1.黑河中游灌区玉米的光合作用观测数据集(2012)

    本数据的数据以黑河中游灌区的玉米作为观测对象,观测仪器为Licor-6400 XTR,地点选在HiWATER联合试验超级站的附近。通过非控制实验和控制实验(控制二氧化碳和光强)观测玉米的光合作用参数,时间从2012年6月22日-8月24日。

    doi:10.3972/heihe.052.2014.db 离线申请 2014-06-02

    2.海河流域多尺度地表通量与气象要素观测数据集:馆陶站-涡动相关仪(2008-2010)

    该数据集包含了2008年1月1日至2010年12月31日的涡动相关仪观测数据。站点位于河北省馆陶县河寨村,下垫面是玉米/小麦,棉花。观测点的经纬度是115.1274E,36.5150N,海拔30m。 涡动相关仪的采集频率是10Hz,架高为15.6m,超声朝向是正北向,超声风速仪与CO2/H2O分析仪之间的距离是20cm。发布的数据是采用Edire软件对原始采集的10Hz数据进行后处理得到的30分钟数据,其处理的主要步骤包括:野点值剔除,延迟时间校正,坐标旋转(平面拟合法),频率响应修正,超声虚温修正和密度(WPL)修正等。同时对各通量值进行质量评价,主要是大气平稳性(Δst)和湍流相似性特征(ITC)的检验。对Edire软件输出的30min通量值也进行了筛选:(1)剔除仪器出错时的数据;(2)剔除降水前后1h的数据;(3)剔除10Hz原始数据每30min内缺失率大于3%的数据;(4)剔除夜间弱湍流的观测数据(u*小于0.05m/s)。观测数据的平均周期为30分钟,一天48个数据,缺失数据标记为-6999。 涡动相关仪发布的观测数据包括:日期/时间Date/Time,风向Wdir(°),水平风速Wnd(m/s),侧向风速标准差Std_Uy(m/s),超声虚温Tv(℃),水汽密度H2O(g/m3),二氧化碳浓度CO2(mg/m3),摩擦速度Ustar(m/s),奥布霍夫长度,感热通量Hs(W/m2),潜热通量LE(W/m2),二氧化碳通量Fc(mg/(m2s)),感热通量的质量标识QA_Hs,潜热通量的质量标识QA_LE,二氧化碳通量的质量标识QA_Fc。感热、潜热、二氧化碳通量的质量标识分为九级(质量标识1:(0<Δst<15, 0< ITC<30); 2:(16<Δst<30, 0< ITC<30);3:( 0<Δst<30, 31< ITC<75); 4:(31<Δst<75, 0< ITC<30); 5:(0<Δst<75, 31< ITC<100); 6:(76<Δst<100, ITC<100); 7:(Δst<250, ITC<250); 8:(Δst<1000, ITC<1000); 其余为9)。数据时间的含义,如0:30代表0:00-0:30的平均;数据以*.xls格式存储。 观测试验或站点信息请参考 Jia et al,(2012),数据处理请参考Liu et al.(2013)。

    doi:10.3972/haihe.008.2013.db 离线申请 2016-06-30

    3.2016年5-9月葫芦沟小流域土壤和地下水温度监测数据

    一、数据描述 葫芦沟土壤温度监测深度分布为20cm、50cm、100cm、200cm、300cm。地下水温度监测深度为10m。观测频率为1小时/次。观测数据时间范围为2016年5月17日~2016年9月18日。 二、采样地点 葫芦沟小流域土壤温度监测点设置在流域三角洲中部,其地理坐标为99°52′45.38″E, 38°15′21.27″N。

    离线申请 2017-01-07

    4.黑河流域逐月1km LAI产品 (2012)

