Meteorological monitoring data of Kara-Batkak glacier in the Western Tianshan Mountains of Kyrgyzstan(2020)

Kara batkak glacier weather station in Western Tianshan Mountains of Kyrgyzstan (42 ° 9'46 ″ n, 78 ° 16'21 ″ e, 3280m). The observational data include hourly meteorological elements (hourly rainfall (mm), instantaneous wind direction (°), instantaneous wind speed (M / s), 2-minute wind direction (°), 2-minute wind speed (M / s), 10 minute wind direction (°), 10 minute wind speed (M / s), maximum wind direction (°), maximum wind speed (M / s), maximum wind speed time, maximum wind direction (°), maximum wind speed (M / s), maximum wind speed time, maximum instantaneous wind speed within minutes) Direction (°), maximum instantaneous wind speed in minutes (M / s), air pressure (HPA), maximum air pressure (HPA), time of maximum air pressure, time of minimum air pressure (HPA), time of minimum air pressure. Meteorological observation elements, after accumulation and statistics, are processed into climate data to provide important data for planning, design and research of agriculture, forestry, industry, transportation, military, hydrology, medical and health, environmental protection and other departments.

0 2021-02-02

Meteorological data of surface environment and observation network in China's cold region (2014-2017)

Based on the long-term observation data of each field station in the alpine network and overseas stations in the pan third polar region, a series of data sets of meteorological, hydrological and ecological elements in the pan third polar region are established; the inversion of data products such as meteorological elements, lake water quantity and quality, aboveground vegetation biomass, glacial and frozen soil changes are completed through enhanced observation and sample site verification in key regions; based on the IOT Network technology, the development and establishment of multi station network meteorological, hydrological, ecological data management platform, to achieve real-time access to network data and remote control and sharing. The data includes the daily meteorological observation data sets (air temperature, precipitation, wind direction and speed, relative humidity, air pressure, radiation and evaporation) of the Qinghai Tibet Plateau in 2014-2017 from 17 stations of China Alpine network. The data of the three river sources are missing.

0 2020-07-21

Meteorological data of the integrated observation and research station of Ngari for desert environment (2009-2017)

The data set includes meteorological data from the Ngari Desert Observation and Research Station from 2009 to 2017. It includes the following basic meteorological parameters: temperature (1.5 m from the ground, once every half hour, unit: Celsius), relative humidity (1.5 m from the ground, once every half hour, unit: %), wind speed (1.5 m from the ground, once every half hour, unit: m/s), wind direction (1.5 m from the ground, once every half hour, unit: degrees), atmospheric pressure (1.5 m from the ground, once every half hour, unit: hPa), precipitation (once every 24 hours, unit: mm), water vapour pressure (unit: kPa), evaporation (unit: mm), downward shortwave radiation (unit: W/m2), upward shortwave radiation (unit: W/m2), downward longwave radiation (unit: W/m2), upward longwave radiation (unit: W/m2), net radiation (unit: W/m2), surface albedo (unit: %). The temporal resolution of the data is one day. The data were directly downloaded from the Ngari automatic weather station. The precipitation data represent daily precipitation measured by the automatic rain and snow gauge and corrected based on manual observations. The other observation data are the daily mean value of the measurements taken every half hour. Instrument models of different observations: temperature and humidity: HMP45C air temperature and humidity probe; precipitation: T200-B rain and snow gauge sensor; wind speed and direction: Vaisala 05013 wind speed and direction sensor; net radiation: Kipp Zonen NR01 net radiation sensor; atmospheric pressure: Vaisala PTB210 atmospheric pressure sensor; collector model: CR 1000; acquisition interval: 30 minutes. The data table is processed and quality controlled by a particular person based on observation records. Observations and data acquisition are carried out in strict accordance with the instrument operating specifications, and some data with obvious errors are removed when processing the data table.

