The data set contains observations from the 40m tower automatic weather station on January 1, 2017 at solstice on December 31, 2017.The station is located in east garden town, huailai county, hebei province.The latitude and longitude of the observation point is 115.7923E, 40.3574N, and the altitude is 480m. The automatic weather station is installed on a 40m tower with a collection frequency of 30s and an output of 10min.The observation factors include 7 layers of air temperature and relative humidity (3m, 5m, 10m, 15m, 20m, 30m, 40m), and the direction is due north.Wind speed on the 7th floor (3m, 5m, 10m, 15m, 20m, 30m, 40m), wind direction (10m), heading due north;Air pressure (installed in waterproof box);Rainfall (3m);Four-component radiation and photosynthetic effective radiation (4m), pointing due south;Infrared surface temperature (8m), the arm is facing south, the probe is facing vertically downward;The soil temperature and humidity probe was buried 1.5m south of the meteorological tower. The soil temperature probe was buried at a depth of 2cm, 4cm, 10cm, 20cm, 40cm, 80cm, 120cm and 160cm. The soil moisture sensor was buried at a depth of 2cm, 4cm, 10cm, 20cm, 80cm, 120cm and 160cm.The average soil temperature was buried 2,4 cm underground.Soil hot flow plates (3) are buried in the ground 6cm. Processing and quality control of observation data :(1) ensure 144 data per day (every 10min). If data is missing, it will be marked by -6999;(2) eliminate the moments with duplicate records;(3) data that is obviously beyond the physical meaning or the range of the instrument is deleted;(4) the format of date and time is unified, and the date and time are in the same column.For example, the time is: 2017-6-1010:30. Guo et al, 2020 is used for site introduction and Liu et al, 2013 for data processing
LIU Shaomin XU Ziwei XIAO Qing
This data set contains the observation data of large aperture scintillator on January 7, 2017 at solstice on December 31, 2017. Two large aperture scintillator models BLS450 and zzlas were installed respectively.The site is located in huailai county, hebei province, east garden town, the underlying surface for corn.The latitude and longitude of the observation point is 115.7880E, 40.3491N, and the altitude is 480m.The effective height of the large aperture scintillation instrument is 14m, the optical diameter length is 1870m, the longitude and latitude of the transmitting end is 115.8023e, 40.3596n, and the longitude and latitude of the receiving end is 115.7825e, 40.3522n.The acquisition frequencies of BLS450 and zzlas were 5Hz and 1Hz respectively, with an average output of 1min. The original data of the large aperture scintillator is 1min, and the released data is the average data of 30min after processing and quality control. Among them, the sensible heat flux is mainly obtained by combining with the data of the automatic meteorological station and by iterative calculation based on the moning-obkhoff similarity theory.In the iterative calculation process, for BLS450, the stability function of Thiermann and Grassl, 1992 was selected.For zzlas, I'm going to pick Andreas 1988's stability function.The main quality control steps include :(1) eliminating the data of Cn2 reaching saturation;(2) eliminate data with weak demodulation signal strength;(3) data of the time of precipitation and the hour before and after the precipitation are excluded;(4) data of weak turbulence under stable conditions were excluded (u* < 0.1m/s). Several notes on the released data :(1) LAS data is mainly BLS450, the missing time is supplemented by zzlas observation, and the missing time of both is marked by -6999.(2) data table: Date/Time: Date/Time, Cn2: air refractive index structure parameter (m-2/3), H_LAS: sensible heat flux (W/m2).The meaning of data time, such as 0:30 represents the average between 0:00 and 0:30;The data is stored in *.xls format. Guo et al, 2020 is used for site introduction and Liu et al, 2013 for data processing
LIU Shaomin XU Ziwei
