
NCEP Global Forecast System (GFS) Analyses and Forecasts
d084006
| DOI: 10.5065/D65Q4TSG

Citation Statistics for this Dataset:
This dataset has been cited 21 times. See a list of published works that have cited this dataset Published works that have cited this dataset:
2024
Bower, E., K. A. Reed, G. J. Alaka, and A. T. Hazelton, 2024: Verification of Operational Forecast Models in Cases of Extratropical Transition of North Atlantic Hurricanes. Weather and Forecasting, 39(11), 1695-1714, https://doi.org/10.1175/WAF-D-24-0011.1
Chen, Z., A. Johnson, and X. Wang, 2024: Impact of Assimilating WindBorne Observations Following Different Parts of a TPV on the Predictability of an Arctic Cyclone During THINICE. Journal of Geophysical Research: Atmospheres, 129(24), https://doi.org/10.1029/2024JD042196
Chen, Z., A. Johnson, and X. Wang, 2024: Impact of Data Assimilation in Sensitive Features on the Predictability of the 2012 Great Arctic Cyclone. Journal of Geophysical Research: Atmospheres, 129(13), https://doi.org/10.1029/2023JD038851
Gao, X., X. Bao, S. Ma, Q. Chen, and B. Wang, 2024: An Online Assimilation Method to Improve the Numerical Forecast of Sea Fog Using Microwave Radiometer-Retrieved Cloud Water Path. Journal of Geophysical Research: Atmospheres, 129(1), https://doi.org/10.1029/2023JD040229
2023
Abe, S., J. H. Adams, D. Allard, P. Alldredge, L. Anchordoqui, A. Anzalone, E. Arnone, B. Baret, D. Barghini, M. Battisti, J. Bayer, R. Bellotti, A. A. Belov, M. Bertaina, P. F. Bertone, M. Bianciotto, P. L. Biermann, F. Bisconti, C. Blaksley, S. Blin-Bondil, P. Bobik, K. Bolmgren, S. Briz, J. Burton, F. Cafagna, G. Cambié, D. Campana, F. Capel, R. Caruso, M. Casolino, C. Cassardo, A. Castellina, K. Černý, M. J. Christl, R. Colalillo, L. Conti, G. Cotto, H. J. Crawford, R. Cremonini, A. Creusot, A. Cummings, A. de Castro Gónzalez, C. de la Taille, L. del Peral, R. Diesing, P. Dinaucourt, A. Di Nola, A. Ebersoldt, T. Ebisuzaki, J. Eser, F. Fenu, S. Ferrarese, G. Filippatos, W. W. Finch, F. Flaminio, C. Fornaro, D. Fuehne, C. Fuglesang, M. Fukushima, D. Gardiol, G. K. Garipov, A. Golzio, P. Gorodetzky, F. Guarino, C. Guépin, A. Guzmán, A. Haungs, T. Heibges, J. Hernández-Carretero, F. Isgrò, E. G. Judd, F. Kajino, I. Kaneko, Y. Kawasaki, M. Kleifges, P. A. Klimov, I. Kreykenbohm, J. F. Krizmanic, V. Kungel, E. Kuznetsov, F. López Martínez, S. Mackovjak, D. Mandát, M. Manfrin, A. Marcelli, L. Marcelli, W. Marszał, J. N. Matthews, A. Menshikov, T. Mernik, M. Mese, S. S. Meyer, J. Mimouni, H. Miyamoto, Y. Mizumoto, A. Monaco, J. Morales de los Ríos, S. Nagataki, J. M. Nachtman, D. Naumov, A. Neronov, T. Nonaka, T. Ogawa, S. Ogio, H. Ohmori, A. V. Olinto, Y. Onel, G. Osteria, A. Pagliaro, B. Panico, E. Parizot, I. H. Park, B. Pastircak, T. Paul, M. Pech, F. Perfetto, P. Picozza, L. W. Piotrowski, Z. Plebaniak, J. Posligua, R. Prevete, G. Prévôt, H. Prieto, M. Przybylak, M. Putis, E. Reali, P. Reardon, M. H. Reno, M. Ricci, M. Rodríguez Frías, G. Romoli, G. Sáez