Analysis of annual average temperature based on TMP data in cru

Here is mainly to introduce CRU How to use data in , I mainly used tmp（ Temperature data ）, Analyze .

1.CRU website

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° The resolution of the Monthly data of . 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 .

First go to the page , Download data ：

Here is the download 4.06 Version of the data ：

List explanation ：

The data is probably 200MB about , It will be downloaded soon ：

2.ARCGIS Handle CRU data

open arcgis, And import the area you want to study , I use the South China region , Central South Region , Southwest China as the research object .

1. Will download okay tmp Data import to gis in ：
   
   
   

2. Crop the image of the study area , Select the current data frame ：
   

3. Because the temperature data has no projection , So here you need to add a projection coordinate system ：
   
   Select according to the location of the study area UTM 48N More appropriate ：
   
   

4. Export the temperature data after projection ：
   
   View file properties , It is found that the temperature data has a corresponding projection coordinate system ：
   

5. obtain 2020 year Annual average temperature
   2020 The data of the year are mainly from the wave band 109 To band 120, So put this 12 Bands are extracted and analyzed ：
   
   
   
   A change is needed here , Change the overlay statistics to MEAN！
   Finally, the annual average temperature chart is obtained ：
   

6. Next, you need to interpolate the temperature graph
   First , Convert raster data to point data （fishnet）, In order to carry out the following interpolation calculation
   Interpolate the point graph , The commonly used IDW Method ：
   Finally, the temperature diagram is generated , The effect is quite good ：
   
   Here I made a complete picture ：
   

3. Use panoply View the data

Use NASA The software provided is also convenient ：

This is a 2020 year 3 month 16 Daily temperature chart , You can also change the date yourself , View the image of the date you want , And before ARCGIS Compare the temperature chart , Both have good effects .