The data set contains the observation data of 10m tower self-moving meteorological station on January 1, 2016, solstice, December 31, 2016.The station is located in east garden town, huailai county, hebei province.The latitude and longitude of the observation point is 115.7880E, 40.3491N, and the altitude is 480m. The automatic weather station is installed on a 10m tower, the acquisition frequency is 30s, and the output time is 10min.The observation factors include air temperature and relative humidity (5m), and the direction is due north.The wind speed (10m), the wind direction (10m), the direction is due to the north;Air pressure (installed in waterproof box);Rainfall (10m);The four-component radiation (5m), the direction is due to the south;The infrared surface temperature (5m), the arm is facing south, and the probe is facing vertically downward.The soil temperature and humidity probe was buried at 1.5m to the south of the meteorological tower. The buried depth of the soil temperature probe was 0cm, 2cm, 4cm, 10cm, 20cm, 40cm, 80cm, 120cm and 160cm. The buried depth of the soil moisture sensor was 2cm, 4cm, 10cm, 10cm, 10cm, 10cm, 20cm, 80cm, 120cm and 160cm.The average soil temperature was buried 2,4 cm underground.Soil hot flow plates (3) are buried in the ground 6cm. Processing and quality control of observation data :(1) ensure 144 data per day (every 10min). If data is missing, it will be marked by -6999;(2) eliminate the moments with duplicate records;(3) data that is obviously beyond the physical meaning or the range of the instrument is deleted;(4) the format of date and time is unified, and the date and time are in the same column.For example, the time is: 2016-6-10-10:30.During January 1, solstice, April 15, there was a problem with the soil temperature sensor with a depth of 40cm, and the data was missing. Guo et al, 2020 is used for site introduction and Liu et al, 2013 for data processing
LIU Shaomin XU Ziwei
This dataset contains the observation data of large aperture scintillator on January 1, 2013 (solstice) and December 31, 2013. Two large aperture scintillator models BLS450 and zzlas were installed respectively.The site is located in huailai county, hebei province, east garden town, under the surface of corn.The latitude and longitude of the observation point is 115.7880E, 40.3491N, and the altitude is 480m.The effective height of the large aperture scintillation instrument is 14m, the optical diameter length is 1870m, the longitude and latitude of the transmitting end is 115.8023e, 40.3596n, and the longitude and latitude of the receiving end is 115.7825e, 40.3522n.The acquisition frequencies of BLS450 and zzlas were 5Hz and 1Hz respectively, with an average output of 1min. Large aperture flicker meter raw data for 1 min, data released for 30 min after processing and quality control of the average data, including sensible heat flux is mainly combined with the automatic meteorological station data, based on similarity theory alonzo mourning - Mr. Hoff is obtained by iterative calculation, in the process of iterative calculation, for BLS450, select Thiermann and Grassl, the stability of the 1992 universal functions;For zzlas, select Andreas 1988's stability universal function.The main quality control steps include :(1) eliminating the data of Cn2 reaching saturation;(2) eliminate data with weak demodulation signal strength;(3) data of the time of precipitation and the hour before and after the precipitation are excluded;(4) data of weak turbulence under stable conditions were excluded (u* < 0.1m/s). Several notes on the released data :(1) LAS data is mainly BLS450, the missing time is supplemented by zzlas observation, and the missing time of both is marked by -6999.(2) data table: Date/Time: Date/Time, Cn2: air refractive index structure parameter (m-2/3), H_LAS: sensible heat flux (W/m2).The meaning of data time, such as 0:30 represents the average between 0:00 and 0:30;The data is stored in *.xls format Guo et al, 2020 is used for site introduction and Liu et al, 2013 for data processing
LIU Shaomin XU Ziwei
The data set contains the observation data of the 10m tower automatic weather station on December 31, 2013 at 1 solstice on January 1, 2013.Station is located in huailai county, hebei province, east garden town, under the surface of irrigated corn.The latitude and longitude of the observation point is 115.7880E, 40.3491N, and the altitude is 480m. The automatic weather station is installed on a 10m tower, the acquisition frequency is 30s, and the output time is 10min.The observation factors include air temperature and relative humidity (5m), and the direction is due north.The wind speed (10m), the wind direction (10m), the direction is due to the north;Air pressure (installed in waterproof box);Rainfall (10m);The four-component radiation (5m), the direction is due to the south;The infrared surface temperature (5m), the arm is facing south, and the probe is facing vertically downward.The soil temperature and humidity probe was buried 1.5m south of the meteorological tower. The soil temperature probe was buried at a depth of 2cm, 4cm, 10cm, 20cm, 