NCEP GFS 0.25 Degree Global Forecast Grids Historical Archive
d084001
| DOI: 10.5065/D65D8PWK
Citation Statistics for this Dataset:
This dataset has been cited 170 times. See a list of published works that have cited this dataset Published works that have cited this dataset:
2025
Abad-Santjago, Á., C. Peláez-Rodríguez, J. Pérez-Aracil, J. Sanz-Justo, C. Casanova-Mateo, and S. Salcedo-Sanz, 2025: Hybridizing Machine Learning Algorithms With Numerical Models for Accurate Wind Power Forecasting. Expert Systems, 42, https://doi.org/10.1111/exsy.13830
Feng, C., and Z. Pu, 2025: All-Sky Assimilation of GOES-16 Water Vapor Channels in Consideration of Cloud-Dependent Interchannel Observation-Error Correlations. Monthly Weather Review, 153, 23-47, https://doi.org/10.1175/MWR-D-24-0038.1
Harris, S. J., S. Schwietzke, J. L. France, N. Velandia Salinas, T. Meixus Fernandez, C. Randles, L. Guanter, I. Irakulis-Loitxate, A. Calcan, I. Aben, K. Abrahamsson, P. Balcombe, A. Berchet, L. C. Biddle, H. C. Bittig, C. Böttcher, T. Bouvard, G. Broström, V. Bruch, M. Cassiani, M. P. Chipperfield, P. Ciais, E. Damm, E. Dammers, H. Denier van der Gon, M. Dogniaux, E. Dowd, F. Dupouy, S. Eckhardt, N. Evangeliou, W. Feng, M. Jia, F. Jiang, A. K. Kaiser-Weiss, I. Kamoun, B. J. Kerridge, A. Lampert, J. Lana, F. Li, J. D. Maasakkers, J. W. Maclean, B. Mamtimin, J. Marshall, G. Mauger, A. Mekkas, C. Mielke, M. Mohrmann, D. P. Moore, R. Nanni, F. Pätzold, I. Pison, I. Pisso, S. M. Platt, R. Préa, B. Y. Queste, M. Ramonet, G. Rehder, J. J. Remedios, F. Reum, A. Roiger, N. Schmidbauer, R. Siddans, A. Sunkisala, R. L. Thompson, D. J. Varon, L. J. Ventress, C. Wilson, and Y. Zhang, 2025: Methane emissions from the Nord Stream subsea pipeline leaks. Nature, https://doi.org/10.1038/s41586-024-08396-8
Ivanova, T., S. Porchetta, S. Buckingham, G. Glabeke, J. van Beeck, and W. Munters, 2025: Improving wind and power predictions via four-dimensional data assimilation in the WRF model: case study of storms in February 2022 at Belgian offshore wind farms. Wind Energy Science, 10(1), 245-268, https://doi.org/10.5194/wes-10-245-2025
Lombardi, M., D. Sladek, F. Simone, and R. Patriarca, 2025: No more flying blind: Leveraging weather forecasting for clear-cut risk-based decisions. Transportation Research Interdisciplinary Perspectives, 30, 101349, https://doi.org/10.1016/j.trip.2025.101349
Vallet, L., C. Abdallah, T. Lauvaux, L. Joly, M. Ramonet, P. Ciais, M. Lopez, I. Xueref-Remy, and F. Mouillot, 2025: Soil smoldering in temperate forests: a neglected contributor to fire carbon emissions revealed by atmospheric mixing ratios. Biogeosciences, 22, 213-242, https://doi.org/10.5194/bg-22-213-2025
2024
Bello-Millan, F. J., J. Palacios, P. Gutierrez -Castillo, and L. Parras, 2024: Simulations of a tornadic supercell event in the south of Spain: Sensitivity to initial and boundary conditions and microphysics parameterizations. Atmospheric Research, 300, https://doi.org/10.1016/j.atmosres.2024.107262
Buzin, I. V., I. V. Klyachkin, S. V. Frolov, S. G. Klyachkin, S. V. Mikhaltceva, S. V. Sokolova, Y. P. Gudoshnikov, K. N. Smirnov, M. N. Grigoryev, S. Mikhaltceva, Y. Sokolova, Y. Gudoshnikov, G. Voinov, and M. Grigoryev, 2024: SOME ESTIMATES OF THE SEVERE ICE CONDITIONS IN THE PECHORA SEA BASED ON OBSERVATIONAL AND MODELING DATA (SIMULATION AND ANALYSIS). Arktika: Ekologia i Ekonomika, 14, 24-35, https://doi.org/10.25283/2223-4594-2024-1-24-35
Casallas, A., A. Cabrera, M. Guevara-Luna, A. Tompkins, Y. Gonzalez, J. Aranda, L. C. Belalcazar, C. Mogollon-Sotelo, N. Celis, E. Lopez-Barrera, C. A. Pena-Rincon, and C. Ferro, 2024: Air pollution analysis in Northwestern South America: A new Lagrangian framework. Science of the Total Environment, 906, https://doi.org/10.1016/j.scitotenv.2023.167350
Cheng, C., T. Fuller-Rowell, E. K. Sutton, T. Fang, J. Liu, and D. R. Weimer, 2024: Thermospheric Neutral Density Data Assimilation System Based on the Whole Atmosphere Model During the November 2003 Storm. Space Weather, 22, https://doi.org/10.1029/2024SW004010
Dato, J. F., M. G. Dinápoli, E. E. D'Onofrio, and C. G. Simionato, 2024: On water level forecasting using artificial neural networks: the case of the Río de la Plata Estuary, Argentina. Natural Hazards, 120(11), 9753-9776, https://doi.org/10.1007/s11069-024-06585-2
Dehvari, M., S. Farzaneh, and E. Forootan, 2024: Ensemble Based Estimation of Wet Refractivity Indices Using a Functional Model Approach. Earth and Space Science, 11(10), https://doi.org/10.1029/2023EA003453
Do, Y., K. S. Lim, K. Kim, H. H. Shin, E. Chang, and G. Lee, 2024: Impact of Model Resolution and Initial/Boundary Conditions in Forecasting Low-Level Atmospheric Fields over the Incheon International Airport. Journal of Applied Meteorology and Climatology, 63, 893-907, https://doi.org/10.1175/JAMC-D-24-0011.1
Fu, S., W. Huang, J. Luo, D. Liu, D. Sun, H. Fu, Y. Luo, and B. Wang, 2024: Deep Learning Improves GFS Sea Surface Wind Field Forecast Accuracy in the Northwest Pacific Ocean. Journal of Geophysical Research: Atmospheres, 129(13), https://doi.org/10.1029/2024JD041188
Guillermo-Montiel, J. C., B. Martínez-López, C. A. Ochoa-Moya, I. A. Quintanar, and W. D. Cabos-Narváez, 2024: Why did numerical weather forecasting systems fail topredict the Hurricane Otis's development?. Atmosfera, 38, 829-862, https://doi.org/10.20937/ATM.53367
Ha, S., and J. Sun, 2024: Impact of Soil Moisture Updates on Temperature Forecasting. Geophysical Research Letters, 51(15), https://doi.org/10.1029/2024GL110283
Hachimi, C. E., S. Belaqziz, S. Khabba, B. A. Hssaine, M. H. Kharrou, and A. Chehbouni, 2024: Advancements in weather forecasting for precision agriculture: From statistical modeling to transformer-based architectures. Stochastic Environmental Research and Risk Assessment, 38, 3695-3717, https://doi.org/10.1007/s00477-024-02778-0
Han, Z., T. Guan, X. Wang, X. Xin, X. Song, Y. Wang, C. Dong, P. Ren, Z. Chen, S. Ren, Q. Zhang, and Q. Wang, 2024: Development of a data-driven three-dimensional PM2.5 forecast model based on machine learning algorithms. Environmental Technology & Innovation, 37, 103930, https://doi.org/10.1016/j.eti.2024.103930