0 2020-06-24

Daily standard weather station dataset in Sanjiangyuan region (1981-2015)

The files in this data set are named as: 1. Pressure of the station: SURF_CLI_CHN_MUL_DAY-PRS-10004-SITEID.TXT 2. Temperature: SURF_CLI_CHN_MUL_DAY-TEM-12001-SITEID.TXT 3. Relative humidity: SURF_CLI_CHN_MUL_DAY-RHU-13003-SITEID.TXT 4. Precipitation: SURF_CLI_CHN_MUL_DAY-PRE-13011-SITEID.TXT 5. Evaporation: SURF_CLI_CHN_MUL_DAY-EVP-13240-SITEID.TXT 6. Wind direction and wind speed: SURF_CLI_CHN_MUL_DAY-WIN-11002-SITEID.TXT 7. Sunshine: SURF_CLI_CHN_MUL_DAY-SSD-14032-SITEID.TXT 8.0cm Ground Temperature: SURF_CLI_CHN_MUL_DAY-GST-12030-0cm-SITEID.TXT Detailed format descriptions for each data file are given in the SURF_CLI_CHN_MUL_DAY_FORMAT.doc file. The meteorological site information contained in this data set is as follows: Site_id lat lon ELV name_En 52754 37.33 100.13 8301.50 Gangcha 52833 36.92 98.48 7950.00 Uran 52836 36.30 98.10 3191.10 Dulan 52856 36.27 100.62 2835.00 Chabcha 52866 36.72 101.75 2295.20 Xining 52868 36.03 101.43 2237.10 Guizhou 52908 35.22 93.08 4612.20 Wu Daoliang 52943 35.58 99.98 3323.20 Xinghai 52955 35.58 100.75 8120.00 Guinan 52974 35.52 102.02 2491.40 Tongren 56004 34.22 92.43 4533.10 Toto River 56018 32.90 95.30 4066.40 Zaduo 56021 34.13 95.78 4175.00 Qumalai 56029 33.02 97.02 3681.20 Yushu 56033 34.92 98.22 4272.30 Maddo 56034 33.80 97.13 4415.40 Qingshui River 56038 32.98 98 98.10 9200.00 Shiqu 56 043 34.47 100.25 3719.00 Golo 56 046 33.75 99.65 3967.50 Dari 56065 34.73 101.60 8500.00 Henan 56 067 33.43 101.48 3628.50 Jiuzhi 56074 34.00 102.08 3471.40 Marqu 56080 35.00 102.90 2910.00 Hezuo 56106 31.88 93.78 4022.80 Suoxian 56116 31.42 95.60 3873.10 Ding Qing 56125 32.20 96.48 3643.70 Xiangqian 56128. 31.22. 96.60. 3810.00 Leiwuqi 56 137 31.15 97.17 3306.00 Changdu 56151 32.93 100.75 8530.00 Banma 56152 32.28 100.33 8893.90 Saida

0 2020-06-23

Dataset of meteorological elements of Nagqu Station of Plateau Climate and Environment (2014-2017)

This dataset is derived from the Nagqu Station of Plateau Climate and Environment (31.37N, 91.90E, 4509 a.s.l), Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences. The ground is flat, with open surrounding terrain. An uneven growth of alpine steppe, with a height of 3–20 cm. The observation time of this dataset is from January 1, 2014 to December 31, 2017. The observation elements primarily included the wind speed, air temperature, air relative humidity, air pressure, downward shortwave radiation, precipitation, evaporation, latent heat flux and CO2 flux. The precipitation , evaporation and CO2 flux data are daily cumulative values, and the other variables are daily average values. The observed data are generally continuous, but some data are missing due to power supply failure, and the missing data in this dataset are marked as NAN.

0 2020-06-23

Daily meteorological observation datasets of the Heihe River Basin (1951-2012)

Based on the "China Meteorological science data sharing service network", the daily data sets of five meteorological observation stations since 1951-2012 have been sorted out. It is mainly the daily data set of five base ground meteorological observation stations and automatic stations since 1951, including daily average pressure, maximum pressure, minimum pressure, average temperature, maximum temperature, minimum temperature, average relative humidity, minimum relative humidity, average wind speed, maximum wind speed and direction, maximum wind speed and direction Sunshine hours and precipitation.

