Delivery of Suomi National Polar-orbiting Partnership (Suomi NPP) satellite data products will cease on November 1, 2026. Data users should transition now to alternative products from NOAA-21 and NOAA-20.
Suomi NPP data announcement
Publications
Access publications citing NASA Earth science data.
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| Title | Year Sort ascending | Author | Topic | Dataset |
|---|---|---|---|---|
| Investigating Surface Deformation and Its Intrinsic Mechanism in | Zhou, Lv, Liu, Suoge, Li, Jiahao, Pan, Yuanjin, Wang, Cheng, Huang, Liangke, Huang, Ling | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM) | ||
| Investigating the contribution of grown new particles to cloud condensation nuclei with largely varying preexisting particlesPart 1: Observational data analysis | Wei, Xing, Shen, Yanjie, Yu, Xiao-Ying, Gao, Yang, Gao, Huiwang, Chu, Ming, Zhu, Yujiao, Yao, Xiaohong | Aerosol Backscatter, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Aerosol Radiance, Carbonaceous Aerosols, Cloud Condensation Nuclei, Dust/Ash/Smoke, Nitrate Particles, Organic Particles, Particulate Matter, Sulfate Particles, Trace Gases/Trace Species, Atmospheric Emitted Radiation, Emissivity, Optical Depth/Thickness, Radiative Flux, Reflectance, Transmittance, Atmospheric Stability, Humidity, Total Precipitable Water, Water Vapor Profiles, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, Cloud Liquid Water/Ice, Cloud Optical Depth/Thickness, Cloud Asymmetry, Cloud Ceiling, Cloud Frequency, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Cloud Emissivity, Cloud Radiative Forcing, Cloud Reflectance, Rain Storms, Atmospheric Ozone | ||
| Investigating the Coupling Relationship between Soil Moisture and Evaporative Fraction over China's Transitional Climate Zone | Zhang, Liang, Sha, Sha, Zhang, Qiang, Zhao, Funian, Zhao, Jianhua, Li, Hongyu, Wang, Sheng, Wang, Jianshun, Hu, Yanbin, Han, Hui | Reflectance | ||
| Investigating the spatial representativeness of East Antarctic ice cores: a comparison of ice core and radar-derived surface mass balance over coastal ice ... | Cavitte, Marie G. P., Goosse, Hugues, Matsuoka, Kenichi, Wauthy, Sarah, Goel, Vikram, Dey, Rahul, Pratap, Bhanu, Van Liefferinge, Brice, Meloth, Thamban, Tison, Jean-Louis | Ice Velocity | ||
| Investigating the unprecedented summer 2022 penetration of the Indian monsoon to Iran and evaluation of global and regional model forecasts | Ghassabi, Zahra, Karami, Sara, Vazifeh, Ahad, Habibi, Maral | 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, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | ||
| Investigation of an extreme rainfall event during 812 December 2018 over central VietnamPart 1: Analysis and cloud-resolving simulation | Wang, Chung-Chieh, Nguyen, Duc Van | Total Surface Precipitation Rate | ||
| IT-SNOW: a snow reanalysis for Italy blending modeling, in situ data, and satellite observations (20102021) | Avanzi, Francesco, Gabellani, Simone, Delogu, Fabio, Silvestro, Francesco, Pignone, Flavio, Bruno, Giulia, Pulvirenti, Luca, Squicciarino, Giuseppe, Fiori, Elisabetta, Rossi, Lauro, Puca, Silvia, Toniazzo, Alexander, Giordano, Pietro, Falzacappa, Marco, Ratto, Sara, Stevenin, Herve, Cardillo, Antonio, Fioletti, Matteo, Cazzuli, Orietta, Cremonese, Edoardo, Morra di Cella, Umberto, Ferraris, Luca | Albedo, Snow Depth, Snow Water Equivalent | ||
| JEDIBased ThreeDimensional EnsembleVariational Data Assimilation System for Global Aerosol Forecasting at NCEP | Huang, Bo, Pagowski, Mariusz, Trahan, Samuel, Martin, Cory R., Tangborn, Andrew, Kondragunta, Shobha, Kleist, Daryl T. | Aerosol Optical Depth/Thickness, Aerosol Backscatter, Aerosol Extinction, Angstrom Exponent, Aerosol Particle Properties, Aerosol Radiance, Carbonaceous Aerosols, Cloud Condensation Nuclei, Dust/Ash/Smoke, Nitrate Particles, Organic Particles, Particulate Matter, Sulfate Particles, Optical Depth/Thickness, Radiative Flux, Reflectance | ||
| Joint collaboration on comparing NOAA's ground-based weather radar and NASA-JAXA's spaceborne radar | Li, Zhi, Wen, Yixin, Liao, Liang, Wolff, David, Meneghini, Robert, Schuur, Terry | Atmospheric Water Vapor, Precipitation, RADAR | ||