Jung, B., B. Ménétrier, C. Snyder, Z. Liu, J. J. Guerrette, J. Ban, I. H. Baños, Y. G. Yu, and W. C. Skamarock, 2024: Three-dimensional variational assimilation with a multivariate background error covariance for the Model for Prediction Across Scales - Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 2.0.0-beta). Geoscientific Model Development, 17(9), 3879-3895, https://doi.org/10.5194/gmd-17-3879-2024
Karrevula, N. R., A. Boyaj, P. Sinha, R. Nadimpalli, U. C. Mohanty, S. Islam, A. Kaginalkar, and V. Vinoj, 2024: Role of planetary boundary layer physics in urban-scale WRF model for predicting the heat waves over tropical city Bhubaneswar. Journal of Earth System Science, 133, https://doi.org/10.1007/s12040-024-02384-2
Khan, A., P. Anand, S. Garshasbi, R. Khatun, S. Khorat, R. Hamdi, D. Niyogi, and M. Santamouris, 2024: Rooftop photovoltaic solar panels warm up and cool down cities. Nature Cities, https://doi.org/10.1038/s44284-024-00137-2
Khatun, R., D. Das, S. Khorat, S. M. Aziz, P. Anand, M. Mohan, A. Khan, D. Niyogi, and M. Santamourish, 2024: Urban scale rooftop super cool broadband radiative coolers in humid conditions. Building Simulation, 17(9), 1629-1651, https://doi.org/10.1007/s12273-024-1150-5
Khondaker, M. M., and M. Momen, 2024: Improving Hurricane Intensity and Streamflow Forecasts in Coupled Hydrometeorological Simulations by Analyzing Precipitation and Boundary Layer Schemes. Journal of Hydrometeorology, 25(8), 1237-1258, https://doi.org/10.1175/JHM-D-23-0153.1
Khorat, S., D. Das, R. Khatun, S. M. Aziz, P. Anand, A. Khan, M. Santamouris, and D. Niyogi, 2024: Cool roof strategies for urban thermal resilience to extreme heatwaves in tropical cities. Energy and Buildings, 302, https://doi.org/10.1016/j.enbuild.2023.113751
Kim, D., and H. M. Kim, 2024: Design of buoy observation network over the Arctic Ocean. Cold Regions Science and Technology, 218, https://doi.org/10.1016/j.coldregions.2023.104087
Krause, M., A. Thrasher, P. Soni, L. Smego, R. Isaac, J. Nolan, M. Pledger, E. G. Lightsey, W. J. Ready, and J. Christian, 2024: LONEStar: The Lunar Flashlight Optical Navigation Experiment. Journal of the Astronautical Sciences, 71(4), https://doi.org/10.1007/s40295-024-00452-9
Li, H., G. A. Grell, R. Ahmadov, L. Zhang, S. Sun, J. Schnell, and N. Wang, 2024: A simple and realistic aerosol emission approach for use in the Thompson-Eidhammer microphysics scheme in the NOAA UFS Weather Model (version GSL global-24Feb2022). Geoscientific Model Development, 17(2), 607-619, https://doi.org/10.5194/gmd-17-607-2024
Li, H., Y. Yang, J. Sun, Y. Jiang, R. Gan, and Q. Xie, 2024: A 3D-Var assimilation scheme for vertical velocity with CMA-MESO v5.0. Geoscientific Model Development, 17(15), 5883-5896, https://doi.org/10.5194/gmd-17-5883-2024
Liu, H., Z. Tan, Y. Wang, J. Tang, M. Satoh, L. Lei, J. Gu, Y. Zhang, G. Nie, and Q. Chen, 2024: A Hybrid Machine Learning/Physics-Based Modeling Framework for 2-Week Extended Prediction of Tropical Cyclones. Journal of Geophysical Research: Machine Learning and Computation, 1(3), https://doi.org/10.1029/2024jh000207
Liu, Y., Q. Bao, B. He, X. Wu, J. Yang, Y. Liu, G. Wu, T. Zhu, S. Zhou, Y. Tang, A. Qu, Y. Fan, A. Liu, D. Chen, Z. Luo, X. Hu, and T. Wu, 2024: Dynamical Madden–Julian Oscillation forecasts using an ensemble subseasonal-to-seasonal forecast system of the IAP-CAS model. Geoscientific Model Development, 17(16), 6249-6275, https://doi.org/10.5194/gmd-17-6249-2024
Maddah, M. A., and S. Mostamandi, 2024: WRF prediction of an atmospheric river-related precipitation event: Sensitivity to cumulus parameterization schemes. Meteorological Applications, 31(1), https://doi.org/10.1002/met.2160
Muttaqin, R. M., and A. Nugrahany, 2024: Development of an Integrated Observation Data and Global Numerical Weather Prediction System-Based Rainfall-Runoff Forecasting Model as PJT-I's Effort in Water Resources Disaster Mitigation. IOP Conference Series: Earth and Environmental Science, Institute of Physics, https://doi.org/10.1088/1755-1315/1343/1/012013
Niu, Z., and X. Zou, 2024: Improving All-Sky Simulations of Typhoon Cloud/Rain Band Structures of NOAA-20 CrIS Window Channel Observations. Journal of Geophysical Research: Atmospheres, 129(12), https://doi.org/10.1029/2023JD040622
Parasyris, A., V. Metheniti, G. Alexandrakis, G. V. Kozyrakis, and N. A. Kampanis, 2024: Data Assimilated Atmospheric Forecasts for Digital Twin of the Ocean Applications: A Case Study in the South Aegean, Greece. Algorithms, 17(12), 586, https://doi.org/10.3390/a17120586
Pardini, F., S. Barsotti, C. Bonadonna, M. de' Michieli Vitturi, A. Folch, L. Mastin, S. Osores, and A. T. Prata, 2024: Dynamics, Monitoring, and Forecasting of Tephra in the Atmosphere. Reviews of Geophysics, 62(4), https://doi.org/10.1029/2023RG000808
Patil, A., and K. Kulkarni, 2024: A Hybrid Machine Learning - Numerical Weather Prediction Approach for Day Ahead Solar Irradiance Prediction. 2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation, SEFET 2024, Institute of Electrical and Electronics Engineers Inc., https://doi.org/10.1109/SEFET61574.2024.10718271
Pokhrel, P., M. Abdelguerfi, and E. Ioup, 2024: A machine-learning and data assimilation forecasting framework for surface waves. Quarterly Journal of the Royal Meteorological Society, 150(759), 958-975, https://doi.org/10.1002/qj.4631
Qin, L., Y. Chen, D. Meng, X. Cheng, and P. Zhang, 2024: Variational All-Sky Assimilation Framework for MWHS-II With Hydrometeors Control Variables and Its Impacts on Analysis and Forecast of Typhoon Cases. Journal of Advances in Modeling Earth Systems, 16(10), https://doi.org/10.1029/2023ms004153
Qu, H., L. Dong, X. Ma, C. Xiang, and Y. Huang, 2024: Forecast Model of Northwest Pacific Typhoon Rapid Intensification Based on XGBoost. Meteorological Monthly, 50, 1531-1541, https://doi.org/10.7519/j.issn.1000-0526.2024.041101
