Download Rainfall Data 1901-2021 and Prepare Annual Rainfall Map

Summary

This tutorial video guides viewers through downloading high-resolution monthly netCDF rainfall data, processing it for a specific time period, and creating an annual rainfall map. It covers extracting and compositing data bands, converting raster to point data, performing interpolation, and designing a map layout. The video is aimed at remote sensing enthusiasts and environmental solution seekers, providing a step-by-step guide to analyze rainfall data effectively.

Takeaways

• 🌍 The video provides a tutorial on downloading high-resolution netCDF monthly rainfall data for a specific region.
• 📅 It covers the process for the period from 1901 to 2020, with the data version released on 17th March 2021.
• 💾 The tutorial includes instructions on how to process daily netCDF files and separate composite bands.
• 📊 It demonstrates how to calculate annual rainfall and convert raster to point data.
• 🗺️ The video guides viewers on how to perform interpolation to create an annual rainfall map layout according to the area of interest.
• 🖥️ It involves using ArcMap and its toolbox to create a netCDF raster layer from the downloaded data.
• 🔄 The process includes exporting data, renaming layers, and adjusting the data frame to match the projected coordinate system.
• 🔢 The tutorial shows how to composite bands from a 10-year data set to create a single annual rainfall map.
• 📏 It explains the use of cell statistics to aggregate monthly data into an annual total.
• 📊 The video covers the conversion of raster data to point data for further analysis.
• 🔄 The tutorial includes using interpolation methods such as Inverse Distance Weighting (IDW) for creating a more detailed rainfall map.
• 🎨 Finally, it guides on creating a map layout with appropriate symbols, legends, and other map elements for the final annual rainfall map of 2020.

Q & A

What is the main topic of the video?

The main topic of the video is demonstrating the process of downloading high-resolution netCDF monthly rainfall data, processing it, and creating an annual rainfall map layout according to the area of interest.

Which dataset does the video guide viewers to download?

The video guides viewers to download the 'high resolution gradient dataset' which covers the period from 1901 to 2020.

What software is used to process the netCDF files in the video?

ArcMap is the software used to process the netCDF files as demonstrated in the video.

How does the video instruct to extract and process the precipitation data?

The video instructs to extract and process the precipitation data by using the 'Make NetCDF Raster Layer' tool in ArcMap, selecting the precipitation variable, and setting the x and y dimensions.

What coordinate system does the video suggest changing to?

The video suggests changing the coordinate system to UTM, Northern Hemisphere, Zone 46N.

How does the video demonstrate the creation of a composite band for annual rainfall?

The video demonstrates the creation of a composite band for annual rainfall by selecting the last 12 bands from the dataset and using the 'Composite Bands' tool in ArcMap.

What tool is used to convert raster data to point data in the video?

The 'Raster to Point' tool is used to convert raster data to point data in the video.

What interpolation method is used in the video to create the annual rainfall map?

The video uses the Inverse Distance Weighting (IDW) method for interpolation to create the annual rainfall map.

How does the video guide creating a map layout for the annual rainfall map?

The video guides creating a map layout by inserting a title, changing symbol sizes, adding a legend, adjusting symbology, and customizing the north arrow and scale bar.

What are the steps to save the final annual rainfall map according to the video?

The steps to save the final annual rainfall map include editing properties, changing font sizes, level offsets, and intervals, and exporting the map in various formats with a selected resolution.

Outlines

00:00

🌍 Introduction to Downloading and Processing Rainfall Data

This paragraph introduces the video's focus on demonstrating how to download high-resolution netCDF monthly rainfall data and process it. The speaker guides viewers through accessing the CRU data, selecting the high-resolution gradient dataset, and downloading precipitation data for the year 2020. The process involves navigating through an interface, selecting data variables, and extracting the dataset. The viewer is then instructed to open ArcMap, use multi-dimensional tools to create a netCDF raster layer, and set parameters for dimensions and output. The tutorial also covers renaming and saving the data layer, adjusting the coordinate system, and saving the projected file.

05:00

📈 Preparing and Analyzing Annual Rainfall Data

The second paragraph delves into the preparation of an annual rainfall map for the year 2020 using a decade of data from 2011 to 2020. The speaker explains how to select specific bands from the dataset, use data management tools to restart and composite bands, and perform cell statistics to convert monthly data to annual. The process includes exporting data, renaming layers, and using conversion tools to transform raster data into point data. The paragraph concludes with instructions on performing interpolation using the Inverse Distance Weighting (IDW) method, setting output cell size, and defining the processing extent according to the study area.

