黑河生态水文遥感试验：水文气象观测网数据集（景阳岭站自动气象站-2017）

该数据集包含了2017年1月1日至2017年12月31日黑河水文气象观测网上游景阳岭站气象要素观测数据。站点位于青海省祁连县景阳岭垭口，下垫面是高寒草甸。观测点的经纬度是101.1160E, 37.8384N，海拔3750m。空气温度、相对湿度传感器架设在5m处，朝向正北；气压计安装在地面上的防撬箱内；翻斗式雨量计安装在10m处；风速与风向传感器架设在10m，朝向正北；四分量辐射仪安装在6m处，朝向正南；两个红外温度计安装在6m处，朝向正南，探头朝向是垂直向下；土壤温度探头埋设在地表0cm和地下4cm、10cm、20cm、40cm、80cm、120cm、160cm处，在距离气象塔2m的正南方；土壤水分探头埋设在地下4cm、10cm、20cm、40cm、80cm、120cm、160cm处，在距离气象塔2m的正南方；土壤热流板（3块）依次埋设在地下6cm处，在距离气象塔2m的正南方。
观测项目有：空气温湿度（Ta_5m、RH_5m）(单位：摄氏度、百分比)、气压（Press）(单位：百帕)、降水量（Rain）(单位：毫米)、风速（WS_10m）(单位：米/秒)、风向（WD_10m）(单位：度)、四分量辐射（DR、UR、DLR_Cor、ULR_Cor、Rn）(单位：瓦/平方米)、地表辐射温度（IRT_1、IRT_2）(单位：摄氏度)、土壤热通量（Gs_1、Gs_2、Gs_3）(单位：瓦/平方米)、土壤温度（Ts_0cm、Ts_4cm、Ts_10cm、Ts_20cm、Ts_40cm、Ts_80cm、Ts_120cm、Ts_160cm）(单位：摄氏度)、土壤水分（Ms_4cm、Ms_10cm、Ms_20cm、Ms_40cm、Ms_80cm、Ms_120cm、Ms_160cm）(单位：百分比)。
观测数据的处理与质量控制：（1）确保每天144个数据（每10min），若出现数据的缺失，则由-6999标示；4cm土壤水分在11-12月份出现一些无效数值；5.13-5.27和6.7-7.5间由于采集器出现问题，数据缺失；7.17-8.17间风速传感器出现问题，数据缺失；8.6-10.13红外温度传感器出现问题，数据缺失；（2）剔除有重复记录的时刻；（3）删除了明显超出物理意义或超出仪器量程的数据；（4）数据中以红字标示的部分为有疑问的数据；（5）日期和时间的格式统一，并且日期、时间在同一列。如，时间为：2017-9-10 10:30；（6）命名规则为：AWS+站点名称。
水文气象网或站点信息请参考Li et al. (2013)，观测数据处理请参考Liu et al. (2011)。

This dataset contains meteorological element observation data from the Jingyangling Station of the upper reaches of the Heihe River Hydrometeorological Observation Network, covering the period from January 1, 2017 to December 31, 2017. The station is located at the Jingyangling Pass, Qilian County, Qinghai Province, with an alpine meadow as its underlying surface. The coordinates of the observation site are 101.1160°E, 37.8384°N, with an elevation of 3750 m.
Air temperature and relative humidity sensors are installed at a height of 5 m, facing due north; a barometer is installed in a tamper-proof box on the ground; a tipping-bucket rain gauge is installed at 10 m; wind speed and direction sensors are installed at 10 m, facing due north; a four-component radiometer is installed at 6 m, facing due south; two infrared thermometers are installed at 6 m, facing due south, with their probes pointing vertically downward. Soil temperature probes are buried at 0 cm (surface) and 4 cm, 10 cm, 20 cm, 40 cm, 80 cm, 120 cm, 160 cm underground, 2 m due south of the meteorological tower. Soil moisture probes are buried at 4 cm, 10 cm, 20 cm, 40 cm, 80 cm, 120 cm, 160 cm underground, 2 m due south of the meteorological tower. Three soil heat flux plates are sequentially buried at 6 cm underground, 2 m due south of the meteorological tower.
Observation items include: air temperature and humidity (Ta_5m, RH_5m) (units: degrees Celsius, percentage), atmospheric pressure (Press) (unit: hectopascal), precipitation (Rain) (unit: millimeter), wind speed (WS_10m) (unit: meter per second), wind direction (WD_10m) (unit: degree), four-component radiation (DR, UR, DLR_Cor, ULR_Cor, Rn) (unit: watt per square meter), surface radiation temperature (IRT_1, IRT_2) (unit: degrees Celsius), soil heat flux (Gs_1, Gs_2, Gs_3) (unit: watt per square meter), soil temperature (Ts_0cm, Ts_4cm, Ts_10cm, Ts_20cm, Ts_40cm, Ts_80cm, Ts_120cm, Ts_160cm) (unit: degrees Celsius), soil moisture (Ms_4cm, Ms_10cm, Ms_20cm, Ms_40cm, Ms_80cm, Ms_120cm, Ms_160cm) (unit: percentage).
Data processing and quality control of the observations: (1) Ensure 144 data points per day (collected every 10 minutes); missing data is marked with -6999. Some invalid values appear in the 4 cm soil moisture data from November to December. Data is missing from May 13 to May 27 and June 7 to July 5 due to collector malfunctions; data is missing from July 17 to August 17 due to wind speed sensor malfunctions; data is missing from August 6 to October 13 due to infrared temperature sensor malfunctions. (2) Remove duplicate records at the same time stamp. (3) Delete data that obviously exceeds physical limits or instrument measurement ranges. (4) Data marked in red are questionable data. (5) Date and time formats are unified, with date and time in the same column. For example, the time format is: 2017-9-10 10:30. (6) The naming convention is: AWS + station name.
For hydrometeorological network or station information, please refer to Li et al. (2013); for observation data processing procedures, please refer to Liu et al. (2011).

搜集汇总

背景与挑战

背景概述

该数据集是2017年黑河生态水文遥感试验中景阳岭站自动气象站的观测数据，覆盖全年时间，站点位于高海拔高寒草甸地区，观测要素包括空气温湿度、降水、风速风向、辐射、土壤温湿度等多维度水文气象参数。数据集经过严格的质量控制处理，如标记缺失数据和剔除异常值，适用于高寒区生态水文过程研究。