Robey, R., and J. K. Lundquist, 2024: Influences of lidar scanning parameters on wind turbine wake retrievals in complex terrain. Wind Energy Science, 9(10), 1905-1922, https://doi.org/10.5194/wes-9-1905-2024
Salimi, A., A. Noori, I. Ebtehaj, T. Ghobrial, and H. Bonakdari, 2024: Advancing Spatial Drought Forecasts by Integrating an Improved Outlier Robust Extreme Learning Machine with Gridded Data: A Case Study of the Lower Mainland Basin, British Columbia, Canada. Sustainability, 16(8), https://doi.org/10.3390/su16083461
Sun, L., Y. Lan, X. Sun, X. Liang, J. Wang, Y. Su, Y. He, and D. Xia, 2024: Deterministic Forecasting and Probabilistic Post-Processing of Short-Term Wind Speed Using Statistical Methods. Journal of Geophysical Research: Atmospheres, 129(7), https://doi.org/10.1029/2023JD040134
Thaker, J., R. Hoeller, and M. Kapasi, 2024: Short-Term Solar Irradiance Prediction with a Hybrid Ensemble Model Using EUMETSAT Satellite Images. Energies, 17(2), https://doi.org/10.3390/en17020329
Wang, H., D. Zhao, H. Xu, Q. Wang, J. Liang, and T. Yen, 2024: The Role of WISHE in the Rapid Intensification of Super Typhoon Hinnamnor (2022). Journal of Geophysical Research: Atmospheres, 130(1), https://doi.org/10.1029/2024jd041864
Windell, L. C., P. Pokorná, J. Schwarz, P. Vodička, P. K. Hopke, N. Zíková, R. Lhotka, J. Ondráček, P. Roztočil, M. Vojtišek, and V. Ždímal, 2024: Highly Time-Resolved Elemental Source Apportionment at a Prague Urban Traffic Site. Aerosol and Air Quality Research, 24(8), https://doi.org/10.4209/aaqr.240058
Xu, D., X. Zhang, J. Min, and F. Shen, 2024: Impacts of Assimilating All-Sky FY-4A AGRI Satellite Infrared Radiances on the Prediction of Super Typhoon In-Fa During the Period With Abnormal Changes. Journal of Geophysical Research: Atmospheres, 129(11), https://doi.org/10.1029/2024JD040784
Yuan, S., S. Zhu, X. Luo, and B. Mu, 2024: A deep learning-based bias correction model for Arctic sea ice concentration towards MITgcm. Ocean Modelling, 188, https://doi.org/10.1016/j.ocemod.2024.102326
Zhang, X., D. Xu, F. Shen, and J. Min, 2024: Impacts of Offline Nonlinear Bias Correction Schemes Using the Machine Learning Technology on the All-Sky Assimilation of Cloud-Affected Infrared Radiances. Journal of Advances in Modeling Earth Systems, 16, https://doi.org/10.1029/2024MS004281
Zhuang, Q., M. Koukoula, S. Liu, Z. Zhou, L. Gao, and N. Peleg, 2024: Contradictory influences of urbanization on intense convective rainfall in a subtropical city. Environmental Research Letters, 19(10), 104020, https://doi.org/10.1088/1748-9326/ad7277
da Fonseca Aguiar, L., M. da Fonseca Aguiar, M. Cataldi, E. Cataldi, E. M. Ribeiro, P. da Cunha Luz, E. M. Ribeiro, and P. da Cunha Luz, 2024: Evaluation of the SACZ index as a prognostic tool based on GFS forecasts. Atmosfera, 38, 91-104, https://doi.org/10.20937/ATM.53248
2023
Adedeji, A. R., S. J. Andrews, M. J. Rowlinson, M. J. Evans, A. C. Lewis, S. Hashimoto, H. Mukai, H. Tanimoto, Y. Tohjima, and T. Saito, 2023: Measurement report: Assessment of Asian emissions of ethane and propane with a chemistry transport model based on observations from the island of Hateruma. Atmospheric Chemistry and Physics, 23(16), 9229-9244, https://doi.org/10.5194/acp-23-9229-2023
Altun, A. T., Y. Xu, G. Inalhan, and M. W. Hardt, 2023: Comprehensive Risk Assessment and Utilization for Contingency Management of Future AAM System. AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2023, American Institute of Aeronautics and Astronautics Inc, AIAA, https://doi.org/10.2514/6.2023-3687
Barreto, F. T., F. E. Curbani, G. M. Zielinsky, M. B. da Silva, K. C. Lacerda, and D. F. Rodrigues, 2023: Development of a multigrid operational forecast system for the oceanic region off Rio de Janeiro State. Ocean Modelling, 184, https://doi.org/10.1016/j.ocemod.2023.102206
Bart, A. A., S. A. Ekaterina, Y. V. Semyon, and I. N. Alexander, 2023: Assessment of the relationship between adverse weather conditions, "Black Sky" regime, and COVID-19 morbidity in Tomsk in 2022. Proceedings of SPIE - The International Society for Optical Engineering, SPIE, https://doi.org/10.1117/12.2690936
Bean, R., 2023: Forecasting the Monash Microgrid for the IEEE-CIS Technical Challenge. Energies, 16(3), https://doi.org/10.3390/en16031050
Bi, M., and X. Zou, 2023: Comparison of Cloud/Rain Band Structures of Typhoon Muifa (2022) Revealed in FY-3E MWHS-2 Observations With All-Sky Simulations. Journal of Geophysical Research: Atmospheres, 128(23), https://doi.org/10.1029/2023JD039410
Borges, D. M., H. L. Varona, M. F. Alonso, M. Araujo, and F. Hernandez, 2023: Investigating an extreme meteo-oceanographic event in the southern Brazil from in situ observations and modeling results. Regional Studies in Marine Science, 65, https://doi.org/10.1016/j.rsma.2023.103071
Cai, S., A. Huang, K. Zhu, W. Guo, Y. Wu, and C. Gu, 2023: The Forecast Skill of the Summer Precipitation Over Tibetan Plateau Improved by the Adoption of a 3D Sub-Grid Terrain Solar Radiative Effect Scheme in a Convection-Permitting Model. Journal of Geophysical Research: Atmospheres, 128(11), https://doi.org/10.1029/2022jd038105
Chakraborty, T., S. Pattnaik, and S. Joseph, 2023: Influence of tropical cyclone Jawad on the surface and sub-surface circulation in the Bay of Bengal: ocean-atmosphere feedback. Ocean Dynamics, 73(10), 619-637, https://doi.org/10.1007/s10236-023-01572-w
Cherubini, T., P. Antonelli, S. Businger, and P. Scaccia, 2023: Assimilation of Transformed Retrievals From Satellite High-Resolution Infrared Data Over the Central Pacific Area. Journal of Geophysical Research: Atmospheres, 128(21), https://doi.org/10.1029/2022JD038153
Colle, B. A., P. Yeh, J. A. Finlon, L. Mcmurdie, V. McDonald, and A. DeLafrance, 2023: An Investigation of a Northeast U.S. Cyclone Event without Well-Defined Snow Banding during IMPACTS. Monthly Weather Review, 151(9), 2465-2484, https://doi.org/10.1175/MWR-D-22-0296.1