10:02

🗺️ Creating an Annual Rainfall Map Layout

The final paragraph of the script details the steps to create a map layout for the annual rainfall data. It includes instructions on adding a title, adjusting symbol sizes, inserting a legend, and formatting labels. The speaker also covers how to customize the legend's appearance, including font size and item levels. Additionally, the paragraph explains how to add and edit a north arrow and scale bar, and how to adjust their properties for appearance and readability. The tutorial concludes with exporting the map in various formats and resolutions, with a focus on selecting an appropriate map resolution for the final output.

Keywords

💡Remote Sensing

Remote sensing is a non-contact method of detecting and measuring objects or phenomena from a distance, typically using satellite or aerial imagery. In the context of the video, remote sensing is crucial for obtaining high-resolution data on rainfall patterns. The script mentions downloading netCDF files, which are a common format for storing and distributing remote sensing data.

💡Environmental Solutions

Environmental solutions refer to strategies or technologies that address environmental challenges, such as climate change, pollution, or resource management. The video's channel is focused on providing such solutions, and in this particular video, it discusses methods for analyzing rainfall data, which can be an essential part of environmental planning and management.

💡High-Resolution Data

High-resolution data provides detailed information with a high level of precision, often necessary for accurate analysis and modeling. In the video, the presenter guides viewers on how to download high-resolution netCDF monthly rainfall data, which is critical for creating detailed rainfall maps.

💡NetCDF

NetCDF stands for Network Common Data Form, a file format used for storing and distributing scientific data, particularly in the fields of meteorology and environmental science. The video script includes instructions on how to download and process netCDF files, which are essential for the rainfall data analysis demonstrated.

💡Raster Data

Raster data is a type of data structure used in geographic information systems (GIS) that represents spatial data as a grid of cells, each with a value. The script describes how to convert raster data to point data, which is a common process in GIS for simplifying data for certain types of analysis.

💡Annual Rainfall

Annual rainfall refers to the total amount of precipitation that falls in a given year. The video aims to teach viewers how to calculate and map annual rainfall, which is a key indicator of climate patterns and can be used for a variety of environmental assessments.

💡Interpolation

Interpolation is a method used in spatial analysis to estimate values between known data points. In the video, the presenter uses interpolation to create a continuous rainfall map from point data, which is essential for visualizing and analyzing rainfall patterns across a region.

💡IDW (Inverse Distance Weighting)

Inverse Distance Weighting (IDW) is a type of interpolation technique that assigns weights to known data points based on their distance from the point being estimated. The video script mentions using IDW for interpolation, which is a common method for creating smooth surfaces from scattered data points.

💡Map Layout

A map layout refers to the arrangement of elements on a map, including the data representation, labels, legends, and other visual elements. The video script describes how to create a map layout for the annual rainfall map, which is important for effectively communicating the results of the analysis to others.

💡Coordinate Systems

Coordinate systems are used in GIS to define the location of features on the Earth's surface. The script mentions changing the coordinate system from WGS84 to UTM (Universal Transverse Mercator), which is a common practice to ensure accurate spatial analysis and mapping.

💡ArcMap

ArcMap is a geographic information system (GIS) software developed by Esri for viewing, editing, creating, and analyzing geospatial data. The video script provides instructions on using ArcMap to process and analyze rainfall data, highlighting its role as a key tool in environmental analysis.

Highlights

Introduction to downloading high-resolution netCDF monthly rainfall data for the whole globe.

Tutorial on processing daily netCDF files and separating composite bands.

Explanation on calculating annual rainfall and converting raster to point data.

Demonstration of performing interpolation to create an annual rainfall map layout.

Accessing CRU data and selecting the high-resolution gradient dataset.

Downloading precipitation data for the year 2020.

Extraction and opening of the downloaded dataset in ArcMap.

Creating a netCDF raster layer from the downloaded data.

Exporting data and renaming the output file to 'layer 2012 to 2020'.

Changing the data frame to the projected coordinate system UTM.

Preparation of the annual rainfall map for the year 2020 using a 10-year data set.

Composite bands selection and output raster creation for annual data.

