ERA5 Reanalysis
d630000
| DOI: 10.5065/D6X34W69
Citation Statistics for this Dataset:
This dataset has been cited 73 times. See a list of published works that have cited this dataset Published works that have cited this dataset:
2025
Bekić, D., and K. Leskovar, 2025: Evaluating CHIRPS and ERA5 for Long-Term Runoff Modelling with SWAT in Alpine Headwaters. Water, 17(14), 2116, https://doi.org/10.3390/w17142116
Brenowitz, N. D., Y. Cohen, J. Pathak, A. Mahesh, B. Bonev, T. Kurth, D. R. Durran, P. Harrington, and M. S. Pritchard, 2025: A Practical Probabilistic Benchmark for AI Weather Models. Geophysical Research Letters, 52(7), https://doi.org/10.1029/2024gl113656
Chi, M., C. Chen, S. Kao, and J. Liu, 2025: Exploring Flood Predictability in Taiwan through Coupled Atmospheric-Hydrological and High-Performance Hydrodynamic Models. Journal of Hydrometeorology, 26(6), 801-816, https://doi.org/10.1175/jhm-d-24-0126.1
Eastman, R., I. L. Mccoy, P. Zuidema, H. Schulz, and P. Barrett, 2025: Increased Occurrence of Stratiform Clouds in the Caribbean Dry Season Since 1971 From Surface Observations. Journal of Geophysical Research: Atmospheres, 130(4), https://doi.org/10.1029/2024JD042563
Hartmann, H., 2025: Comparison of Precipitation Rates from Global Datasets for the Five-Year Period from 2019 to 2023. Hydrology, 12(1), 4, https://doi.org/10.3390/hydrology12010004
Ming, A., P. Hitchcock, C. Orbe, and K. Dubé, 2025: Phase and Amplitude Relationships Between Ozone, Temperature, and Circulation in the Quasi-Biennial Oscillation. Journal of Geophysical Research: Atmospheres, 130(4), https://doi.org/10.1029/2024jd042469
2024
Forbis, D. C., C. M. Patricola, E. Bercos-Hickey, and W. A. Gallus Jr, 2024: Mid-century climate change impacts on tornado-producing tropical cyclones. Weather and Climate Extremes, 44, https://doi.org/10.1016/j.wace.2024.100684
Wang, W., J. Lu, L. Zhu, S. Dai, and S. Song, 2024: A multimodal deep learning approach for hurricane tack forecast based on encoder-decoder framework. Pattern Analysis and Applications, 27(4), https://doi.org/10.1007/s10044-024-01344-2
Yao, T., W. Wang, W. Yang, G. Zhang, J. Shi, G. Wu, J. Gao, T. Che, S. Liu, W. Immerzeel, H. Zhao, S. Li, M. Zhu, B. Xu, and N. Wang, 2024: Imbalance of the Asian Water Tower characterized by glacier and snow melt. Climate Change Research, 20, 689-698, https://doi.org/10.12006/j.issn.1673-1719.2024.168
2023
Donkin, P. T., and B. J. Abiodun, 2023: Capability and sensitivity of MPAS-A in simulating tropical cyclones over the South-West Indian Ocean. Modeling Earth Systems and Environment, 9(1), 527-542, https://doi.org/10.1007/s40808-022-01517-0
Luo, Y., J. Zhang, M. Yu, X. Liang, R. Xia, Y. Gao, X. Gao, and J. Yin, 2023: On the Influences of Urbanization on the Extreme Rainfall over Zhengzhou on 20 July 2021: A Convection-Permitting Ensemble Modeling Study. Advances in Atmospheric Sciences, 40(3), 393-409, https://doi.org/10.1007/s00376-022-2048-8
McCoy, I. L., D. T. McCoy, R. Wood, P. Zuidema, and F. A. Bender, 2023: The Role of Mesoscale Cloud Morphology in the Shortwave Cloud Feedback. Geophysical Research Letters, 50(2), https://doi.org/10.1029/2022GL101042
Su, L., Q. Cao, S. Shukla, M. Pan, and D. P. Lettenmaier, 2023: Evaluation of Subseasonal Drought Forecast Skill over the Coastal Western United States. Journal of Hydrometeorology, 24(4), 709-726, https://doi.org/10.1175/JHM-D-22-0103.1
