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.


Data file naming and use method

All meteorological elements are stored in one text, which are: average local pressure (v10004), extreme maximum local pressure (v10201), extreme maximum local pressure day (v10201), extreme maximum local pressure month (v10201), extreme minimum local pressure day (v10202), extreme minimum local pressure day (v10202), extreme minimum local pressure day (v10202), level Mean temperature (v12001), extreme maximum temperature (v12011), extreme maximum temperature (v12011), extreme maximum temperature (v12011), extreme minimum temperature (v12012), extreme minimum temperature (v12012), extreme minimum temperature (v12012), extreme minimum temperature (v12012), average temperature anomaly (v12201), average maximum temperature (v12211), average minimum temperature (v12212), average relative humidity Degree (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), precipitation anomaly percentage (v13012), maximum daily precipitation (v13052), maximum daily precipitation occurrence day (v13052 001), maximum daily precipitation occurrence month (v13052 002), average wind speed (v11 002), maximum wind speed (v11041), maximum wind speed (v11042), maximum wind speed wind direction (v11043), maximum wind speed occurrence day (v11043), maximum wind speed occurrence month (v11043), maximum wind speed wind direction (v11212), maximum wind speed occurrence day (v11212), maximum wind speed occurrence month (v11212), sunshine hours (v14032), sunshine percentage (v14033).


Required Data Citation View Data Cite Help About Data Citation
Cite as:

XUE Xian, DU Heqiang. Standard weather station annual data of the Yellow River’s Upstream (1952-2011). A Big Earth Data Platform for Three Poles, 2015. doi: 10.11888/Meteoro.tpdc.270584. (Download the reference: RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


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(No:2011CB403306)

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
East: 112.00 West: 95.00
South: 32.00 North: 42.00
Detail
  • Temporal resolution: Yearly
  • File size: 0.78 MB
  • Browse count: 3,979 Times
  • Apply count: 3 Times
  • Share mode: offline
  • Temporal coverage: 1952-01-01 To 2011-12-31
  • Updated time:
Contact Information
: XUE Xian   DU Heqiang  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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