Dai, S., X. Chen, J. Liang, X. Li, S. Li, G. Chen, Z. Chen, J. Bin, Y. Tang, and X. Li, 2023: Response of PM2.5 pollution to meteorological and anthropogenic emissions changes during COVID-19 lockdown in Hunan Province based on WRF-Chem model. Environmental Pollution, 331, https://doi.org/10.1016/j.envpol.2023.121886
Feng, C., and Z. Pu, 2023: The impacts of assimilating Aeolus horizontal line-of-sight winds on numerical predictions of Hurricane Ida (2021) and a mesoscale convective system over the Atlantic Ocean. Atmospheric Measurement Techniques, 16(10), 2691-2708, https://doi.org/10.5194/amt-16-2691-2023
Fujiwara, K., and R. Kawamura, 2023: Intensification of a distant hurricane by warm-core eddies in the Gulf Stream in boreal fall. Atmospheric Science Letters, 24(3), https://doi.org/10.1002/asl.1141
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
Gunnarsson, A., S. M. Gardarsson, and F. Pálsson, 2023: Modeling of surface energy balance for Icelandic glaciers using remote-sensing albedo. Cryosphere, 17(9), 3955-3986, https://doi.org/10.5194/tc-17-3955-2023
Honda, T., 2023: Development of a Polar Mesocyclone and Associated Environmental Characteristics During the Heavy Snowfall Event in Sapporo, Japan, in Early February 2022. Journal of Geophysical Research: Atmospheres, 128(12), https://doi.org/10.1029/2022JD037774
Keramea, P., N. Kokkos, G. Zodiatis, and G. Sylaios, 2023: Modes of Operation and Forcing in Oil Spill Modeling: State-of-Art, Deficiencies and Challenges. Journal of Marine Science and Engineering, 11(6), 1165, https://doi.org/10.3390/jmse11061165
Khan, A., S. Khorat, Q. Doan, R. Khatun, D. Das, R. Hamdi, L. Carlosena, M. Santamouris, M. Georgescu, and D. Niyogi, 2023: Exploring the Meteorological Impacts of Surface and Rooftop Heat Mitigation Strategies Over a Tropical City. Journal of Geophysical Research: Atmospheres, 128(8), https://doi.org/10.1029/2022JD038099
Lassman, W., J. D. Mirocha, R. S. Arthur, A. K. Kochanski, A. Farguell Caus, A. M. Bagley, M. Carreras Sospedra, D. Dabdub, and M. Barbato, 2023: Using Satellite-Derived Fire Arrival Times for Coupled Wildfire-Air Quality Simulations at Regional Scales of the 2020 California Wildfire Season. Journal of Geophysical Research: Atmospheres, 128(6), https://doi.org/10.1029/2022JD037062
Li, M., J. A. Zhang, L. Matak, and M. Momen, 2023: The Impacts of Adjusting Momentum Roughness Length on Strong and Weak Hurricane Forecasts: A Comprehensive Analysis of Weather Simulations and Observations. Monthly Weather Review, 151(5), 1287-1302, https://doi.org/10.1175/mwr-d-22-0191.1
Liu, H., M. Satoh, J. Gu, L. Lei, J. Tang, Z. Tan, Y. Wang, and J. Xu, 2023: Predictability of the Most Long-Lived Tropical Cyclone Freddy (2023) During Its Westward Journey Through the Southern Tropical Indian Ocean. Geophysical Research Letters, 50(20), https://doi.org/10.1029/2023gl105729
Lu, C., Y. Zheng, Z. Wu, Y. Zhang, Q. Wang, Z. Wang, Y. Liu, and Y. Zhong, 2023: TropNet: a deep spatiotemporal neural network for tropospheric delay modeling and forecasting. Journal of Geodesy, 97(4), https://doi.org/10.1007/s00190-023-01722-4
Lupo, K. M., C. S. Schwartz, and G. S. Romine, 2023: Displacement Error Characteristics of 500-hPa Cutoff Lows in Operational GFS Forecasts. Weather and Forecasting, 38(10), 1849-1871, https://doi.org/10.1175/WAF-D-22-0224.1
Maynard, I., and A. Abdulla, 2023: Assessing benefits and costs of expanded green hydrogen production to facilitate fossil fuel exit in a net-zero transition. Renewable Energy Focus, 44, 85-97, https://doi.org/10.1016/j.ref.2022.12.002
Nabavi, S. O., T. Christoudias, Y. Proestos, C. Fountoukis, H. Al-Sulaiti, and J. Lelieveld, 2023: Spatiotemporal variation of radionuclide dispersion from nuclear power plant accidents using FLEXPART mini-ensemble modeling. Atmospheric Chemistry and Physics, 23(13), 7719-7739, https://doi.org/10.5194/acp-23-7719-2023
Olascoaga, M. J., and F. J. Beron-Vera, 2023: Exploring the use of Transition Path Theory in building an oil spill prediction scheme. Frontiers in Marine Science, 9, https://doi.org/10.3389/fmars.2022.1041005
Onel, H. C., and I. H. Tuncer, 2023: Short-Term Numerical Forecasting of Near-Ground Wind Fields Using OpenFOAM Coupled With WRF. AIAA SciTech Forum and Exposition, 2023, American Institute of Aeronautics and Astronautics Inc, AIAA, https://doi.org/10.2514/6.2023-1737
Pérez-Carrasquilla, J. S., P. A. Montoya, J. M. Sánchez, K. S. Hernández, and M. Ramírez, 2023: Forecasting 24ĝ€¯h averaged PM2.5 concentration in the Aburrá Valley using tree-based machine learning models, global forecasts, and satellite information. Advances in Statistical Climatology, Meteorology and Oceanography, 9, 121-135, https://doi.org/10.5194/ascmo-9-121-2023
Patil, A. A., and K. Kulkarni, 2023: A Hybrid Machine Learning - Numerical Weather Prediction Approach for Rainfall Prediction. 2023 IEEE India Geoscience and Remote Sensing Symposium, InGARSS 2023, Institute of Electrical and Electronics Engineers Inc., https://doi.org/10.1109/InGARSS59135.2023.10490397
Preto, I., A. Couto, R. Faria, H. Algarvio, T. Santos, and A. Estanqueiro, 2023: Optimizing Wind Power Forecasting in Day-Ahead Markets: the best Meteorological Parameters for Maximum Energy Value. IET Conference Proceedings, 2023, 95-102, https://doi.org/10.1049/icp.2023.2723
San Jose, R., and J. L. Perez-Camanyo, 2023: High-resolution impacts of green areas on air quality in Madrid. Air Quality, Atmosphere & Health, 16(1), 37-48, https://doi.org/10.1007/s11869-022-01263-3
Silveira de Souza, N. G., J. Lugon Jr., E. N. Yamasaki, I. Kyriakides, and A. J. Neto, 2023: AN ASSESSMENT OF RELATIVE POTENTIAL IMPACTS TO CYPRUS’ SHORELINE DUE TO OIL SPILLS IN THE EASTERN MEDITERRANEAN SEA. Journal of Integrated Coastal Zone Management, 23, 29-42, https://doi.org/10.5894/rgci-n499
Tsoumas, I., G. Giannarakis, V. Sitokonstantinou, A. Koukos, D. Loka, N. Bartsotas, C. Kontoes, and I. Athanasiadis, 2023: Evaluating Digital Agriculture Recommendations with Causal Inference. Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, AAAI Press, 14514-14522, https://doi.org/10.1609/aaai.v37i12.26697
