NCEP ADP Global Upper Air Observational Weather Data, October 1999 - continuing
d351000
| DOI: 10.5065/39C5-Z211
Citation Statistics for this Dataset:
This dataset has been cited 41 times. See a list of published works that have cited this dataset Published works that have cited this dataset:
2024
Diallo, M., L. Letang, B. Totel, P. Poncet, and P. Y. Andri P, 2024: Wind Speed Ramp Rate Predictions Using Wind Farm SCADA Data Assimilation and a WRF Ensemble. Journal of Physics: Conference Series, Institute of Physics, https://doi.org/10.1088/1742-6596/2745/1/012015
Meng, D., Z. Tan, J. Li, Z. Ma, and Y. Chen, 2024: Added Value of Three-Dimensional Horizontal Winds From Geostationary Interferometric Infrared Sounder for Typhoon Forecast in a Regional NWP Model. Journal of Geophysical Research: Atmospheres, 129(6), https://doi.org/10.1029/2024JD040736
Wan, S., F. Shen, J. Chen, L. Liu, D. Dong, and Z. He, 2024: Evaluation of Two Momentum Control Variable Schemes in Radar Data Assimilation and Their Impact on the Analysis and Forecast of a Snowfall Case in Central and Eastern China. Atmosphere, 15(3), 342, https://doi.org/10.3390/atmos15030342
Wang, S., W. Zhao, Q. Liu, J. Zhou, S. Crumeyrolle, X. Xu, C. Zhang, C. Ye, Y. Zheng, H. Che, and W. Zhang, 2024: Strong Aerosol Absorption and Its Radiative Effects in Lhasa on the Tibetan Plateau. Geophysical Research Letters, 51(6), https://doi.org/10.1029/2023GL107833
Zhang, T., L. Cao, S. Li, C. Zhan, J. Wang, and T. Zhao, 2024: Comprehensive sensitivity analysis of the WRF model for meteorological simulations in the Arctic. Atmospheric Research, 299, 107200, https://doi.org/10.1016/j.atmosres.2023.107200
Zhao, J., X. Ma, J. Quaas, and H. Jia, 2024: Exploring aerosol-cloud interactions in liquid-phase clouds over eastern China and its adjacent ocean using the WRF-Chem-SBM model. Atmospheric Chemistry and Physics, 24(16), 9101-9118, https://doi.org/10.5194/acp-24-9101-2024
2023
Caputi, D. J., J. Trousdell, S. Mehrotra, S. Conley, G. A. Alexander, H. J. Oldroyd, and I. Faloona, 2023: Entrainment Rates and Their Synoptic Dependence on Wind Speed Aloft in California's Central Valley. Boundary-Layer Meteorology, 186(3), 505-532, https://doi.org/10.1007/s10546-022-00770-1
Dong, Z., D. Ding, Y. Jiang, H. Zheng, J. Xing, and S. Wang, 2023: Responses of PM2.5 and O3 to Emission Reduction and Meteorology Variation and Their Policy Implications. Research of Environmental Sciences, 36, 223-236, https://doi.org/10.13198/j.issn.1001-6929.2022.11.03
Guerrette, J. J., Z. Liu, C. Snyder, B. Jung, C. S. Schwartz, J. Ban, S. Vahl, Y. Wu, I. H. Baños, Y. G. Yu, S. Ha, Y. Trémolet, T. Auligné, C. Gas, B. Ménétrier, A. Shlyaeva, M. Miesch, S. Herbener, E. Liu, D. Holdaway, and B. T. Johnson, 2023: Data assimilation for the Model for Prediction Across Scales - Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 2.0.0-beta): ensemble of 3D ensemble-variational (En-3DEnVar) assimilations. Geoscientific Model Development, 16(23), 7123-7142, https://doi.org/10.5194/gmd-16-7123-2023