    算法首先采用冠层BRDF模型,将冠层反射率表示为LAI/FAPAR、波长、土壤和叶片反射率、聚集指数、入射和观测角度等一系列参数的函数。针对几个关键参数建立了参数表作为反演的输入。然后输入经过预处理的地表反射率数据和土地覆盖数据,用查找表(LUT)法反演得到LAI产品。详细算法参见参考文献。 图像格式:tif 图像大小:每景1M左右 时间范围:2012年 时间分辨率:逐月 空间分辨率:1km

    doi:10.3972/heihe.087.2014.db 离线申请 2014-12-27

    5.黄河源区-土地覆盖及植被类型地面验证点数据集

    该数据集包含了2018年8月黄河源区(扎陵湖北面)人工采集的土地覆盖及植被类型地面验证点数据集。数据采集中,以用地类型相对较为均一、完整的斑块作为主要采集对象,在区分其他用地类型及植被类型时相对较易识别和辨识,在地物验证中具有较好的代表性。每个样地首先利用差分GPS仪记录经度(度分秒)、纬度(度分秒)、海拔(0.1米)、采集时间等位置信息,然后以人工目视识别的办法记录主要用地类型和性质、特征、建群种等属性信息,以便回实验室验证和核对。最后,对每个样地拍摄不少于1张的景观照片。在本次采集中,90%以上的样点采集了2张及以上实景照片,以便于在土地利用分类及植被类型提取中进行验证和核查。最后,通过与Google地图的位置核对,数据经过了两轮检验和核查,保证了验证点属性的绝对正确性。

    在线下载 2019-07-12

    6.黑河生态水文遥感试验:非均匀下垫面地表蒸散发的多尺度观测试验-径流观测数据集(4号点-乌靖桥)

    该数据集包含了2012年6月13日至11月24日的黑河中游径流加密观测中4号点的河流水位和流速观测数据。观测点位于甘肃省张掖市靖安乡上堡村黑河桥,河道宽度58米。河床为砂砾石,断面不稳定。观测点的经纬度是N39°03'53.23",E100°25'59.31",海拔1431米。数据说明包括以下部分: 水位观测:采用HOBO压力式水位计,数据涵盖时间段6月14日至8月10日,观测频率30分钟,单位(cm); 流量观测:通过最新技术手段ADCP监测流量,获取精确的水位流量曲线,依托水位过程观测获得径流量变化过程。单位(m3 s-1); 缺值数据统一采用字符串-6999表示。 多尺度观测试验或站点信息请参考Liu et al. (2016),观测数据处理请参考He et al.(2016)。

    doi:10.3972/hiwater.112.2013.db 离线申请 2016-06-30

    7.中国716个气象站光合有效辐射日均值数据集(1951-2010)

    该数据集共包含717个文件,其中station.txt文件主要描述716个站的站点信息,每列分别对应为:经度、纬度和高程;另外以站号命名的716个文件对应716个站的数据,文件中每列分别为:年、月、日和日平均光合有效辐射。 该数据是基于中国气象局常规气象观测要素:温度、湿度、气压和日照时数等估算得到的。(1)算法和模型介绍:该模型发展了光合有效辐射(PAR)波段大气宽波段透过率参数化方案,在晴天情况下考虑了四种衰减过程,分别是:气溶胶的吸收和散射,水汽的吸收,臭氧的吸收和瑞利散射。在此基础上建立了晴空条件下地表PAR估算方案,同时利用日照时数作为衡量云对辐射影响的指标,参数化其对地表PAR的影响,进而估算全天空条件下地表PAR。经验证,估算结果数据集的均方根误差小于14W/m² 。

    doi:10.11888/AtmosphericPhysics.tpe.249398.file 在线下载 2018-07-11

    8.黑河生态水文遥感试验:黑河流域中游核心试验区机载激光雷达DSM点云数据

    2012年7月19日,在黑河中上游的核心观测区域,利用运12飞机,搭载Leica公司ALS70,开展了lidar航空遥感飞行试验。ALS70激光波长为1064纳米,多次回波(1,2,3和末次)。中游地区飞行相对高度1500米(海拔高度2700米),平均点云密度4点/平方米。通过参数检校、点云自动分类和人工编辑等步骤,最终形成DEM和DSM数据产品。

    doi:10.3972/hiwater.149.2013.db 离线申请 2017-08-13

    9.可可西里-土地覆盖及植被类型地面验证点数据集

    该数据集包含了2018年可可西里人工采集的土地覆盖地面验证点数据集。数据采集中,以用地类型相对较为均一、完整的斑块作为主要采集对象,在区分其他用地类型及植被类型时相对较易识别和辨识,在地物验证中具有较好的代表性。每个样地首先利用差分GPS仪记录经度(度分秒)、纬度(度分秒)、海拔(0.1米)、采集时间等位置信息,然后以人工目视识别的办法记录主要用地类型和性质、特征、建群种等属性信息,以便回实验室验证和核对。最后,对每个样地拍摄不少于1张的景观照片。在本次采集中,90%以上的样点采集了2张及以上实景照片,以便于在土地利用分类及植被类型提取中进行验证和核查。最后,通过与Google地图的位置核对,数据经过了两轮检验和核查,保证了验证点属性的绝对正确性。

