1. The total number is the unified number of the survey year, such as 17-001 (the first survey point in 2017), and the field number is the single field number. 2. Time: Beijing time at the time of measurement, such as: 13:25, August 1, 2017 (13:25, August 1, 2017). 3. Geographical location: the longitude and latitude of the measuring point, such as 29.6584101.0884 (29.6584 ° n, 101.0884 ° E), which is measured by Garmin 63sc GPS in the field. 4. Altitude: the absolute altitude of the measuring point, such as 4500m (4500m above sea level), is measured by Garmin 63sc GPS in the field with an accuracy of 1m. 5. Measured vegetation coverage (%): measured in the field with quadrat (1000 m * 1000 m). 6. Atmospheric pressure: measured by dph-103 intelligent digital temperature and humidity barometer in the field, such as 651.7kpa, accuracy: 0.1 kPa. 7. Air temperature: measured by dph-103 intelligent digital temperature, humidity and barometer in the field, such as 15.61 ℃, accuracy: 0.01 ℃. 8. Relative humidity: measured by dph-103 intelligent digital temperature, humidity and barometer in the field, such as 79.1%, accuracy: 0.1%. 9. Relative oxygen content: measured by td400-sh-o2 portable oxygen detector in the field, such as 20.16%, accuracy: 0.01%. Among them, the altitude of sampling points 17-001 to 17-065 is measured by Garmin Oregon 450 GPS with an accuracy of 1 m; The atmospheric pressure is measured by Casio prg-130gc barometer with an accuracy of 5 HPA; The relative oxygen content is measured by cy-12c digital oxygen meter, with a range of 0-50.0%, a resolution of 0.1% and an accuracy of ± 1%.
SHI Peijun
1) Data content (including elements and meanings): Gridded daily average air temperature of the Tibetan Plateau during 1980-2014 at 1-km resolution 2) Data source and processing method: Developed by integrating 8 types of reanalysis data (i.e., NNRP-2, 20CRV2c, JRA-55, ERA-Interim, MERRA2, CFSR, GLDAS and ERA5) downscaled with MODIS-estimated temperature lapse rates based on machine learing 3) Data quality description: According to leave-one-out validation based on stations, the average RMSE at China Adimistration Stations is about 1.7 ℃ and that at high-elevation field stations is about 1.9 ℃
ZHANG Fan, ZHANG Hongbo
The data set contains nearly 15 years of eddy covariance data from an alpine steppe ecosystem on the central Tibetan Plateau.The data was processed following standardized quality control methods to allow for comparability between the different years of our record and with other data sets. To ensure meaningful estimates of ecosystem atmosphere exchange, careful application of the following correction procedures and analyses was necessary: (1) Due to the remote location, continuous maintenance of the eddy covariance (EC) system was not always possible, so that cleaning and calibration of the sensors was performed irregularly. Furthermore, the high proportion of bare soil and high wind speeds led to accumulation of dirt in the measurement path of the infrared gas analyzer (IRGA). The installation of the sensor in such a challenging environment resulted in a considerable drift in CO2 and H2O gas density measurements. If not accounted for, this concentration bias may distort the estimation of the carbon uptake. We applied a modified drift correction procedure following Fratini et al. (2014) which, instead of a linear interpolation between calibration dates, uses the CO2 concentration measurements from the Mt. Waliguan atmospheric observatory as reference time series. (2) We applied rigorous quality filtering of the calculated fluxes to retain only fluxes which represent actual physical processes. (3) During the long measurement period, there were several buildings constructed in the near vicinity of the EC system. We investigated the influence of these obstacles on the turbulent flow regime to identify fluxes with uncertain land cover contribution and exclude them from subsequent computations. (4) We calculated the de-facto standard correction for instrument surface heating during cold conditions (hereafter called sensor self heating correction) following Burba et al. (2008) and a revision of the original method following Frank and Massman (2020). (5)Subsequently, we applied the traditional and widely used gap filling procedure following Reichstein et al. (2005) to provide a more complete overview of the annual net ecosystem CO2 exchange.(6) We estimated the flux uncertainty by calculating the random flux error (RE) following Finkelstein and Sims (2001) and by using the standard deviation of the fluxes used for gap filling(NEE_fsd) as a measure for spatial and temporal variation.
Felix Nieberding, MA Yaoming, Cristian Wille, Gerardo Fratini, Magnus Ole Asmussen, Yuyang Wang*, MA Weiqiang*, Torsten Sachs
The data include daily precipitation (Precip) amount and daily mean near-surface air temperature (T2M) over the Pan Third Pole region. The data is downscaled by using the Weather Research and Forecasting (WRF) model (3.7.1). The boundary and initial condition come from the fifth-generation global reanalysis product by the European Centre for Medium-Range Weather Forecasts (ECMWF), ERA5. The seasonal cycle and summer mean of precipitation over Tibet is well reproduced in comparison to the in situ observations.
OU Tinghai
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