NCEP Climate Forecast System Version 2 (CFSv2) 6-hourly Products
d094000
| DOI: 10.5065/D61C1TXF
Citation Statistics for this Dataset:
This dataset has been cited 176 times. See a list of published works that have cited this dataset Published works that have cited this dataset:
2025
Chiang, Y., P. Huang, and Z. Yang, 2025: Coupled analysis of ocean-atmosphere interaction using A2CDOSE and SCHISM for radioactive dispersion following a north pacific nuclear incident. Kerntechnik, https://doi.org/10.1515/kern-2024-0132
Jiménez-Jiménez, S. I., M. de Jesús Marcial-Pablo, I. Sánchez-Cohen, W. Ojeda-Bustamante, M. A. Inzunza-Ibarra, and J. A. Urrieta-Velazquez, 2025: Estimating Reference Evapotranspiration Using Reanalysis Data from the Google Earth Engine: A Case Study From an Arid Hydrological Region in Mexico. Irrigation and Drainage, https://doi.org/10.1002/ird.3099
Li, Y., A. Thompson, Z. Zhang, and P. Parajuli, 2025: Evaluating Various Climate and Land-Use Products in Simulating Water Quality in Small Agricultural Watersheds. Journal of Hydrologic Engineering, 30, https://doi.org/10.1061/JHYEFF.HEENG-6323
Ou, Y., Z. G. Xue, and X. Hu, 2025: A numerical assessment of ocean alkalinity enhancement efficiency on a river-dominated continental shelf-a case study in the northern Gulf of Mexico. Environmental Research Letters, 20(2), https://doi.org/10.1088/1748-9326/adaa8b
Qian, S., H. Hu, K. I. Hodges, and X. Yang, 2025: Do Extratropical Cyclones Impact Synoptic-Scale Variability of the Arctic Oscillation During Cold Season?. Geophysical Research Letters, 52(2), https://doi.org/10.1029/2024gl112747
Renkl, C., E. C. Oliver, and K. R. Thompson, 2025: The alongshore tilt of mean dynamic topography and its implications for model validation and ocean monitoring. Ocean Science, 21(1), 181-198, https://doi.org/10.5194/os-21-181-2025
Uhlíková, T., T. Vihma, A. Y. Karpechko, and P. Uotila, 2025: Effects of Arctic sea-ice concentration on surface radiative fluxes in four atmospheric reanalyses. Cryosphere, 19(3), 1031-1046, https://doi.org/10.5194/tc-19-1031-2025
Zhang, Z., X. Chen, L. Chi, C. Yuan, J. Zhang, and S. Zhang, 2025: Large-Scale Climate Patterns Modulate Intraseasonal Mesoscale Activities in the Bay of Bengal. Geophysical Research Letters, 52(1), https://doi.org/10.1029/2024GL111578
2024
Blachut, C., and S. Balasuriya, 2024: Convective modes reveal the incoherence of the Southern Polar Vortex. Scientific Reports, 14(1), https://doi.org/10.1038/s41598-023-50411-x
Chen, X., Y. Tian, C. Zheng, and X. Liu, 2024: AutoST-Net: A Spatiotemporal Feature-Driven Approach for Accurate Forest Fire Spread Prediction from Remote Sensing Data. Forests, 15(4), https://doi.org/10.3390/f15040705
Debus, A., E. Beauchamp, J. Acworth, A. Ewolo, J. Kamga, A. Verhegghen, C. Zébazé, and E. R. Lines, 2024: A labelled dataset to classify direct deforestation drivers from Earth Observation imagery in Cameroon. Scientific Data, 11(1), https://doi.org/10.1038/s41597-024-03384-z
Degano, M. F., M. F. Degano, R. E. Rivas, M. I. Bayala, and M. I. Bayala, 2024: Determinación de la evapotranspiración con datos satelitales y de reanálisis utilizando Google Earth Engine. Tecnología y ciencias del agua, 15(4), 137-193, https://doi.org/10.24850/j-tyca-2024-04-04
Dzebre, D. E., C. Asiedu, E. Akowuah, S. Boahen, K. O. Amoabeng, and D. Oppong, 2024: An Assessment of the impacts of selected Meteorological and Land Use Land Cover Datasets on the accuracy of wind speeds downscaled with the Weather Research and Forecasting Model for coastal areas in Ghana. Journal of Renewable Energies, 27, 99-114, https://doi.org/10.54966/jreen.v27i1.1162
Feng, Q., G. Han, Y. Liu, X. Lin, B. Li, X. Gao, C. Dong, Y. He, and H. Wang, 2024: Application of data-driven mixing parameterization scheme in a regional ocean model. Ocean Modelling, 188, 102325, https://doi.org/10.1016/j.ocemod.2024.102325
Fujisaki-Manome, A., H. Hu, J. Wang, J. Westerink, D. Wirasaet, G. Ling, M. Choi, S. Moghimi, E. Myers, A. Abdolali, C. Dawson, and C. Janzen, 2024: Advanced sea ice modeling for short-term forecasting for Alaska’s coasts. Weather and Forecasting, -1(aop), https://doi.org/10.1175/WAF-D-23-0178.1
Gomez, M., R. Aranguiz, and M. Mall, 2024: Analysis of climate change and climate variability impacts on coastal storms induced by extratropical cyclones: a case study of the August 2015 storm in central Chile. Coastal Engineering Journal, https://doi.org/10.1080/21664250.2024.2392355
Kang, J. M., T. A. Shaw, and L. Sun, 2024: Anthropogenic Aerosols Have Significantly Weakened the Regional Summertime Circulation in the Northern Hemisphere During the Satellite Era. AGU Advances, 5(6), https://doi.org/10.1029/2024av001318
Kumar, P., A. K. Ranjan, and A. K. Gorai, 2024: Investigations on Aerosol and Particulate Matter Dynamics During 2001–2021 Using Satellite, In Situ, and Reanalysis Datasets over the Mining-Dominated State Odisha, India. Aerosol Science and Engineering, 8, 87-107, https://doi.org/10.1007/s41810-023-00208-2
Liu, E., Y. Zhu, J. Calvet, H. Lü, B. Bonan, J. Zheng, Q. Gou, X. Wang, Z. Ding, H. Xu, Y. Pan, and T. Chen, 2024: Evaluation of root zone soil moisture products over the Huai River basin. Hydrology and Earth System Sciences, 28(11), 2375-2400, https://doi.org/10.5194/hess-28-2375-2024
Luo, Z., S. Zhang, Q. Shao, L. Wang, S. Wang, and L. Wang, 2024: A new method to improve precipitation estimates by blending multiple satellite/reanalysis-based precipitation products and considering observations and terrestrial water budget balance. Journal of Hydrology, 635, 131188, https://doi.org/10.1016/j.jhydrol.2024.131188
Mai, B., Y. Diao, H. Yang, T. Deng, Y. Zou, Y. Wang, W. Lan, X. Liu, and X. Deng, 2024: Assessing atmospheric CO2 concentrations and contributions from biogenic and anthropogenic sources in the Pearl River Delta region. Urban Climate, 54, 101864, https://doi.org/10.1016/j.uclim.2024.101864
Makhasana, P. R., J. A. Santanello, P. M. Lawston-Parker, and J. K. Roundy, 2024: Deducing land-atmosphere coupling regimes from SMAP soil moisture. Hydrology and Earth System Sciences, 28(22), 5087-5106, https://doi.org/10.5194/hess-28-5087-2024
Mankin, K. R., S. Mehan, T. R. Green, and D. M. Barnard, 2024: Review of Gridded Climate Products and Their Use in Hydrological Analyses Reveals Overlaps, Gaps, and Need for More Objective Approach to Model Forcings. Hydrology and Earth System Sciences Discussions, 1-36, https://doi.org/10.5194/hess-2024-58