Conversion of raster data to point data for further analysis.

Interpolation using IDW method for creating an interpolated rainfall map.

Creating a map layout with a title, legend, and symbology for the annual rainfall map.

Customization of the map layout including font size, legend items, and north arrow.

Exporting the final annual rainfall map in various formats with adjustable resolution.

Transcripts

hi everyone

welcome again to jazz remote sensing and

environmental solution channel

in this video i will show you how to

download high resolution net cdf monthly

rainfall data for the whole old

how to process daily net cdf file

separate and composite band how to

calculate annual rainfall convert raster

to point data and finally how to perform

interpolation and make annual rainfall

map layout according to the area of

interest hope you will enjoy and it will

be useful for you

right write cru data

and then click high resolution gradient

data set

after that you will get this interface

here uh this version released 17 mars

2021

and covers the period 1901 to 2020

here uh

there is a local copy click on this

and then uh main grid data click on this

data variables here you will

find a different data

set

cloud

precipitation and

so on click on precipitation as we need

uh precipitation data

so uh from here

click uh

2020 data set

our data has downloaded

now uh i'm extracting the data

here is the data set that i have

downloaded

open arcmap

and then go to toolbox and

then

multi-dimension tools and then

make net cdf

raster layer

from uh input

data

input the raster file that

you have downloaded

variable precipitation

x dimension y dimension output layer

band dimension

select time

and then click ok

uh i'm adding a study data share file

export data

then extend according to data frame

save

the output file

i am going to rename it

to

layer 2012

to 2020

then click save

yes

the previous one on it

gem to layer

properties

source

you can see here

the special reference

wgs924

so i'm going to

change the data frame

according to

the projected coordinate system utm

northern hemisphere

46 not utm

and then again go to

data and then special difference

according to data frame

special reference has been changed

i'm going to rename it at projected file

then click save

i'm going to delete the previous file

uh i want to prepare enrolled rainfall

map for 2020.

uh here we have a 10 years data that

starts from 2011 to 2020 so

10 uh into 12 uh equal uh on 20 bands

total

so i have to select last

12 bands from uh 1

0 9

1 0 9 to

120

trading 12 bands

then go to data management tools and

then restart

then raster processing

and composite bands

click on composite bands

add all of them here

and uh

output raster save your output roster in

a

folder of your pc

you can give it a name

and then click okay

i don't need this

this band so i'm getting

and then go to special analyze tools and

then local

then cell statistics

input raster or

and then

write

a name

for output resistor and all rainfall

2020

overall statistics

then here some

i mean monthly to annual

then click ok

it has done

and now conversion tools

from raster raster to point

input raster

add input roster

and then output raster

[Music]

select the folder

and give it a name

enable

annual rainfall

20

then click ok

point has been created

here is our study area

make it hollow

and

then go to special earnest tools and

then interpolation

you can do it uh using idw or clinging

so i'm using idw

input raster

add input raster

you can see here grid code

that value

so

select grid code as z value field

then output resistor

select

the folder where you want to save your

file

and

rename it

or give it a name

i'm going to give it a name enrolled in

for 20.

output

cell size

i am giving a 90 as output cell size

then environments

processing extent

it will be according to my study area

strategy

boundary and then raster analysis cell

size

90

and max data will be according to study

area

then click ok

the idw has been done i mean

interpretation has been done

according to the data

now uh

create map layout i think it is very

easy for you

first

give a title

from insert title annual rainfall 2020

then go to properties and then change

symbol

you can increase or decrease the symbol

size

then ok ok

and then insert

a legend

and on rainfall

then next

click on properties

then symbology

classes

i'm selecting 6 classes then format

labels

three

okay

you can change the color

annual rainfall

20

then go to properties general

for legend you can

increase the size doesn't

font size

and then items

level

i have selected 16.

you can edit as per your preference

and then

north arrow

you can select

scale bar

you can edit from properties

division in it kilometer

or miles

for from format you can increase the

size

great

levels only appearance then next

next

properties

click ok

now i can edit from properties again

from labels

you can change the font size

level offset

level orientation

then also intervals

and so many items you will find from

here

you can save the map as uh export map

in several formats

jpg png and so many uh

format resolution you can increase or

decrypt the regular resolution for final

output

i have selected

600 for map resolution

and then save

so here is our final output annual

rainfall 2020.