40cm, 80cm, 120cm and 160cm. The soil moisture sensor was buried at a depth of 2cm, 4cm, 10cm, 20cm, 80cm, 120cm and 160cm.The average soil temperature was buried 2,4 cm underground.Soil hot flow plates (3) are buried in the ground 6cm.Processing and quality control of observation data :(1) ensure 144 data per day (every 10min). If data is missing, it will be marked by -6999;(2) eliminate the moments with duplicate records;(3) data that is obviously beyond the physical meaning or the range of the instrument is deleted;(4) the format of date and time is unified, and the date and time are in the same column.For example, the time is: 2013-6-10-10:30.From February 4 to February 27, due to probe problems, soil moisture data at depth of 20, 40, 80 and 120cm were wrong;From January 1st to January 3rd and April 25th solstice May 20th due to probe problems, soil moisture data at depth of 2, 4 and 10cm were wrong;From January 1 to May 10, soil moisture data at 160cm depth was wrong due to probe problems.Dec 11 - dec 31 data missing due to power converter damage. Data released by the automatic weather station include:Date/Time, air temperature and humidity observation (Ta_5m, RH_5m) (℃, %), wind speed (Ws_10m) (m/s), wind direction (WD) (°), pressure (hpa), precipitation (Rain) (mm), four-component radiation (DR, UR, DLR, ULR, Rn) (W/m2), surface radiation temperature (IRT_1, IRT_2) (℃),Soil heat flux (Gs_1, Gs_2, Gs_3) (W/m2), multi-layer soil moisture (Ms_2cm, Ms_4cm, Ms_10cm, Ms_20cm, Ms_40cm, Ms_80cm, Ms_120cm, Ms_160cm) (%), multi-layer soil temperature (Ts_2cm, Ts_4cm, Ts_10cm, Ts_20cm, Ts_40cm, Ts_80cm, Ts_120cm, Ts_160cm) (℃), average soil temperature TCAV (℃). Guo et al, 2020 is used for site introduction and Liu et al, 2013 for data processing.
LIU Shaomin XU Ziwei
This data set contains the observation data of large aperture scintillator on January 1, 2014, solstice, December 31, 2014. Two large aperture scintillator models BLS450 and zzlas were installed respectively.The site is located in huailai county, hebei province, east garden town, under the surface of corn.The latitude and longitude of the observation point is 115.7880E, 40.3491N, and the altitude is 480m.The effective height of the large aperture scintillation instrument is 14m, the optical diameter length is 1870m, the longitude and latitude of the transmitting end is 115.8023e, 40.3596n, and the longitude and latitude of the receiving end is 115.7825e, 40.3522n.The acquisition frequencies of BLS450 and zzlas were 5Hz and 1Hz respectively, with an average output of 1min. Large aperture flicker meter raw data for 1 min, data released for 30 min after processing and quality control of the average data, including sensible heat flux is mainly combined with the automatic meteorological station data, based on similarity theory alonzo mourning - Mr. Hoff is obtained by iterative calculation, in the process of iterative calculation, for BLS450, select Thiermann and Grassl, the stability of the 1992 universal functions;For zzlas, select Andreas 1988's stability universal function.The main quality control steps include :(1) eliminating the data of Cn2 reaching saturation;(2) eliminate data with weak demodulation signal strength;(3) data of the time of precipitation and the hour before and after the precipitation are excluded;(4) data of weak turbulence under stable conditions were excluded (u* < 0.1m/s). Several notes on the released data :(1) LAS data is mainly BLS450, the missing time is supplemented by zzlas observation, and the missing time of both is marked by -6999.(2) data table: Date/Time: Date/Time, Cn2: air refractive index structure parameter (m-2/3), H_LAS: sensible heat flux (W/m2).The meaning of data time, such as 0:30 represents the average between 0:00 and 0:30;The data is stored in *.xls format Guo et al, 2020 is used for site introduction and Liu et al, 2013 for data processing
LIU Shaomin XU Ziwei
