中亚大湖区-基础数据集-气象-2016

气象数据是一组反映天气的数据，气象数据可分为气候资料和天气资料。本数据集主要包含了气象数据中的降雨数据以及气温数据（数据集中pre代表降雨、T2代表气温）。该数据集来自英国东安格利亚大学（University of East Anglia）提供的CRU（Climate Research Unit）全球格网数据（http://www.cgiar-csi.org/）。CRU数据集通过对中亚365个地区的观测站点资料插值得到，在中亚地区有较高的准确度。本数据集利用CRU通过Arcgis批量裁剪的方式得到中亚五国的降雨以及气温数据。数据格式：GeoTIFF；空间分辨率：0.5°；时间尺度：月尺度。该气象数据应用十分广泛，可与不同领域资源相融合，在交通运输、新能源、农业、移动互联网软件开发和服务、公共管理及基于大数据技术的智慧城市、智慧交通、智慧粮食等领域的开发建设中起到重要作用。

Meteorological data is a set of observational records reflecting weather conditions, which can be classified into climatic data and weather data. This dataset mainly includes rainfall and air temperature data from meteorological records, where "pre" denotes rainfall and "T2" denotes air temperature. This dataset is sourced from the global gridded dataset of the Climate Research Unit (CRU), provided by the University of East Anglia, United Kingdom, and publicly accessible at http://www.cgiar-csi.org/. The CRU dataset was developed by interpolating observational data from 365 meteorological stations across Central Asia, and it exhibits high accuracy in the Central Asian region. This dataset was derived by batch-cropping the CRU global gridded data to extract rainfall and air temperature data for the five Central Asian countries using ArcGIS. Data format: GeoTIFF; Spatial resolution: 0.5°; Temporal scale: Monthly. This meteorological dataset has a wide range of applications and can be integrated with resources from various fields. It plays a critical role in the development and construction of sectors including transportation, new energy, agriculture, mobile internet software development and services, public administration, as well as smart city, smart transportation and smart grain initiatives built on big data technologies.