Introducing Mine Weather – Mine your own Forecasts

Why Mine Weather?

Companies across several industries heavily depend on weather forecast services to provide information for their internal planning exercises. Most of the time there is insufficient knowledge on the quality of the weather forecast and how it can be used to satisfy the specific forecast needs of companies. A judicious evaluation on the accuracy of specific weather forecasts is becoming imperative as different types of weather events affect the functioning of companies. Using the Mine-Weather framework companies can independently analyze the accuracy of weather forecasts and evaluate specific types of weather events that are most important to the client.

What is Mine Weather?

Mine-Weather is an analytical database and visualization system designed to allow companies to probe the accuracy of the weather forecasts they use to plan their activities and preparedness in case of weather calamities, like storm conditions. This tool captures and stores both weather forecast data and observational data at hourly interval from all stations within a given geographical area. Data can be stored for several years or existing historical data can be uploaded, allowing analysis of different types of weather events over a long period of time.

Forecast Evaluation with Mine Weather

Mine-Weather aims at providing analytical data zone for evaluation and verification of weather forecasts for event types most important to a specific company. Companies may want to know the accuracy of weather forecasts for general/specific events ranging for a definite period in a scale of 1-10 days. Using Mine-Weather clients can segment out the specific time periods and weather variables of interest that can further be probed for accuracy.
Companies will be able to make sense of specific usage of forecast data for various applications that are relevant to them. Analysts can probe all dimensions of the weather data and further drill down the score to arrive at an accurate results. Clients can analyze results using the analytical dashboard provided in Mine-Weather. Apart from the analytical dashboard, Mine-Weather also comes with a web interface for projecting complex weather variables.

Functional Architecture of Mine-Weather

Mine-Weather sits on a private Microsoft Azure cloud based architecture. It’s one of the first cloud based web application leveraging the power of Mine-Weather to analysts across companies. Most important of all is you only pay for the service being used. Architectural flow diagram of Mine-Weather is as show below:

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The Mine-Weather system architecture mainly consists of three segments:

  • Capturing Input Data – Raw data from various forecast sources are automatically captured into the Mine-Weather system via an API, web service, secure ftp site, and the like. Automated procedures are also built-in to load historical data into the database.
  • Data Layer – Standardization and normalization is applied to the input raw data to convert to a uniform format and stored in database for retrieval at a later stage. Scoring engine applies robust scoring algorithms to transform the raw weather data to accurate scores by comparing forecasts and actual weather data.
  • Presentation Layer – Summarized data in the database are viewed using visualizing tool such as Tableau. Many types of trends and reports are derived at by using the analytical dashboard. Analytical dashboards facilitate further examining of data at the most granular level to arrive at precise weather parameter scores.

Setting-up Mine-Weather for the Client’s

Macrosoft ingeniously implements automated processes for capturing weather variables provided by the client’s weather forecast services. All observational weather data is captured from the client’s service area, mostly on an hourly basis and linked to the Mine-Weather system for further evaluation. Over a course of time clients can choose the forecast parameters of particular interest and have access to a host of historic data for the entire period.

Setting up Mine-Weather for a new client is dependent on a number of factors. Download our WhitePaper to read more on Mine-Weather’s features and benefits to clients.

Mine-Weather comes with a set of standard scoring models which the client can start with. Depending on the client’s requirements for analyzing specific forecasts, newer models may be developed with specific scoring formulas. Macrosoft’s Mine-Weather ensures that the forecast data provided by the clients are neither over-interpreted nor over-extended to ascertain accurate and meaningful scores

Download Whitepaper

About the Author

Dr. Ronald Mueller

Ron is CEO and Founder of Macrosoft, Inc.. Ron heads up all company strategic activities, and directs day-to-day work of the Leadership Team at Macrosoft. Ron is also Macrosoft’s Chief Scientist, defining and structuring Macrosoft’s path forward on new technologies and products, such as Cloud; Big Data; and AI. Ron has a Ph.D. in Theoretical Physics from New York University, and worked in physics for over a decade at Yale University, The Fusion Energy Institute in Princeton, NJ, and at Argonne National Laboratory. Ron also worked at Bell Laboratories in Murray Hill, NJ., where he managed a group on Big Data, including very early work on neural networks. Ron has a career-long passion in ultra-large-scale data processing and analysis including: predictive analytics; data mining, machine learning and neural networks.

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