[DMP 2024]: Met Data for Everyone #386

[Kushdapush]

Description

India Water Portal has [meteorological datasets](https://www.indiawaterportal.org/articles/background-meteorological-datasets) for 13 climate parameters for all districts of India from 1901 to 2002. Researchers in academia and practice often refer to these datasets. In this project, we visualize these datasets in simple charts that can be exported.

Parameters

Precipitation

Minimum temperature

Average temperature

Maximum temperature

Cloud cover

Vapour pressure

Wet day frequency

Diurnal temperature range

Ground frost frequency

Reference Crop Evapotranspiration

Potential Evapotranspiration

Goals & Mid-Point Milestone

Goals

• Mobile Responsive webpage template created
• Working Webpage that pulls data from DB
• All numeric values are calculated and displayed
• Basic Charts are plotted

Setup/Installation

No setup needed.
All CSVs are available here

Expected Outcome

1. Create a webpage to generate charts based on the datasets
2. Users will select State, District, time span and a parameter
3. Based on the selection, show tables and plot charts

Ex:
User selects Bihar State, selects District Purnia, selects 1945 to 1950.
User is shown

1. Monthly Mean values
2. Annual Mean values
3. Annual Totals
4. Trend Charts
5. User is shown a trend chart with months on X axis and Values on Y axis.

Acceptance Criteria

No response

Implementation Details

Any visualisation framework - D3, Processing, open to any.
Front End - NextJS
Backend - NodeJS
Database - MySQL

Mockups/Wireframes

Product Name
India Water Portal

Organisation Name

Arghyam

Domain

Water

Tech Skills Needed

D3.js

Mentor(s)

@sreechand

Category

Backend, Database, Frontend

[Kushdapush]

Weekly Goals

Week 1

• Create PRD
• Create User Persona
• Create User Flow Journey
• Research and document about existing open source projects that can be integrated to solve the issue

Week 2

• Create Low fidelity wireframes
• Define Frontend File and Folder Structure
• Setup the frontend directory and layout

[Kushdapush]

Week 3

• Create the Navbar
• Create the Met Data Info Section
• Create the Statistics and Visualizations info cards

Week 4

• Create the Statistics UI
• Create

Week 5

• Document and research on API
• Implementing the server side logic for the Statistics feature

Week 6

• Deployment and User testing