
NCEP ADP Global Surface Observational Weather Data, October 1999 - continuing
d461000
| DOI: 10.5065/4F4P-E398

Citation Statistics for this Dataset:
This dataset has been cited 31 times. See a list of published works that have cited this dataset Published works that have cited this dataset:
2025
Deb, P., S. K. Panda, U. Mondal, S. K. Dash, and D. Sharma, 2025: 3DVAR meteorological data assimilation and aerosol impact on the simulation of heat wave 2022 over Haryana using WRF-Chem. Atmospheric Pollution Research, 16(4), https://doi.org/10.1016/j.apr.2025.102440
Huang, M., G. R. Carmichael, K. W. Bowman, I. De Smedt, A. Colliander, M. H. Cosh, S. V. Kumar, A. B. Guenther, S. J. Janz, R. M. Stauffer, A. M. Thompson, N. M. Fedkin, R. J. Swap, J. D. Bolten, and A. T. Joseph, 2025: Reactive nitrogen in and around the northeastern and mid-Atlantic US: sources, sinks, and connections with ozone. Atmospheric Chemistry and Physics, 25(3), 1449-1476, https://doi.org/10.5194/acp-25-1449-2025
Zhu, S., D. Li, S. Gao, Q. Xie, and X. Pan, 2025: Improving “23.07” Heavy Rainstorm Simulation Through Assimilating FY-3E MWTS-3 Radiance Data. Earth and Space Science, 12(5), https://doi.org/10.1029/2025EA004363
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
Ji, Y., H. Zhang, X. Yan, Y. Li, F. Chai, and H. Li, 2024: A review on atmospheric volatile halogenated hydrocarbons in China: ambient levels, trends and human health risks. Air Quality Atmosphere and Health, 17(2), 389-400, https://doi.org/10.1007/s11869-023-01449-3
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
Shi, S., and G. Liu, 2024: Improvements on Phase Classification Using Atmospheric Melting and Refreezing Energy Based on Soundings. Journal of Geophysical Research: Atmospheres, 129(10), https://doi.org/10.1029/2023JD040030
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
Chen, Y., A. Chan, C. G. Ooi, L. Li, and F. Y. Teo, 2023: Assessments of the WRF model in simulating 2021 extreme rainfall episode in Malaysia. Air Quality Atmosphere and Health, https://doi.org/10.1007/s11869-023-01442-w
Deng, S., P. Tuo, D. Chen, P. Yu, and S. Chen, 2023: Impact of offshore wind farms on a tropical depression through the amplification effect by the downstream mountainous terrain. Atmospheric Research, 296, https://doi.org/10.1016/j.atmosres.2023.107047
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
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
Rojas-Labanda, C., F. González-Rouco, E. García-Bustamante, J. Navarro, E. E. Lucio-Eceiza, G. Van der Schrier, and F. Kaspar, 2023: Surface wind over Europe: Data and variability. International Journal of Climatology, 43(1), 134-156, https://doi.org/10.1002/joc.7739
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
Liu, Z., Y. Lei, W. Xue, X. Liu, Y. Jiang, X. Shi, Y. Zheng, Q. Zhang, and J. Wang, 2022: Mitigating China's Ozone Pollution with More Balanced Health Benefits. Environmental Science & Technology, 56(12), 7647-7656, https://doi.org/10.1021/acs.est.2c00114
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
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, M., J. H. Crawford, J. P. DiGangi, G. R. Carmichael, K. W. Bowman, S. V. Kumar, and X. Zhan, 2021: Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US - Part 1: An overview. Atmospheric Chemistry and Physics, 21(14), 11013-11040, https://doi.org/10.5194/acp-21-11013-2021
Kiel, M., A. Eldering, D. D. Roten, J. C. Lin, S. Feng, R. Lei, T. Lauvaux, T. Oda, C. M. Roehl, J. Blavier, and L. T. Iraci, 2021: Urban-focused satellite CO2 observations from the Orbiting Carbon Observatory-3: A first look at the Los Angeles megacity. Remote Sensing of Environment, 258, https://doi.org/10.1016/j.rse.2021.112314
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
Shi, S., and G. Liu, 2021: The latitudinal dependence in the trend of snow event to precipitation event ratio. Scientific Reports, 11(1), https://doi.org/10.1038/s41598-021-97451-9
2019
Lu, Y., Y. Wang, W. Zhang, K. Hubacek, F. Bi, J. Zuo, H. Jiang, Z. Zhang, K. Feng, Y. Liu, and W. Xue, 2019: Provincial air pollution responsibility and environmental tax of China based on interregional linkage indicators. Journal of Cleaner Production, 235, 337-347, https://doi.org/10.1016/j.jclepro.2019.06.293
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
Lucio-Eceiza, E. E., J. Fidel Gonzalez-Rouco, J. Navarro, and H. Beltrami, 2018: Quality Control of Surface Wind Observations in Northeastern North America. Part I: Data Management Issues. Journal of Atmospheric and Oceanic Technology, 35(1), 163-182, https://doi.org/10.1175/JTECH-D-16-0204.1
Lucio-Eceiza, E. E., J. F. González-Rouco, J. Navarro, H. Beltrami, and J. Conte, 2018: Quality Control of Surface Wind Observations in Northeastern North America. Part II: Measurement Errors. Journal of Atmospheric and Oceanic Technology, 35(1), 183-205, https://doi.org/10.1175/JTECH-D-16-0205.1
Wang, C., and Z. Cui, 2018: Improvement of Short-Term Climate Prediction with Indirect Soil Variables Assimilation in China. Journal of Climate, 31(4), 1399-1412, https://doi.org/10.1175/JCLI-D-17-0210.1
2017
Hashimoto, A., M. Murakami, and S. Haginoya, 2017: First Application of JMA-NHM to Meteorological Simulation over the United Arab Emirates. Sola, 13, 146-150, https://doi.org/10.2151/sola.2017-027