Uttamang, P., R. Janta, S. H. Bran, R. Macatangay, V. Surapipith, W. Tala, and S. Chantara, 2023: Effects of biogenic volatile organic compounds and anthropogenic NOx emissions on O3 and PM2.5 formation over the northern region of Thailand. Frontiers in Environmental Science, 11, https://doi.org/10.3389/fenvs.2023.1146437
Varona, H. L., T. A. Capuano, C. Noriega, J. Araujo, M. Araujo, and F. Hernandez, 2023: DSCompare: Unleashing the potential of ocean and atmospheric data with a comparative analysis software. Software Impacts, 18, https://doi.org/10.1016/j.simpa.2023.100578
Wu, K., P. I. Palmer, D. Wu, D. Jouglet, L. Feng, and T. Oda, 2023: Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions. Atmospheric Measurement Techniques, 16(2), 581-602, https://doi.org/10.5194/amt-16-581-2023
Xu, X., J. J. Voermans, W. Zhang, B. Zhao, F. Qiao, Q. liu, I. Moon, I. Janekovic, T. Waseda, and A. V. Babanin, 2023: Tropical Cyclone Modeling With the Inclusion of Wave-Coupled Processes: Sea Spray and Wave Turbulence. Geophysical Research Letters, 50(24), https://doi.org/10.1029/2023GL106536
Yang, L., W. Duan, and Z. Wang, 2023: An approach to refining the ground meteorological observation stations for improving PM2.5 forecasts in the Beijing-Tianjin-Hebei region. Geoscientific Model Development, 16(13), 3827-3848, https://doi.org/10.5194/gmd-16-3827-2023
Zhou, Y., Y. Liu, and W. Han, 2023: Demonstrating the Potential Impacts of Assimilating FY-4A Visible Radiances on Forecasts of Cloud and Precipitation with a Localized Particle Filter. Monthly Weather Review, 151(5), 1167-1188, https://doi.org/10.1175/MWR-D-22-0133.1
2022
ARDIANTO, R., A. ISMANTO, J. SAMPURNO, and S. WIDADA, 2022: TIDAL FLOOD MODEL PROJECTION USING LAND SUBSIDENCE PARAMETER IN PONTIANAK, INDONESIA. Geographia Technica, 17(2), 135-147, https://doi.org/10.21163/GT_2022.172.12
Alerskans, E., J. Nyborg, M. Birk, and E. Kaas, 2022: A transformer neural network for predicting near-surface temperature. Meteorological Applications, 29, https://doi.org/10.1002/met.2098
Arrieta-Prieto, M., and K. R. Schell, 2022: Spatio-temporal probabilistic forecasting of wind power for multiple farms: A copula-based hybrid model. International Journal of Forecasting, 38(1), 300-320, https://doi.org/10.1016/j.ijforecast.2021.05.013
Bart, A. A., T. B. Zhuravleva, T. K. Sklyadneva, and M. Y. Arshinov, 2022: Simulation of downward solar radiation and profiles of meteorological parameters using model complex WRF-Solar under summer conditions in Tomsk. Proceedings of SPIE - The International Society for Optical Engineering, SPIE, https://doi.org/10.1117/12.2644769
Buzin, I., I. Buzin, S. Klyachkin, S. Klyachkin, K. Smirnov, S. Mikhaltceva, Y. Sokolova, Y. Gudoshnikov, G. Voinov, M. Mikhaltceva, Y. Sokolova, Y. Gudoshnikov, G. Voinov, and M. Grigoryev, 2022: COMPRESSION OF THE ICE COVER IN THE PECHORA SEA: A NATURAL PHENOMENON AND ITS IMPACT ON MARINE OPERATIONS. Arktika: Ekologia i Ekonomika, 12, 500-512, https://doi.org/10.25283/2223-4594-2022-4-500-512
Davis, S., L. Pentakota, N. Saptarishy, and P. P. Mujumdar, 2022: A Flood Forecasting Framework Coupling a High Resolution WRF Ensemble With an Urban Hydrologic Model. Frontiers in Earth Science, 10, https://doi.org/10.3389/feart.2022.883842
Diaz-Fernandez, J., P. Bolgiani, D. Santos-Muñoz, L. Quitian-Hernandez, M. Sastre, F. Valero, J. Farran, J. J. Gonzalez-Aleman, and M. L. Martin, 2022: Comparison of the WRF and HARMONIE models ability for mountain wave warnings. Atmospheric Research, 265, https://doi.org/10.1016/j.atmosres.2021.105890
Gebremichael, M., H. Yue, V. Nourani, and R. Damoah, 2022: The Skills of Medium-Range Precipitation Forecasts in the Senegal River Basin. Sustainability, 14(6), 3349, https://doi.org/10.3390/su14063349
Gebremichael, M., H. Yue, and V. Nourani, 2022: The Accuracy of Precipitation Forecasts at Timescales of 1-15 Days in the Volta River Basin. Remote Sensing, 14(4), 937, https://doi.org/10.3390/rs14040937
Jia, M., F. Li, Y. Zhang, M. Wu, Y. Li, S. Feng, H. Wang, H. Chen, W. Ju, J. Lin, J. Cai, Y. Zhang, and F. Jiang, 2022: The Nord Stream pipeline gas leaks released approximately 220,000 tonnes of methane into the atmosphere. Environmental Science and Ecotechnology, 12, https://doi.org/10.1016/j.ese.2022.100210
Köcher, G., T. Zinner, C. Knote, E. Tetoni, F. Ewald, and M. Hagen, 2022: Evaluation of convective cloud microphysics in numerical weather prediction models with dual-wavelength polarimetric radar observations: methods and examples. Atmospheric Measurement Techniques, 15(4), 1033-1054, https://doi.org/10.5194/amt-15-1033-2022
Lachatre, M., S. Mailler, L. Menut, A. Cholakian, P. Sellitto, G. Siour, H. Guermazi, G. Salerno, and S. Giammanco, 2022: Modelling SO2 conversion into sulfates in the mid-troposphere with a 3D chemistry transport model: the case of Mount Etna's eruption on 12 April 2012. Atmospheric Chemistry and Physics, 22(20), 13861-13879, https://doi.org/10.5194/acp-22-13861-2022
Liu, Z., C. Snyder, J. J. Guerrette, B. Jung, J. Ban, S. Vahl, Y. Wu, Y. Trémolet, T. Auligné, B. Ménétrier, A. Shlyaeva, S. Herbener, E. Liu, D. Holdaway, and B. T. Johnson, 2022: Data assimilation for the Model for Prediction Across Scales - Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 1.0.0): EnVar implementation and evaluation. Geoscientific Model Development, 15(20), 7859-7878, https://doi.org/10.5194/gmd-15-7859-2022
Maji, D., P. Shenoy, and R. K. Sitaraman, 2022: CarbonCast: Multi-Day Forecasting of Grid Carbon Intensity. BuildSys 2022 - Proceedings of the 2022 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Association for Computing Machinery, Inc, 198-207, https://doi.org/10.1145/3563357.3564079
Maji, D., R. K. Sitaraman, and P. Shenoy, 2022: DACF. Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, ACM, https://doi.org/10.1145/3538637.3538849
Mazzoglio, P., 2022: "Insights on a global Extreme Rainfall Detection System", in Precipitation Science. Ed. S. Michaelides, Elsevier, 135-155.
