Center for Hydrometeorology & Remote Sensing (CHRS), HSSoE, University of California, Irvine, CA, USA.
Department of Water Management, Nong Lam University, Ho Chi Minh City, Vietnam.
Sci Data. 2019 Jan 8;6:180296. doi: 10.1038/sdata.2018.296.
The Center for Hydrometeorology and Remote Sensing (CHRS) has created the CHRS Data Portal to facilitate easy access to the three open data licensed satellite-based precipitation datasets generated by our Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) system: PERSIANN, PERSIANN-Cloud Classification System (CCS), and PERSIANN-Climate Data Record (CDR). These datasets have the potential for widespread use by various researchers, professionals including engineers, city planners, and so forth, as well as the community at large. Researchers at CHRS created the CHRS Data Portal with an emphasis on simplicity and the intention of fostering synergistic relationships with scientists and experts from around the world. The following paper presents an outline of the hosted datasets and features available on the CHRS Data Portal, an examination of the necessity of easily accessible public data, a comprehensive overview of the PERSIANN algorithms and datasets, and a walk-through of the procedure to access and obtain the data.
水文气象和遥感中心 (CHRS) 创建了 CHRS 数据门户，以方便轻松访问我们的基于人工神经网络的遥感信息降水估计 (PERSIANN) 系统生成的三个开放数据许可卫星降水数据集：PERSIANN、PERSIANN-云分类系统 (CCS) 和 PERSIANN-气候数据记录 (CDR)。这些数据集有可能被包括工程师、城市规划师等在内的各种研究人员、专业人员以及广大社区广泛使用。CHRS 的研究人员创建了 CHRS 数据门户，重点是简单性，并有意与来自世界各地的科学家和专家建立协同关系。本文介绍了托管数据集的概述以及 CHRS 数据门户上提供的功能，探讨了易于访问公共数据的必要性，全面概述了 PERSIANN 算法和数据集，并介绍了访问和获取数据的步骤。
