Temperature
The dataset provides the summary of monthly surface normal temperatures in various stations across the country from 1969 to 2020. The stations are mapped to their respective district and states along with the LGD State and District Codes.
Data Dictionary
- ID
- id
- Type
- int4
- Label
- index
- ID
- date
- Type
- date
- Label
- Date
- ID
- station_name
- Type
- text
- Label
- Name of the Station
- ID
- station_code
- Type
- text
- Label
- Station Code
- ID
- parameter
- Type
- text
- Label
- Evaluation Parameter
- ID
- average_temperature
- Type
- numeric
- Label
- Average Value
- ID
- standard_deviation
- Type
- numeric
- Label
- Standard Deviation Value
- ID
- highest_temperature
- Type
- numeric
- Label
- Highest Value
- ID
- lowest_temperature
- Type
- numeric
- Label
- Lowest Value
- ID
- state_name
- Type
- text
- Label
- Name of the State
- ID
- district_name
- Type
- text
- Label
- Name of the District
- ID
- state_code
- Type
- text
- Label
- LGD State Code
- ID
- district_code
- Type
- text
- Label
- LGD District Code
Additional Information
Field | Value |
---|---|
Data last updated | September 12, 2024 |
Metadata last updated | September 12, 2024 |
Created | September 12, 2024 |
Format | CSV |
License | Open Data Commons Attribution License |
Additional info | nan |
Data extraction page | https://cdsp.imdpune.gov.in/home_riturang_sn.php#snormals, later |
Data insights | Monthly Surface Temperature for various stations across the country provides estimates and other statistical measures about the maximum and minimum temperatures recorded at a particular station. These stations are mapped to their respective districts and states, providing an overall view. This information can be used to predict and understand temperature trends, month-on-month basis as well as on a yearly basis. The availability of data from 1969 to 2020 allows the user to analyze temperature patterns and anomalies in temperatures recorded to map further predictions. |
Data last updated | 01-12-2020 |
Data retreival date | 08-08-2023 |
Datastore active | True |
District no | 174 |
Frequency | Monthly |
Gp no | 0 |
Granularity | Point |
Has views | True |
Id | 9d4190cc-7528-4086-b44e-b6208e02cde0 |
Idp ready | False |
Methodology | The minimum and maximum temperatures for various stations are recorded and consolidated on the Climate Data Service Portal by the Indian Meteorlogical Department. |
Mimetype | text/csv |
No indicators | 4 |
Package id | 25664936-d131-4b07-845e-4bd2c0d794aa |
Position | 3 |
Size | 29.3 MiB |
Sku | moes-imd_cdsp_temperature-pl-mn-aaa |
State | active |
States uts no | 33 |
Tags | ['Minimum Temperature', 'Maximum Temperature', 'Temperature Trends\n Weather'] |
Tehsil no | 0 |
Url type | upload |
Village no | 0 |
Years covered | 1969 - 2020 |
Methodology | The minimum and maximum temperatures for various stations are recorded and consolidated on the Climate Data Service Portal by the Indian Meteorlogical Department. |
Indicators | |
Similar Resources | |
Granularity Level | Point |
Data Extraction Page | https://cdsp.imdpune.gov.in/home_riturang_sn.php#snormals, later |
Data Retreival Date | 08-08-2023 |
Data Last Updated | 01-12-2020 |
Sku | moes-imd_cdsp_temperature-pl-mn-aaa |
Dataset Frequency | Monthly |
Years Covered | 1969 - 2020 |
No of States/UT(s) | 33 |
No of Districts | 174 |
No of Tehsils/blocks | 0 |
No of Gram Panchayats | 0 |
Additional Information | nan |
Number of Indicators | 4 |
Insights from the dataset | Monthly Surface Temperature for various stations across the country provides estimates and other statistical measures about the maximum and minimum temperatures recorded at a particular station. These stations are mapped to their respective districts and states, providing an overall view. This information can be used to predict and understand temperature trends, month-on-month basis as well as on a yearly basis. The availability of data from 1969 to 2020 allows the user to analyze temperature patterns and anomalies in temperatures recorded to map further predictions. |
IDP Ready | No |
LGD Mapping |