Ho, S., X. Zhou, X. Shao, Y. Chen, X. Jing, and W. Miller, 2023: Using the Commercial GNSS RO Spire Data in the Neutral Atmosphere for Climate and Weather Prediction Studies. Remote Sensing, 15(19), 4836, https://doi.org/10.3390/rs15194836
Jing, X., S. Ho, X. Shao, T. Liu, Y. Chen, and X. Zhou, 2023: Spire RO Thermal Profiles for Climate Studies: Initial Comparisons of the Measurements from Spire, NOAA-20 ATMS, Radiosonde, and COSMIC-2. Remote Sensing, 15(15), 3710, https://doi.org/10.3390/rs15153710
Luo, Z., Y. Han, K. Hua, Y. Zhang, J. Wu, X. Bi, Q. Dai, B. Liu, Y. Chen, X. Long, and Y. Feng, 2023: The effect of emission source chemical profiles on simulated PM2.5 components: sensitivity analysis with the Community Multiscale Air Quality (CMAQ) modeling system version 5.0.2. Geoscientific Model Development, 16(22), 6757-6771, https://doi.org/10.5194/gmd-16-6757-2023
Yu, J., K. M. Han, C. H. Song, K. Lee, S. Lee, Y. Kim, J. Woo, S. Kim, and A. Wisthaler, 2023: Evaluation of biogenic emissions from three different vegetation distributions in South Korea. Atmospheric Environment, 296, https://doi.org/10.1016/j.atmosenv.2023.119588
2022
Alexander, G. A., H. A. Holmes, X. Sun, D. Caputi, I. C. Faloona, and H. J. Oldroyd, 2022: Simulating land-atmosphere coupling in the Central Valley, California: Investigating soil moisture impacts on boundary layer properties. Agricultural and Forest Meteorology, 317, 108898, https://doi.org/10.1016/j.agrformet.2022.108898
Chen, K., A. J. Newman, M. Huang, C. Coon, L. A. Darrow, M. J. Strickland, and H. A. Holmes, 2022: Estimating Heat-Related Exposures and Urban Heat Island Impacts: A Case Study for the 2012 Chicago Heatwave. GeoHealth, 6(1), https://doi.org/10.1029/2021GH000535
Meng, D., Y. Chen, J. Li, Z. Tan, P. Wang, J. Lee, J. Li, and Z. Li, 2022: The Potential Value of Combining Assimilation of Water Vapor Radiances and Cloud Liquid/Ice Water Path From ABI on Analyses and Forecasts for Hurricane Irma (2017). Journal of Geophysical Research: Atmospheres, 127(19), https://doi.org/10.1029/2022JD036910
Qiao, Z., S. Cui, C. Pei, Z. Ye, X. Wu, L. Lei, T. Luo, Z. Zhang, X. Li, and W. Zhu, 2022: Regional Predictions of Air Pollution in Guangzhou: Preliminary Results and Multi-Model Cross-Validations. Atmosphere, 13(10), 1527, https://doi.org/10.3390/atmos13101527
Wang, Y., E. A. Yaluk, H. Chen, S. Jiang, L. Huang, A. Zhu, S. Xiao, J. Xue, G. Lu, J. Bian, M. Kasemsan, K. Zhang, H. Liu, H. Tong, M. C. Ooi, A. Chan, and L. Li, 2022: The Importance of NOx Control for Peak Ozone Mitigation Based on a Sensitivity Study Using CMAQ-HDDM-3D Model During a Typical Episode Over the Yangtze River Delta Region, China. Journal of Geophysical Research: Atmospheres, 127(19), https://doi.org/10.1029/2022JD036555
Xu, J. Z., H. R. Zhang, Z. Cheng, J. Y. Liu, Y. Y. Xu, and Y. C. Wang, 2022: Approximating Three-Dimensional (3-D) Transport of Atmospheric Pollutants via Deep Learning. Earth and Space Science, 9(7), https://doi.org/10.1029/2022EA002338
2021
Huang, X., A. Ding, J. Gao, B. Zheng, D. Zhou, X. Qi, R. Tang, J. Wang, C. Ren, W. Nie, X. Chi, Z. Xu, L. Chen, Y. Li, F. Che, N. Pang, H. Wang, D. Tong, W. Qin, W. Cheng, W. Liu, Q. Fu, B. Liu, F. Chai, S. J. Davis, Q. Zhang, and K. He, 2021: Enhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China. National Science Review, 8(2), nwaa137, https://doi.org/10.1093/nsr/nwaa137
