five

NOAA CPC Morphing Technique (CMORPH) Global Precipitation Analyses

收藏
DataCite Commons2026-02-04 更新2025-04-16 收录
下载链接:
https://gdex.ucar.edu/datasets/d502000/
下载链接
链接失效反馈
官方服务:
资源简介:
NOTE: This dataset has been superseded by CMORPH version 1.0, which is available in RDA dataset ds502.2 [https://rda.ucar.edu/datasets/ds502.2/]. Users are advised to transition to this updated dataset.CMORPH (CPC MORPHing technique) produces global precipitation analyses at very high spatial and temporal resolution. This technique uses precipitation estimates that have been derived from low orbiter satellite microwave observations exclusively, and whose features are transported via spatial propagation information that is obtained entirely from geostationary satellite infrared data. Precipitation estimates are derived from the passive microwaves aboard the DMSP 13, 14 and 15 (SSM/I), the NOAA-15, 16, 17 and 18 (AMSU-B), and AMSR-E and TMI aboard NASA's Aqua and TRMM spacecraft, respectively. These estimates are generated by algorithms of Ferraro (1997) for SSM/I, Ferraro et al. (2000) for AMSU-B and Kummerow et al. (2001) for TMI. Note that this technique is not a precipitation estimation algorithm but a means by which estimates from existing microwave rainfall algorithms can be combined. Therefore, this method is extremely flexible such that any precipitation estimates from any microwave satellite source can be incorporated.
提供机构:
NSF National Center for Atmospheric Research
创建时间:
2015-10-29
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作