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1
Intro
2
Agenda
3
Types of data
4
Numerical weather prediction models
5
Outcome
6
MeteoGroup forecasting system
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Next generation forecasting system
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Iteration 1
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Iteration 2
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Baseline model engineering
11
Scaling with Apache Airflow
12
Apache Airflow DAG
13
Airflow and Mesos
14
Model improvement cycle
15
Forecast verification
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Verification metrics
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Results
18
Improvements
19
CONFERENCES
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore applied data science and engineering techniques for local weather forecasting in this 33-minute conference talk from GOTO Berlin 2016. Discover how dramatic improvements in weather forecasting and climate modeling have led to exponential increases in data generation. Learn about MeteoGroup's ability to generate 10-day weather forecasts on-the-fly from a browser. Delve into topics such as numerical weather prediction models, forecasting systems, model engineering, scaling with Apache Airflow, and forecast verification metrics. Gain insights into the iterative process of model improvement and the results achieved. Presented by Nikhil Podduturi, Senior Data Engineer/Data Scientist at MeteoGroup, this talk provides a comprehensive overview of modern weather forecasting techniques and the data science behind them.

Applied Data Science & Engineering for Local Weather Forecasts

GOTO Conferences
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