Zatsepa, S., S. Zatsepa, A. Ivchenko, А. Knizhnikov, А. Knizhnikov, and V. Solbakov, 2023: ANALYSIS APPROACH TO THE OF METEOROLOGICAL CONDITIONS THAT DETERMINE THE GAP IN RESPONSE TO MARINE OIL SPILLS IN THE ARCTIC ZONE OF THE RUSSIAN FEDERATION. Arktika: Ekologia i Ekonomika, 13, 369-381, https://doi.org/10.25283/2223-4594-2023-3-369-381
Zhan, R., J. Lu, Y. Jiang, T. Li, G. Zhong, and W. Lv, 2023: A Multimodal Deep Learning Approach for Typhoon Track Forecast by Fusing CNN and Transformer Structures. 2023 4th International Conference on Computer Vision, Image and Deep Learning, CVIDL 2023, Institute of Electrical and Electronics Engineers Inc., 391-394, https://doi.org/10.1109/CVIDL58838.2023.10166556
2022
Alessi, M. J., D. A. Herrera, C. P. Evans, A. T. DeGaetano, and T. R. Ault, 2022: Soil Moisture Conditions Determine Land-Atmosphere Coupling and Drought Risk in the Northeastern United States. Journal of Geophysical Research: Atmospheres, 127(6), https://doi.org/10.1029/2021JD034740
Brunner, M. I., and E. M. Dougherty, 2022: Varying Importance of Storm Types and Antecedent Conditions for Local and Regional Floods. Water Resources Research, 58(12), https://doi.org/10.1029/2022wr033249
Eastman, R., I. L. McCoy, and R. Wood, 2022: Wind, Rain, and the Closed to Open Cell Transition in Subtropical Marine Stratocumulus. Journal of Geophysical Research: Atmospheres, 127(20), https://doi.org/10.1029/2022jd036795
Graham, R. M., J. Browell, D. Bertram, and C. J. White, 2022: The application of sub-seasonal to seasonal (S2S) predictions for hydropower forecasting. Meteorological Applications, 29(1), https://doi.org/10.1002/met.2047
Halperin, D. J., T. A. Guinn, S. E. Strazzo, and R. L. Thomas, 2022: Density Altitude: Climatology of Daily Maximum Values and Evaluation of Approximations for General Aviation. Weather, Climate, and Society, 14(4), 1083-1097, https://doi.org/10.1175/WCAS-D-22-0026.1
Huang, X., D. Wang, L. Z. Li, Q. Li, and Z. Zeng, 2022: Modeling Urban Impact on Zhengzhou Storm on July 20, 2021. Journal of Geophysical Research: Atmospheres, 127(22), https://doi.org/10.1029/2022JD037387
Kontis, V., J. E. Bennett, R. M. Parks, T. Rashid, J. Pearson-Stuttard, P. Asaria, B. Zhou, M. Guillot, C. D. Mathers, Y. Khang, M. McKee, and M. Ezzati, 2022: Lessons learned and lessons missed: impact of the coronavirus disease 2019 (COVID-19) pandemic on all-cause mortality in 40 industrialised countries and US states prior to mass vaccination. Wellcome Open Research, 6, 279, https://doi.org/10.12688/wellcomeopenres.17253.2
Lin, H., Z. Li, J. Li, F. Zhang, M. Min, and W. P. Menzel, 2022: Estimate of daytime single-layer cloud base height from advanced baseline imager measurements. Remote Sensing of Environment, 274, https://doi.org/10.1016/j.rse.2022.112970
Mazzeo, A., J. Zhong, C. Hood, S. Smith, J. Stocker, X. Cai, and W. J. Bloss, 2022: Modelling the Impact of National vs. Local Emission Reduction on PM2.5 in the West Midlands, UK Using WRF-CMAQ. Atmosphere, 13(3), 377, https://doi.org/10.3390/atmos13030377
Ming, A., and P. Hitchcock, 2022: What Contributes to the Inter-Annual Variability in Tropical Lower Stratospheric Temperatures?. Journal of Geophysical Research: Atmospheres, 127(1), https://doi.org/10.1029/2021JD035548
Nezhad, M. M., M. Neshat, G. Piras, and D. A. Garcia, 2022: Sites exploring prioritisation of offshore wind energy potential and mapping for wind farms installation: Iranian islands case studies. Renewable & Sustainable Energy Reviews, 168, https://doi.org/10.1016/j.rser.2022.112791
Tipton, M. J., T. L. Lathem, J. S. Fu, and M. F. Tschantz, 2022: Effectiveness of emissions standards on automotive evaporative emissions in Europe under normal and extreme temperature conditions. Environmental Research Communications, 4(8), https://doi.org/10.1088/2515-7620/ac8b69