| Introducing a new floodplain scheme in ORCHIDEE (version 7885): validation and evaluation over the Pantanal wetlands | Schrapffer, Anthony, Polcher, Jan, Sorensson, Anna, Fita, Lluis | Vegetation Index, Normalized Difference Vegetation Index (NDVI) | ||
| Introducing CRYOWRF v1. 0: multiscale atmospheric flow simulations with advanced snow cover modelling | Sharma, Varun, Gerber, Franziska, Lehning, Michael | Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps | ||
| Introduction | Rani, Seema | Land Use/Land Cover Classification | ||
| Invasion of natural grasslands by exotic trees increases flood risks in | Nayak, Rajat Ramakant, Krishnaswamy, Jagdish, Vaidyanathan, Srinivas, Chappell, Nick A., Bhalla, Ravinder Singh | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM) | ||
| Inverse Modeling of the Initial Stage of the 1991 Pinatubo Volcanic | Ukhov, A., Stenchikov, G., Osipov, S., Krotkov, N., Gorkavyi, N., Li, Can, Dubovik, O., Lopatin, A. | Sulfur Oxides, Sulfur Compounds, Sulfur Dioxide, Sulfur Oxides, Volcanic Activity, Volcanic Eruptions | ||
| Inversion of river discharge from remotely sensed river widths: A critical assessment at three-thousand global river gauges | Lin, Peirong, Feng, Dongmei, Gleason, Colin J., Pan, Ming, Brinkerhoff, Craig B., Yang, Xiao, Beck, Hylke E., de Moraes Frasson, Renato Prata | Leaf Area Index (LAI), Normalized Difference Vegetation Index (NDVI) | ||
| Machine Learning based Estimation of High-Resolution Snow Depth in Alaska using Passive Microwave Remote Sensing Data | Tanniru, Srinivasarao, Ramsankaran, RAAJ | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Brightness Temperature, Sea Ice Concentration, Sea Ice Motion, Snow Depth | ||
| Machine learning evaluation of storm-related transmission outage factors and risk | Taylor, William O., Nyame, Sita, Hughes, William, Koukoula, Marika, Yang, Feifei, Cerrai, Diego, Anagnostou, Emmanouil N. | Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps | ||
| Machine learning for activity-based road transportation emissions estimation | Rollend, Derek, Foster, Kevin, Kott, Tomek M., Mocharla, Rohita, Munoz, Rai, Fendley, Neil, Ashcraft, Chace, Willard, Frank, Reilly, Elizabeth P., Hughes, Marisa | Fossil Fuel Burning, Atmospheric Carbon Dioxide | ||
| Machine learning for prediction of daily sea surface dimethylsulfide concentration and emission flux over the North Atlantic Ocean (19982021) | Mansour, Karam, Decesari, Stefano, Ceburnis, Darius, Ovadnevaite, Jurgita, Rinaldi, Matteo | Ocean Chemistry, Ocean Optics, Ocean Temperature, Salinity/Density | ||
| Machine Learning Model-Based Estimation of XCO2 with High Spatiotemporal | He, Sicong, Yuan, Yanbin, Wang, Zihui, Luo, Lan, Zhang, Zili, Dong, Heng, Zhang, Chengfang | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | ||
| Machine learning-based prediction of sand and dust storm sources in arid | Wang, Wei, Samat, Alim, Abuduwaili, Jilili, De Maeyer, Philippe, Van de Voorde, Tim | Land Use/Land Cover Classification | ||
| Machine learning-based spatial data development for optimizing | Sakti, Anjar Dimara, Zakiar, Muhammad Rizky, Santoso, Cokro, Windasari, Nila Armelia, Jaelani, Anton Timur, Damayanti, Seny, Anggraini, Tania Septi, Putri, Anissa Dicky, Hudalah, Delik, Deliar, Albertus | Aerosol Optical Depth/Thickness | ||
| Machine-learning-based investigation of the variables affecting summertime lightning occurrence over the Southern Great Plains | Shan, Siyu, Allen, Dale, Li, Zhanqing, Pickering, Kenneth, Lapierre, Jeff | 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), Geopotential Height, Altitude, Surface 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, Skin Temperature | ||
| Machine-learning-based nowcasting of the Vogelsberg deep-seated landslide: why predicting slow deformation is not so easy | van Natijne, Adriaan L., Bogaard, Thom A., Zieher, Thomas, Pfeiffer, Jan, Lindenbergh, Roderik C. | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Surface Soil Moisture | ||
| Macrogenetics reveals multifaceted influences of environmental variation on vertebrate population genetic diversity across the Americas | Lawrence, Elizabeth R., Pedersen, Eric J., Fraser, Dylan J. | Carbon, Food Security |