Abstract
Abstract. Climate science is about to produce numerical daily weather reconstructions based on meteorological measurements for central Europe 250 years back. Using a pilot reconstruction covering Switzerland at a 2×2 km2 resolution for 1816, this paper presents methods to translate numerical reconstructions and derived indices into text describing daily weather and the state of vegetation. This facilitates comparison with historical sources and analyses of the effects of weather on different aspects of life. The translation, termed “synthetic weather diary”, could possibly be used to train machine learning approaches to do the reverse: reconstruct past weather from categorised text entries in diaries.
Highlights
The past decade has seen tremendous advances in numerical weather reconstructions
In this paper I present a first step in this direction, termed “synthetic weather diary”
Recent efforts in climatology have resulted in daily weather reconstructions for the globe covering the last 200 years
Summary
The past decade has seen tremendous advances in numerical weather reconstructions They were enabled by new numerical techniques such as data assimilation (Compo et al, 2011), combined with a new demand arising from new scientific questions (better understanding variability), new societal needs (prepare for extreme weather events in the future), and the more widespread use of numerical modelling in climate impact research. In this situation, historical instrumental data – and documentary weather data – become once again valuable for science (Allan et al, 2011). In this paper I present a first step in this direction, termed “synthetic weather diary”
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