Vincent, C. L., and Y. Huang, 2022: Meso- and microscale response to variation in cloudiness at three forested sites in the Maritime Continent. Quarterly Journal of the Royal Meteorological Society, 148(742), 418-433, https://doi.org/10.1002/qj.4212
Zhou, W., A. Butcher, A. M. Brisbourne, S. Kufner, J. Kendall, and A. L. Stork, 2022: Seismic Noise Interferometry and Distributed Acoustic Sensing (DAS): Inverting for the Firn Layer S-Velocity Structure on Rutford Ice Stream, Antarctica. Journal of Geophysical Research: Earth Surface, 127(12), https://doi.org/10.1029/2022JF006917
den Ouden, O. F., J. D. Assink, P. S. Smets, and L. G. Evers, 2022: A climatology of microbarom detections at the Kerguelen Islands: Unravelling the ambient noise wavefield. Geophysical Journal International, 229, 1646-1664, https://doi.org/10.1093/gji/ggab535
2021
Cerovečki, I., and A. J. Meijers, 2021: Strong Quasi-Stationary Wintertime Atmospheric Surface Pressure Anomalies Drive a Dipole Pattern in the Subantarctic Mode Water Formation. Journal of Climate, 34(17), 6989-7004, https://doi.org/10.1175/JCLI-D-20-0593.1
Grise, K. M., and M. K. Kelleher, 2021: Midlatitude cloud radiative effect sensitivity to cloud controlling factors in observations and models: Relationship with southern hemisphere jet shifts and climate sensitivity. Journal of Climate, 34(14), 5869-5886, https://doi.org/10.1175/JCLI-D-20-0986.1
Guinn, T. A., D. J. Halperin, and C. G. Herbster, 2021: Climatology of estimated altimeter error due to nonstandard temperatures. Journal of Applied Meteorology and Climatology, 60(3), 377-390, https://doi.org/10.1175/JAMC-D-20-0159.1
Haupt, S. E., W. Chapman, S. V. Adams, C. Kirkwood, J. S. Hosking, N. H. Robinson, S. Lerch, and A. C. Subramanian, 2021: Towards implementing artificial intelligence post-processing in weather and climate: proposed actions from the Oxford 2019 workshop. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379(2194), 20200091, https://doi.org/10.1098/rsta.2020.0091
Jung, C., and G. M. Lackmann, 2021: The Response of Extratropical Transition of Tropical Cyclones to Climate Change: Quasi-Idealized Numerical Experiments. Journal of Climate, 34(11), 4361-4381, https://doi.org/10.1175/JCLI-D-20-0543.1
Kaaya, I., J. Ascencio-Vásquez, K. Weiss, and M. Topič, 2021: Assessment of uncertainties and variations in PV modules degradation rates and lifetime predictions using physical models. Solar Energy, 218, 354-367, https://doi.org/10.1016/j.solener.2021.01.071
Kim, W. M., R. Blender, M. Sigl, M. Messmer, and C. C. Raible, 2021: Statistical characteristics of extreme daily precipitation during 1501 BCE-1849 CE in the Community Earth System Model. Climate of the Past, 17(5), 2031-2053, https://doi.org/10.5194/cp-17-2031-2021
Kontis, V., J. E. Bennett, R. M. Parks, T. Rashid, J. Pearson-Stuttard, P. Asaria, B. Zhou, M. Guillot, C. D. Mathers, Y. Khang, M. McKee, and M. Ezzati, 2021: Lessons learned and lessons missed: impact of the coronavirus disease 2019 (COVID-19) pandemic on all-cause mortality in 40 industrialised countries prior to mass vaccination. Wellcome Open Research, 6, 279, https://doi.org/10.12688/wellcomeopenres.17253.1
Kumar, S., K. Biswas, and A. K. Pandey, 2021: "Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data", in Artificial Neural Networks and Machine Learning – ICANN 2021. Ed. I. Farkaš, P. Masulli, S. Otte, and S. Wermter, Springer, 372-383.