Martineau, P., S. K. Behera, M. Nonaka, H. Nakamura, and Y. Kosaka, 2024: Seasonally dependent increases in subweekly temperature variability over Southern Hemisphere landmasses detected in multiple reanalyses. Weather and Climate Dynamics, 5(1), 1-15, https://doi.org/10.5194/wcd-5-1-2024
Menut, L., A. Cholakian, R. Pennel, G. Siour, S. Mailler, M. Valari, L. Lugon, and Y. Meurdesoif, 2024: The CHIMERE chemistry-transport model v2023r1. Geoscientific Model Development, 17(14), 5431-5457, https://doi.org/10.5194/gmd-17-5431-2024
Nathan, B., J. D. Maasakkers, S. Naus, R. Gautam, M. Omara, D. J. Varon, M. P. Sulprizio, L. A. Estrada, A. Lorente, T. Borsdorff, R. J. Parker, and I. Aben, 2024: Assessing methane emissions from collapsing Venezuelan oil production using TROPOMI. Atmospheric Chemistry and Physics, 24(11), 6845-6863, https://doi.org/10.5194/acp-24-6845-2024
Ou, Y., and Z. G. Xue, 2024: Hydrodynamic and biochemical impacts on the development of hypoxia in the Louisiana-Texas shelf - Part 1: roles of nutrient limitation and plankton community. Biogeosciences, 21(10), 2385-2424, https://doi.org/10.5194/bg-21-2385-2024
Perry, Z., R. Rapolaki, S. Roffe, and M. Ragoasha, 2024: Analysing the atmospheric-oceanic conditions driving the sustained long track and intensity of Tropical Cyclone Freddy. Tropical Cyclone Research and Review, 13(4), 356-388, https://doi.org/10.1016/j.tcrr.2024.11.008
Qian, S., H. Hu, K. I. Hodges, X. Yang, and T. Song, 2024: Synergistic Forcing of the Troposphere and Stratosphere on Explosively Developing Cyclones Over the North Pacific During Cold Season. Geophysical Research Letters, 51(17), https://doi.org/10.1029/2024GL110069
Qian, X., G. Liao, L. Zhou, and J. Xie, 2024: Effect of the different stratification changes along the two sides of a typhoon track on near-inertial energy propagation. Ocean Modelling, 188, 102309, https://doi.org/10.1016/j.ocemod.2023.102309
Sun, S., and A. Solomon, 2024: Suitability of the CICE sea ice model for seasonal prediction and positive impact of CryoSat-2 ice thickness initialization. The Cryosphere, 18(7), 3033-3048, https://doi.org/10.5194/tc-18-3033-2024
Surunis, A., and K. E. Gleason, 2024: Modelling postfire recovery of snow albedo and forest structure to understand drivers of decades of reduced snow water storage and advanced snowmelt timing. Hydrological Processes, 38, https://doi.org/10.1002/hyp.15246
Uhlíková, T., T. Vihma, A. Y. Karpechko, and P. Uotila, 2024: Effects of Arctic sea-ice concentration on turbulent surface fluxes in four atmospheric reanalyses. Cryosphere, 18(2), 957-976, https://doi.org/10.5194/tc-18-957-2024
Wang, X., J. Zhou, J. Ma, P. Luo, X. Fu, X. Feng, X. Zhang, Z. Jia, X. Wang, and X. Huang, 2024: Evaluation and Comparison of Reanalysis Data for Runoff Simulation in the Data-Scarce Watersheds of Alpine Regions. Remote Sensing, 16(5), 751, https://doi.org/10.3390/rs16050751
Yan, S., Y. Chen, Y. Hou, K. Liu, X. Li, Y. Xing, D. Wu, J. Cui, Y. Zhou, W. Pu, and X. Wang, 2024: Which global reanalysis dataset has better representativeness in snow cover on the Tibetan Plateau?. Cryosphere, 18(9), 4089-4109, https://doi.org/10.5194/tc-18-4089-2024
Yang, G., M. Zhang, G. Luo, and T. Liu, 2024: Fluctuations of discharge and hydropower potential in the upper Amu Darya under the background of climate change. Journal of Hydrology: Regional Studies, 51, 101615, https://doi.org/10.1016/j.ejrh.2023.101615
Yang, Z., P. Huang, and Y. Chiang, 2024: A quick parameter configuration tool for SCHISM's ocean transport simulation of radioactive materials. Kerntechnik, 89(5), 658-666, https://doi.org/10.1515/kern-2024-0071
Yu, H., J. Ma, H. Wang, Q. Xing, and L. Jiang, 2024: An Extreme Marine Heatwave Event in the Yellow Sea during Winter 2019/20: Causes and Consequences. Remote Sensing, 16(1), 33, https://doi.org/10.3390/rs16010033
Zhou, Q., W. Chen, H. Wang, and D. Wang, 2024: Spatiotemporal evolution and driving factors analysis of fractional vegetation coverage in the arid region of northwest China. Science of the Total Environment, 954, https://doi.org/10.1016/j.scitotenv.2024.176271
2023
Aboelkhair, H., and M. Morsy, 2023: Extreme warm and cold waves derived from multiple high-resolution gridded datasets in Egypt. Theoretical and Applied Climatology, 155(2), 1321-1341, https://doi.org/10.1007/s00704-023-04692-x
Bondur, V., O. Chvertkova, and V. Zamshin, 2023: Studying Conditions of Intense Harmful Algal Blooms Based on Long-Term Satellite Data. Remote Sensing, 15(22), 5308, https://doi.org/10.3390/rs15225308
Cao, W., S. Nie, L. Ma, and L. Zhao, 2023: Statistical Evaluation of the Performance of Gridded Daily Precipitation Products from Reanalysis Data, Satellite Estimates, and Merged Analyses over Global Land. Remote Sensing, 15(18), 4602, https://doi.org/10.3390/rs15184602
Dirkes, C. A., A. A. Wing, S. J. Camargo, and D. Kim, 2023: Process-Oriented Diagnosis of Tropical Cyclones in Reanalyses Using a Moist Static Energy Variance Budget. Journal of Climate, 36(16), 5293-5317, https://doi.org/10.1175/jcli-d-22-0384.1
Fu, S., W. Huang, J. Luo, Z. Yang, H. Fu, Y. Luo, and B. Wang, 2023: Deep Learning-Based Sea Surface Roughness Parameterization Scheme Improves Sea Surface Wind Forecast. Geophysical Research Letters, 50(24), https://doi.org/10.1029/2023GL106580
Gore, M. J., C. M. Zarzycki, and M. M. Gervais, 2023: Connecting Large-Scale Meteorological Patterns to Extratropical Cyclones in CMIP6 Climate Models Using Self-Organizing Maps. Earth's Future, 11(8), https://doi.org/10.1029/2022EF003211
Hernandez-Hamon, H., P. Z. Ramirez, M. Zaraza, and A. Micallef, 2023: Google Earth Engine app using Sentinel 1 SAR and deep learning for ocean seep methane detection and monitoring. Remote Sensing Applications-society and Environment, 32, https://doi.org/10.1016/j.rsase.2023.101036
Jiang, Y., W. Zhang, H. Wang, and X. Zhang, 2023: Assessing the Spatio-Temporal Features and Mechanisms of Symmetric Instability Activity Probability in the Central Part of the South China Sea Based on a Regional Ocean Model. Journal of Marine Science and Engineering, 11(2), 431, https://doi.org/10.3390/jmse11020431
Kanwal, A., Z. u. Tahir, M. Asim, N. Hayat, M. Farooq, M. Abdullah, and M. Azhar, 2023: Evaluation of Reanalysis and Analysis Datasets against Measured Wind Data for Wind Resource Assessment. Energy & Environment, 34(5), 1258-1284, https://doi.org/10.1177/0958305x221084078