Jia, M., X. Huang, K. Ding, Q. Liu, D. Zhou, and A. Ding, 2021: Impact of data assimilation and aerosol radiation interaction on Lagrangian particle dispersion modelling. Atmospheric Environment, 247, 118179, https://doi.org/10.1016/j.atmosenv.2020.118179
Ooi, M. C., M. Chuang, J. S. Fu, S. S. Kong, W. Huang, S. Wang, S. Pimonsree, A. Chan, S. K. Pani, and N. Lin, 2021: Improving prediction of trans-boundary biomass burning plume dispersion: from northern peninsular Southeast Asia to downwind western North Pacific Ocean. Atmospheric Chemistry and Physics, 21(16), 12521-12541, https://doi.org/10.5194/acp-21-12521-2021
Piersante, J. O., R. S. Schumacher, and K. L. Rasmussen, 2021: Comparison of Biases in Warm-Season WRF Forecasts in North and South America. Weather and Forecasting, 36(3), 979-1001, https://doi.org/10.1175/WAF-D-20-0062.1
Yang, X., K. Wu, Y. Lu, S. Wang, Y. Qiao, X. Zhang, Y. Wang, H. Wang, Z. Liu, Y. Liu, and Y. Lei, 2021: Origin of regional springtime ozone episodes in the Sichuan Basin, China: Role of synoptic forcing and regional transport. Environmental Pollution, 278, 116845, https://doi.org/10.1016/j.envpol.2021.116845
Zhu, Y., Q. Hu, M. Gao, C. Zhao, C. Zhang, T. Liu, Y. Tian, L. Yan, W. Su, X. Hong, and C. Liu, 2021: Quantifying Contributions of Local Emissions and Regional Transport to NOX in Beijing Using TROPOMI Constrained WRF-Chem Simulation. Remote Sensing, 13(9), 1798, https://doi.org/10.3390/rs13091798
2020
Lin, H., X. Feng, T. Fu, H. Tian, Y. Ma, L. Zhang, D. J. Jacob, R. M. Yantosca, M. P. Sulprizio, E. W. Lundgren, J. Zhuang, Q. Zhang, X. Lu, L. Zhang, L. Shen, J. Guo, S. D. Eastham, and C. A. Keller, 2020: WRF-GC (v1.0): online coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.2.1) for regional atmospheric chemistry modeling - Part 1: Description of the one-way model. Geoscientific Model Development, 13(7), 3241-3265, https://doi.org/10.5194/gmd-13-3241-2020
Senatore, A., L. Furnari, and G. Mendicino, 2020: Impact of high-resolution sea surface temperature representation on the forecast of small Mediterranean catchments' hydrological responses to heavy precipitation. Hydrology and Earth System Sciences, 24(1), 269-291, https://doi.org/10.5194/hess-24-269-2020
Xu, W., L. Ning, and Y. Luo, 2020: Applying Satellite Data Assimilation to Wind Simulation of Coastal Wind Farms in Guangdong, China. Remote Sensing, 12(6), 973, https://doi.org/10.3390/rs12060973
Yang, X., Y. Lu, X. Zhu, J. He, Q. Jiang, K. Wu, H. Wang, X. Zhang, and S. Wang, 2020: Formation and Evolution Mechanisms of Severe Haze Pollution in the Sichuan Basin, Southwest China. Aerosol and Air Quality Research, 20(11), 2557-2567, https://doi.org/10.4209/aaqr.2020.04.0173
2019
He, H., X. Ren, S. E. Benish, Z. Li, F. Wang, Y. Wang, T. P. Canty, X. Dong, F. Lv, Y. Hu, T. Zhu, and R. R. Dickerson, 2019: Evaluation of Anthropogenic Emissions and Ozone Pollution in the North China Plain: Insights from the Air Chemistry Research in Asia (ARIAs) Campaign. Atmospheric Chemistry and Physics Discussions, 1-45, https://doi.org/10.5194/acp-2019-248
