Read peer-reviewed publications that cite Lightning Imaging Sensor (LIS) data.
| Title | Year Sort ascending | Author | Topic | Dataset |
|---|---|---|---|---|
| Group Data and Detection Efficiency Analysis for the Modular | Bitzer, Phillip M., Lang, Timothy J., Quick, Mason G., Gatlin, Patrick, Chanrion, Olivier, stgaard, Nikolai, Vazquez, Francisco Gordillo, Neubert, Torsten | Lightning | ||
| Scenario set-up and the new CMIP6-based climate-related forcings provided within the third round of the Inter-Sectoral Model Intercomparison Project (ISIMIP3b ... | Frieler, Katja, Lange, Stefan, Schewe, Jacob, Mengel, Matthias, Treu, Simon, Otto, Christian, Volkholz, Jan, Reyer, Christopher P. O., Heinicke, Stefanie, Jones, Colin, Blanchard, Julia L., Harrison, Cheryl S., Petrik, Colleen M., Eddy, Tyler D., Ortega-Cisneros, Kelly, Novaglio, Camilla, Heneghan, Ryan, Tittensor, Derek P., Maury, Olivier, Buchner, Matthias, Vogt, Thomas, Quesada-Chacon, Dannell, Emanuel, Kerry, Lee, Chia-Ying, Camargo, Suzana J., Hamester, Linn, Jagermeyr, Jonas, Rabin, Sam, Klar, Jochen, Vega del Valle, Iliusi D., Novak, Lisa, Sauer, Inga J., Lasslop, Gitta, Chadburn, Sarah, Burke, Eleanor, Gallego-Sala, Angela, Smith, Noah, Chang, Jinfeng, Hantson, Stijn, Burton, Chantelle, Gadeke, Anne, Li, Fang, Gosling, Simon N., Muller Schmied, Hannes, Hattermann, Fred, Hickler, Thomas, Marce, Rafael, Pierson, Don, Thiery, Wim, Mercado-Bettin, Daniel, Ladwig, Robert, Ayala, Ana Isabel, Forrest, Matthew, Bechtold, Michel, Reinecke, Robert, de Graaf, Inge, Kaplan, Jed O., Koch, Alexander, Lengaigne, Matthieu, Kumar, Rohini, Strokal, Maryna | Lightning, Lightning | ||
| 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 | ||
| Lightning Imaging Sensor (LIS) and Optical Transient Detector (OTD) Missions, 19952023 | Cecil, Daniel J., Buechler, Dennis E., Lang, Timothy J., Virts, Katrina S., Mach, Douglas M. | Lightning, Lightning | ||
| Assessing the impact of the Human Development Index on historical trends in the INFERNO fire model | Teixeira, Joao C. M., Burton, Chantelle, Kelley, Douglas I., Folberth, Gerd A., O'Connor, Fiona M., Betts, Richard A., Voulgarakis, Apostolos | Lightning, Lightning | ||
| Simulating LightningInduced Tree Mortality in the Dynamic Global Vegetation Model LPJGUESS | Krause, Andreas, Gregor, Konstantin, Meyer, Benjamin F., Rammig, Anja | Lightning, Lightning | ||
| Representing improved tropospheric ozone distribution over the Northern Hemisphere by including lightning NOx emissions in CHIMERE | Ghosh, Sanhita, Cholakian, Arineh, Mailler, Sylvain, Menut, Laurent | Lightning, Lightning | ||
| Hunting for Gamma Rays above Thunderstorms: The ALOFT Campaign | Lang, Timothy J., stgaard, Nikolai, Marisaldi, Martino, Quick, Mason G., Schultz, Christopher J., Adams, Ian, Amiot, Corey G., Bitzer, Phillip, Blakeslee, Richard J., Brown, Robert G., Carmer, Kelly, Christian, Hugh, Clark, Austin, Cohen, Morris, Cummer, Steven, Fullekrug, Martin, Grove, J. Eric, Harkema, Sebastian, Heymsfield, Gerald, Krehbiel, Paul, Kroodsma, Rachael, Longenbaugh, Randall, Mach, Douglas, McLinden, Matthew Walker, Mezentsev, Andrey, Montanya, Joan, Pazos, Marni, Sarria, David, Shy, Daniel, Stanley, Mark A., Thomas, Ronald, Walker, T. Daniel, Younes, Camilo | Lightning | ||
| Lightning Climatology Datasets from TRMM LIS, ISS LIS, and OTD | Cecil, Daniel J., Buechler, Dennis E., Lang, Timothy J., Virts, Katrina S., Mach, Douglas M. | Lightning, Lightning, Lightning, Lightning | ||
| Lightning-Induced Precipitation as a Proxy for Inner Belt MeV Electron | Feinland, M. A., Blum, L. W. | Lightning, Lightning | ||
| Analysis of South Atlantic Anomaly Influence on Low-Earth Orbit | Clark, A. G., Lang, T. J., Fung, S., Mach, D., Buechler, D. E., Cecil, D. J. | Lightning, Lightning | ||
| Environmental drivers of spatial variation in tropical forest canopy height: Insights from NASA's GEDI spaceborne LiDAR | Liu, Shaoqing, Csillik, Ovidiu, Ordway, Elsa M., Chang, Li-Ling, Longo, Marcos, Keller, Michael, Moorcroft, Paul R. | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Lightning, Lightning | ||