Lee, Y. J., W. Maslowski, J. J. Cassano, J. Clement Kinney, A. P. Craig, S. Kamal, R. Osinski, M. W. Seefeldt, J. Stroeve, and H. Wang, 2023: Causes and evolution of winter polynyas north of Greenland. The Cryosphere, 17(1), 233-253, https://doi.org/10.5194/tc-17-233-2023
Mendoza-Lara, O. O., C. Y. Ortega-Montoya, A. I. Hinojosa, A. O. Lopez-Perez, and J. M. Baldasano, 2023: An empirical and modelling approach to the evaluation of cruise ships' influence on air quality: The case of La Paz, Mexico. Science of the Total Environment, 886, https://doi.org/10.1016/j.scitotenv.2023.163855
Mitchell, K. B., C. James, J. Gascooke, and S. C. Leterme, 2023: Modelling marine microplastics accumulation zones through freshwater discharge sources: Simulated release from the Onkaparinga River and Torrens River, South Australia. Marine Pollution Bulletin, 194, https://doi.org/10.1016/j.marpolbul.2023.115334
Nathan, B., J. D. Maasakkers, S. Naus, R. Gautam, M. Omara, D. J. Varon, M. P. Sulprizio, A. Lorente, T. Borsdorff, R. J. Parker, and I. Aben, 2023: Assessing methane emissions from collapsing Venezuelan oil production using TROPOMI. EGUsphere, 1-27, https://doi.org/10.5194/egusphere-2023-2887
Obarein, O. A., C. C. Lee, E. T. Smith, and S. C. Sheridan, 2023: Evaluating Medium-Range Forecast Performance of Regional-Scale Circulation Patterns. Weather and Forecasting, 38(8), 1467-1480, https://doi.org/10.1175/WAF-D-22-0149.1
Peng, Z., R. Tang, M. Liu, Y. Jiang, and Z. Li, 2023: Coupled estimation of global 500m daily aerodynamic roughness length, zero-plane displacement height and canopy height. Agricultural and Forest Meteorology, 342, 109754, https://doi.org/10.1016/j.agrformet.2023.109754
Poplavsky, E., A. Kuznetsova, and Y. Troitskaya, 2023: Wind Speed Analysis Method within WRF-ARW Tropical Cyclone Modeling. Journal of Marine Science and Engineering, 11(6), 1239, https://doi.org/10.3390/jmse11061239
Qian, S., H. Hu, X. Ren, X. Yang, P. Yu, and K. Mao, 2023: Synergistic Effects of Upstream Disturbances and Oceanic Fronts on the Subseasonal Evolution of Western Pacific Jet Stream in Winter. Journal of Geophysical Research: Atmospheres, 128(17), https://doi.org/10.1029/2022JD038331
Sun, S., and A. Solomon, 2023: Suitability of CICE Sea Ice Model for Seasonal Prediction and Positive Impact of CryoSat-2 Ice Thickness Initialization. The Cryosphere Discussions, 1-22, https://doi.org/10.5194/tc-2023-116
Wang, Z., G. Liu, W. Li, H. Wang, and D. Wang, 2023: Development of the Operational Oceanography Forecasting System in the Northwest Pacific. Journal of Physics: Conference Series, 2486(1), 012032, https://doi.org/10.1088/1742-6596/2486/1/012032
Wu, P., Q. Meng, Y. Zhang, C. Zhan, M. Allam, L. Zhang, and X. Hu, 2023: Coarse-graining research of the thermal infrared anomalies before earthquakes in the Sichuan area on Google Earth engine. Frontiers in Earth Science, 11, https://doi.org/10.3389/feart.2023.1101165
Yan, N., W. Zhu, B. Wu, B. Tuvdendorj, S. Chang, O. Mishigdorj, and X. Zhang, 2023: Assessment of the grassland carrying capacity for winter-spring period in Mongolia. Ecological Indicators, 146, 109868, https://doi.org/10.1016/j.ecolind.2023.109868
Yuan, P., R. Van Malderen, X. Yin, H. Vogelmann, W. Jiang, J. Awange, B. Heck, and H. Kutterer, 2023: Characterisations of Europe's integrated water vapour and assessments of atmospheric reanalyses using more than 2 decades of ground-based GPS. Atmospheric Chemistry and Physics, 23(6), 3517-3541, https://doi.org/10.5194/acp-23-3517-2023
Zhou, J., X. Wang, J. Ma, Z. Jia, X. Wang, X. Zhang, X. Feng, Z. Sun, Y. Tu, and W. Yao, 2023: An approach to select optimum inputs for hydrological modeling to improve simulation accuracy in data-scarce regions. Journal of Hydrology: Regional Studies, 47, 101447, https://doi.org/10.1016/j.ejrh.2023.101447
2022
Akter, N., 2022: Tropical cyclogenesis associated with premonsoon climatological dryline over the Bay of Bengal. Natural Hazards, 112(3), 2625-2647, https://doi.org/10.1007/s11069-022-05281-3
Biswas, N. K., T. A. Stanley, D. B. Kirschbaum, P. M. Amatya, C. Meechaiya, A. Poortinga, and P. Towashiraporn, 2022: A dynamic landslide hazard monitoring framework for the Lower Mekong Region. Frontiers in Earth Science, 10, https://doi.org/10.3389/feart.2022.1057796
Bondur, V. G., M. N. Tsidilina, E. V. Gaponova, and O. S. Voronova, 2022: Joint Analysis of Anomalous Variations of Different Geophysical Fields According to Satellite Data during M5.6 Earthquake Preparation in the Area of Lake Baikal on 22 September 2020. Issledovanie Zemli iz Kosmosa, 2022, 3-19, https://doi.org/10.31857/S0205961422050049
Bondur, V. G., M. N. Tsidilina, E. V. Gaponova, and O. S. Voronova, 2022: Combined Analysis of Anomalous Variations in Various Geophysical Fields during Preparation of the M5.6 Earthquake near Lake Baikal on September 22, 2020, Based on Satellite Data. Izvestiya - Atmospheric and Ocean Physics, 58(12), 1532-1545, https://doi.org/10.1134/S0001433822120052
Cortés, J., F. Lucero, L. Suarez, C. Escauriaza, S. A. Navarrete, G. Tampier, C. Cifuentes, R. Cienfuegos, D. Manriquez, B. Parragué, N. Osiadacz, and R. Finke, 2022: Open Sea Lab: An integrated Coastal Ocean Observatory Powered by Wave Energy. Journal of Marine Science and Engineering, 10(9), 1249, https://doi.org/10.3390/jmse10091249
Jiao, X., J. Zhang, Q. Li, and C. Li, 2022: Observational Study on the Variability of Mixed Layer Depth in the Bering Sea and the Chukchi Sea in the Summer of 2019. Frontiers in Marine Science, 9, https://doi.org/10.3389/fmars.2022.862857
Kueh, M., and C. Lin, 2022: Warming Trend and Cloud Responses over the Indochina Peninsula during Monsoon Transition. Remote Sensing, 14(16), 4077, https://doi.org/10.3390/rs14164077
Liu, L., S. Davedu, A. Fujisaki-Manome, H. Hu, C. Jablonowski, and P. Y. Chu, 2022: Machine Learning Model-Based Ice Cover Forecasting for a Vital Waterway in Large Lakes. Journal of Marine Science and Engineering, 10(8), 1022, https://doi.org/10.3390/jmse10081022
Maasakkers, J. D., M. Omara, R. Gautam, A. Lorente, S. Pandey, P. Tol, T. Borsdorff, S. Houweling, and I. Aben, 2022: Reconstructing and quantifying methane emissions from the full duration of a 38-day natural gas well blowout using space-based observations. Remote Sensing of Environment, 270, 112755, https://doi.org/10.1016/j.rse.2021.112755
Mistry, M. N., 2022: "Chapter 2 - The role of climate datasets in understanding climate extremes", in Climate Impacts on Extreme Weather. Ed. V. Ongoma, and H. Tabari, Elsevier, 19-48.
