ncdc logo title
ncdc_logo
A 10-year long dataset of land surface observations for the semi-humid alpine grassland in the Yellow River source region
  • 2023/11/22 16:48
  • 3534
  • 41
  • 1
English name
A 10-year long dataset of land surface observations for the semi-humid alpine grassland in the Yellow River source region
CSTR
CSTR:11738.11.NCDC.ZPWERS.DB4092.2023
DOI
10.12072/ncdc.zpwers.db4092.2023
Share type
Online
Category
Meteorology
source site
Zoige Plateau Wetland Ecosystem Research Station
contributors
Meng Xianhong , Zhang Yu , Shang Lunyu , WangShaoying , Li Zhaoguo , Lv Shihua , Ao Yinhuan , LUO Siqiong , Wen Lijuan , Zhao Lin , Chen Hao , Madi , Li Suo Lock , Shu Lele , An Yingying , Deng Xushan , Sheng Danrui , Niu Hanlin
Datasets description

    The source area of the Yellow River is an important water conservation region, with water conservation accounting for about 38% of the total runoff. The alpine grassland is the most important vegetation type in the Yellow River source area. In 2005, the Maqu Observatory was established in the Maqu grassland of the Yellow River source area to monitor climate and hydrological conditions and their evolution. This dataset consists of 10 years of observation data from Maqu Station, covering the period from 2010 to 2019, including meteorological elements, radiation, energy exchange, and soil water and heat transfer characteristics data.

Base information
collect time 2010/01/01  -  2019/12/31
collect place Hequ Horse Farm, Maqu County, Gansu Province, Maqu Alpine Grassland Observation Field, Ruoergai Plateau Wetland Ecosystem Research Station, Chinese Academy of Sciences
altitude 3434.0m - 3434.0m
data size 35.5 MiB
data format CSV
Coordinate system
Projection
Data thumbnail
Data source description

    This data set is the observation data of Maqu Alpine Grassland Observation Site of Zoige Plateau Wetland Ecosystem Research Station, Chinese Academy of Sciences. The main observation equipment includes vorticity related observation systems (CSAT3, Li-7500, EC150), meteorological element observation equipment (HMP45C, CNR1, PTB110, TE525MM, 52202) and soil observation equipment (CS109, CS616).

Data processing method

    The scanning frequency of the vorticity related observation system is 10Hz, and the raw data is processed using EddyPro 6.0 (Li Co) software with an average time of 30 minutes.

Data quality description

    The data quality is good.

Citations and annotations
In order to protect the rights and interests of the platform's scientific and technological resources, expand the services of the platform center, and enhance the application potential of scientific and technological resources, resource users are requested to mark and quote the research results (including published papers, treatises, data products, unpublished research reports, data products, etc.) generated by the use of resources in the following manner.

For the achievements published in English, please refer to the following specifications： The dataset is provided by National Cryosphere Desert Data Center. (http://www.ncdc.ac.cn).

Data reference
  1. Meng Xianhong, Zhang Yu, Shang Lunyu, WangShaoying, Li Zhaoguo, Lv Shihua, Ao Yinhuan, LUO Siqiong, Wen Lijuan, Zhao Lin, Chen Hao, Madi, Li Suo Lock, Shu Lele, An Yingying, Deng Xushan, Sheng Danrui, Niu Hanlin. A 10-year long dataset of land surface observations for the semi-humid alpine grassland in the Yellow River source region. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2023. https://cstr.cn/CSTR:11738.11.NCDC.ZPWERS.DB4092.2023.
  2. Meng Xianhong, Zhang Yu, Shang Lunyu, WangShaoying, Li Zhaoguo, Lv Shihua, Ao Yinhuan, LUO Siqiong, Wen Lijuan, Zhao Lin, Chen Hao, Madi, Li Suo Lock, Shu Lele, An Yingying, Deng Xushan, Sheng Danrui, Niu Hanlin. A 10-year long dataset of land surface observations for the semi-humid alpine grassland in the Yellow River source region. National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2023. https://www.doi.org/10.12072/ncdc.zpwers.db4092.2023.
license agreement
Creative Commons License   This work is licensed under a Creative Commons Attribution 4.0 International License.
# title file size
1 Flux.csv 6.5 MiB
2 Meteorology.csv 16.1 MiB
3 Soil.csv 12.9 MiB
4 _ncdc_meta_.json 7.4 KiB
loading
How to get the data 
east 108.15
west 108.15
south  33.86
north  33.86
Export metadata
Service information
contacts:
Min Yufang
phone:
0931-4967596
mailbox:
ncdc@lzb.ac.cn
Contact information
contributors:
Meng Xianhong , Zhang Yu , Shang Lunyu , WangShaoying , Li Zhaoguo , Lv Shihua , Ao Yinhuan , LUO Siqiong , Wen Lijuan , Zhao Lin , Chen Hao , Madi , Li Suo Lock , Shu Lele , An Yingying , Deng Xushan , Sheng Danrui , Niu Hanlin
author:
Shang Lunyu , WangShaoying
manager:
Shang Lunyu

©Copyright 2005-. Northwest Institute of Eco-Environment and Resources, CAS.

Donggang West Road 320, Lanzhou, Gansu, China (730000)