0 2020-06-05

Standard weather station annual data of the Yellow River’s Upstream (1952-2011)

Ⅰ. Overview This dataset contains annual meteorological data from the upper Yellow River and its surroundings from 1952 to 2011. The standard station data includes 38 elements: average station pressure, extreme maximum station pressure, date of extreme maximum station pressure, month of extreme maximum station pressure, month of extreme minimum station pressure, date of extreme minimum station pressure, day, extreme Lowest station pressure month, average temperature, extreme maximum temperature, extreme maximum temperature day, extreme maximum temperature month, extreme minimum temperature, extreme minimum temperature day, extreme minimum temperature month, average temperature anomaly, average maximum temperature , Average minimum temperature, average relative humidity, minimum relative humidity, minimum relative humidity occurrence day, minimum relative humidity occurrence month, precipitation, daily precipitation ≥0.1mm days, percentage of precipitation anomaly, maximum daily precipitation, maximum daily precipitation Appearance day, month of maximum daily precipitation, average wind speed, maximum wind speed, maximum wind speed, wind direction of maximum wind speed, day of maximum wind speed, month of maximum wind speed, direction of maximum wind speed, day of maximum wind speed The month of maximum wind speed, the number of hours of sunshine, and the percentage of sunshine. Ⅱ. Data processing description The data is stored as integers, the temperature unit is (0.1 ° C) value, the precipitation unit is (0.1 mm), and it is stored as an ASCII text file. Ⅲ. Data content description Standard station data, all meteorological elements are stored in one text, respectively: average own station pressure (V10004), extreme highest station pressure (V10201), extreme highest station pressure (V10201_001), extreme highest station pressure appears Month (V10201_002), Extreme Lowest Station Pressure (V10202), Extreme Lowest Station Pressure (V10202_001), Extreme Lowest Station Pressure (V10202_002), Average Temperature (V12001), Extreme Maximum Temperature (V12011), Extreme Maximum Temperature appearance day (V12011_101), extreme maximum temperature appearance month (V12011_102), extreme minimum temperature (V12012), extreme minimum temperature appearance day (V12012_101), extreme minimum temperature appearance month (V12012_102), average temperature anomaly (V12201), average Highest temperature (V12211), average minimum temperature (V12212), average relative humidity (V13003), minimum relative humidity (V13007), minimum relative humidity occurrence day (V13007_001), minimum relative humidity occurrence month (V13007_002), precipitation (V13011) , Daily precipitation ≥ 0.1mm days (V13011_000), percentage of precipitation anomaly (V13012), maximum daily precipitation (V13052), day of maximum daily precipitation (V13052_00 1), the month when the maximum daily precipitation occurs (V13052_002), the average wind speed (V11002), the maximum wind speed (V11041), the maximum wind speed (V11042), the direction of the maximum wind speed (V11043), and the day when the maximum wind speed appears (V11043_001) , The month of maximum wind speed (V11043_002), the direction of maximum wind speed (V11212), the day of maximum wind speed (V11212_001), the month of maximum wind speed (V11212_002), the number of hours of sunshine (V14032), and the percentage of sunshine (V14033). Ⅳ. Data usage description In terms of resources and environment, meteorological data is used to simulate the regional climate change and runoff, sediment, water and soil loss and vegetation change in the basin, and it is also a necessary input condition for remote sensing inversion.