Oliveira, K. D., J. Tomasella, R. d. Caram, A. S. Falck, and I. D. Sanches, 2022: Impacts of sugarcane expansion on water availability in a river basin in southeastern Brazil. Catena, 216, 106437, https://doi.org/10.1016/j.catena.2022.106437
Ou, Y., B. Li, and Z. G. Xue, 2022: Hydrodynamic and biochemical impacts on the development of hypoxia in the Louisiana-Texas shelf - Part 2: statistical modeling and hypoxia prediction. Biogeosciences, 19(15), 3575-3593, https://doi.org/10.5194/bg-19-3575-2022
Peng, D., T. Zhou, Y. Sun, and A. Lin, 2022: Interannual Variation in Moisture Sources for the First Rainy Season in South China Estimated by the FLEXPART Model. Journal of Climate, 35(2), 745-761, https://doi.org/10.1175/JCLI-D-21-0289.1
Pugmire, D., J. Huang, K. Moreland, and S. Klasky, 2022: "The Need for Pervasive In Situ Analysis and Visualization (P-ISAV)", in High Performance Computing. ISC High Performance 2022 International Workshops. Ed. H. Anzt, A. Bienz, P. Luszczek, and M. Baboulin, Springer, 306-316.
Riegel, K. A., and V. W. Sparrow, 2022: Secondary sonic boom predictions for U.S. coastlines. The Journal of the Acoustical Society of America, 152(5), 2816-2827, https://doi.org/10.1121/10.0014860
Salazar-Martínez, D., F. Holwerda, T. R. Holmes, E. A. Yépez, C. R. Hain, S. Alvarado-Barrientos, G. Ángeles-Pérez, T. Arredondo-Moreno, J. Delgado-Balbuena, B. Figueroa-Espinoza, J. Garatuza-Payán, E. González del Castillo, J. C. Rodríguez, N. E. Rojas-Robles, J. M. Uuh-Sonda, and E. R. Vivoni, 2022: Evaluation of remote sensing-based evapotranspiration products at low-latitude eddy covariance sites. Journal of Hydrology, 610, 127786, https://doi.org/10.1016/j.jhydrol.2022.127786
Shan, H., C. Dong, and J. Liang, 2022: Influence of sea surface wave-dependent roughness on summer precipitation over the Southeastern United States. Deep Sea Research Part II: Topical Studies in Oceanography, 206, 105209, https://doi.org/10.1016/j.dsr2.2022.105209
Shi, Q., and G. Wang, 2022: Satellite observed quick shift events of the wind jet over the South China Sea in summer and its impacts on the ocean circulation. Remote Sensing of Environment, 276, 113039, https://doi.org/10.1016/j.rse.2022.113039
Spurlock, W. M., M. J. Aftosmis, and M. Nemec, 2022: Cartesian Mesh Simulations for the Third AIAA Sonic Boom Prediction Workshop. Journal of Aircraft, 59(3), 708-724, https://doi.org/10.2514/1.c036405
Thankaswamy, A., T. Xian, Y. Ma, and L. Wang, 2022: Sensitivity to Different Reanalysis Data on WRF Dynamic Downscaling for South China Sea Wind Resource Estimations. Atmosphere, 13(5), 771, https://doi.org/10.3390/atmos13050771
Viceto, C., I. V. Gorodetskaya, A. Rinke, M. Maturilli, A. Rocha, and S. Crewell, 2022: Atmospheric rivers and associated precipitation patterns during the ACLOUD and PASCAL campaigns near Svalbard (May-June 2017): case studies using observations, reanalyses, and a regional climate model. Atmospheric Chemistry and Physics, 22(1), 441-463, https://doi.org/10.5194/acp-22-441-2022
Yang, Z., Y. Lin, and S. Dong, 2022: Weather window and efficiency assessment of offshore wind power construction in China adjacent seas using the calibrated SWAN model. Ocean Engineering, 259, 111933, https://doi.org/10.1016/j.oceaneng.2022.111933
Zhang, L., and Z. G. Xue, 2022: A Numerical reassessment of the Gulf of Mexico carbon system in connection with the Mississippi River and global ocean. Biogeosciences, 19, 4589-4618, https://doi.org/10.5194/bg-19-4589-2022
Zhu, X., Z. Zu, S. Ren, M. Zhang, Y. Zhang, H. Wang, and A. Li, 2022: Improvements in the regional South China Sea Operational Oceanography Forecasting System (SCSOFSv2). Geoscientific Model Development, 15(3), 995-1015, https://doi.org/10.5194/gmd-15-995-2022
2021
Aliaga, D., V. A. Sinclair, M. Andrade, P. Artaxo, S. Carbone, E. Kadantsev, P. Laj, A. Wiedensohler, R. Krejci, and F. Bianchi, 2021: Identifying source regions of air masses sampled at the tropical high-altitude site of Chacaltaya using WRF-FLEXPART and cluster analysis. Atmospheric Chemistry and Physics, 21(21), 16453-16477, https://doi.org/10.5194/acp-21-16453-2021
Carvalho, J. M., and T. Bleninger, 2021: State-transition matrices as an analysis and forecasting tool applied to water quality in reservoirs. Revista Brasileira de Recursos Hidricos, 26, https://doi.org/10.1590/2318-0331.262120210072
Crumley, R. L., D. F. Hill, K. Wikstrom Jones, G. J. Wolken, A. A. Arendt, C. M. Aragon, and C. Cosgrove, 2021: Assimilation of citizen science data in snowpack modeling using a new snow data set: Community Snow Observations. Hydrology and Earth System Sciences, 25(9), 4651-4680, https://doi.org/10.5194/hess-25-4651-2021
Dubey, S., H. Gupta, M. K. Goyal, and N. Joshi, 2021: Evaluation of precipitation datasets available on Google earth engine over India. International Journal of Climatology, 41, 4844-4863, https://doi.org/10.1002/joc.7102
Garibay, V. M., M. W. Gitau, N. Kiggundu, D. Moriasi, and F. Mishili, 2021: Evaluation of Reanalysis Precipitation Data and Potential Bias Correction Methods for Use in Data-Scarce Areas. Water Resources Management, 35, 1587-1602, https://doi.org/10.1007/s11269-021-02804-8
Hammad, A. T., G. Falchetta, and I. B. Wirawan, 2021: Back to the fields? Increased agricultural land greenness after a COVID-19 lockdown. Environmental Research Communications, 3(5), 051007, https://doi.org/10.1088/2515-7620/ABFFA4
Hiraga, Y., Y. Iseri, M. D. Warner, C. D. Frans, A. M. Duren, J. F. England, and M. L. Kavvas, 2021: Estimation of Long-duration Maximum Precipitation during a winter season for large basins dominated by Atmospheric Rivers using a Numerical Weather Model. Journal of Hydrology, 598, 126224, https://doi.org/10.1016/j.jhydrol.2021.126224