LeBel, L. J., B. H. Tang, and R. A. Lazear, 2021: Examining Terrain Effects on an Upstate New York Tornado Event Utilizing a High-Resolution Model Simulation. Weather and Forecasting, 36(6), 2001-2020, https://doi.org/10.1175/WAF-D-21-0018.1
Liu, Y., C. You, Y. Zhang, S. Chen, Z. Zhang, J. Li, and Y. Wu, 2021: Resistance and resilience of grasslands to drought detected by SIF in inner Mongolia, China. Agricultural and Forest Meteorology, 308-309, https://doi.org/10.1016/j.agrformet.2021.108567
Norris, J., A. Hall, J. D. Neelin, C. W. Thackeray, and D. Chen, 2021: Evaluation of the Tail of the Probability Distribution of Daily and Subdaily Precipitation in CMIP6 Models. Journal of Climate, 34(7), 2701-2721, https://doi.org/10.1175/JCLI-D-20-0182.1
Shivam, K., J. Tzou, and S. Wu, 2021: A multi-objective predictive energy management strategy for residential grid-connected PV-battery hybrid systems based on machine learning technique. Energy Conversion and Management, 237, 114103, https://doi.org/10.1016/j.enconman.2021.114103
Shrivastava, M. N., A. K. Maurya, and K. N. Kumar, 2021: Ionospheric perturbation during the South American total solar eclipse on 14th December 2020 revealed with the Chilean GPS eyeball. Scientific Reports, 11(1), https://doi.org/10.1038/s41598-021-98727-w
Sun, X., Y. Luo, X. Gao, M. Wu, M. Li, L. Huang, D. Zhang, and H. Xu, 2021: On the Localized Extreme Rainfall over the Great Bay Area in South China with Complex Topography and Strong UHI Effects. Monthly Weather Review, 149(8), 2777-2801, https://doi.org/10.1175/MWR-D-21-0004.1
Uma, K. N., S. S. Das, M. V. Ratnam, and K. V. Suneeth, 2021: Assessment of vertical air motion among reanalyses and qualitative comparison with very-high-frequency radar measurements over two tropical stations. Atmospheric Chemistry and Physics, 21(3), 2083-2103, https://doi.org/10.5194/acp-21-2083-2021
Zhang, Y., F. Yu, G. Luo, J. Fan, and S. Liu, 2021: Impacts of long-range-transported mineral dust on summertime convective cloud and precipitation: a case study over the Taiwan region. Atmospheric Chemistry and Physics, 21(23), 17433-17451, https://doi.org/10.5194/acp-21-17433-2021
den Ouden, O. F., P. S. Smets, J. D. Assink, and L. G. Evers, 2021: A Bird’s-Eye View on Ambient Infrasonic Soundscapes. Geophysical Research Letters, 48(17), https://doi.org/10.1029/2021GL094555
2020
Demirdjian, R., J. R. Norris, A. Martin, and F. M. Ralph, 2020: Dropsonde Observations of the Ageostrophy within the Pre-Cold-Frontal Low-Level Jet Associated with Atmospheric Rivers. Monthly Weather Review, 148(4), 1389-1406, https://doi.org/10.1175/MWR-D-19-0248.1
Denisova, N. Y., K. G. Gribanov, and M. Werner, 2020: Validation of ECHAM AGCMs Using Laser Spectrometer Data from Two Arctic Stations. Atmospheric and Oceanic Optics, 33(6), 702-707, https://doi.org/10.1134/S1024856020060093
Denisova, N. Y., K. G. Gribanov, and M. Werner, 2020: Verification of the isotopic atmospheric general circulation model for a monitoring station in Labytnangi. Proceedings of SPIE - The International Society for Optical Engineering, SPIE, https://doi.org/10.1117/12.2575615