The data set contains the observation data of 10m tower vortex correlator on January 1, 2016, solstice, 2016, December 31, 2016.The station is located in east garden town, huailai county, hebei province.The latitude and longitude of the observation point is 115.7880E, 40.3491N, and the altitude is 480m.The acquisition frequency of vortex correlativity instrument is 10Hz, the frame height is 5m, the ultrasonic direction is due to the north, and the distance between the ultrasonic anometer (CSAT3) and the CO2/H2O analyzer (Li7500A) is 15cm. The released data is the 30-minute data obtained from the post-processing of the original collected 10Hz data with Eddypro software. The main steps of the processing include: outfield value elimination, delay time correction, coordinate rotation (secondary coordinate rotation), frequency response correction, ultrasonic virtual temperature correction and density (WPL) correction.Quality assessment for each intercompared to at the same time, mainly is the atmospheric stability (Δ st) and turbulent characteristics of similarity (ITC) test.The 30min pass value output after processing was also screened :(1) the data when the instrument was wrong was removed;(2) data of 1h before and after precipitation were excluded;(3) the missing rate of 10Hz original data is more than 10% every 30min;(4) the observed data of weak turbulence at night were excluded (u* less than 0.1m/s).The average period of observation data was 30 minutes, 48 data a day, and the missing data was marked as -6999.On May 27, BBB 0, July 22, there was a problem with the ultrasonic anemometer, and the data was missing. The observation data released by vortex correlator include:Date/Time for the Date/Time, wind Wdir (°), Wnd horizontal wind speed (m/s), standard deviation Std_Uy lateral wind speed (m/s), ultrasonic virtual temperature Tv (K), the water vapor density H2O (g/m3), carbon dioxide concentration CO2 (mg/m3), friction velocity Ustar) (m/s), the length of cloth hoff, sensible heat flux Hs (W/m2), latent heat flux LE (W/m2), carbon dioxide flux Fc (mg/(m2s)), the quality of the sensible heat flux identifier QA_Hs, the quality of the latent heat flux identifier QA_LE.The quality of the sensible heat and latent heat, carbon dioxide flux identification is divided into three (quality id 0: (Δ st < 30, the ITC < 30);1: (Δ st < 100, ITC < 100);The rest are 2).The meaning of data time, such as 0:30 represents the average between 0:00 and 0:30;The data is stored in *.xls format. Guo et al, 2020 is used for site introduction and Liu et al, 2013 for data processing。
LIU Shaomin XU Ziwei
The data set contains observations from the 10m tower automatic weather station on January 1, 2017 at solstice on December 31, 2017.The station is located in east garden town, huailai county, hebei province.The latitude and longitude of the observation point is 115.7880E, 40.3491N, and the altitude is 480m. The automatic weather station is installed on a 10m tower, the acquisition frequency is 30s, and the output time is 10min.The observation factors include air temperature and relative humidity (5m), and the direction is due north.The wind speed (10m), the wind direction (10m), the direction is due to the north;Air pressure (installed in waterproof box);Rainfall (10m);The four-component radiation (5m), the direction is due to the south;The infrared surface temperature (5m), the arm is facing south, and the probe is facing vertically downward.The soil temperature and humidity probe was buried at 1.5m to the south of the meteorological tower. The buried depth of the soil temperature probe was 0cm, 2cm, 4cm, 10cm, 20cm, 40cm, 80cm, 120cm and 160cm. The buried depth of the soil moisture sensor was 2cm, 4cm, 10cm, 10cm, 10cm, 10cm, 20cm, 80cm, 120cm and 160cm.The average soil temperature was 2, 4cm underground.Soil hot flow plates (3) are buried in the ground 6cm. Processing and quality control of observation data :(1) ensure 144 data per day (every 10min). If data is missing, it will be marked by -6999;(2) eliminate the moments with duplicate records;(3) data that is obviously beyond the physical meaning or the range of the instrument is deleted;(4) the format of date and time is unified, and the date and time are in the same column.For example, the time is: 2017-6-1010:30.During January 1, solstice, April 15, there was a problem with the soil temperature sensor with a depth of 40cm, and the data was missing. Guo et al, 2020 is used for site introduction and Liu et al, 2013 for data processing
LIU Shaomin XU Ziwei
The data set contains the observation data of 40 m tower automatic weather station from January 1, 2016 to December 31, 2016. The site is located in donghuayuan Town, Huailai County, Hebei Province. The longitude and latitude of the observation point are 115.7923e, 40.3574n and 480m above sea level. The automatic weather station is installed on a 40m tower with the acquisition frequency of 30s and output once every 10min. The observation elements include air temperature and relative humidity (3m, 5m, 10m, 15m, 20m, 30m, 40m) in the 7th floor, wind speed (3m, 5m, 10m, 15m, 20m, 30m, 40m) of the 7th floor, wind direction (10m), facing due north; air pressure (installed in waterproof