Mohan, P. R., C. V. Srinivas, V. Yesubabu, V. B. Rao, K. P. Murthy, and B. Venkatraman, 2022: Impact of SST on the intensity prediction of Extremely Severe Tropical Cyclones Fani and Amphan in the Bay of Bengal. Atmospheric Research, 273, https://doi.org/10.1016/j.atmosres.2022.106151
Parker, D. J., A. M. Blyth, S. J. Woolnough, A. J. Dougill, C. L. Bain, E. de Coning, M. Diop-Kane, A. Kamga Foamouhoue, B. Lamptey, O. Ndiaye, P. Ruti, E. A. Adefisan, L. K. Amekudzi, P. Antwi-Agyei, C. E. Birch, C. Cafaro, H. Carr, B. Chanzu, S. J. Clarke, H. Coskeran, S. K. Danuor, F. M. de Andrade, K. Diakaria, C. Dione, C. A. Diop, J. K. Fletcher, A. T. Gaye, J. L. Groves, M. Gudoshava, A. J. Hartley, L. C. Hirons, I. Ibrahim, T. D. James, K. A. Lawal, J. H. Marsham, J. N. Mutemi, E. C. Okogbue, E. Olaniyan, J. B. Omotosho, J. Portuphy, A. J. Roberts, J. Schwendike, Z. T. Segele, T. H. Stein, A. L. Taylor, C. M. Taylor, T. A. Warnaars, S. Webster, B. J. Woodhams, and L. Youds, 2022: The African SWIFT Project: Growing Science Capability to Bring about a Revolution in Weather Prediction. Bulletin of the American Meteorological Society, 103(2), E349-E369, https://doi.org/10.1175/bams-d-20-0047.1
Prince, K. C., and C. Evans, 2022: Convectively Generated Negative Potential Vorticity Enhancing the Jet Stream through an Inverse Energy Cascade during the Extratropical Transition of Hurricane Irma. Journal of the Atmospheric Sciences, 79(11), 2901-2918, https://doi.org/10.1175/JAS-D-22-0094.1
Shirai, T., Y. Enomoto, M. Watanabe, and T. Arikawa, 2022: Sensitivity analysis of the physics options in the Weather Research and Forecasting model for typhoon forecasting in Japan and its impacts on storm surge simulations. Coastal Engineering Journal, 64(4), 506-532, https://doi.org/10.1080/21664250.2022.2124040
Starchenko, A. V., E. A. Danilkin, E. A. Shelmina, L. I. Kizhner, S. A. Prokhanov, S. L. Odintsov, A. Z. Fazliev, A. I. Privezentsev, and A. I. Svarovsky, 2022: Modelling system for short-term forecast of weather and air quality above a city. 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, SPIE, https://doi.org/10.1117/12.2644992
Starchenko, A. V., M. A. Tolstykh, V. G. Mizyak, A. I. Svarovsky, and S. A. Prokhanov, 2022: A local observation data assimilation in mesoscale numerical weather prediction models. 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, SPIE, https://doi.org/10.1117/12.2644943
Sun, D., W. Huang, Y. Luo, J. Luo, J. S. Wright, H. Fu, and B. Wang, 2022: A Deep Learning-Based Bias Correction Method for Predicting Ocean Surface Waves in the Northwest Pacific Ocean. Geophysical Research Letters, 49(23), https://doi.org/10.1029/2022GL100916
Tositti, L., E. Brattich, C. Cassardo, P. Morozzi, A. Bracci, A. Marinoni, S. Di Sabatino, F. Porcù, and A. Zappi, 2022: Development and evolution of an anomalous Asian dust event across Europe in March 2020. Atmospheric Chemistry and Physics, 22(6), 4047-4073, https://doi.org/10.5194/acp-22-4047-2022
Villalba-Pradas, A., and F. J. Tapiador, 2022: Empirical values and assumptions in the convection schemes of numerical models. Geoscientific Model Development, 15(9), 3447-3518, https://doi.org/10.5194/gmd-15-3447-2022
West, T. K., and W. J. Steenburgh, 2022: Formation, Thermodynamic Structure, and Airflow of a Japan Sea Polar Airmass Convergence Zone. Monthly Weather Review, 150(1), 157-174, https://doi.org/10.1175/MWR-D-21-0095.1
Weston, M. J., S. J. Piketh, F. Burnet, S. Broccardo, C. Denjean, T. Bourrianne, and P. Formenti, 2022: Sensitivity analysis of an aerosol-aware microphysics scheme in Weather Research and Forecasting (WRF) during case studies of fog in Namibia. Atmospheric Chemistry and Physics, 22(15), 10221-10245, https://doi.org/10.5194/acp-22-10221-2022
Wise, A. S., J. M. Neher, R. S. Arthur, J. D. Mirocha, J. K. Lundquist, and F. K. Chow, 2022: Meso- to microscale modeling of atmospheric stability effects on wind turbine wake behavior in complex terrain. Wind Energy Science, 7(1), 367-386, https://doi.org/10.5194/wes-7-367-2022
Wu, L., D. D. Morabito, J. P. Teixeira, L. Huang, H. M. Nguyen, H. Su, M. A. Soriano, L. Pan, D. S. Kahan, and R. Bhawar, 2022: Prediction of Atmospheric Noise Temperature at the Deep Space Network With Machine Learning. Radio Science, 57(11), https://doi.org/10.1029/2022RS007483
Yang, L., W. Duan, Z. Wang, and W. Yang, 2022: Toward targeted observations of the meteorological initial state for improving the PM2.5 forecast of a heavy haze event that occurred in the Beijing-Tianjin-Hebei region. Atmospheric Chemistry and Physics, 22(17), 11429-11453, https://doi.org/10.5194/acp-22-11429-2022
Yue, H., M. Gebremichael, and V. Nourani, 2022: Evaluation of Global Forecast System (GFS) Medium-Range Precipitation Forecasts in the Nile River Basin. Journal of Hydrometeorology, 23(1), 101-116, https://doi.org/10.1175/JHM-D-21-0110.1
Yue, H., M. Gebremichael, and V. Nourani, 2022: Performance of the Global Forecast System's medium-range precipitation forecasts in the Niger river basin using multiple satellite-based products. Hydrology and Earth System Sciences, 26(1), 167-181, https://doi.org/10.5194/hess-26-167-2022
Zacharias, D. C., and A. Fornaro, 2022: Spill, Transport and Fate Model (STFM): Development and Validation. Revista Ambiente e Agua, 17, https://doi.org/10.4136/ambi-agua.2789
2021
Özen, C., U. Dinç, A. Deniz, and H. Karan, 2021: Wind power generation forecast by coupling numerical weather prediction model and gradient boosting machines in Yahyalı wind power plant. Wind Engineering, 45(5), 1256-1272, https://doi.org/10.1177/0309524X20972115
Alerskans, E., and E. Kaas, 2021: Local temperature forecasts based on statistical post-processing of numerical weather prediction data. Meteorological Applications, 28(4), https://doi.org/10.1002/met.2006
Alessi, M. J., and A. T. DeGaetano, 2021: A comparison of statistical and dynamical downscaling methods for short-term weather forecasts in the US Northeast. Meteorological Applications, 28, https://doi.org/10.1002/met.1976
Anande, D. M., and M. Park, 2021: Impacts of Projected Urban Expansion on Rainfall and Temperature during Rainy Season in the Middle-Eastern Region in Tanzania. Atmosphere, 12(10), https://doi.org/10.3390/atmos12101234