0 2020-06-05

Standard weather station monthly data of the Yellow River’s Upstream (1952-2011)

I. Overview This dataset contains monthly meteorological data for the upper Yellow River and its surroundings from 1952 to 2011. The standard station data includes 30 elements: average station pressure, extreme maximum station pressure, date of extreme maximum station pressure, extreme minimum station pressure, date of extreme minimum station pressure, average temperature, and extreme maximum temperature. , Extreme high temperature appearance day, extreme minimum temperature, extreme minimum temperature appearance day, average temperature anomaly, average maximum temperature, average minimum temperature, average relative humidity, minimum relative humidity, minimum relative humidity occurrence date, precipitation, daily precipitation > = 0.1mm days, maximum daily precipitation, maximum daily precipitation occurrence day, percentage of precipitation anomaly, average wind speed, maximum wind speed, day of maximum wind speed, maximum wind speed, wind direction of maximum wind speed, wind direction of maximum wind speed , The day of maximum wind speed, the hours of sunshine, and the percentage of sunshine. Ⅱ. Data processing description The data is stored as integers, the temperature unit is (0.1 ° C) value, the precipitation unit is (0.1 mm), and it is stored as an ASCII text file. Ⅲ. Data content description Standard station data, all meteorological elements are stored in one text, each element is: average own station pressure (V10004), extreme highest station pressure (V10201), extreme highest station pressure (V10201_001), extreme lowest station Barometric pressure (V10202), the day when the extreme minimum atmospheric pressure appeared (V10202_002), the average temperature (V12001), the extreme maximum temperature (V12011), the extreme maximum temperature (V12011_001), the extreme minimum temperature (V12012), the extreme minimum temperature (V12012_002), average temperature anomaly (V12201), average maximum temperature (V12211), average minimum temperature (V12212), average relative humidity (V13003), minimum relative humidity (V13007), minimum relative humidity occurrence date (V13007_001), precipitation Amount (V13011), daily precipitation> = 0.1mm days (V13011_000), maximum daily precipitation (V13052), maximum daily precipitation (V13052_001), percentage of precipitation anomaly (V13212), average wind speed (V11002), polar High wind speed (V11041), the day when the maximum wind speed appears (V11041_001), the maximum wind speed (V11042), the wind direction of the maximum wind speed (V11043), the wind direction of the maximum wind speed (V11212), the maximum wind speed Today (V11212_001), hours of sunshine (V14032), percentage of sunshine (V14033). Ⅳ. Data usage description In terms of resources and environment, meteorological data is used to simulate the regional climate change and runoff, sediment, water and soil loss and vegetation change in the basin, and it is also a necessary input condition for remote sensing inversion.

0 2020-06-05

Standard weather station diurnal data of the Yellow River’s Upstream (1952-2011)

Ⅰ. Overview This dataset contains daily meteorological data for the upper Yellow River and its surroundings from 1952 to 2011. Standard station data includes 15 elements: average pressure, maximum pressure, minimum pressure, average temperature, maximum temperature, minimum temperature, average relative humidity, minimum relative humidity, precipitation, average wind speed, maximum wind speed, maximum wind speed and direction, Maximum wind speed, maximum wind speed and direction and sunshine hours. Ⅱ. Data processing description The data is stored as integers, the temperature unit is (0.1 ° C) value, the precipitation unit is (0.1 mm), and it is stored as an ASCII text file. Ⅲ. Data content description Standard station data. All meteorological elements are stored in one text. V0100 indicates the station number, v04001 indicates the year, v04002 indicates the month, v04003 indicates the day, v10004 indicates the average pressure, v10201 indicates the maximum pressure, v10202 indicates the minimum pressure, and v12001 indicates the average temperature. v12052 indicates the highest temperature, v12053 indicates the lowest temperature, v13003 indicates the average relative humidity, v13007 indicates the minimum relative humidity, v13201 indicates the precipitation, v11002 indicates the average wind speed, v11042 maximum wind speed, v11212 indicates the maximum wind speed and direction, v11041 indicates the maximum wind speed, and v11043 indicates Extreme wind speed and direction, v14032 represents sunshine hours. Ⅳ. Data usage description In terms of resources and environment, meteorological data is used to simulate the regional climate change and runoff, sediment, water and soil loss and vegetation change in the basin, and it is also a necessary input condition for remote sensing inversion.

0 2020-06-05