Hydrometeorological data from ROMPS network in Central Asia

The Regional Research Network „Water in Central Asia“ (CAWa) funded by the German Federal Foreign Office consists of 19 remotely operated multi-parameter stations (ROMPS) in Central Asia. These stations were installed by the German Research Centre for Geosciences (GFZ) in Potsdam, Germany in close cooperation with the Central-Asian Institute for Applied Geosciences (CAIAG) in Bishkek, Kyrgyzstan, the national hydrometeorological services in Uzbekistan and Tajikistan, the Ulugh Beg Astronomical Institute in Tashkent, Uzbekistan, and the Kabul Polytechnic University, Afghanistan. The primary objective of these stations is to support the establishment of a reliable data basis of meteorological and hydrological data especially in remote areas with extreme climate conditions in Central Asia for applications in climate and water monitoring. Up to now, ten years of data are provided for an area of scarce station distribution and with limited open access data which can be used for a wide range of scientific or engineering applications. This dataset provides different types of raw hydrometeorological data such as air temperature, relative humidity, air pressure, wind speed and direction, precipitation, solar radiation, soil moisture and soil temperature as well as snow parameters and river discharge information for selected sites. The data has not undergone any quality control mechanism and should, therefore, be seen as raw data. A visual inspection of the data set has been made and some errors and quality degradation are listed in Zech et al. (2020) but does not claim to be complete. A quality control is strongly recommended by the authors before using the data. Each station data has its own storage directory at the data dissemination server named with the abbreviation (4-letter code) of the station. The data is sampled with a 5-minute interval and stored in hourly files separated by the type of data. These files are then archived as monthly files named with the station abbreviation, type of data, year and month. After one year, these monthly files are further archived to a yearly file. A detailed description for the stations is provided by the Station Exposure Descriptions. Further information about the dataset can be found in Zech et al. (2020). All data is compiled as ASCII data in two different formats which are explained in the documents GITW-SSP-FMT-GFZ-003.pdf (for the stations ALAI, ALA6, and SARY) and CAWA-SSP-FMT-GFZ-006.pdf (for all other stations). Monthly, the data will be dynamically extended as long as data can be acquired from the stations. Additionally, the near real-time data can be displayed and downloaded without any registration from the Sensor Data Storage System (SDSS) hosted at the Central-Asian Institute for Applied Geosciences (CAIAG) in Bishkek, Kyrgyzstan.

由德国联邦外交部资助的"中亚水资源"区域研究网络（CAWa），由19台远程操作多参数监测站（remotely operated multi-parameter stations, ROMPS）组成，布设范围覆盖中亚地区。上述监测站由德国波茨坦德国地球科学研究中心（German Research Centre for Geosciences, GFZ）联合吉尔吉斯斯坦比什凯克中亚应用地球科学研究所（Central-Asian Institute for Applied Geosciences, CAIAG）、乌兹别克斯坦与塔吉克斯坦国家水文气象服务部门、乌兹别克斯坦塔什干乌鲁格别克天文研究所以及阿富汗喀布尔理工大学共同部署安装。
本网络的核心目标是为中亚极端气候条件下的偏远区域搭建可靠的气象与水文数据支撑体系，为气候及水资源监测相关应用提供数据基础。截至目前，该数据集已积累十年观测数据，覆盖站点分布稀缺、公开可用数据有限的区域，可广泛应用于多类科学研究与工程实践。
本数据集包含多类原始水文气象数据，具体包括气温、相对湿度、气压、风速与风向、降水量、太阳辐射、土壤湿度与土壤温度，以及积雪参数与河流径流量信息，覆盖全部选定观测站点。所有数据均未经过任何质量控制流程，因此仅作为原始数据供用户使用。研究团队已对数据集开展目视检查，部分误差与质量下降情况已在Zech等人（2020）的研究中列明，但该列表并非完整全面。作者强烈建议用户在使用数据前自行开展质量控制工作。
每个监测站的数据均存储于数据发布服务器的专属目录中，目录以站点的4位缩写代码命名。数据采样间隔为5分钟，按数据类型存储为逐小时文件，随后进一步归档为以站点缩写、数据类型、年份及月份命名的月度文件；数据满一年后，月度文件将整合为年度归档文件。各站点的详细说明可通过《站点暴露描述文档》（Station Exposure Descriptions）获取。有关本数据集的更多细节可参考Zech等人（2020）的研究成果。
所有数据均以ASCII格式存储，共包含两种格式：针对ALAI、ALA6及SARY站点的数据格式详见文档GITW-SSP-FMT-GFZ-003.pdf；针对其余所有站点的数据格式详见文档CAWA-SSP-FMT-GFZ-006.pdf。数据集将每月动态更新，直至获取到站点的最新观测数据。此外，用户无需注册即可在吉尔吉斯斯坦比什凯克中亚应用地球科学研究所（CAIAG）托管的传感器数据存储系统（Sensor Data Storage System, SDSS）中查看并下载近实时观测数据。