box); rainfall (3m); four component radiation and photosynthetically active radiation (4m), facing due south; infrared surface temperature (8m) The soil temperature and humidity probe is buried 1.5m to the south of the meteorological tower, the soil temperature and humidity probe is buried at 2cm, 4cm, 10cm, 20cm, 40cm, 80cm, 120cm and 160cm, and the soil moisture sensor is 2cm, 4cm, 10cm, 20cm, 40cm, 80cm, 120cm and 160cm; the average soil temperature is buried in the underground 2, 4cm; soil heat flow The slabs (3 pieces) are buried 6 cm underground. Processing and quality control of observation data: (1) ensure 144 data per day (every 10 min), if there is data missing, it will be marked by - 6999; (2) eliminate the time with repeated records; (3) delete the data obviously beyond the physical meaning or instrument range; (4) the format of date and time is unified, and the date and time are in the same column. For example, the time is: 2016-6-10 10:30. The data released by automatic weather station include: date / time, date / time, air temperature (TA)_ 3m, Ta_ 5m, Ta_ 10m, Ta_ 15m, Ta_ 20m, Ta_ 30m, Ta_ 40m) (℃), relative humidity (RH)_ 3m, RH_ 5m, RH_ 10m, RH_ 15m, RH_ 20m, RH_ 30m, RH_ 40m) (%), wind speed (WS_ 3m, Ws_ 5m, Ws_ 10m, Ws_ 15m, Ws_ 20m, Ws_ 30m, Ws_ 40 m (M / s), wind direction (WD) (°), air pressure (HPA), precipitation (mm), four component radiation (DR, ur, DLR, ULR, RN) (w / m2), par (umol / S / m2), surface radiation temperature (IRT)_ 1、IRT_ 2) (℃), soil heat flux (GS)_ 1、Gs_ 2、Gs_ 3) (w / m2), multi-layer soil moisture (MS_ 2cm、Ms_ 4cm、Ms_ 10cm、Ms_ 20cm、Ms_ 40cm、Ms_ 80cm、Ms_ 120cm、Ms_ 160 cm) (%), multilayer soil temperature (TS_ 2cm、Ts_ 4cm、Ts_ 10cm、Ts_ 20cm、Ts_ 40cm、Ts_ 80cm、Ts_ 120cm、Ts_ 160 cm (℃), average soil temperature tcav (℃). Guo et al, 2020 is used for site introduction and Liu et al, 2013 for data processing
LIU Shaomin XU Ziwei XIAO Qing
The data set contains the observation data of 40m tower vortex correlator on January 1, 2017, solstice, 2017, December 31, 2017.The station is located in east garden town, huailai county, hebei province.The latitude and longitude of the observation point is 115.7923E, 40.3574N, and the altitude is 480m.The acquisition frequency of vortex correlativity instrument is 10Hz, the frame height is 3.5m, the ultrasonic direction is due to the north, and the distance between the ultrasonic anemometer (CSAT3) and the CO2/H2O analyzer (EC150) is 0cm. The released data is the 30-minute data obtained from the post-processing of the original collected 10Hz data with Eddypro software. The main steps of the processing include: outfield value elimination, delay time correction, coordinate rotation (secondary coordinate rotation), frequency response correction, ultrasonic virtual temperature correction and density (WPL) correction.Quality assessment for each intercompared to at the same time, mainly is the atmospheric stability (Δ st) and turbulent characteristics of similarity (ITC) test.The 30min pass value output after processing was also screened :(1) the data when the instrument was wrong was removed;(2) data of 1h before and after precipitation were excluded;(3) the missing rate of 10Hz original data is more than 10% every 30min;(4) the observed data of weak turbulence at night were excluded (u* less than 0.1m/s).The average period of observation data was 30 minutes, 48 data a day, and the missing data was marked as -6999.There are many negative values of water vapor density measured by EC150 in winter, filled with -6999. The observation data released by vortex correlator include:Date/Time for the Date/Time, wind Wdir (°), Wnd horizontal wind speed (m/s), standard deviation Std_Uy lateral wind speed (m/s), ultrasonic virtual temperature Tv (K), the water vapor density H2O (g/m3), carbon dioxide concentration CO2 (mg/m3), friction velocity Ustar) (m/s), the length of cloth hoff, sensible heat flux Hs (W/m2), latent heat flux LE (W/m2), carbon dioxide flux Fc (mg/(m2s)), the quality of the sensible heat flux identifier QA_Hs, the quality of the latent heat flux identifier QA_LE.The quality of the sensible heat and latent heat, carbon dioxide flux identification is divided into three (quality id 0: (Δ st < 30, the ITC < 30);1: (Δ st < 100, ITC < 100);The rest are 2).The meaning of data time, such as 0:30 represents the average between 0:00 and 0:30;The data is stored in *.xls format.The data was missing during the period from May 26 to May 29 due to instrument calibration. Guo et al, 2020 is used for site introduction and Liu et al, 2013 for data processing.
