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| Title | Year Sort ascending | Author | Topic | Dataset |
|---|---|---|---|---|
| Projected Changes of Day-to-Day Precipitation and Choco Low-Level Jet Relationships over the Far Eastern Tropical Pacific and Western Colombia from Two CMIP6 GCM Models | Valencia, Juliana, Mejia, John F. | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | ||
| Probabilistic forecasting of remotely sensed cropland vegetation health | Hammad, Ahmed T., Falchetta, Giacomo | Land Surface Temperature, Emissivity | ||
| Probabilistic Forecasts of Arctic Sea Ice Thickness | Gao, Peter A., Director, Hannah M., Bitz, Cecilia M., Raftery, Adrian E. | Sea Ice Concentration | ||
| Probabilistic impacts of compound dry and hot events on global gross primary production | Wu, Xinying, Jiang, Dabang | Cropland, Water Resources, Pasture | ||
| Probabilistic Tracking of Annual Cropland Changes over Large, Complex | Xiong, Sitian, Baltezar, Priscilla, Crowley, Morgan A., Cecil, Michael, Crema, Stefano C., Baldwin, Eli, Cardille, Jeffrey A., Estes, Lyndon | Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland | ||
| Probing isoprene photochemistry at atmospherically relevant nitric oxide levels | Zhang, Xuan, Wang, Siyuan, Apel, Eric C., Schwantes, Rebecca H., Hornbrook, Rebecca S., Hills, Alan J., DeMarsh, Kate E., Moo, Zeyi, Ortega, John, Brune, William H., Mauldin, Roy L., Cantrell, Christopher A., Teng, Alexander P., Blake, Donald R., Campos, Teresa, Daube, Bruce, Emmons, Louisa K., Hall, Samuel R., Ullmann, Kirk, Wofsy, Steven C., Wennberg, Paul O., Tyndall, Geoffrey S., Orlando, John J. | Atmospheric Carbon Monoxide, Carbonaceous Aerosols, Air Quality, Trace Gases/Trace Species, Non-methane Hydrocarbons/Volatile Organic Compounds, Industrial Emissions, Fossil Fuel Burning, Biomass Burning, Atmospheric Carbon Dioxide, Sulfur Compounds, Halocarbons And Halogens, Atmospheric Ozone | ||
| Probing the upper end of intracontinental earthquake magnitude: A prehistoric example from the Dzhungarian and Lepsy Faults of Kazakhstan | Tsai, C.H., Abdrakhmatov, K., Mukambayev, A., Elliott, A. J., Elliott, J. R., Grutzner, C., Rhodes, E. J., Ivester, A. H., Walker, R. T., Wilkinson, R. | Digital Elevation/Terrain Model (DEM) | ||
| Process-oriented evaluation of the West African Monsoon system in CORDEX-CORE regional climate models | Tamoffo, Alain T., Dosio, Alessandro, Amekudzi, Leonard K., Weber, Torsten | Precipitation Amount | ||
| Predicted impact of climate change on the distribution of the Critically Endangered golden mantella (Mantella aurantiaca) in Madagascar | Edwards, Wayne M. | Topographical Relief Maps, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Biogeochemical Cycles | ||
| Predicting (de-) Escalation of Sub-National Violence Using Gradient Boosting: Does It Work? | Vestby, Jonas, Brandsch, Jurgen, Larsen, Vilde Bergstad, Landsverk, Peder, Tollefsen, Andreas For | Population Density | ||
| Predicting adverse scenarios for a transboundary coastal aquifer system in the Atacama Desert (Peru/Chile) | Narvaez-Montoya, Christian, Torres-Martinez, Juan Antonio, Pino-Vargas, Edwin, Cabrera-Olivera, Fredy, Loge, Frank J., Mahlknecht, Jurgen | Reforestation, Terrestrial Ecosystems, Permafrost, Rock Glaciers, Glacier Elevation/Ice Sheet Elevation, Glacier Motion/Ice Sheet Motion, Glacier Thickness/Ice Sheet Thickness, Glacier Topography/Ice Sheet Topography, Glaciers, Ice Sheets, Icebergs, Ice Deformation, Ice Depth/Thickness, Ice Edges, Ice Extent, Ice Floes, Ice Growth/Melt, Ice Roughness, Ice Temperature, Ice Types, Icebergs, Leads, Pack Ice, Polynyas, Reflectance, Sea Ice Motion, Ice Extent, Ice Growth/Melt, Ice Motion, Ice Velocity, Lake Ice, Permafrost, River Ice, Snow Cover, Landslides, Aeolian Landforms, Coastal Landforms, Fluvial Landforms, Glacial Landforms, Karst Landforms, Tectonic Landforms, Land Use/Land Cover Classification, Landscape Ecology, Landscape Patterns, Landscape Processes, Reforestation, Surface Roughness, Terrain Elevation, Topographic Effects, Barrier Islands, Beaches, Deltas, Dunes, Estuaries, Fjords, Inlets, Lagoons, Mangroves, Marshes, Rocky Coasts, Shorelines, Wind Waves, Surface Winds, Ice Deformation, Ice Depth/Thickness, Ice Edges, Ice Extent, Ice Floes, Ice Roughness, Ice Types, Icebergs, Leads, Pack Ice, Polynyas, Sea Ice Motion, Glacial Landforms, Caldera, Cinder Cone, Faults, Folds, Geyser, Graben, Horst, Lava Dome, Lava Plain, Maar, Mountains, Plateau, Ridge, Rift Valley, Tuya, Volcano, Tectonic Landforms, Earthquakes, Plate Tectonics, Volcanic Activity, Glacier Elevation/Ice Sheet Elevation, Glacier Motion/Ice Sheet Motion, Glacier Topography/Ice Sheet Topography, Glaciers, Ice Sheets, Icebergs, Ice Extent, Ice Growth/Melt, Ice Motion, Ice Velocity, Lake Ice, Permafrost, River Ice | ||
