Introduction, download and use of global meteorological data CRU ts from 1901 to 2020

Data is introduced

CRU TS It is one of the most widely used climate data sets , By the National Centre for atmospheric science (NCAS) Make .CRU TS Provide global 1901 - 2020 Covering the land surface annually 0.5° Monthly data of resolution . This data set has 10 Set of data , Namely ： temperature （ Average 、 minimum value 、 Maximum value and temperature difference between day and night ）、 precipitation （ Total amount , Number of rainy days ）、 humidity （ Such as vapor pressure ）、 Frost days 、 Cloud cover and potential transpiration .

For the production method of the data, those who are interested can read the paper ,DOI：https://doi.org/10.1038/s41597-020-0453-3, Published in Nature’s Scientific Data On .

Data download

CRU TS Official website the data provided on the official website includes various versions , The data set has been updated to Version 4. Here's just how download 2020 year Precipitation data for .

Get into CRU TS Official website （https://crudata.uea.ac.uk/cru/data/hrg/）, And click the local copy

Click on Main gridded data Download data ：

Click on pre Download precipitation data ：

The meanings of each word in the web page interface are shown in the following table , If you need to download the temperature 、 cloudiness 、 Frost days, etc , Find the corresponding data download

Click on pre after , We choose the latest nc Data sets , This data set contains global 2011 year -2020 Annual precipitation data ：

Click to download , Slow and wait patiently . The data download is completed ：

Data usage

Through data download , We got 2011 year -2020 Global precipitation data for , A resolution of 0.5°.

Let's take precipitation data as an example , Use arcgis Make 2020 Annual precipitation map of Sichuan Province in .

Here are the steps

1. Load image 、 Crop image 、 Projection

adopt arcgis Self contained nc File open tool opens precipitation data

Load the precipitation data of Sichuan Province

Use the crop tool , Crop the data in the data frame around Sichuan Province , Because interpolation will be performed in the following steps , Cut the area near Sichuan Province , You can use... In the data export function Export data frame ：

Load the exported data into arcgis in ：

At this time, the precipitation data is not projected , Add projection

According to the central longitude of Sichuan Province , Change the projection of the database to WGS_1984_UTM_Zone_48N：

You can see the display effect after converting the projection

Use the grid export tool , Give precipitation data projection

At this point we open the grid data , It has the size of the image grid .

2. get 2020 Annual average precipitation

The dataset includes 2011 year -2020 year , total 10 Annual precipitation data ,120 Band .2020 The data band sequence of the year is 109-120：

Load these bands to arcgis in , Use the pixel statistics tool , Get the annual precipitation of each grid point ：

Get the annual precipitation based on each grid ：

3. Make grid dots

This data is based on grid precipitation , We like to get higher resolution data , You can use interpolation . Before using interpolation , Use the grid to point tool to get pixels ：

Because the interpolation will look at the values of the surrounding points , In fact, the range of grid data I choose here is smaller , Readers should try to extend the grid data to more grid points

4. Mesh interpolation

Select the grid resolution as needed , The setting here is 90m The resolution of the

The higher the resolution , The slower the speed , Wait patiently

At this time, I got Sichuan Province 2020 Annual precipitation distribution in

5. drawing

Drawing is based on your own data and according to your requirements ：

I only made a video of precipitation data production , You can see ：

CRU

You can also view more data , stay “ Geoscience remote sensing data collection ” On .