Worldwide Daily Weather Forecast Data | Location Specific Daily Forecast Values | By City, State, or Country
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Verified Data Provider| # | location |
date |
max |
min |
precip |
avg ws |
avg cc |
avg temp |
max rh |
min rh |
evap |
pot evap |
hrs of sunshine |
solar rad |
veg wet |
max st |
min st |
avg st |
||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx |
| 2 | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
| 3 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
| 4 | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
| 5 | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx |
| 6 | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
| 7 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx |
| 8 | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx |
| 9 | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
| 10 | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx |
| ... | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
location
|
String | Atlanta | |
| Float | 54.51453 | Latitude | |
| Float | -135.2456 | Longitude | |
|
date
|
String | 11/22/2022 | |
|
max
|
Float | 47.3 | |
|
min
|
Integer | 27 | |
|
precip
|
Integer | 0 | |
|
avg ws
|
Integer | 1 | |
|
avg cc
|
Integer | 70 | |
|
avg temp
|
Integer | 27 | |
|
max rh
|
Integer | 100 | |
|
min rh
|
Integer | 80 | |
|
evap
|
Integer | 0 | |
|
pot evap
|
Float | 0.12 | |
|
hrs of sunshine
|
Integer | 12 | |
|
solar rad
|
Integer | 3000 | |
|
veg wet
|
Float | 1.55 | |
|
max st
|
Float | 47.3 | |
|
min st
|
Integer | 27 | |
|
avg st
|
Integer | 28 |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
Forecast Location
|
String | Atlanta | |
|
Date
|
String | 01/01/2022 | |
| Float | 54.51453 | Latitude | |
| Float | -135.2456 | Longitude | |
|
Max Temperature
|
Float | 35.5 | |
|
Min Temperature
|
Float | 30.5 | |
|
Precipitation
|
Float | 1.22 | |
|
Avg Wind Speed
|
Float | 1.2 | |
|
Avg Cloud Cover
|
Integer | 70 | |
|
Avg Temperature
|
Float | 32.5 | |
|
Max RH
|
Integer | 85 | |
|
Min RH
|
Integer | 70 | |
|
Evapotranspiration
|
Float | 1.25 | |
|
Potential Evap
|
Float | 0.77 | |
|
Total Hours of Sunshine
|
Integer | 12 | |
|
Solar Rad
|
Float | 3510.25 | |
|
Veg Wetting
|
Float | 1.55 | |
|
Max Soil Temp
|
Float | 55.0 | |
|
Min Soil Temp
|
Float | 45.3 | |
|
Avg Soil Temp
|
Float | 50.0 |
Description
Geography
History
Volume
| 16 | Variables |
| 30,000 | forecast locations |
Pricing
| License | Starts at |
|---|---|
| One-off purchase |
$100 / purchase |
| Monthly License |
$1,500 / month |
| Yearly License |
$15,000 / year |
| Usage-based |
$100 / City |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is Worldwide Daily Weather Forecast Data Location Specific Daily Forecast Values By City, State, or Country?
AWIS Weather Services offers location specific Daily Forecast Variables including Temperature, Precipitation, Cloud Cover, Soil Temperature, Solar Radiation, Wind Speeds, Wind Directions, Evapotranspiration, and many other variables.
What is Worldwide Daily Weather Forecast Data Location Specific Daily Forecast Values By City, State, or Country used for?
This product has 5 key use cases. AWIS Weather Services recommends using the data for Weather Forecasting, Weather Observation, Climate Analytics, Climate Modeling, and Weather Analytics. Global businesses and organizations buy Weather Data from AWIS Weather Services to fuel their analytics and enrichment.
Who can use Worldwide Daily Weather Forecast Data Location Specific Daily Forecast Values By City, State, or Country?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Weather Data. Get in touch with AWIS Weather Services to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Worldwide Daily Weather Forecast Data Location Specific Daily Forecast Values By City, State, or Country go?
This Tabular Data has 10 days of historical coverage. It can be delivered on a hourly, daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does Worldwide Daily Weather Forecast Data Location Specific Daily Forecast Values By City, State, or Country cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. AWIS Weather Services is headquartered in United States of America.
How much does Worldwide Daily Weather Forecast Data Location Specific Daily Forecast Values By City, State, or Country cost?
Pricing for Worldwide Daily Weather Forecast Data Location Specific Daily Forecast Values By City, State, or Country starts at USD100 per purchase. Connect with AWIS Weather Services to get a quote and arrange custom pricing models based on your data requirements.
How can I get Worldwide Daily Weather Forecast Data Location Specific Daily Forecast Values By City, State, or Country?
Businesses can buy Weather Data from AWIS Weather Services and get the data via S3 Bucket, SFTP, and Email. Depending on your data requirements and subscription budget, AWIS Weather Services can deliver this product in .xml, .csv, .xls, and .txt format.
What is the data quality of Worldwide Daily Weather Forecast Data Location Specific Daily Forecast Values By City, State, or Country?
AWIS Weather Services has reported that this product has the following quality and accuracy assurances: 100% Quality Forecast Data. You can compare and assess the data quality of AWIS Weather Services using Datarade’s data marketplace. AWIS Weather Services appears on selected Datarade top lists ranking the best data providers, including Best +8 Historical Weather APIs to use in 2023, Best +6 Temperature APIs to use in 2023, and Who’s New on Datarade? June Edition.
What are similar products to Worldwide Daily Weather Forecast Data Location Specific Daily Forecast Values By City, State, or Country?
This Tabular Data has 3 related products. These alternatives include Worldwide Hourly Weather Forecast Data Location Specific Forecast Values By City, State, or Country, Weather Source: OnPoint Extreme Weather Forecast Service - Hurricanes, Wildfires and More, and CustomWeather API Severe Weather Data Global Severe Weather Advisories For 85,000 Weather Forecast Locations Storm Data. You can compare the best Weather Data providers and products via Datarade’s data marketplace and get the right data for your use case.
AWIS Weather Services
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