LIU Shaomin XU Ziwei XIAO Qing
This data set contains the observation data of 10 m tower eddy covariance instrument from January 1, 2017 to December 31, 2017. The site is located in donghuayuan Town, Huailai County, Hebei Province. The longitude and latitude of the observation point are 115.7880e, 40.3491n and 480m above sea level. The acquisition frequency of the eddy correlator is 10Hz, the height of the frame is 5m, the ultrasonic direction is due north, and the distance between the ultrasonic anemometer (csat3) and the CO2 / H2O analyzer (li7500a) is 15cm. The released data is 30 minutes data obtained by post-processing the original collected 10Hz data by eddypro software. The main processing steps include: outlier value elimination, delay time correction, coordinate rotation (secondary coordinate rotation), frequency response correction, ultrasonic virtual temperature correction and density (WPL) correction. At the same time, the quality evaluation of each flux value is mainly the test of atmospheric stability (Δ st) and turbulence similarity characteristics (ITC). The 30 min flux values output after processing were also screened: (1) the data of instrument error; (2) the data of 1 h before and after precipitation; (3) the data of 10 Hz original data missing more than 10% every 30 min; (4) the observation data of weak turbulence at night (U * less than 0.1 M / s) were eliminated. The average period of observation data is 30 minutes. There are 48 data in a day, and the missing data is marked as - 6999. From May 27 to July 22, the data was missing due to problems with the ultrasonic anemometer. The observational data released by eddy correlator include date / time, wind direction WDIR (°), horizontal wind speed wnd (M / s) and standard deviation of lateral wind speed STD_ Uy (M / s), ultrasonic virtual temperature TV (k), water vapor density H2O (g / m3), carbon dioxide concentration CO2 (mg / m3), friction velocity ustar (M / s), obuhof length, sensible heat flux HS (w / m2), latent heat flux Le (w / M2), carbon dioxide flux FC (mg / (M2S)), quality identification of sensible heat flux QA_ HS, quality identification of latent heat flux QA_ LE。 The quality identification of sensible heat, latent heat and carbon dioxide flux can be divided into three levels (quality mark 0: (Δ st < 30, ITC < 30); 1: (Δ st < 100, ITC < 100); the rest are 2). The meaning of data time, for example, 0:30 represents the average of 0:00-0:30; the data is stored in *. XLS format. Guo et al, 2020 is used for site introduction and Liu et al, 2013 for data processing
LIU Shaomin XU Ziwei
The data set contains the observation data of large aperture scintillator from January 1, 2016 to December 31, 2016. Two large aperture scintillation meters, bls450 and zzlas, are installed respectively. The site is located in donghuayuan Town, Huailai County, Hebei Province. The longitude and latitude of the observation point are 115.7880e, 40.3491n and 480m above sea level. The effective height of the large aperture scintillator is 14m, the optical path length is 1870m, the longitude and latitude of the transmitter are 115.8023e, 40.3596n, and the longitude and latitude of the receiver are 115.7825e and 40.3522n. The acquisition frequency of bls450 and zzlas is 5Hz and 1Hz respectively, with an average output of 1min. The original data of large aperture scintillator is 1 min, and the released data is 30 min average data after processing and quality control. The sensible heat flux is mainly obtained by iterative calculation based on Monin obkhov similarity theory and combined with automatic weather station data. In the process of iterative calculation, for bls450, the stability function of thiermann and Grassl, 1992 is selected; for zzlas, the stability function of Andreas, 1988 is selected. The main quality control steps include: (1) eliminating the data of cn2 saturation; (2) eliminating the data with weak demodulation signal intensity; (3) eliminating the data of precipitation time and one hour before and after; (4) eliminating the data of weak turbulence under stable conditions (U * less than 0.1m/s). Several explanations about the published data are as follows: (1) the Las data is mainly bls450, and the missing time is supplemented by zzlas observation, and the missing time is marked with - 6999. (2) Data header: date / time: date / time, cn2: structure parameter of air refraction index (m-2 / 3), H_ Las: sensible heat flux (w / m2). The meaning of data time, for example, 0:30 represents the average of 0:00-0:30; the data is stored in *. XLS format. Guo et al., 2020; Liu et al., 2013
LIU Shaomin XU Ziwei
The Lunpola Basin in the central Tibetan Plateau is situated along the southern margin of the east-west stretched Banggong-Nujiang suture belt between the Qiangtang Terrane and the Lhasa Terrane. The thick and continuous Cenozoic sediments in the basin can provide great potential for understanding the tectonic uplift, paleoaltimetry, erosion and depositional history of the Tibetan Plateau and climate environmental evolution. However, the study of geologic and climatic changes has been hindered by poor age constraints on the Cenozoic sedimentary sequence in the Lunpola Basin, especially its upper part with typical lacustrine oil shale sediments due to the discontinuous or unexposed outcrop caused by erosion or weathering. In this study, we investigated a 658 m-thick Cenozoic continuous lacustrine sedimentary section, Lunpori, from the upper sequence of the central basin. We found two layers of tuffs in this section and then carried out detailed paleomagnetic measurements. Constrained by tie points of U-Pb zircon ages, the observed magnetic zones are well correlated with chrons C5Bn.2n to C6AAn of the Geomagnetic Polarity Time Scale, yielding ages of ~21.2 to 15 Ma for the section. Lithofacies, pollen and fossil records suggest a relative temperate, humid climate prevailing in the Lunpola Basin during the period of Dingqinghu Formation, indicating that the Indian monsoon occurred before ~26 Ma.Through paleomagnetic analysis and testing of fluvial and lacustrine facies strata in Lumpola Basin since Miocene, 22Ma-15Ma magnetic stratigraphic chronology has been obtained.