Hsiao, F., Y. Chen, H. Van Nguyen, D. E. Hitzl, and R. Ballard, 2021: Effects of trade wind strength on airflow and cloudiness over oahu. Monthly Weather Review, 149(9), 3037-3062, https://doi.org/10.1175/MWR-D-20-0399.1
Imberger, M., X. G. Larsén, and N. Davis, 2021: Strength and Challenges of global model MPAS with regional mesh refinement for mid-latitude storm forecasting: a case study. Advances in Geosciences, 56, 77-87, https://doi.org/10.5194/adgeo-56-77-2021
Iseri, Y., A. J. Diaz, T. Trinh, M. L. Kavvas, K. Ishida, M. L. Anderson, N. Ohara, and E. D. Snider, 2021: Dynamical downscaling of global reanalysis data for high-resolution spatial modeling of snow accumulation/melting at the central/southern Sierra Nevada watersheds. Journal of Hydrology, 598, 126445, https://doi.org/10.1016/j.jhydrol.2021.126445
Jiao, X., J. Zhang, and C. Li, 2021: Observational Study on the Variability of Mixed Layer Depth in the Bering Sea and the Chukchi Sea in the Summer of 2019. Ocean Science Discussions, 1-40, https://doi.org/10.5194/os-2021-7
Kim, J., R. Thompson, H. Park, S. Bogle, J. Mühle, M. Park, Y. Kim, C. M. Harth, P. K. Salameh, R. Schmidt, D. Ottinger, S. Park, and R. F. Weiss, 2021: Emissions of Tetrafluoromethane (CF4) and Hexafluoroethane (C2F6) From fast Asia: 2008 to 2019. Journal of Geophysical Research: Atmospheres, 126(16), https://doi.org/10.1029/2021JD034888
Li, J., Y. Wang, R. Zhang, C. Smeltzer, A. Weinheimer, J. Herman, K. F. Boersma, E. A. Celarier, R. W. Long, J. J. Szykman, R. Delgado, A. M. Thompson, T. N. Knepp, L. N. Lamsal, S. J. Janz, M. G. Kowalewski, X. Liu, and C. R. Nowlan, 2021: Comprehensive evaluations of diurnal NO<sub>2</sub> measurements during DISCOVER-AQ 2011: effects of resolution-dependent representation of NO<sub><i>x</i></sub> emissions. Atmospheric Chemistry and Physics, 21(14), 11133-11160, https://doi.org/10.5194/acp-21-11133-2021
Maneja, R. H., J. D. Miller, W. Li, R. Thomas, H. El-Askary, S. Perera, A. V. Flandez, A. U. Basali, J. F. Alcaria, J. Gopalan, S. Tiwari, M. Al-Jedani, P. K. Prihartato, R. A. Loughland, A. Qasem, M. A. Qurban, W. Falath, and D. Struppa, 2021: Multidecadal analysis of beach loss at the major offshore sea turtle nesting islands in the northern Arabian Gulf. Ecological Indicators, 121, https://doi.org/10.1016/j.ecolind.2020.107146
Mendoza-Lara, O. O., V. Arévalo-Mendoza, C. G. Villareal-Esquivel, A. Pérez-Castillo, and A. Morales-González, 2021: Evaluación del modelo meteorológico WRF para la validación del modelo AERMOD. Tecnología, Ciencia y Estudios Organizacionales, 3(5), 56-74, https://doi.org/10.56913/teceo.3.5.56-74
Mollmann Junior, R. A., R. d. Alves, G. B. Münchow, O. L. Moraes, and C. A. Pontel, 2021: Weather reasearch and forecasting model simulation of a snowfall event in southern brazil. Revista Brasileira de Geografia Fisica, 14, 1194-1205, https://doi.org/10.26848/rbgf.v14.2.p1194-1205
Niu, Y., B. Guo, M. V. Subrahmanyam, B. Xue, and Y. Ye, 2021: The Influence of Typhoon “MITAG” on Waves and Currents in Zhoushan Sea Area, China. Atmosphere, 12(8), 1027, https://doi.org/10.3390/atmos12081027
Odériz, I., R. Silva, T. R. Mortlock, N. Mori, T. Shimura, A. Webb, R. Padilla-Hernández, and S. Villers, 2021: Natural Variability and Warming Signals in Global Ocean Wave Climates. Geophysical Research Letters, 48(11), https://doi.org/10.1029/2021GL093622
Onat, Y., and O. P. Francis, 2021: Strong extratropical cyclone generated ocean swells in the Northern Pacific from modeling and in-situ observations on the Hawaiian Islands. Ocean Modelling, 167, https://doi.org/10.1016/j.ocemod.2021.101888
Shiff, S., D. Helman, and I. M. Lensky, 2021: Worldwide continuous gap-filled MODIS land surface temperature dataset. Scientific Data, 8(1), https://doi.org/10.1038/s41597-021-00861-7
Shiff, S., I. M. Lensky, and D. J. Bonfil, 2021: Using satellite data to optimize wheat yield and quality under climate change. Remote Sensing, 13(11), 2049, https://doi.org/10.3390/rs13112049
Smith, G. A., M. Hemer, D. Greenslade, C. Trenham, S. Zieger, and T. Durrant, 2021: Global wave hindcast with Australian and Pacific Island Focus: From past to present. Geoscience Data Journal, 8, 24-33, https://doi.org/10.1002/gdj3.104
Sun, J., Y. Huang, J. Han, and X. Zhang, 2021: Comparison on Relationship between Western Pacific Subtropical High and Summer Precipitation over Dongting Lake Basin Based on Different Datasets. Asia-Pacific Journal of Atmospheric Sciences, 57(3), 663-678, https://doi.org/10.1007/s13143-020-00217-y
Sun, S., and A. Solomon, 2021: Seasonal Sea Ice Prediction with the CICE Model and Positive Impact of CryoSat-2 Ice Thickness Initialization. The Cryosphere Discussions, 1-18, https://doi.org/10.5194/tc-2021-353
Valkonen, E., J. Cassano, and E. Cassano, 2021: Arctic Cyclones and Their Interactions With the Declining Sea Ice: A Recent Climatology. Journal of Geophysical Research: Atmospheres, 126(12), https://doi.org/10.1029/2020JD034366
Wang, K., and G. D. Clow, 2021: Newly collected data across Alaska reveal remarkable biases in solar radiation products. International Journal of Climatology, 41(1), 497-512, https://doi.org/10.1002/joc.6634
Yao, S., D. Jiang, and Z. Zhang, 2021: Moisture Sources of Heavy Precipitation in Xinjiang Characterized by Meteorological Patterns. Journal of Hydrometeorology, 22(8), 2213-2225, https://doi.org/10.1175/JHM-D-20-0236.1
Zhang, S., Y. Qiu, H. Chen, J. Shen, J. Zhang, J. Cha, F. Qiu, and C. Jing, 2021: Estimate of contribution of near-inertial waves to the velocity shear in the Bay of Bengal based on mooring observations from 2013 to 2014. Acta Oceanologica Sinica, 40(11), 1-10, https://doi.org/10.1007/s13131-021-1743-0