Duzenli, E., I. Yucel, H. Pilatin, and M. T. Yilmaz, 2021: Evaluating the performance of a WRF initial and physics ensemble over Eastern Black Sea and Mediterranean regions in Turkey. Atmospheric Research, 248, https://doi.org/10.1016/j.atmosres.2020.105184
Fujiwara, K., and R. Kawamura, 2021: Active Role of Sea Surface Temperature Changes Over the Kuroshio in the Development of Distant Tropical Cyclones in Boreal Fall. Journal of Geophysical Research: Atmospheres, 126(23), https://doi.org/10.1029/2021jd035056
Ghimire, G. R., W. F. Krajewski, and F. Quintero, 2021: Scale-Dependent Value of QPF for Real-Time Streamflow Forecasting. Journal of Hydrometeorology, 22(7), 1931-1947, https://doi.org/10.1175/JHM-D-20-0297.1
Gonzalez, J. R., F. H. Zambrano, J. A. Valencia, and A. G. Betancourt, 2021: Numerical model for atmospheric temperature prediction in the Pamplonita River Basin, Norte de Santander, Colombia. Periodicals of Engineering and Natural Sciences, 9, 428-438, https://doi.org/10.21533/pen.v9i3.1510
Hewage, P., M. Trovati, E. Pereira, and A. Behera, 2021: Deep learning-based effective fine-grained weather forecasting model. Pattern Analysis and Applications, 24, 343-366, https://doi.org/10.1007/s10044-020-00898-1
Kilicarslan, B. M., I. Yucel, H. Pilatin, E. Duzenli, and M. T. Yilmaz, 2021: Improving WRF-Hydro runoff simulations of heavy floods through the sea surface temperature fields with higher spatio-temporal resolution. Hydrological Processes, 35(9), https://doi.org/10.1002/hyp.14338
Kirthiga, S. M., B. Narasimhan, and C. Balaji, 2021: A multi-physics ensemble approach for short-term precipitation forecasts at convective permitting scales based on sensitivity experiments over southern parts of peninsular India. Journal of Earth System Science, 130, https://doi.org/10.1007/s12040-021-01556-8
Lam, M., and J. C. Fung, 2021: Model Sensitivity Evaluation for 3DVAR Data Assimilation Applied on WRF with a Nested Domain Configuration. Atmosphere, 12(6), 682, https://doi.org/10.3390/atmos12060682
Li, G., and Y. Choi, 2021: HPC cluster-based user-defined data integration platform for deep learning in geoscience applications. Computers & Geosciences, 155, https://doi.org/10.1016/j.cageo.2021.104868
Masoom, A., P. Kosmopoulos, A. Bansal, A. Gkikas, E. Proestakis, S. Kazadzis, and V. Amiridis, 2021: Forecasting dust impact on solar energy using remote sensing and modeling techniques. Solar Energy, 228, 317-332, https://doi.org/10.1016/j.solener.2021.09.033
Myslenkov, S., A. Zelenko, Y. Resnyanskii, V. Arkhipkin, and K. Silvestrova, 2021: Quality of the Wind Wave Forecast in the Black Sea Including Storm Wave Analysis. Sustainability, 13(23), 13099, https://doi.org/10.3390/su132313099
Narasimha Rao, N., S. Paul, M. S. Skekhar, G. P. Singh, A. K. Mitra, and S. C. Bhan, 2021: Unprecedented heavy rainfall event over Yamunanagar, India during 14 July 2016: An observational and modelling study. Meteorological Applications, 28(6), https://doi.org/10.1002/met.2039
Pathakoti, M., A. Muppalla, S. Hazra, M. D. Venkata, K. A. Lakshmi, V. K. Sagar, R. Shekhar, S. Jella, S. S. Rama, and U. Vijayasundaram, 2021: Measurement report: An assessment of the impact of a nationwide lockdown on air pollution - a remote sensing perspective over India. Atmospheric Chemistry and Physics, 21(11), 9047-9088, https://doi.org/10.5194/acp-21-9047-2021
Phillipson, L., Y. Li, and R. Toumi, 2021: Strongly Coupled Assimilation of a Hypothetical Ocean Current Observing Network within a Regional Ocean-Atmosphere Coupled Model: An OSSE Case Study of Typhoon Hato. Monthly Weather Review, 149(5), 1317-1336, https://doi.org/10.1175/MWR-D-20-0108.1
Pilatin, H., I. Yucel, E. Duzenli, and M. T. Yilmaz, 2021: Sensitivity of WRF-derived hydrometeorological extremes to sea surface temperatures in regions with complex topography and diverse climate. Atmospheric Research, 264, https://doi.org/10.1016/j.atmosres.2021.105816
Prata, A. T., L. Mingari, A. Folch, G. Macedonio, and A. Costa, 2021: FALL3D-8.0: A computational model for atmospheric transport and deposition of particles, aerosols and radionuclides - Part 2: Model validation. Geoscientific Model Development, 14, 409-436, https://doi.org/10.5194/gmd-14-409-2021
Rabbani, K. M., S. Das, S. K. Panda, A. Kabir, and M. A. Mallik, 2021: Physical and Dynamical Characteristics of Thunderstorms Over Bangladesh Based on Radar, Satellite, Upper-Air Observations, and WRF Model Simulations. Pure and Applied Geophysics, 178(9), 3747-3767, https://doi.org/10.1007/s00024-021-02847-3
Srivastava, R., and M. Ravichandran, 2021: Spatial and seasonal variations of black carbon over the Arctic in a regional climate model. Polar Science, 30, https://doi.org/10.1016/j.polar.2021.100670
Varela-Bruce, C., and C. Antileo, 2021: Assessment of odour emissions by the use of a dispersion model in the context of the proposed new law in Chile. Journal of Environmental Management, 295, https://doi.org/10.1016/j.jenvman.2021.113208
Wang, X., Q. Zeng, J. Jiao, and Z. Hao, 2021: Evaluation of Weather Research and Forecast (WRF) microphysics schemes in simulating zenith total delay for InSAR atmospheric correction. International Journal of Remote Sensing, 42(9), 3456-3473, https://doi.org/10.1080/01431161.2020.1807649
Williamson, C. J., A. Kupc, A. Rollins, J. Kazil, K. D. Froyd, E. A. Ray, D. M. Murphy, G. P. Schill, J. Peischl, C. Thompson, I. Bourgeois, T. B. Ryerson, G. S. Diskin, J. P. DiGangi, D. R. Blake, T. P. Bui, M. Dollner, B. Weinzierl, and C. A. Brock, 2021: Large hemispheric difference in nucleation mode aerosol concentrations in the lowermost stratosphere at mid- and high latitudes. Atmospheric Chemistry and Physics, 21(11), 9065-9088, https://doi.org/10.5194/acp-21-9065-2021
Zacharias, D. C., C. M. Gama, J. Harari, R. P. da Rocha, and A. Fornaro, 2021: Mysterious oil spill on the Brazilian coast-Part 2: A probabilistic approach to fill gaps of uncertainties. Marine Pollution Bulletin, 173, https://doi.org/10.1016/j.marpolbul.2021.113085
2020
