Daily Rainfall - State Level
This dataset has data of Normal rainfall, Actual rainfall, Percentage deviation from Normal Rainfall and Rainfall Storage collected daily state wise data from the Indian Meteorological Department ranging from 2009 to till date. This has the data from the year 2009 to 2024.
Data Dictionary
| Column | Type | Label | Description |
|---|---|---|---|
| id | int4 | index | |
| date | date | Date | |
| state_code | text | State Code | |
| state_name | text | State Name | |
| actual | numeric | Actual Rainfall | |
| rfs | numeric | Rainfall Storage | |
| normal | numeric | Normal Rainfall | |
| deviation | numeric | Percentage Deviation from Normal |
Additional Information
| Field | Value |
|---|---|
| Data last updated | June 24, 2024 |
| Metadata last updated | June 25, 2024 |
| Created | June 24, 2024 |
| Format | CSV |
| License | Open Data Commons Attribution License |
| Additional info | nan |
| Data extraction page | https://indiawris.gov.in/wris/#/rainfall |
| Data insights | Insights that can be drawn from this dataset for Himachal Pradesh: Rainfall Trends: Analysis of actual rainfall over the years can reveal patterns, seasonal variations, and long-term trends in rainfall in Himachal Pradesh. Rainfall Anomalies: By comparing actual rainfall with normal rainfall, we can identify years or periods with significant deviations, indicating droughts or unusually wet periods. Rainfall Storage Efficiency: Comparing rainfall storage data with actual rainfall can provide insights into the efficiency of water storage systems in Himachal Pradesh. Climate Change Impact: Long-term data analysis can help assess the impact of climate change on rainfall patterns in Himachal Pradesh. Agricultural Planning: Insights from rainfall patterns and deviations can aid in agricultural planning, helping farmers make informed decisions on crop selection and irrigation needs. Disaster Management: Understanding periods of excessive or deficient rainfall can help in disaster preparedness and management, such as planning for floods or droughts. Water Resource Management: The data can support effective water resource management, ensuring sustainable use of water resources in Himachal Pradesh. |
| Data last updated | 2024-03-20 00:00:00 |
| Data retreival date | 2024-03-20 00:00:00 |
| Datastore active | True |
| District no | 0 |
| Frequency | Daily |
| Gp no | 0 |
| Granularity | State |
| Has views | True |
| Id | a35222fe-76bc-44e4-92df-c89cd1cdbb47 |
| Idp ready | True |
| Methodology | Actual rainfall data used in this module are from different sources, i.e., IMD Grid (0.25 x 0.25-degree size), NRSC (0.05 X 0.05-degree size), APWRIMS (Station wise rainfall) & different state/ central agencies (Station wise rainfall). |
| No indicators | 4 |
| Package id | 4e75d3fb-2bec-4a0a-8144-ab73da1415cc |
| Position | 3 |
| Size | 348.5 KiB |
| Sku | wris-daily_rainfall_state-st-dl-him |
| State | active |
| States uts no | 1 |
| Tehsil no | 0 |
| Url type | upload |
| Years covered | 2009-2024 |
| Methodology | Actual rainfall data used in this module are from different sources, i.e., IMD Grid (0.25 x 0.25-degree size), NRSC (0.05 X 0.05-degree size), APWRIMS (Station wise rainfall) & different state/ central agencies (Station wise rainfall). |
| Similar Resources | |
| Granularity Level | State |
| Data Extraction Page | https://indiawris.gov.in/wris/#/rainfall |
| Data Retreival Date | 2024-03-20 00:00:00 |
| Data Last Updated | 2024-03-20 00:00:00 |
| Sku | wris-daily_rainfall_state-st-dl-him |
| Dataset Frequency | Daily |
| Years Covered | 2009-2024 |
| No of States/UT(s) | 1 |
| No of Districts | 0 |
| No of Tehsils/blocks | 0 |
| No of Gram Panchayats | 0 |
| Additional Information | nan |
| Number of Indicators | 4 |
| Insights from the dataset | Insights that can be drawn from this dataset for Himachal Pradesh: Rainfall Trends: Analysis of actual rainfall over the years can reveal patterns, seasonal variations, and long-term trends in rainfall in Himachal Pradesh. Rainfall Anomalies: By comparing actual rainfall with normal rainfall, we can identify years or periods with significant deviations, indicating droughts or unusually wet periods. Rainfall Storage Efficiency: Comparing rainfall storage data with actual rainfall can provide insights into the efficiency of water storage systems in Himachal Pradesh. Climate Change Impact: Long-term data analysis can help assess the impact of climate change on rainfall patterns in Himachal Pradesh. Agricultural Planning: Insights from rainfall patterns and deviations can aid in agricultural planning, helping farmers make informed decisions on crop selection and irrigation needs. Disaster Management: Understanding periods of excessive or deficient rainfall can help in disaster preparedness and management, such as planning for floods or droughts. Water Resource Management: The data can support effective water resource management, ensuring sustainable use of water resources in Himachal Pradesh. |
| IDP Ready | Yes |