2020
Bai, H., H. Hu, W. Perrie, and N. Zhang, 2020: On the characteristics and climate effects of HV-WCP events over the Kuroshio SST front during wintertime. Climate Dynamics, 55(7), 2123-2148, https://doi.org/10.1007/s00382-020-05373-5
Barrett, B. S., J. C. Marin, and M. Jacques-Coper, 2020: A multiscale analysis of the tornadoes of 30–31 May 2019 in south-central Chile. Atmospheric Research, 236, 104811, https://doi.org/10.1016/j.atmosres.2019.104811
Bognar, K., X. Zhao, K. Strong, R. Y. Chang, U. Frieß, P. L. Hayes, A. McClure-Begley, S. Morris, S. Tremblay, and A. Vicente-Luis, 2020: Measurements of Tropospheric Bromine Monoxide Over Four Halogen Activation Seasons in the Canadian High Arctic. Journal of Geophysical Research: Atmospheres, 125, https://doi.org/10.1029/2020JD033015
Chawla, I., and P. P. Mujumdar, 2020: Evaluating rainfall datasets to reconstruct floods in data-sparse Himalayan region. Journal of Hydrology, 588, 125090, https://doi.org/10.1016/j.jhydrol.2020.125090
Cheng, S., J. Stopa, F. Ardhuin, and H. H. Shen, 2020: Spectral attenuation of ocean waves in pack ice and its application in calibrating viscoelastic wave-in-ice models. The Cryosphere, 14(6), 2053-2069, https://doi.org/10.5194/tc-14-2053-2020
Couto, A., and A. Estanqueiro, 2020: Exploring Wind and Solar PV Generation Complementarity to Meet Electricity Demand. Energies, 13(16), 4132, https://doi.org/10.3390/en13164132
Feng, J., H. Chen, H. Zhang, Z. Li, Y. Yu, Y. Zhang, M. Bilal, and Z. Qiu, 2020: Turbidity Estimation from GOCI Satellite Data in the Turbid Estuaries of China’s Coast. Remote Sensing, 12(22), 3770, https://doi.org/10.3390/rs12223770
Gangoiti, G., E. Sáez de Cámara, L. Alonso, J. Iza, J. A. García, V. Valdenebro, M. C. Gómez, M. Navazo, and E. García, 2020: Simultaneous Episodes of Heavy Rainfall in Morocco and Southern Alps: 1. Mesoscale Simulations and Episode Climatology (1979–2016). Journal of Geophysical Research: Atmospheres, 125, https://doi.org/10.1029/2019JD030432
Imberger, M., X. Guo Larsén, N. Davis, and J. Du, 2020: Approaches toward improving the modelling of midlatitude cyclones entering at the lateral boundary corner in the limited area WRF model. Quarterly Journal of the Royal Meteorological Society, 146(732), 3225-3244, https://doi.org/10.1002/qj.3843
Lutsch, E., K. Strong, D. B. Jones, T. Blumenstock, S. Conway, J. A. Fisher, J. W. Hannigan, F. Hase, Y. Kasai, E. Mahieu, M. Makarova, I. Morino, T. Nagahama, J. Notholt, I. Ortega, M. Palm, A. V. Poberovskii, R. Sussmann, and T. Warneke, 2020: Detection and attribution of wildfire pollution in the Arctic and northern midlatitudes using a network of Fourier-Transform infrared spectrometers and GEOS-Chem. Atmospheric Chemistry and Physics, 20, 12813-12851, https://doi.org/10.5194/acp-20-12813-2020
Mendez Turrubiates, R. F., M. Gross, and V. Magar, 2020: Local Quantitative Precipitation Forecast with Minimal Data Requirement-An Ensemble Approach. Weather and Forecasting, 35(3), 821-839, https://doi.org/10.1175/WAF-D-19-0077.1
Olivelli, A., B. D. Hardesty, and C. Wilcox, 2020: Coastal margins and backshores represent a major sink for marine debris: insights from a continental-scale analysis. Environmental Research Letters, 15(7), 074037, https://doi.org/10.1088/1748-9326/ab7836
Pirret, J. S., J. D. Daron, P. E. Bett, N. Fournier, and A. K. Foamouhoue, 2020: Assessing the skill and reliability of seasonal climate forecasts in Sahelian West Africa. Weather and Forecasting, 35, 1035-1050, https://doi.org/10.1175/WAF-D-19-0168.1
Tian, Y., Z. Wang, X. Pan, J. Li, T. Yang, D. Wang, X. Liu, H. Liu, Y. Zhang, S. Lei, Y. Sun, P. Fu, I. Uno, and Z. Wang, 2020: Influence of the morphological change in natural Asian dust during transport: A modeling study for a typical dust event over northern China. Science of The Total Environment, 739, 139791, https://doi.org/10.1016/j.scitotenv.2020.139791
Tong, S. T., T. Liu, S. Wan, and R. Beck, 2020: Harmful cyanobacterial blooms: a case study of a cool lake. Water and Environment Journal, 34, 490-502, https://doi.org/10.1111/wej.12550
Yamanouchi, S., K. Strong, E. Lutsch, and D. B. Jones, 2020: Detection of HCOOH, CH3 OH, CO, HCN, and C2 H6 in Wildfire Plumes Transported Over Toronto Using Ground-Based FTIR Measurements From 2002–2018. Journal of Geophysical Research: Atmospheres, 125, https://doi.org/10.1029/2019JD031924
Yang, G., X. H. Wang, Y. Zhong, Z. Cheng, and F. P. Andutta, 2020: Wave effects on sediment dynamics in a macro-tidal estuary: Darwin Harbour, Australia during the monsoon season. Estuarine, Coastal and Shelf Science, 244, 106931, https://doi.org/10.1016/j.ecss.2020.106931
Yi, X., D. Li, C. Zhao, L. Shen, and X. Zhou, 2020: Impact of a dense surface network on high-resolution dynamical downscaling via observation nudging. Journal of Applied Meteorology and Climatology, 59, 1655-1670, https://doi.org/10.1175/JAMC-D-20-0071.1
Zhu, X., Z. Zu, S. Ren, Y. Zhang, M. Zhang, and H. Wang, 2020: The improvements to the regional South China Sea Operational Oceanography Forecasting System. Ocean Science Discussions, 1-37, https://doi.org/10.5194/os-2020-104
2019
Adam, N., 2019: Methodology of a Troposphere Effect Mitigation Processor for SAR Interferometry. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(12), 5334-5344, https://doi.org/10.1109/JSTARS.2019.2957919
Chen, Y., L. Chen, H. Zhang, and W. Gong, 2019: Effects of wave-current interaction on the Pearl River Estuary during Typhoon Hato. Estuarine, Coastal and Shelf Science, 228, 106364, https://doi.org/10.1016/j.ecss.2019.106364