    在线下载 2019-07-12

    10.黑河生态水文遥感试验:非均匀下垫面地表蒸散发的多尺度观测试验-通量观测矩阵数据集(9号点自动气象站)

    该数据集包含了2012年6月4日至9月17日的通量观测矩阵中9号点的自动气象站观测数据。站点位于甘肃省张掖市盈科灌区农田内,下垫面是玉米。观测点的经纬度是100.38546E, 38.87239N,海拔1543.34m。空气温度、相对湿度传感器架设在5m处,朝向正北;翻斗式雨量计安装在塔顶10米处;风速传感器架设在10米,朝向正北;四分量辐射仪安装在6米处,朝向正南;两个红外表面温度传感器安装在6米处,朝向正南支臂朝向正南,探头朝向是垂直向下;土壤温度探头埋设在地表0cm和地下2cm、4cm、处,并距离气象塔2米的正南方; 土壤水分传感器分别埋设在地下2cm、4cm、处,并距离气象塔2米的正南方;土壤热流板(3块)依次埋设在地下6 cm处,其中两块埋设在棵间,一块埋设在植株下面。观测项目有:空气温湿观测(Ta_5m、RH_5m)(单位:摄氏度、百分比)、降水(Rain)(单位:毫米)、风速(WS_10m)(单位:米/秒)、辐射四分量(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)、 多层土壤水分(Ms_2cm、Ms_4cm)(单位:百分比)和多层土壤温度(Ts_0cm、Ts_2cm 、Ts_4cm)(单位:摄氏度) 。观测数据的处理与质量控制:(1)确保每天1440个数据(每10min),若出现数据的缺失,则由-6999标示;(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)日期和时间的格式统一,并且日期、时间在同一列。如,时间为:2012-6-10 10:30;(5)命名规则为:AMS+站点编号 。 多尺度观测试验或站点信息请参考Liu et al. (2016),观测数据处理请参考Xu et al.(2013)。

    doi:10.3972/hiwater.067.2013.db 离线申请 2016-06-30

Observation dataset of maize photosynthesis in the irrigating areas of the midstream of the Heihe River Basin (2012)

The aerosol optical thickness data of the Arctic Alaska station is based on the observation data products of the atmospheric radiation observation plan of the U.S. Department of energy at the Arctic Alaska station. The data coverage time is updated from 2017 to 2019, with the time resolution of hour by hour. The coverage site is the northern Alaska station, with the longitude and latitude coordinates of (71 ° 19 ′ 22.8 ″ n, 156 ° 36 ′ 32.4 ″ w). The source of the observed data is retrieved from the radiation data observed by mfrsr instrument. The characteristic variable is aerosol optical thickness, and the error range of the observed inversion is about 15%. The data format is NC format. The aerosol optical thickness data of Qomolangma station and Namuco station in the Qinghai Tibet Plateau is based on the observation data products of Qomolangma station and Namuco station from the atmospheric radiation view of the Institute of Qinghai Tibet Plateau of the Chinese Academy of Sciences. The data coverage time is from 2017 to 2019, the time resolution is hour by hour, the coverage sites are Qomolangma station and Namuco station, the longitude and latitude coordinates are (Qomolangma station: 28.365n, 86.948e, Namuco station Mucuo station: 30.7725n, 90.9626e). The source of the observed data is retrieved from the radiation data observed by mfrsr instrument. The characteristic variable is aerosol optical thickness, and the error range of the observed inversion is about 15%. The data format is TXT.

