Javascript must be enabled to continue!
Was Franz Baur’s Infamous Long-Range Weather Forecast for the Winter of 1941/42 on the Eastern Front Really Wrong?
View through CrossRef
Abstract
In October 1941, Nazi Germany’s High Command realized that the war against the Soviet Union could not be ended before winter. The German professor Franz Baur prepared a long-range weather forecast for the winter of 1941/42. Baur never revealed anything about this forecast. However, according to an article published 10 years after Baur’s death, Baur predicted that the winter of 1941/42 would be normal or milder than normal, primarily based on the main argument that the previous two winters had been very severe and never in climatic history had more than two severe winters occurred in a row. The winter ended up being one of the worst. Today, Baur’s prognoses from wartime are public. In this article, it is shown that the previous description of Baur’s prognosis for the winter of 1941/42 is incorrect. Baur had a problematic relationship with his colleagues, so it is possible that the story of his prognosis is incorrect due to personal and professional contradictions. Baur’s postulated prognosis for the winter of 1941/42 destroyed his reputation. Based on the original prognoses from wartime and Baur’s scientific and personal history, this article shows that this judgment was too harsh and unfair.
Title: Was Franz Baur’s Infamous Long-Range Weather Forecast for the Winter of 1941/42 on the Eastern Front Really Wrong?
Description:
Abstract
In October 1941, Nazi Germany’s High Command realized that the war against the Soviet Union could not be ended before winter.
The German professor Franz Baur prepared a long-range weather forecast for the winter of 1941/42.
Baur never revealed anything about this forecast.
However, according to an article published 10 years after Baur’s death, Baur predicted that the winter of 1941/42 would be normal or milder than normal, primarily based on the main argument that the previous two winters had been very severe and never in climatic history had more than two severe winters occurred in a row.
The winter ended up being one of the worst.
Today, Baur’s prognoses from wartime are public.
In this article, it is shown that the previous description of Baur’s prognosis for the winter of 1941/42 is incorrect.
Baur had a problematic relationship with his colleagues, so it is possible that the story of his prognosis is incorrect due to personal and professional contradictions.
Baur’s postulated prognosis for the winter of 1941/42 destroyed his reputation.
Based on the original prognoses from wartime and Baur’s scientific and personal history, this article shows that this judgment was too harsh and unfair.
Related Results
Correction method by introducing cloud cover forecast factor in model temperature forecast
Correction method by introducing cloud cover forecast factor in model temperature forecast
Objective temperature forecast products can achieve better forecast quality by using one-dimensional regression correction directly based on the present model temperature forecast ...
First experiences with a seamless weather forecast for severe weather products at MeteoSwiss
First experiences with a seamless weather forecast for severe weather products at MeteoSwiss
At MeteoSwiss, a suite of Numerical Weather Prediction (NWP) models is regularly run to provide the data basis for generating weather forecasts and severe weather warnings for the ...
Lessons Learned from the Co-Development and Integration of a Subseasonal Forecast into the Yr weather service
Lessons Learned from the Co-Development and Integration of a Subseasonal Forecast into the Yr weather service
Subseasonal forecasting, which bridges the gap between short-term weather forecasts and seasonal outlooks, covers lead times of 2–6 weeks. Traditionally, these forecasts are presen...
Forecasting North America Winter Surface Air Temperature Using Machine Learning Methods
Forecasting North America Winter Surface Air Temperature Using Machine Learning Methods
<p>Two machine learning (ML) models (Support Vector Regression and Extreme Gradient Boosting; SVR and XGBoost hereafter) have been developed to perform seasonal forec...
Site-specific analog weather-forecast system for northwest Himalaya, India
Site-specific analog weather-forecast system for northwest Himalaya, India
AbstractIn an analog weather-forecasting procedure, recorded weather in the past analogs corresponding to the current weather situation is used to predict future weather. Consisten...
Pesonalising weather forecasts using AI techniques
Pesonalising weather forecasts using AI techniques
<p>Communicating the scientific data of the weather forecasts to the general public has always been a challenge. Using computer graphics&#8217; visual represe...
Power System Analysis Incorporating Weather: Power Flow Analysis & Transient Stability Analysis
Power System Analysis Incorporating Weather: Power Flow Analysis & Transient Stability Analysis
<p>Climate change, evolution of power systems into complex modern systems, and advancements in disruptive technologies (distributed generation and renewable energy systems) h...
Making Uncertainty in Sub-seasonal Weather Forecasts Intelligible
Making Uncertainty in Sub-seasonal Weather Forecasts Intelligible
Sub-seasonal weather forecasting is notoriously difficult, particularly for the extra-tropics. Predictions must be probabilistic, and from weeks 3 or 4 onwards forecast distributio...