TAN Mengqi
This dataset contains land surface soil moisture products with SMAP time-expanded daily 0.25°×0.25°in Qinghai-Tibet Plateau Area. The dataset was produced based on the Random Forest method by utilizing passive microwave brightness temperature along with some auxiliary datasets. The temporal resolution of the product in 1980,1985,1990,1995 and 2000 is monthly, by using SMMR, SSM/I, and SSMIS brightness temperature from 19 GHz V/H and 37 GHz V channels. The temporal resolution of the product between June 20, 2002 and Dec 30, 2018 is daily, by utilizing AMSR-E and AMSR2 brightness temperature from 6.925 GHz V/H, 10.65 GHz V/H, and 36.5 GHz V channels. The auxiliary datasets participating in the Random Forest training include the IGBP land cover type, GTOPO30 DEM, and Lat/Lon information.
CHAI Linna ZHU Zhongli LIU Shaomin
This dataset contains daily 0.01°×0.01° land surface soil moisture products in the Qinghai-Tibet Plateau in 2005, 2010, 2015, 2017, and 2018. The dataset was produced by utilizing the multivariate statistical regression model to downscale the “SMAP Time-Expanded 0.25°×0.25° Land Surface Soil Moisture Dataset in the Qinghai-Tibet Plateau (SMsmapTE, V1)”. The auxiliary datasets participating in the multivariate statistical regression include GLASS Albedo/LAI/FVC, 1km all-weather surface temperature data in western China by Ji Zhou, and Lat/Lon information.
CHAI Linna ZHU Zhongli LIU Shaomin
Paleoecological and paleolimnological studies can provide a long-term perspective on changes in environmental and ecosystem processes. The sediments documented both direct and indirect impacts of climate change and human activities on aquatic ecosystems. The fossils of zooplankton remain and pigments in lake sediments can reflect community structure changes of primary producers and primary consumers. The authors reconstructed the zooplankton and algal community changes during the past 600 years using carapaces of A. tibetiana and resting eggs of D. tibetana and pigments from the sediments of Dagze Co, in the central Tibet Plateau. Using total nitrogen and total phosphorus reconstructed the nutrient changes. These results suggest that algal community structure and changes in production can be attributed to alterations in the zooplankton community, with important implications for Tibetan aquatic ecosystems.