2019-10-18 3778 1 offline More

Multi-scale surface flux and meteorological elements observation dataset in the Hai River Basin (Guantao site-eddy covariance system) (2008-2010)

The aerosol optical thickness data of the Arctic Alaska station is based on the observation data products of the atmospheric radiation observation plan of the U.S. Department of energy at the Arctic Alaska station. The data coverage time is updated from 2017 to 2019, with the time resolution of hour by hour. The coverage site is the northern Alaska station, with the longitude and latitude coordinates of (71 ° 19 ′ 22.8 ″ n, 156 ° 36 ′ 32.4 ″ w). The source of the observed data is retrieved from the radiation data observed by mfrsr instrument. The characteristic variable is aerosol optical thickness, and the error range of the observed inversion is about 15%. The data format is NC format. The aerosol optical thickness data of Qomolangma station and Namuco station in the Qinghai Tibet Plateau is based on the observation data products of Qomolangma station and Namuco station from the atmospheric radiation view of the Institute of Qinghai Tibet Plateau of the Chinese Academy of Sciences. The data coverage time is from 2017 to 2019, the time resolution is hour by hour, the coverage sites are Qomolangma station and Namuco station, the longitude and latitude coordinates are (Qomolangma station: 28.365n, 86.948e, Namuco station Mucuo station: 30.7725n, 90.9626e). The source of the observed data is retrieved from the radiation data observed by mfrsr instrument. The characteristic variable is aerosol optical thickness, and the error range of the observed inversion is about 15%. The data format is TXT.

2019-10-18 4553 5 offline More

Source region of Yellow River - land cover and vegetation type ground verification point dataset

The dataset is the ground verification point dataset of land cover and vegetation type in the Source Region of Yellow River (in the north of Zaling Lake, Qinghai Province) which collected during August 2018. In the dataset, the homogeneous patches are considered as the main targets of this collection. They are easy to be recognized out and distinguished from other vegetation types. And these samples have high representativeness comparing with other land surface features. In each sample, the geographical references, longitude and latitude (degree, minute, second), time (24h) and elevation (0.1m) are recorded firstly according to GPS positioning. Vegetation types, constructive species, characteristics, land types and features, landmarks, etc. are recorded into the property table manually for checking in laboratory. At last, each sample place has been taken at least 1 photography. In this dataset, 90% or more samples have been taken 2 or more in field landscape photographs for land use type and vegetation classification examination. We have carefully examined the position accuracy of each sample in Google Earth. After 2 rounds of checking and examination, the accuracy and reliability of the property of each sample have been guaranteed.

2019-09-12 210 13 online More

HiWATER: Dataset of intensive runoff observations of No.4 in the midstream of the Heihe River Basin of the MUlti-Scale Observation EXperiment on Evapotranspiration over heterogeneous land surfaces 2012 (MUSOEXE-12)

The No. 4 hydrological section is located at Wujin Heihe River Bridge (39 ° 03′53 .23 ″ N, 100 ° 25′59 .31″ E, 1431 m a.s.l.) in the middle reaches of the Heihe River Basin, Zhangye, Gansu Province. The dataset contains observations from the No.4 hydrological section from 10 June, 2012, to 10 August, 2012. The width of this section is 58 meters. The cross-sectional area is unstable because of human factors. The water level was measured using HOBO pressure range and the discharge was measured using cross-section reconnaissance by the StreamPro ADCP. The dataset includes the following sections: Water level (recorded every 30 minutes) and Discharge. The data processing and quality control steps were as follows: 1) The water level data which collected from the hydrological station were averaged over intervals of 10 min for a total of 144 records per day. The missing data were denoted by -6999. 2) Data out the normal range records were rejected. 3) Unphysical data were rejected. For more information, please refer to Liu et al. (2016) (for multi-scale observation experiment or sites information), He et al. (2016) (for data processing) in the Citation section.

2019-09-15 7490 0 offline More

Daily verage photosynthetically active radiation dataset for 716 weather stations in China (1951-2010)

This data set contains a total of 717 files, among which the station.txt file mainly describes the site information of 716 stations. The columns correspond to longitude, latitude and elevation. The other 716 files denoted by station number correspond to the data of the 716 stations. The columns in the files are year, month, day and daily average photosynthetically active radiation. The data are the estimations on the basis of the conventional meteorological elements observed by the China Meteorological Administration: temperature, humidity, pressure and sunshine hours. (1) Algorithm and model introduction: This model develops a parameterization scheme for atmospheric broadband transmittance of the photosynthetically active radiation (PAR) band. It takes into account four decay processes in clear weather, which are aerosol scattering and absorption, water vapor absorption, ozone absorption, and Rayleigh scattering. On this basis, the estimation scheme of surface PAR under clear sky conditions is established. At the same time, sunshine hours are used as indicators to measure the influence of clouds on radiation, and its influence on surface PAR is parameterized to estimate the surface PAR under full sky conditions. It is verified that the root mean square error of the estimated results of the data set is less than 14 W/m² .