Grasmick, C., and B. Geerts, 2020: Detailed Dual-Doppler Structure of Kelvin-Helmholtz Waves from an Airborne Profiling Radar over Complex Terrain. Part I: Dynamic Structure. Journal of the Atmospheric Sciences, 77(5), 1761-1782, https://doi.org/10.1175/JAS-D-19-0108.1
Massari, C., L. Brocca, T. Pellarin, G. Abramowitz, P. Filippucci, L. Ciabatta, V. Maggioni, Y. Kerr, and D. Fernandez Prieto, 2020: A daily 25 km short-latency rainfall product for data-scarce regions based on the integration of the Global Precipitation Measurement mission rainfall and multiple-satellite soil moisture products. Hydrology and Earth System Sciences, 24(5), 2687-2710, https://doi.org/10.5194/hess-24-2687-2020
Maurya, A. K., M. N. Shrivastava, and K. N. Kumar, 2020: Ionospheric monitoring with the Chilean GPS eyeball during the South American total solar eclipse on 2nd July 2019. Scientific Reports, 10(1), https://doi.org/10.1038/s41598-020-75986-7
Miller, P. W., and C. A. Ramseyer, 2020: Did the climate forecast system anticipate the 2015 caribbean drought?. Journal of Hydrometeorology, 21, 1245-1258, https://doi.org/10.1175/JHM-D-19-0284.1
Onwukwe, C., and P. L. Jackson, 2020: Meteorological Downscaling with WRF Model, Version 4.0, and Comparative Evaluation of Planetary Boundary Layer Schemes over a Complex Coastal Airshed. Journal of Applied Meteorology and Climatology, 59(8), 1295-1319, https://doi.org/10.1175/JAMC-D-19-0212.1
Rauterkus, R., and C. Ansorge, 2020: Cloud-Top Entrainment in Mixed-Phase Stratocumulus and Its Process-Level Representation in Large-Eddy Simulation. Journal of the Atmospheric Sciences, 77(12), 4109-4127, https://doi.org/10.1175/JAS-D-19-0221.1
Schulte, R. M., C. D. Kummerow, W. Berg, S. C. Reising, S. T. Brown, T. C. Gaier, B. H. Lim, and S. Padmanabhan, 2020: A Passive Microwave Retrieval Algorithm with Minimal View-Angle Bias: Application to the TEMPEST-D CubeSat Mission. Journal of Atmospheric and Oceanic Technology, 37(2), 197-210, https://doi.org/10.1175/JTECH-D-19-0163.1
Song, Z., and J. Zhang, 2020: Diurnal Variations of Summer Precipitation Linking to the Topographical Conditions over the Beijing-Tianjin-Hebei Region. Scientific Reports, 10(1), https://doi.org/10.1038/s41598-020-65743-1
Tei, S., T. Morozumi, S. Nagai, S. Takano, A. Sugimoto, R. Shingubara, R. Fan, A. Fedorov, T. Gavrilyeva, N. Tananaev, and T. Maximov, 2020: An extreme flood caused by a heavy snowfall over the Indigirka River basin in Northeastern Siberia. Hydrological Processes, 34, 522-537, https://doi.org/10.1002/hyp.13601
Wang, Y., X. Zheng, X. Dong, B. Xi, P. Wu, T. Logan, and Y. L. Yung, 2020: Impacts of long-range transport of aerosols on marine-boundary-layer clouds in the eastern North Atlantic. Atmospheric Chemistry and Physics, 20(23), 14741-14755, https://doi.org/10.5194/acp-20-14741-2020
Wever, N., L. Rossmann, N. Maaß, K. C. Leonard, L. Kaleschke, M. Nicolaus, and M. Lehning, 2020: Version 1 of a sea ice module for the physics-based, detailed, multi-layer SNOWPACK model. Geoscientific Model Development, 13(1), 99-119, https://doi.org/10.5194/gmd-13-99-2020