Gloeckler, L. C., and P. E. Roundy, 2019: A statistical analysis of relationships between Western North Pacific Tropical cyclones and extratropical circulation patterns accompanying the Madden-Julian Oscillation. Journal of the Atmospheric Sciences, 76, 583-604, https://doi.org/10.1175/JAS-D-18-0228.1
Gloeckler, L. C., and P. E. Roundy, 2019: On relationships between nonrecurving western North Pacific tropical cyclones, the Madden-Julian oscillation, and the East Asian subtropical jet. Journal of the Atmospheric Sciences, 76, 893-917, https://doi.org/10.1175/JAS-D-18-0230.1
Graffigna, V., M. Hernández-Pajares, M. Gende, F. Azpilicueta, and P. Antico, 2019: Interpretation of the Tropospheric Gradients Estimated With GPS During Hurricane Harvey. Earth and Space Science, 6, 1348-1365, https://doi.org/10.1029/2018EA000527
KORALEGEDARA, S. B., C. LIN, and Y. SHENG, 2019: Numerical Analysis of the Mesoscale Dynamics of an Extreme Rainfall and Flood Event in Sri Lanka in May 2016. Journal of the Meteorological Society of Japan. Ser. II, 97(4), 821-839, https://doi.org/10.2151/jmsj.2019-046
Kuznetsova, A., G. Baydakov, D. Sergeev, and Y. Troitskaya, 2019: Estimation of the air-sea exchange processes parameters under modeled hurricane Irma wind conditions. OCEANS 2019 - Marseille, OCEANS Marseille 2019, Institute of Electrical and Electronics Engineers Inc., https://doi.org/10.1109/OCEANSE.2019.8867253
Li, J., Y. Wang, and H. Qu, 2019: Dependence of Summertime Surface Ozone on NOx and VOC Emissions Over the United States: Peak Time and Value. Geophysical Research Letters, 46(6), 3540-3550, https://doi.org/10.1029/2018GL081823
Li, J., and Y. Wang, 2019: Inferring the anthropogenic NO<sub><i>x</i></sub> emission trend over the United States during 2003-2017 from satellite observations: was there a flattening of the emission trend after the Great Recession?. Atmospheric Chemistry and Physics, 19(24), 15339-15352, https://doi.org/10.5194/acp-19-15339-2019
Mure-Ravaud, M., M. L. Kawas, and A. Dib, 2019: Impact of increased atmospheric moisture on the precipitation depth caused by Hurricane Ivan (2004) over a target area. Science of the Total Environment, 672, 916-926, https://doi.org/10.1016/j.scitotenv.2019.03.471
Onink, V., D. Wichmann, P. Delandmeter, and E. van Sebille, 2019: The Role of Ekman Currents, Geostrophy, and Stokes Drift in the Accumulation of Floating Microplastic. Journal of Geophysical Research: Oceans, 124(3), 1474-1490, https://doi.org/10.1029/2018jc014547
Toride, K., Y. Iseri, A. M. Duren, J. F. England, and M. L. Kavvas, 2019: Evaluation of physical parameterizations for atmospheric river induced precipitation and application to long-term reconstruction based on three reanalysis datasets in Western Oregon. Science of The Total Environment, 658, 570-581, https://doi.org/10.1016/j.scitotenv.2018.12.214
von Hippel, F., M. Takubo, and J. Kang, 2019: "Plutonium: How Nuclear Power’s Dream Fuel Became a Nightmare", in Plutonium. Ed. F. v. Hippel, M. Takubo, and J. Kang, Springer Nature, 1-177.
2018
Bazo, J., R. Singh, M. Destrooper, and E. Coughlan de Perez, 2018: "Pilot experiences in using seamless forecasts for early action: The “ready-set-go!" approach in the red cross", in Sub-seasonal to Seasonal Prediction. Ed. A. Robertson, and F. Vitart, Elsevier, 387-398.
Bucci, S., P. Cristofanelli, S. Decesari, A. Marinoni, S. Sandrini, J. Größ, A. Wiedensohler, C. F. Di Marco, E. Nemitz, F. Cairo, L. Di Liberto, and F. Fierli, 2018: Vertical distribution of aerosol optical properties in the Po Valley during the 2012 summer campaigns. Atmospheric Chemistry and Physics, 18, 5371-5389, https://doi.org/10.5194/acp-18-5371-2018
Chabrillat, S., C. Vigouroux, Y. Christophe, A. Engel, Q. Errera, D. Minganti, B. M. Monge-Sanz, A. Segers, and E. Mahieu, 2018: Comparison of mean age of air in five reanalyses using the BASCOE transport model. Atmospheric Chemistry and Physics, 18(19), 14715-14735, https://doi.org/10.5194/acp-18-14715-2018
Fu, Y., J. Karstensen, and P. Brandt, 2018: Atlantic Meridional Overturning Circulation at 14.5° N in 1989 and 2013 and 24.5° N in 1992 and 2015: volume, heat, and freshwater transports. Ocean Science, 14(4), 589-616, https://doi.org/10.5194/os-14-589-2018
Holmes, T. R., C. R. Hain, W. T. Crow, M. C. Anderson, and W. P. Kustas, 2018: Microwave implementation of two-source energy balance approach for estimating evapotranspiration. Hydrology and Earth System Sciences, 22(2), 1351-1369, https://doi.org/10.5194/hess-22-1351-2018
Hu, Q., D. Jiang, X. Lang, and B. Xu, 2018: Moisture sources of the Chinese Loess Plateau during 1979–2009. Palaeogeography, Palaeoclimatology, Palaeoecology, 509, 156-163, https://doi.org/10.1016/j.palaeo.2016.12.030
Lensky, I. M., U. Dayan, and D. Helman, 2018: Synoptic Circulation Impact on the Near-Surface Temperature Difference Outweighs That of the Seasonal Signal in the Eastern Mediterranean. Journal of Geophysical Research: Atmospheres, 123(20), 11,333-11,347, https://doi.org/10.1029/2017JD027973
Moffat, C., F. J. Tapia, C. A. Nittrouer, B. Hallet, F. Bown, K. Boldt Love, and C. Iturra, 2018: Seasonal Evolution of Ocean Heat Supply and Freshwater Discharge From a Rapidly Retreating Tidewater Glacier: Jorge Montt, Patagonia. Journal of Geophysical Research: Oceans, 123(6), 4200-4223, https://doi.org/10.1002/2017JC013069
Sanchez-Franks, A., E. C. Kent, A. J. Matthews, B. G. Webber, S. C. Peatman, and P. N. Vinayachandran, 2018: Intraseasonal variability of air-sea fluxes over the Bay of Bengal during the Southwest Monsoon. Journal of Climate, 31, 7087-7109, https://doi.org/10.1175/JCLI-D-17-0652.1
Shi, H., X. He, and X. Wang, 2018: "Retrieval of PWV Based on GPS and Multi-level Isobaric Surface Data", in China Satellite Navigation Conference (CSNC) 2018 Proceedings. Ed. J. Sun, C. Yang, and S. Guo, Springer, 153-162.
