PERSIANN-CDR(Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks - Climate Data Record)是一个基于卫星的降水数据集,用于监测和记录全球降水情况。该数据集通过使用人工神经网络技术从卫星图像中估算降水,并提供长时间序列的气候数据记录。
This dataset is about: Continuous meteorological observations at Georg-von-Neumayer station (1982-04). Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.962313 for more information. Geoc
The GPM Ground Validation Southern Appalachian Rain Gauge IPHEx dataset was collected during the Integrated Precipitation and Hydrology Experiment (IPHEx) field...
The Precipitation Processing System (PPS) evolved from the Tropical Rainfall Measuring Mission (TRMM) Science Data and Information System (TSDIS). The purpose of the PPS is to process, analyze and arc
This file set contains the complete registered meteorological data from the "Tarfala met" AWS 2000. Included in the file set are the complete set of data split into files for each parameter, the origi