Yagli, G. M., D. Yang, O. Gandhi, and D. Srinivasan, 2020: Can we justify producing univariate machine-learning forecasts with satellite-derived solar irradiance?. Applied Energy, 259, 114122, https://doi.org/10.1016/j.apenergy.2019.114122
Zhou, W., D. Yang, S. Xie, and J. Ma, 2020: Amplified Madden-Julian oscillation impacts in the Pacific-North America region. Nature Climate Change, 10(7), 654-660, https://doi.org/10.1038/s41558-020-0814-0
2019
Carolin, S. A., R. T. Walker, C. C. Day, V. Ersek, R. A. Sloan, M. W. Dee, M. Talebian, and G. M. Henderson, 2019: Precise timing of abrupt increase in dust activity in the Middle East coincident with 4.2 ka social change. Proceedings of the National Academy of Sciences, 116(1), 67-72, https://doi.org/10.1073/pnas.1808103115
Denisova, N. Y., K. G. Gribanov, M. Werner, and N. S. Malygina, 2019: Modeling of isotope composition of precipitation in the foothills of the Altai with two atmospheric circulation models ECHAM. Proceedings of SPIE - The International Society for Optical Engineering, SPIE, https://doi.org/10.1117/12.2540767
Maurya, A. K., M. B. Cohen, K. Niranjan Kumar, D. V. Phanikumar, R. Singh, P. K. Vineeth, and K. Kishore Kumar, 2019: Observation of Very Short Period Atmospheric Gravity Waves in the Lower Ionosphere Using Very Low Frequency Waves. Journal of Geophysical Research: Space Physics, 124(11), 9448-9461, https://doi.org/10.1029/2019JA027360
Schulte, R. M., and C. D. Kummerow, 2019: An optimal estimation retrieval algorithm for microwave humidity sounding channels with minimal Scan Position Bias. Journal of Atmospheric and Oceanic Technology, 36, 409-425, https://doi.org/10.1175/JTECH-D-18-0133.1
Shcherbina, A. Y., E. A. D'Asaro, and R. R. Harcourt, 2019: RAIN AND SUN CREATE SLIPPERY LAYERS IN THE EASTERN PACIFIC FRESH POOL. Oceanography, 32(2), 98-107, https://doi.org/10.5670/oceanog.2019.217
Stopa, J. E., F. Ardhuin, E. Stutzmann, and T. Lecocq, 2019: Sea State Trends and Variability: Consistency Between Models, Altimeters, Buoys, and Seismic Data (1979-2016). Journal of Geophysical Research: Oceans, 124(6), 3923-3940, https://doi.org/10.1029/2018JC014607
Wei, Z., X. Lee, F. Aemisegger, M. Benetti, M. Berkelhammer, M. Casado, K. Caylor, E. Christner, C. Dyroff, O. García, Y. González, T. Griffis, N. Kurita, J. Liang, M. Liang, G. Lin, D. Noone, K. Gribanov, N. C. Munksgaard, M. Schneider, F. Ritter, H. C. Steen-Larsen, C. Vallet-Coulomb, X. Wen, J. S. Wright, W. Xiao, and K. Yoshimura, 2019: A global database of water vapor isotopes measured with high temporal resolution infrared laser spectroscopy. Scientific Data, 6(1), https://doi.org/10.1038/sdata.2018.302
Zhang, B., Y. Yao, L. Xin, and X. Xu, 2019: Precipitable water vapor fusion: an approach based on spherical cap harmonic analysis and Helmert variance component estimation. Journal of Geodesy, 93(12), 2605-2620, https://doi.org/10.1007/s00190-019-01322-1
2018
Denisova, N. Y., K. G. Gribanov, M. Werner, and O. P. Stukova, 2018: Modeling of water isotopes with model ECHAM6-wiso in nudging mode with reanalysis ERA5. Proceedings of SPIE - The International Society for Optical Engineering, SPIE, https://doi.org/10.1117/12.2504540