Cano, H. Sagawa, N. Sakaki, A. Santangelo, O. A. Saprykin, F. Sarazin, M. Sato, H. Schieler, P. Schovánek, V. Scotti, S. Selmane, S. A. Sharakin, K. Shinozaki, J. F. Soriano, J. Szabelski, N. Tajima, T. Tajima, Y. Takahashi, M. Takeda, Y. Takizawa, C. Tenzer, S. B. Thomas, L. G. Tkachev, T. Tomida, S. Toscano, M. Traïche, D. Trofimov, K. Tsuno, P. Vallania, L. Valore, T. M. Venters, C. Vigorito, P. von Ballmoos, M. Vrabel, S. Wada, J. Watts, A. Weindl, L. Wiencke, J. Wilms, D. Winn, H. Wistrand, I. V. Yashin, R. Young, and M. Y. Zotov, 2023: Developments and results in the context of the JEM-EUSO program obtained with the ESAF simulation and analysis framework. European Physical Journal C, 83(11), https://doi.org/10.1140/epjc/s10052-023-12090-w
Casolino, M., D. Barghini, M. Battisti, C. Blaksley, A. Belov, M. Bertaina, M. Bianciotto, F. Bisconti, S. Blin, K. Bolmgren, G. Cambie, F. Capel, Churilo, M. Crisconio, C. De la Taille, T. Ebisuzaki, J. Eser, F. Fenu, M. A. Franceschi, C. Fuglesang, A. Golzio, P. Gorodetzky, H. Kasuga, F. Kajino, P. Klimov, Kuznetsov, M. Manfrin, L. Marcelli, G. Mascetti, W. Marszal, H. Miyamoto, A. Murashov, T. Napolitano, H. Ohmori, A. Olinto, E. Parizot, P. Picozza, L. W. Piotrowski, Z. Plebaniak, G. Prevot, E. Reali, G. Romoli, M. Ricci, N. Sakaki, K. Shinozaki, J. Szabelski, Y. Takizawa, G. Valentini, M. Vrabel, and L. Wiencke, 2023: Observation of night-time emissions of the Earth in the near UV range from the International Space Station with the Mini-EUSO detector. Remote Sensing of Environment, 284, https://doi.org/10.1016/j.rse.2022.113336
Lopez-Bravo, C., C. L. Vincent, Y. Huang, and T. P. Lane, 2023: A Case Study of a West Sumatra Squall Line Using Satellite Observations. Monthly Weather Review, 151(2), 523-543, https://doi.org/10.1175/MWR-D-21-0194.1
Zhao, H., L. Di, L. Guo, C. Zhang, and L. Lin, 2023: An Automated Data-Driven Irrigation Scheduling Approach Using Model Simulated Soil Moisture and Evapotranspiration. Sustainability, 15(17), https://doi.org/10.3390/su151712908
2022
Zhao, H., L. Di, and Z. Sun, 2022: WaterSmart-GIS: A Web Application of a Data Assimilation Model to Support Irrigation Research and Decision Making. ISPRS International Journal of Geo-Information, 11(5), 271, https://doi.org/10.3390/ijgi11050271
2021
Hetlage, M. E., and C. Limbach, 2021: Combined rayleigh and raman airborne temperature lidar at 355 nm with a non-maxwellian barium vapor filter. AIAA Scitech 2021 Forum, American Institute of Aeronautics and Astronautics Inc, AIAA, 1-16, https://doi.org/10.2514/6.2021-1069
Kiely, L., D. V. Spracklen, S. R. Arnold, E. Papargyropoulou, L. Conibear, C. Wiedinmyer, C. Knote, and H. A. Adrianto, 2021: Assessing costs of Indonesian fires and the benefits of restoring peatland. Nature Communications, 12(1), https://doi.org/10.1038/s41467-021-27353-x
2020
Hsu, L., L. Tseng, S. Hou, B. Chen, and C. Sui, 2020: A Simulation Study of Kelvin Waves Interacting with Synoptic Events during December 2016 in the South China Sea and Maritime Continent. Journal of Climate, 33(15), 6345-6359, https://doi.org/10.1175/JCLI-D-20-0121.1
