Planette
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About
Planette uses AI and machine learning to deliver environmental forecasts with high accuracy, from 2 weeks to 5 years into the future. It provides forecasts for temperature, rainfall, and wind, among other variables. The platform is used across several industries, including agriculture, energy, and commodities. Planette's forecasts are based on 15 years of advances in Earth system prediction science and are enhanced by its generative AI foundation model, SURA™. The company was founded by internationally recognized scientists and claims its forecasts outperform those of NOAA and ECMWF.
Platform
Features
• global coverage
• ai-powered predictions
• temperature, rainfall, and hail risk forecasting
• two weeks to five years ahead forecasts
• 25-km grid resolution
• environmental forecasting
FAQs
How is it even possible to forecast at seasonal, quarterly, annual, or multi-annual time horizons?
Seasonal, quarterly, annual, and decadal weather prediction is a relatively new area of Earth system science, developed incrementally over the last 15 years. At these time horizons, the state of the ocean and its predictability enables Planette to predict conditions for key environmental variables over land masses.
How is this different from weather forecasting?
Weather forecasts generally allow for predictability of meteorology up to 14 days into the future, based on a set of initial meteorological conditions. Planette's precision forecasts, on the other hand, allow for predictability over much longer time horizons because we harness the predictability of the ocean. While we cannot tell you on what day an extreme weather event will happen in the future, we can tell you the probability of such an event for a given month, up to 60 months (5 years) in the future.
Why isn’t NOAA, NASA, or some other Federal Agency already doing this?
These federal agencies primarily focus on advancing scientific research, not providing actionable data for businesses. In fact, NOAA does provide coarse seasonal and annual outlooks for temperature and precipitation, but these forecasts don’t include extremes, and don’t extend beyond the continental U.S., making their usability limited for business purposes.
How do you know that Planette forecasts are accurate?
Planette's science team assesses forecast quality by evaluating how well our model predicts the past (backtests of the forecasting workflow, also known as "hindcasts"). Our hindcasts show that our model is 80% accurate over the globe (for 1-year forecasts of temperature), and over 90% accurate over many regions. We share these hindcasts to establish trust - so that potential clients themselves can evaluate whether our forecasts are sufficiently accurate for their business needs. We also publish regular forecast analyses on our blog, like this one for [Umi™ forecast model performance](https://www.planette.ai/post/umi-and-enso-a-performance-review-from-our-june-2024-release-to-today).
How does Planette achieve these amazing forecasting results?
AI is revolutionizing weather forecasting, and we know that it can also revolutionize seasonal, annual, and decadal forecasting. AI and ML have the power to find non-intuitive patterns where traditional methods fail. Planette uses patent-pending AI algorithms to improve and accelerate forecast production from physics-based models. This allows us to create incredibly accurate forecasts at a fraction of the computational cost of traditional physics-based modelling approaches.
How do I get access to the Planette web application?
Please [sign up online](https://www.planette.ai/sura-registration) or contact [sales@planette.ai](mailto:sales@planette.ai?subject=Re%3A%20Planette%20Web%20App%20Access) for a free trial and access to the Planette web application.
How do I create an organization account?
Please contact [sales@planette.ai](mailto:sales@planette.ai?subject=Re%3A%20Umi%E2%84%A2%20Organization%20Account) so we can create an organization account for you.
I want to access Umi™. How do I get it?
There are two ways to get access: You can contact [sales@planette.ai](mailto:sales@planette.ai?subject=Re%3A%20Umi%E2%84%A2%20Signup) or [sign up online](https://www.planette.ai/sign-up).
I have access to the web application as an administrator. How do I add more users?
Once the account has been created for your organization, the users in your organization can sign up directly through our signup page.
I tried to sign up directly on the web application signup page, but it says I need an organization account. How do I get one?
Please contact [sales@planette.ai](mailto:sales@planette.ai?subject=Re%3A%20Umi%E2%84%A2%20Organization%20Account) for a free trial or access to Planette web application. They can create an organization account for you.
I tried to sign up on the web application signup page, but it says the organization has reached the maximum limit of user licenses. What should I do?
This means you have reached the maximum number of users this license allows for your organization. Please contact [sales@planette.ai](mailto:sales@planette.ai?subject=Re%3A%20Add%20More%20Users) to increase the number of users for your license or contact [support@planette.ai](mailto:support@planette.ai?subject=Re%3A%20Swap%20User%20Licenses) to swap user licenses.
I'm having issues with the login. What should I do?
Please contact [support@planette.ai](mailto:support@planette.ai?subject=Re%3A%20Login%20Issues).
I'm having issues with Umi™. Who should I contact?
Please contact [support@planette.ai](mailto:support@planette.ai?subject=Re%3A%20Umi%E2%84%A2%20Issues).
I love my free trial! I want to upgrade my account. How do I upgrade it?
Click the 'Upgrade Now' button on the Planette web application or contact [sales@planette.ai](mailto:sales@planette.ai) with your specific request.
I'm not able to click on my subscriptions on the web application home page.
It means your free trial has ended, or you do not have access to those subscriptions. Please contact [sales@planette.ai](mailto:sales@planette.ai?subject=Re%3A%20Continue%20Subscriptions) to continue getting access.
Job Opportunities
Geospatial Data Engineer
Planette provides highly accurate environmental forecasts (temperature, rainfall, wind) from 2 weeks to 5 years out, using AI and physics-based models, serving agriculture, energy, and commodities sectors.
Experience Requirements:
1-2 years of experience in a data engineering role
Experience with spatiotemporal data analysis and modeling
Proficiency in using advanced data analysis libraries (such as xarray) for multidimensional arrays
Familiarity with geospatial data processing tools and libraries (e.g., GDAL, geopandas)
Proficient in data wrangling and analysis
Other Requirements:
Strong software development practices
Excellent communication skills
Excitement and enthusiasm to learn more things
Responsibilities:
Spearheading the development and optimization of geospatial data pipelines, workflows, and systems
Translating cutting-edge research into scalable solutions
Designing and building geospatial UI
Working with AWS technologies
Ensuring smooth integration between the frontend and backend
Show more details
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