2019-09-14 230 17 online More

HiWATER: Airborne LiDAR-DSM data production in the middle reaches of the Heihe River Basin

On 19 July 2012 (UTC+8), Leica ALS70 airborne laser scanner carried by the Harbin Y-12 aircraft was used in a LiDAR airborne optical remote sensing experiment. The relative flight altitude is 1500 m (the elevation of 2700 m). Leica ALS70 airborne laser scanner has unlimited numbers of returns intensities measurements including the first, second ,third return intensities. The wavelength of laser light is 1064 nm with the point cloud density 4 points per square meter. Based on the original Airborne LiDAR-DSM data production were obtained through parameter calibration, automatic classification of point cloud density and manual editing.

2019-05-23 6848 0 offline More

Hoh Xil - land cover and vegetation type ground verification point dataset

The dataset is the ground verification point dataset of land cover and vegetation type in the Hoh Xil (in the northwest of Qinghai Province) which collected during August 2018. In the dataset, the homogeneous patches are considered as the main targets of this collection. They are easy to be recognized out and distinguished from other vegetation types. And these samples have high representativeness comparing with other land surface features. In each sample, the geographical references, longitude and latitude (degree, minute, second), time (24h) and elevation (0.1m) are recorded firstly according to GPS positioning. Vegetation types, constructive species, characteristics, land types and features, landmarks, etc. are recorded into the property table manually for checking in laboratory. At last, each sample place has been taken at least 1 photography. In this dataset, 90% or more samples have been taken 2 or more in field landscape photographs for land use type and vegetation classification examination. We have carefully examined the position accuracy of each sample in Google Earth. After 2 rounds of checking and examination, the accuracy and reliability of the property of each sample have been guaranteed.

2019-09-11 184 8 online More

HiWATER: The multi-scale observation experiment on evapotranspiration over heterogeneous land surfaces 2012 (MUSOEXE-12)-dataset of flux observation matrix(automatic meteorological station of No.9)

This dataset contains the automatic weather station (AWS) measurements from site No.9 in the flux observation matrix from 4 June to 17 September, 2012. The site (100.38546° E, 38.87239° N) was located in a cropland (maize surface) in Yingke irrigation district, which is near Zhangye, Gansu Province. The elevation is 1543.34 m. The installation heights and orientations of different sensors and measured quantities were as follows: air temperature and humidity (HMP45AC; 5 m, towards north), rain gauge (TE525M; 10 m), wind speed (010C; 10 m, towards north), a four-component radiometer (CNR1; 6 m, towards south), two infrared temperature sensors (SI-111; 6 m, vertically downward), soil temperature profile (AV-10T; 0, -0.02, -0.04 m), soil moisture profile (CS616; -0.02, -0.04 m), and soil heat flux (HFP01; 3 duplicates with one below the vegetation and the other between plants, 0.06 m). The observations included the following: air temperature and humidity (Ta_5 m and RH_5 m) (℃ and %, respectively), precipitation (rain, mm), wind speed (Ws_10 m, m/s), four-component radiation (DR, incoming shortwave radiation; UR, outgoing shortwave radiation; DLR_Cor, incoming longwave radiation; ULR_Cor, outgoing longwave radiation; Rn, net radiation; W/m2), infrared temperature (IRT_1 and IR_2, ℃), soil heat flux (Gs_1, below the vegetation; Gs_2 and Gs_3, W/m^2), soil temperature profile (Ts_0 cm, Ts_2 cm, and Ts_4 cm, ℃), and soil moisture profile (Ms_2 cm and Ms_4 cm, %). The data processing and quality control steps were as follows. (1) The AWS data were averaged over intervals of 10 min; therefore, there were 144 records per day. The missing data were filled with -6999. (2) Data in duplicate records were rejected. (3) Unphysical data were rejected. (4) In this dataset, the time of 0:10 corresponds to the average data for the period between 0:00 and 0:10; the data were stored in *.xlsx format. (5) Finally, the naming convention was AWS+ site no. Moreover, suspicious data were marked in red. For more information, please refer to Liu et al. (2016) (for multi-scale observation experiment or sites information), Xu et al. (2013) (for data processing) in the Citation section.

2019-09-14 6816 0 offline More