Saide, P. E., M. Gao, Z. Lu, D. L. Goldberg, D. G. Streets, J. Woo, A. Beyersdorf, C. A. Corr, K. L. Thornhill, B. Anderson, J. W. Hair, A. R. Nehrir, G. S. Diskin, J. L. Jimenez, B. A. Nault, P. Campuzano-Jost, J. Dibb, E. Heim, K. D. Lamb, J. P. Schwarz, A. E. Perring, J. Kim, M. Choi, B. Holben, G. Pfister, A. Hodzic, G. R. Carmichael, L. Emmons, and J. H. Crawford, 2020: Understanding and improving model representation of aerosol optical properties for a Chinese haze event measured during KORUS-AQ. Atmospheric Chemistry and Physics, 20(11), 6455-6478, https://doi.org/10.5194/acp-20-6455-2020
2019
Kiely, L., D. V. Spracklen, C. Wiedinmyer, L. Conibear, C. L. Reddington, S. Archer-Nicholls, D. Lowe, S. R. Arnold, C. Knote, M. F. Khan, M. T. Latif, M. Kuwata, S. H. Budisulistiorini, and L. Hapsari Budisulistiorini, 2019: New estimate of particulate emissions from Indonesian peat fires in 2015. Atmospheric Chemistry and Physics, 19(17), 11105-11121, https://doi.org/10.5194/acp-19-11105-2019
Reddington, C. L., L. Conibear, C. Knote, B. J. Silver, Y. J. Li, C. K. Chan, S. R. Arnold, and D. V. Spracklen, 2019: Exploring the impacts of anthropogenic emission sectors on PM2.5 and human health in South and East Asia. Atmospheric Chemistry and Physics, 19(18), 11887-11910, https://doi.org/10.5194/acp-19-11887-2019
Samalot, A., M. Astitha, J. Yang, and G. Galanis, 2019: Combined Kalman Filter and Universal Kriging to Improve Storm Wind Speed Predictions for the Northeastern United States. Weather and Forecasting, 34(3), 587-601, https://doi.org/10.1175/WAF-D-18-0068.1
2018
Conibear, L., E. W. Butt, C. Knote, S. R. Arnold, and D. V. Spracklen, 2018: Residential energy use emissions dominate health impacts from exposure to ambient particulate matter in India. Nature Communications, 9(1), https://doi.org/10.1038/s41467-018-02986-7
Ellenson, A., H. T. Özkan-Haller, and H. T. özkan-Haller, 2018: Predicting Large Ocean Wave Events Characterized by Bimodal Energy Spectra in the Presence of a Low-Level Southerly Wind Feature. Weather and Forecasting, 33(2), 479-499, https://doi.org/10.1175/WAF-D-17-0035.1
Ribeiro, F. N., A. P. de Oliveira, J. Soares, R. M. de Miranda, M. Barlage, and F. Chen, 2018: Effect of sea breeze propagation on the urban boundary layer of the metropolitan region of Sao Paulo, Brazil. Atmospheric Research, 214, 174-188, https://doi.org/10.1016/j.atmosres.2018.07.015
Yang, J., M. Astitha, L. Delle Monache, and S. Alessandrini, 2018: An Analog Technique to Improve Storm Wind Speed Prediction Using a Dual NWP Model Approach. Monthly Weather Review, 146(12), 4057-4077, https://doi.org/10.1175/MWR-D-17-0198.1
2017
He, J., D. W. Wanik, B. M. Hartman, E. N. Anagnostou, M. Astitha, and M. E. Frediani, 2017: Nonparametric Tree-Based Predictive Modeling of Storm Outages on an Electric Distribution Network. Risk Analysis, 37(3), 441-458, https://doi.org/10.1111/risa.12652