Steinhoff, D. F., R. Bruintjes, J. Hacker, T. Keller, C. Williams, T. Jensen, A. Al Mandous, and O. A. Al Yazeedi, 2018: Influences of the Monsoon Trough and Arabian Heat Low on Summer Rainfall over the United Arab Emirates. Monthly Weather Review, 146(5), 1383-1403, https://doi.org/10.1175/MWR-D-17-0296.1
Tang, X., C. M. Hancock, Z. Xiang, Y. Kong, H. d. Ligt, H. Shi, and J. A. Quaye-Ballard, 2018: Precipitable Water Vapour Retrieval from GPS Precise Point Positioning and NCEP CFSv2 Dataset during Typhoon Events. Sensors, 18(11), 3831, https://doi.org/10.3390/s18113831
da Costa, B. S., N. S. da Rocha, S. C. da Silva, R. A. Molmann Júnior, S. C. Münchow, V. C. Molmann Junior, G. B. Munchow, V. C. de Cássia Marques Alves, A. B. Beceera-Rondón, P. S. de Cassia Marques Alves, and A. C. Becerra-Rondon, 2018: The use of the weather research and forecasting model to estimate the vertical profile of meteorological data. International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., 5560-5563, https://doi.org/10.1109/IGARSS.2018.8518146
2017
Acheampong, A. A., C. Fosu, L. K. Amekudzi, and E. Kaas, 2017: Precipitable water comparisons over Ghana using PPP Techniques and reanalysis data. South African Journal of Geomatics, 6(3), 449-460, https://doi.org/10.4314/sajg.v6i3.13
Aleynik, D., M. E. Inall, A. Dale, and A. Vink, 2017: Impact of remotely generated eddies on plume dispersion at abyssal mining sites in the Pacific. Scientific Reports, 7(1), https://doi.org/10.1038/s41598-017-16912-2
Chen, J. L., T. Pekker, C. R. Wilson, B. D. Tapley, A. G. Kostianoy, J. -. Cretaux, and E. S. Safarov, 2017: Long-term Caspian Sea level change. Geophysical Research Letters, 44(13), 6993-7001, https://doi.org/10.1002/2017gl073958
Morales, C. E., V. Anabalón, J. P. Bento, S. Hormazabal, M. Cornejo, M. A. Correa-Ramírez, and N. Silva, 2017: Front-Eddy Influence on Water Column Properties, Phytoplankton Community Structure, and Cross-Shelf Exchange of Diatom Taxa in the Shelf-Slope Area off Concepción (∼36-37°S). Journal of Geophysical Research: Oceans, 122(11), 8944-8965, https://doi.org/10.1002/2017JC013111
Palau, J. L., F. Rovira, and M. J. Sales, 2017: Satellite Observations of the Seasonal Evolution of Total Precipitable Water Vapour over the Mediterranean Sea. Advances in Meteorology, 2017, 1-9, https://doi.org/10.1155/2017/4790541
Shan, H. X., and C. M. Dong, 2017: The SST-Wind Coupling Pattern in the East China Sea Based on a Regional Coupled Ocean-Atmosphere Model. Atmosphere-Ocean, 55(4-5), 230-246, https://doi.org/10.1080/07055900.2017.1349646
Song, R., Y. Liu, and R. Bucknall, 2017: A multi-layered fast marching method for unmanned surface vehicle path planning in a time-variant maritime environment. Ocean Engineering, 129, 301-317, https://doi.org/10.1016/j.oceaneng.2016.11.009
Tseng, W., H. Hsu, N. Keenlyside, C. J. June Chang, B. Tsuang, C. Tu, and L. Jiang, 2017: Effects of surface orography and land-sea contrast on the Madden-Julian oscillation in the maritime continent: A numerical study using ECHAM5-SIT. Journal of Climate, 30, 9725-9741, https://doi.org/10.1175/JCLI-D-17-0051.1
Valerio, G., A. Cantelli, P. Monti, and G. Leuzzi, 2017: A modeling approach to identify the effective forcing exerted by wind on a prealpine lake surrounded by a complex topography. Water Resources Research, 53, 4036-4052, https://doi.org/10.1002/2016WR020335
von Hippel, F. N., and M. Schoeppner, 2017: Economic Losses From a Fire in a Dense-Packed U.S. Spent Fuel Pool. Science and Global Security, 25, 80-92, https://doi.org/10.1080/08929882.2017.1318561
2016
Acheampong, A. A., 2016: Retrieval of integrated water vapour from GNSS signals for numerical weather predictions. Journal of Ocean University of China, 14(5), 783-794, https://doi.org/10.1007/s11802-015-2770-2
Kuz’michev, A. S., T. I. Babukhina, A. V. Gan’shin, A. N. Luk’yanov, R. M. Markov, A. M. Romanovskii, V. U. Khattatov, D. V. Kirin, and E. P. Malinina, 2016: Remote and in situ measurements of aerosol concentration in the Arctic troposphere from the Yak-42D “Roshydromet” research aircraft. Russian Meteorology and Hydrology, 41(5), 365-372, https://doi.org/10.3103/S1068373916050083
Li, J., C. Liang, Y. Tang, C. Dong, D. Chen, X. Liu, and W. Jin, 2016: A new dipole index of the salinity anomalies of the tropical Indian Ocean. Scientific Reports, 6(1), 24260, https://doi.org/10.1038/srep24260
Lutsch, E., E. Dammers, S. Conway, and K. Strong, 2016: Long-range transport of NH3, CO, HCN, and C2H6 from the 2014 Canadian Wildfires. Geophysical Research Letters, 43(15), 8286-8297, https://doi.org/10.1002/2016gl070114
2015
Penny, S. G., D. W. Behringer, J. A. Carton, and E. Kalnay, 2015: A Hybrid Global Ocean Data Assimilation System at NCEP. Monthly Weather Review, 143(11), 4660-4677, https://doi.org/10.1175/MWR-D-14-00376.1
2014
Marzo, G. A., 2014: Atmospheric transport and deposition of radionuclides released after the Fukushima Dai-chi accident and resulting effective dose. Atmospheric Environment, 94, 709-722, https://doi.org/10.1016/j.atmosenv.2014.06.009