Odman, M. T., A. T. White, K. Doty, R. T. McNider, A. Pour-Biazar, M. Qin, Y. Hu, E. Knipping, Y. Wu, and B. Dornblaser, 2019: Examination of nudging schemes in the simulation of meteorology for use in air quality experiments: Application in the great lakes region. Journal of Applied Meteorology and Climatology, 58, 2421-2436, https://doi.org/10.1175/JAMC-D-18-0206.1
Senatore, A., L. Furnari, and G. Mendicino, 2019: Impact of high-resolution sea surface temperature representation on the forecast of small Mediterranean catchments’ hydrological responses to heavy precipitation. Hydrology and Earth System Sciences, 23, 269-291, https://doi.org/10.5194/HESS-2019-345-SUPPLEMENT
Wang, N., X. Lyu, X. Deng, X. Huang, F. Jiang, and A. Ding, 2019: Aggravating O3 pollution due to NOx emission control in eastern China. Science of The Total Environment, 677, 732-744, https://doi.org/10.1016/j.scitotenv.2019.04.388
2018
Chen, X. M., S. -. Chen, J. S. Haase, B. J. Murphy, K. -. Wang, J. L. Garrison, S. Y. Chen, C. Y. Huang, L. Adhikari, and F. Xie, 2018: The Impact of Airborne Radio Occultation Observations on the Simulation of Hurricane Karl (2010). Monthly Weather Review, 146(1), 329-350, https://doi.org/10.1175/MWR-D-17-0001.1
2017
Su, W., C. Liu, Q. Hu, G. Fan, Z. Xie, X. Huang, T. Zhang, Z. Chen, Y. Dong, X. Ji, H. Liu, Z. Wang, and J. Liu, 2017: Characterization of ozone in the lower troposphere during the 2016 G20 conference in Hangzhou. Scientific Reports, 7(1), 17368, https://doi.org/10.1038/s41598-017-17646-x
Sun, X., H. A. Holmes, O. O. Osibanjo, Y. Sun, and C. E. Ivey, 2017: Evaluation of Surface Fluxes in the WRF Model: Case Study for Farmland in Rolling Terrain. Atmosphere, 8(10), 197, https://doi.org/10.3390/atmos8100197
2016
Liu, H., C. Liu, Z. Xie, Y. Li, X. Huang, S. Wang, J. Xu, and P. Xie, 2016: A paradox for air pollution controlling in China revealed by “APEC Blue” and “Parade Blue”. Scientific Reports, 6(1), 34408, https://doi.org/10.1038/srep34408
2014
Gebhart, K. A., W. C. Malm, M. A. Rodriguez, M. G. Barna, B. A. Schichtel, K. B. Benedict, J. L. Collett, and C. M. Carrico, 2014: Meteorological and Back Trajectory Modeling for the Rocky Mountain Atmospheric Nitrogen and Sulfur Study II. Advances in Meteorology, 2014, e414015, https://doi.org/10.1155/2014/414015
Wang, K., and C. Liu, 2014: Transport of the Saharan dust air plumes over the tropical North Atlantic from FORMOSAT–3/COSMIC observation. Atmospheric Pollution Research, 5(3), 539-553, https://doi.org/10.5094/APR.2014.063
Yesubabu, V., C. V. Srinivas, S. S. Ramakrishna, and K. R. Hari Prasad, 2014: Impact of period and timescale of FDDA analysis nudging on the numerical simulation of tropical cyclones in the Bay of Bengal. Natural Hazards, 74(3), 2109-2128, https://doi.org/10.1007/s11069-014-1293-2
2011
Zhang, Y., S. Cheng, Y. Chen, and W. Wang, 2011: Application of MM5 in China: Model evaluation, seasonal variations, and sensitivity to horizontal grid resolutions. Atmospheric Environment, 45(20), 3454-3465, https://doi.org/10.1016/j.atmosenv.2011.03.019