| Predicting Atmospheric Variables in the MERRA-2 Database using Neural Networks | Mathur, Bhavye | Geopotential Height, Atmospheric Ozone, Sea Level Pressure, Surface Pressure, Pressure Thickness, 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, Cloud Fraction, Altitude, Ozone Profiles, Sea Surface Topography |
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| Predicting Crimean-Congo Hemorrhagic Fever Outbreaks via Multivariate Time-Series Classification of Climate Data | Harris, Jonathan, Munasinghe, Thilanka, Tubbs, Heidi, Anyamba, Assaf | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | ||
| Predicting European cities' climate mitigation performance using machine learning | Hsu, Angel, Wang, Xuewei, Tan, Jonas, Toh, Wayne, Goyal, Nihit | 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), Air Temperature, Precipitation Rate, 24 Hour Maximum Temperature, 24 Hour Minimum Temperature, Boundaries, Population Estimates |
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| Predicting flood damage using the flood peak ratio and Giovanni Flooded | Ghaedi, Hamed, Reilly, Allison C., Baroud, Hiba, Perrucci, Daniel V., Ferreira, Celso M. | Heat Flux, Longwave Radiation, Shortwave Radiation, Evaporation, Evapotranspiration, Rain, Snow, Canopy Characteristics, Leaf Characteristics, Vegetation Cover, Snow Cover, Snow Depth, Snow Melt, Soil Moisture/Water Content, Soil Temperature, Albedo, Land Surface Temperature, Snow Water Equivalent, Rivers/Streams, Floods, Runoff | ||
| Predicting future community-level ocular Chlamydia trachomatis infection prevalence using serological, clinical, molecular, and geospatial data | Tedijanto, Christine, Aragie, Solomon, Tadesse, Zerihun, Haile, Mahteme, Zeru, Taye, Nash, Scott D., Wittberg, Dionna M., Gwyn, Sarah, Martin, Diana L., Sturrock, Hugh J. W., Lietman, Thomas M., Keenan, Jeremy D., Arnold, Benjamin F. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | ||
| Predicting global terrestrial biomes with the LeNet convolutional neural network | Sato, Hisashi, Ise, Takeshi | Vegetation Index, Vegetation Cover, Vegetation Index, Deciduous Vegetation, Reflectance | ||
| Predicting the distribution of arsenic in groundwater by a geospatial machine learning technique in the two most affected districts of Assam, India: The public health ... | Nath, Bibhash, Chowdhury, Runti, NiMeister, Wenge, Mahanta, Chandan | Land Use/Land Cover Classification | ||
| Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data | Ghosh, Sujit M., Behera, Mukunda D., Kumar, Subham, Das, Pulakesh, Prakash, Ambadipudi J., Bhaskaran, Prasad K., Roy, Parth S., Barik, Saroj K., Jeganathan, Chockalingam, Srivastava, Prashant K., Behera, Soumit K. | LIDAR WAVEFORM, Canopy Characteristics, Terrain Elevation | ||
| Predicting the steady-state isochronal stratigraphy of ice shelves using | Visnjevic, Vjeran, Drews, Reinhard, Schannwell, Clemens, Koch, Inka, Franke, Steven, Jansen, Daniela, Eisen, Olaf | Ice Velocity | ||
| Precipitation Retrieval from Fengyun-3D Microwave Humidity and | Liu, Kangwen, He, Jieying, Chen, Haonan | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | ||
| Precipitation stable isotopic signatures of tropical cyclones in Metropolitan Manila, Philippines, show significant negative isotopic excursions | Jackisch, Dominik, Yeo, Bi Xuan, Switzer, Adam D., He, Shaoneng, Cantarero, Danica Linda M., Siringan, Fernando P., Goodkin, Nathalie F. | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | ||
| Precipitation Trends Analysis Using Gridded Dynamic Sampling Zones: Case Study Yangtze Delta Megalopolis | Liu, Xiaolong, Fu, Dafang, Zevenbergen, Chris, Yu, Meixiu, Kumar, Alagarasan Jagadeesh | Total Surface Precipitation Rate | ||
| Precipitation-Use efficiency and its conversion with climate types in mainland china | Wang, Suping, Zhang, Qiang, Yue, Ping, Wang, Jianshun, Yang, Jinhu, Wang, Wei, Zhang, Hongli, Ren, Xueyuan | 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 | ||
| PrecipitationMoisture Coupling Over Tropical Oceans: Sequential Roles of Shallow, Deep, and Mesoscale Convective Systems | Chen, Xingchao, Leung, L. Ruby, Feng, Zhe, Yang, Qiu | Precipitation, Brightness Temperature, Precipitation Amount, Precipitation Rate, Snow, Rain |