CPC Morphing Technique (CMORPH)

University Corporation for Atmospheric Research2026-03-28 收录

卫星降水估计

降水反演

数据链接：

https://ckanprod.data-commons.k8s.ucar.edu/dataset/cpc-morphing-technique-cmorph 数据链接链接失效反馈

官方服务：

资源简介：

This data set contains the Satellite CPC morphing technique (CMORPH). For more information please see CPC Morphing Technique (CMORPH).

青藏高原CMIP6未来降水预估数据集（2015-2100）

气候变化

卫星降水估计

基于12个CMIP6全球气候模式的未来情景试验数据，通过降尺度和QDM（分位数delta映射）偏差校正的处理，产生了青藏高原地区未来降水预估数据集。数据集涵盖了未来时期（2015-2100）SSP126、SSP245和SSP585三种情景下的每日降水量结果。数据为netCDF格式，时间分辨率为日尺度，空间分辨率为0.25°。该数据集可用于深入研究青藏高原地区未来气候变化的趋势和特征，为青藏高原气

国家青藏高原科学数据中心2023-12-27 更新280

Four sets of remote sensing precipitation data in the upper basin of Yalong River Basin

水文模拟

卫星降水估计

This dataset supports the research presented in the paper Comprehensive Hydrological Evaluation of Satellite-Based Precipitation Products for a Regional River on the Qinghai‒Tibet Plateau: Integrating

IEEE50

GPM ATMS on NOAA-20 (GPROF) Radiometer Precipitation Profiling L2A 1.5 hours 17 km V08 (GPM_2AGPROFNOAA20ATMS) at GES DISC

降水反演

卫星微波辐射计降水测量

Version 08 is the current version of the data set. The 2AGPROF (also known as, GPM GPROF (Level 2)) algorithm retrieves consistent precipitation and related science fields from the following GMI and

EarthData by NASA2026-03-10 更新50

CACTI CSAPR2 Taranis Retrievals

雷达数据处理

降水反演

Taranis is an end-to-end processing chain for radar data written in Python with C extension for computation performance. Features include: masking for quality control, specific differential phase (Kdp

DataCite Commons2024-09-11 更新80

Hydro-Estimator Estimates

卫星降水估计

水文监测

This data set contains Satellite Hydro-Estimator estimates. For more information please see NESDIS/"Hydro-Estimatior" Estimates.

University Corporation for Atmospheric Research50