LIANG Jie
This dataset contains measurements of L-band brightness temperature by an ELBARA-III microwave radiometer in horizontal and vertical polarization, profile soil moisture and soil temperature, turbulent heat fluxes, and meteorological data from the beginning of 2016 till August 2019, while the experiment is still continuing. Auxiliary vegetation and soil texture information collected in dedicated campaigns are also reported. This dataset can be used to validate the Soil Moisture and Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) satellite based observations and retrievals, verify radiative transfer model assumptions and validate land surface model and reanalysis outputs, retrieve soil properties, as well as to quantify land-atmosphere exchanges of energy, water and carbon and help to reduce discrepancies and uncertainties in current Earth System Models (ESM) parameterizations. ELBARA-III horizontal and vertical brightness temperature are computed from measured radiometer voltages and calibrated internal noise temperatures. The data is reliable, and its quality is evaluated by 1) Perform ‘histogram test’ on the voltage samples (raw-data) of the detector output at sampling frequency of 800 Hz. Statistics of the histogram test showed no non-Gaussian Radio Frequency Interference (RFI) were found when ELBAR-III was operated. 2) Check the voltages at the antenna ports measured during sky measurements. Results showed close values. 3) Check the instrument internal temperature, active cold source temperature and ambient temperature. 3) Analysis the angular behaviour of the processed brightness temperatures. -Temporal resolution: 30 minutes -Spatial resolution: incident angle of observation ranges from 40° to 70° in step of 5°. The area of footprint ranges between 3.31 m^2 and 43.64 m^2 -Accuracy of Measurement: Brightness temperature, 1 K; Soil moisture, 0.001 m^3 m^-3; Soil temperature, 0.1 °C -Unit: Brightness temperature, K; Soil moisture, m^3 m^-3; Soil temperature, °C/K
Bob Su WEN Jun
This dataset is derived from the paper: Ding, J., Wang, T., Piao, S., Smith, P., Zhang, G., Yan, Z., Ren, S., Liu, D., Wang, S., Chen, S., Dai, F., He, J., Li, Y., Liu, Y., Mao, J., Arain, A., Tian, H., Shi, X., Yang, Y., Zeng, N., & Zhao, L. (2019). The paleoclimatic footprint in the soil carbon stock of the Tibetan permafrost region. Nature Communications, 10(1), 4195. doi:10.1038/s41467-019-12214-5. This data contains R code and a new estimate of Tibetan soil carbon pool to 3 m depth, at a 0.1° spatial resolution. Previous assessments of the Tibetan soil carbon pools have relied on a collection of predictors based only on modern climate and remote sensing-based vegetation features. Here, researchers have merged modern climate and remote sensing-based methods common in previous estimates, with paleoclimate, landform and soil geochemical properties in multiple machine learning algorithms, to make a new estimate of the permafrost soil carbon pool to 3 m depth over the Tibetan Plateau, and find that the stock (38.9-34.2 Pg C) is triple that predicted by ecosystem models (11.5 ± 4.2 Pg C), which use pre-industrial climate to initialize the soil carbon pool. This study provides evidence that illustrates, for the first time, the bias caused by the lack of paleoclimate information in ecosystem models. The data contains the following fields: Longitude (°E) Latitude (°N) SOCD (0-30cm) (kg C m-2) SOCD (0-300cm) (kg C m-2) GridArea (k㎡) 3mCstcok (10^6 kg C)
DING Jinzhi WANG Tao
The Lunpola Basin distributed in the central part of the Banggong-Nujiang suture belt contains thick and continuous Cenozoic sediments, which have great potential for increasing our understanding of the tectonic uplift, paleoaltimetry, erosion, and depositional history of the Tibetan Plateau and climate environmental evolution. In this study, detailed investigations were carried on a Cenozoic continuous lacustrine sedimentary section, Lunpori (LPR), from the upper sequence of the central basin. Constrained by tie points of U-Pb zircon ages in the layers of tuffs and mammalian fossils of a rhinocerotid humerus, paleomagnetic methods yield ages of ~21.2 to 15 Ma for the section. In addition, we further select some parameters (e.g., magnetic susceptibility and saturation isothermal remanent magnetization (SIRM)) to establish a high-resolution magnetic record to explore the paleoclimate change. The magnetic susceptibility is measured by Kappabridge while the SIRM is measured by Mini spin and Impulse Magnetizer. The results suggest that magnetic susceptibility (χ) gradually increases during the period of semi-deep to the deep lake but shows a decrease in the stage of the shallow lake. Combining with the maximum values of χ often appearing in the layer of sandstones and no obvious correlation between the χ and SIRM, we preliminarily considered that the supply of detritus may dominate the variation of the χ. Lithofacies, pollen, and fossil records suggest that a relatively temperate, humid climate prevailed in the Lunpola Basin during the sedimentary period of the Dingqinghu Fm.
TAN Mengqi
Clay minerals are the weathering products of the parent rocks, which was formed by a series of chemical processes under a specific climate, and they are also widely-used indicators to reconstruct the history of the regional paleochemical weathering process. In this study, we present a detailed mineralogical investigation of 76 clay samples collected from the Lunpori section (21-15 Ma) in the Lunpola Basin by using X-ray diffraction. The results show that illite-smectite mixed layers, illite, chlorite, and kaolinite are the common clay mineral types in this section. The illite-smectite mixed layers and illite are the most abundant ones, which account for 80-90% of the total clay content; while the content of kaolinite and chlorite is relatively low, only occupying ~10-20% of the total clay minerals. The variations of clay mineral content are relatively stable in the Lunpori section, thus indicating that the intensity of regional chemical weathering was less variable during this period.
YE Chengcheng
