NOAA Climate Data Record (CDR) of CPC Morphing Technique (CMORPH) High Resolution Global Precipitation Estimates, Version 1
d502002
| DOI: 10.5065/0EFN-KZ90
Citation Statistics for this Dataset:
This dataset has been cited 11 times. See a list of published works that have cited this dataset Published works that have cited this dataset:
2024
Guo, Z., Y. Wang, C. Liu, W. Yang, and J. Liu, 2024: PyMTRD: A Python package for calculating the metrics of temporal rainfall distribution. Environmental Modelling & Software, 182, https://doi.org/10.1016/j.envsoft.2024.106201
Han, Y., W. Jiang, L. Jiang, Y. Yong, K. Yang, T. Gu, N. Guo, and K. Yu, 2024: Corals Reveal Interdecadal Variation of Tropical Cyclones Modulated by Pacific Decadal Oscillation. Journal of Geophysical Research: Atmospheres, 129(7), https://doi.org/10.1029/2024JD040824
He, H., J. Wang, J. Ding, and L. Wang, 2024: Spatial Downscaling of Precipitation Data in Arid Regions Based on the XGBoost-MGWR Model: A Case Study of the Turpan-Hami Region. Land, 13(4), https://doi.org/10.3390/land13040448
Kang, X., J. Dong, W. T. Crow, L. Wei, and H. Zhang, 2024: The Conditional Bias of Extreme Precipitation in Multi-Source Merged Data Sets. Geophysical Research Letters, 51(22), https://doi.org/10.1029/2024GL111378
Li, G., C. Zhao, M. Xu, J. Feng, L. Zhong, R. Li, and Y. Fu, 2024: Simulating Moisture Transport Over the Tibetan Plateau in Summer of 2015 Across Scales With a Global Variable-Resolution Model (MPAS-A). Journal of Geophysical Research: Atmospheres, 129(14), https://doi.org/10.1029/2023JD040205
Liu, M., H. Wang, H. Zhai, X. Zhang, M. Shakir, J. Ma, and W. Sun, 2024: Identifying thresholds of time-lag and accumulative effects of extreme precipitation on major vegetation types at global scale. Agricultural and Forest Meteorology, 358, https://doi.org/10.1016/j.agrformet.2024.110239
2023
Cheng, Y., P. Hui, D. Liu, J. Fang, S. Wang, S. Wang, and J. Tang, 2023: MPAS-A Variable-Resolution Simulations for Summer Monsoon Over China: Comparison Between Global and Regional Configuration. Journal of Geophysical Research: Atmospheres, 128(5), https://doi.org/10.1029/2022jd037541
Qin, W., and Z. Xu, 2023: Application of nanocomposite material to avoid injury by physical sports equipment. Advances in Nano Research, 14(2), 195-200, https://doi.org/10.12989/anr.2023.14.2.195
Wei, P., J. Liu, S. Ye, Z. Sha, and F. Hu, 2023: Real-time GNSS tropospheric parameter prediction of extreme rainfall events in China based on WRF multi-source data assimilation. Advances in Space Research, 73(3), 1611-1629, https://doi.org/10.1016/j.asr.2023.11.044
2022
Liu, H., Z. Wei, and X. Nie, 2022: Assessing the Relationship between Freshwater Flux and Sea Surface Salinity. Remote Sensing, 14(9), 2149, https://doi.org/10.3390/rs14092149
Zhang, S., D. B. Parsons, X. Xu, J. Sun, T. Wu, F. Xu, N. Wei, and G. Chen, 2022: Bores Observed During the Warm Season of 2015-2019 Over the Southern North China Plain. Geophysical Research Letters, 49(15), https://doi.org/10.1029/2022gl099205