| Contributions of lightning to long-term trends and inter-annual variability in global atmospheric chemistry constrained by Schumann Resonance observations | Wang, Xiaobo, Zhang, Yuzhong, Bozoki, Tamas, Liang, Ruosi, Xie, Xinchun, Zhao, Shutao, Wang, Rui, Zhao, Yujia, Sun, Shuai | Nitrogen Dioxide, Lightning, Lightning | ||
| Electricity consumption: The role of grid reliability in appliance ownership and usage in Rwanda | Mugyenyi, Joel, Sutil, Gabriel Gonzalez, Modi, Vijay | Lightning, Lightning | ||
| Projected changes in forest fire season, the number of fires, and burnt | Kinnunen, Outi, Backman, Leif, Aalto, Juha, Aalto, Tuula, Markkanen, Tiina | Population Estimates, Socioeconomics, Lightning, Lightning | ||
| Scenario setup and forcing data for impact model evaluation and impact attribution within the third round of the Inter-Sectoral Model Intercomparison Project ... | Frieler, Katja, Volkholz, Jan, Lange, Stefan, Schewe, Jacob, Mengel, Matthias, del Rocio Rivas Lopez, Maria, Otto, Christian, Reyer, Christopher P. O., Karger, Dirk Nikolaus, Malle, Johanna T., Treu, Simon, Menz, Christoph, Blanchard, Julia L., Harrison, Cheryl S., Petrik, Colleen M., Eddy, Tyler D., Ortega-Cisneros, Kelly, Novaglio, Camilla, Rousseau, Yannick, Watson, Reg A., Stock, Charles, Liu, Xiao, Heneghan, Ryan, Tittensor, Derek, Maury, Olivier, Buchner, Matthias, Vogt, Thomas, Wang, Tingting, Sun, Fubao, Sauer, Inga J., Koch, Johannes, Vanderkelen, Inne, Jagermeyr, Jonas, Muller, Christoph, Rabin, Sam, Klar, Jochen, Vega del Valle, Iliusi D., Lasslop, Gitta, Chadburn, Sarah, Burke, Eleanor, Gallego-Sala, Angela, Smith, Noah, Chang, Jinfeng, Hantson, Stijn, Burton, Chantelle, Gadeke, Anne, Li, Fang, Gosling, Simon N., Muller Schmied, Hannes, Hattermann, Fred, Wang, Jida, Yao, Fangfang, Hickler, Thomas, Marce, Rafael, Pierson, Don, Thiery, Wim, Mercado-Bettin, Daniel, Ladwig, Robert, Ayala-Zamora, Ana Isabel, Forrest, Matthew, Bechtold, Michel | Lakes/Reservoirs, Land Use/Land Cover, Lightning, Lightning | ||
| Time variation of cloud-to-ground lightning activity in several geographical regions of Colombia: A comparative analysis with different latitudes | Herrera-Murcia, Javier, Montana, J., Suarique-Agudelo, J., Younes, C., Porras, L.F. | Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps, Lightning, Lightning | ||
| The Thunderstorms With the Greatest Lightning Densities on Earth | Peterson, Michael | Lightning, Lightning | ||
| Spatiotemporal changes of lightning incidence and its relationship with dynamic and thermodynamic factors over a lightning prone tropical region | Nandhulal, K., Vishnu, R., Sreekanth, T. S., Varikoden, Hamza | Lightning, Lightning | ||
| Relationship between TTI and Various Thunderstorm Related Parameters over Kerala, India | Umakanth, N., Biswasharma, Rupraj, Gogineni, Rajesh, Kumar, P. Vinay, Lal, D. M., Deshpande, Sachin M., Rao, M. C. | Lightning, Lightning | ||
| Fire regimes of the Southern Appalachians may radically shift under climate change | Robbins, Zachary J., Loudermilk, E. Louise, Mozelewski, Tina G., Jones, Kate, Scheller, Robert M. | Lightning, Lightning, Reflectance, Shortwave Radiation, Air Temperature, Precipitation Amount, Terrain Elevation, Snow Water Equivalent | ||
| Future Increase in Lightning Around the South China Sea Under Climate | Xu, Liangtao, Cao, Xi, Lan, Xiaoqing, Zhang, Wenjuan, Sun, Chenghu, Zhang, Yijun | Aerosol Optical Depth/Thickness, Lightning, Lightning | ||
| Future projections of Siberian wildfire and aerosol emissions | Nurrohman, Reza Kusuma, Kato, Tomomichi, Ninomiya, Hideki, Vegh, Lea, Delbart, Nicolas, Miyauchi, Tatsuya, Sato, Hisashi, Shiraishi, Tomohiro, Hirata, Ryuichi | Population Size, Lightning, Lightning | ||
| Inter-Annual Lightning Variability within the TRMM LIS Dataset Using an ENSO Perspective | Clark, Austin G., Cecil, Daniel J. | Lightning, Lightning | ||
| An explainable machine learning technique to forecast lightning density over North-Eastern India | Mandal, Joyjit, Chatterjee, Chandrani, Das, Saurabh | Lightning, Lightning |
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