Brands, S., G. Fernández-García, M. García Vivanco, M. Tesouro Montecelo, N. Gallego Fernández, A. D. Saunders Estévez, P. E. Carracedo García, A. Neto Venâncio, P. Melo Da Costa, P. Costa Tomé, C. Otero, M. L. Macho, and J. Taboada, 2020: An exploratory performance assessment of the CHIMERE model (version 2017r4) for the northwestern Iberian Peninsula and the summer season. Geoscientific Model Development, 13(9), 3947-3973, https://doi.org/10.5194/gmd-13-3947-2020
Bunn, P. T., W. F. Holmgren, M. Leuthold, and C. L. Castro, 2020: Using GEOS-5 forecast products to represent aerosol optical depth in operational day-ahead solar irradiance forecasts for the southwest United States. Journal of Renewable and Sustainable Energy, 12(5), https://doi.org/10.1063/5.0020785
Diaz-Fernandez, J., L. Quitian-Hernandez, P. Bolgiani, D. Santos-Muñoz, A. Garcia Gago, S. Fernández-González, F. Valero, A. Merino, E. Garcia-Ortega, J. L. Sanchez, M. Sastre, and M. L. Martin, 2020: Mountain Waves Analysis in the Vicinity of the Madrid-Barajas Airport Using the WRF Model. Advances in Meteorology, 2020, https://doi.org/10.1155/2020/8871546
Hewage, P., A. Behera, M. Trovati, E. Pereira, M. Ghahremani, F. Palmieri, and Y. Liu, 2020: Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station. Soft Computing, 24, 16453-16482, https://doi.org/10.1007/s00500-020-04954-0
Jyoteeshkumar, P., P. V. Kiran, and C. Balaji, 2020: Chennai extreme rainfall event of 2015 under future climate projections using the pseudo global warming dynamic downscaling method. Current Science, 118(12), 1968-1979, https://doi.org/10.18520/cs/v118/i12/1968-1979
Kupc, A., C. J. Williamson, A. L. Hodshire, J. Kazil, E. Ray, T. P. Bui, M. Dollner, K. D. Froyd, K. McKain, A. Rollins, G. P. Schill, A. Thames, B. B. Weinzierl, J. R. Pierce, and C. A. Brock, 2020: The potential role of organics in new particle formation and initial growth in the remote tropical upper troposphere. Atmospheric Chemistry and Physics, 20(23), 15037-15060, https://doi.org/10.5194/acp-20-15037-2020
Lachatre, M., S. Mailler, L. Menut, S. Turquety, P. Sellitto, H. Guermazi, G. Salerno, T. Caltabiano, and E. Carboni, 2020: New strategies for vertical transport in chemistry transport models: application to the case of the Mount Etna eruption on 18 March 2012 with CHIMERE v2017r4. Geoscientific Model Development, 13(11), 5707-5723, https://doi.org/10.5194/gmd-13-5707-2020
Lin, J., K. Emanuel, and J. L. Vigh, 2020: Forecasts of Hurricanes Using Large-Ensemble Outputs. Weather and Forecasting, 35(5), 1713-1731, https://doi.org/10.1175/WAF-D-19-0255.1
Lindner, M., J. Rosenow, and H. Fricke, 2020: Aircraft trajectory optimization with dynamic input variables. CEAS Aeronautical Journal, 11, 321-331, https://doi.org/10.1007/s13272-019-00430-0
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
Ruppert, J. H., A. A. Wing, X. Tang, and E. L. Duran, 2020: The critical role of cloud-infrared radiation feedback in tropical cyclone development. Proceedings of the National Academy of Sciences of the United States of America, 117(45), 27884-27892, https://doi.org/10.1073/pnas.2013584117
Valmassoi, A., J. Dudhia, S. Di Sabatino, and F. Pilla, 2020: Evaluation of three new surface irrigation parameterizations in the WRF-ARW v3.8.1 model: the Po Valley (Italy) case study. Geoscientific Model Development, 13(7), 3179-3201, https://doi.org/10.5194/gmd-13-3179-2020
2019
Herman, A., K. Wojtysiak, and M. Moskalik, 2019: Wind wave variability in Hornsund fjord, west Spitsbergen. Estuarine, Coastal and Shelf Science, 217, 96-109, https://doi.org/10.1016/j.ecss.2018.11.001
Hewage, P., A. Behera, M. Trovati, and E. Pereira, 2019: "Long-Short Term Memory for an Effective Short-Term Weather Forecasting Model Using Surface Weather Data", in Artificial Intelligence Applications and Innovations. Ed. J. MacIntyre, I. Maglogiannis, L. Iliadis, and E. Pimenidis, Springer, 382-390.
Pilguj, N., M. Taszarek, Ł. Pajurek, and M. Kryza, 2019: High-resolution simulation of an isolated tornadic supercell in Poland on 20 June 2016. Atmospheric Research, 218, 145-159, https://doi.org/10.1016/j.atmosres.2018.11.017
Taszarek, M., N. Pilguj, J. Orlikowski, A. Surowiecki, S. Walczakiewicz, W. Pilorz, K. Piasecki, Ł. Pajurek, and M. Półrolniczak, 2019: Derecho evolving from a Mesocyclone-A Study of 11 August 2017 severe weather outbreak in Poland: Event analysis and high-resolution simulation. Monthly Weather Review, 147, 2283-2306, https://doi.org/10.1175/MWR-D-18-0330.1
Uzun, M., M. U. Demirezen, E. Koyuncu, G. Inalhan, J. Lopez, and M. Vilaplana, 2019: Deep Learning Techniques for Improving Estimations of Key Parameters for Efficient Flight Planning. AIAA/IEEE Digital Avionics Systems Conference - Proceedings, Institute of Electrical and Electronics Engineers Inc., https://doi.org/10.1109/DASC43569.2019.9081804
Williamson, C. J., A. Kupc, D. Axisa, K. R. Bilsback, T. Bui, P. Campuzano-Jost, M. Dollner, K. D. Froyd, A. L. Hodshire, J. L. Jimenez, J. K. Kodros, G. Luo, D. M. Murphy, B. A. Nault, E. A. Ray, B. Weinzierl, J. C. Wilson, F. Yu, P. Yu, J. R. Pierce, and C. A. Brock, 2019: A large source of cloud condensation nuclei from new particle formation in the tropics. Nature, 574(7778), 399-403, https://doi.org/10.1038/s41586-019-1638-9
Xylogiannopoulos, K., P. Karampelas, and R. Alhajj, 2019: Multivariate motif detection in local weather big data. Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019, Association for Computing Machinery, Inc, 749-756, https://doi.org/10.1145/3341161.3343518
Zhang, S., and Z. Pu, 2019: Numerical simulation of rapid weakening of Hurricane Joaquin with assimilation of high-definition sounding system dropsondes during the tropical cyclone intensity experiment: Comparison of three- and four-dimensional ensemble-variational data assimilation. Weather and Forecasting, 34, 521-538, https://doi.org/10.1175/WAF-D-18-0151.1
2018
McCorkle, T. A., J. D. Horel, A. A. Jacques, and T. Alcott, 2018: Evaluating the experimental High-Resolution Rapid Refresh-Alaska modeling system using US array pressure observations. Weather and Forecasting, 33(4), 933-953, https://doi.org/10.1175/WAF-D-17-0155.1
