Tapiador, Francisco J., Sanchez, Jose L., Corbea-Perez, Alejandro, Merino, Andres | Atmospheric Water Vapor, Precipitation, RADAR | ||
| A Climatology of Mesoscale Convective System Hazards in the United States and Their Representation in a Convection-Permitting Model | Cui, Wenjun, Hoogewind, Kimberly A., Galarneau, Thomas J. | Precipitation, Brightness Temperature | ||
| A Comprehensive review of global precipitation Products: Availability and application for flood inundation mapping | Nikam, Vikrant, Patil, Mangal, Wandre, Sarika, Nikam, Bhaskar, Nandgude, Sachin, Ghatge, Jayant | Total Surface Precipitation Rate | ||
| A flexible framework for precision reduction of WRF inputs and outputs to balance storage efficiency and scientific fidelity | Wu, Shang, Wong, David C., Wang, Jiandong, Jin, Yuzhi, Li, Junjun, Lu, Chunsong | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | ||
| A Forward Modeling Approach for the Vicarious Validation of the Thermal Infrared Sensor On-Board Landsat 8 and 9 | Eon, Rehman S., Gerace, Aaron, Montanaro, Matthew | 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 | ||
| A 45 THOUSAND YEAR RECORD OF AGED CARBON DYNAMICS IN ARCTIC ALASKA IDENTIFIED USING RADIOCARBON AGE-OFFSET FROM LAKE E5 | Sinon, Hailey K., Abbott, Mark B., Rosenheim, Brad E., Firesinger, Devon, Tracey, Helene C., Finney, Bruce, Shelef, Eitan | Primary Production, Respiration Rate, Atmospheric Carbon Dioxide | ||
| A Dual-TransUNet Deep Learning Framework for Multi-Source Precipitation Merging and Improving Seasonal and Extreme Estimates | Ye, Yuchen, Qi, Zixuan, Li, Shixuan, Qi, Wei, Cai, Yanpeng, Yuan, Chaoxia | Total Surface Precipitation Rate | ||
| 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 long-term (20002022), high-resolution (0.005) aboveground biomass dataset of global grasslands | Wu, Pinzhen, Sun, Qingling, Wang, Daju, Si, Jiahe, Li, Baolin, Zhao, Xuetong, Zhu, Siyu, Li, Yong, Chen, Xiuzhi, Yuan, Wenping | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Land Use/Land Cover Classification, Reflectance, Biomass, Forests, Grasslands, Alpine/Tundra |
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| A Decadal Survey of the Near-Surface Seismic Velocity Response to Hydrological Variations in Utah, United States | Feng, KuanFu, Denolle, Marine, Lin, FanChi, van Dam, Tonie | Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Evapotranspiration, Rain, Snow, Canopy Characteristics, Leaf Characteristics, Vegetation Cover, Soil Moisture/Water Content, Soil Temperature, Albedo, Land Surface Temperature, Snow Water Equivalent, Runoff | ||
| A global all-weather PWV retrieval model integrating multi-band satellite observations considering land cover types and NDVI | Xu, Yan, Wang, Yubo, Jiang, Nan, Guo, Ao, Xu, Tianhe | Atmospheric Water Vapor, Precipitation | ||
| 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 Coordinated Framework for Global Climate Reanalyses | Cobb, Alison, Bosilovich, Michael G., Buontempo, Carlo, Hersbach, Hans, Kobayashi, Shinya, Kosaka, Yuki, Kumar, Arun, Zhang, Peiqun, Fuentes, Manuel, Mladek, Richard, Shen, Suhung | Heat Flux, Air Temperature, Skin Temperature, Specific Humidity, Water Vapor, Precipitation Rate, Snow/Ice, Evaporation, Latent Heat Flux, Latent Heat Flux, Sensible Heat Flux, Diffusion, Surface Winds, Wind Speed, U/V Wind Components, Wind Stress, Wind Stress, Surface Roughness, Planetary Boundary Layer Height, Ice Fraction, Geopotential Height, Altitude, Surface Temperature, Upper Air Temperature, Dew Point Temperature, Cloud Top Temperature, Atmospheric Winds, Surface Winds, Upper Level Winds, U/V Wind Components, Vertical Wind Velocity/Speed, Atmospheric Pressure, Sea Level Pressure, Cloud Top Pressure, Sea Level Pressure, Surface Pressure, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Boundary Layer Winds | ||
| A coupled hydrologic-agroeconomic modeling framework to evaluate adaptive irrigation strategies under groundwater withdrawal restrictions | Femeena, Pandara Valappil, Daenzer, Kathryn, Frolking, Steve, Grogan, Danielle, Nucciarone, Jeffrey, Calvin, Katherine, Lammers, Richard B., Fisher-Vanden, Karen | 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 |