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Europe and the NH. Phil Jones Climatic Research Unit University of East Anglia Norwich, UK. Summary. Advantage of pressure over early observed variables Earlier MSLP digitization efforts CLIWOC – marine data
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Europe and the NH Phil Jones Climatic Research Unit University of East Anglia Norwich, UK
Summary • Advantage of pressure over early observed variables • Earlier MSLP digitization efforts • CLIWOC – marine data • Pressure data enable robust estimates of wind strength variations to be made over centuries
Pressure Advantages • Early observers with a barometer almost always knew what they were doing • Temperature, elevation and gravity adjustments can generally be taken care of quite easily • Time of daily observations also generally quite easy to deal with – from detailed observations that have often been made in many locations for 10-year periods • Pressure is much easier to homogenize than early temperature and precipitation measurements
1980s data digitization/analysis efforts • Extended monthly grids developed from station data, assuming gridded datasets from the late 19th century for parts of the NH (Europe and North America) • Grids based on daily weather maps drawn from 1899 onwards during WW2 (Historical Weather Mapping Project, HWMP), extended in Europe to 1873 using German operational charts • Reconstruction technique is Orthogonal Spatial Regression • Extensions of this approach to the Arctic – illustrating problem of the ‘Arctic High’, which resulted from the chart analysts being told there was an Arctic High, so generally in the absence of data they drew one • Bias introduced is up to 10hPa in northern Canada and the western Arctic before the 1940s • Jones, P.D., 1987: The early twentieth century Arctic High - fact or fiction? Climate Dynamics1, 63-75.
1990s data digitization/analysis efforts • SH and Antarctic work, also monthly station pressure based • If monthly average MSLP available then daily/sub-daily should be, it just will take some finding 77 SH sites from 1991 paper, with many extending back to 1910s
2000s data digitization/analysis efforts • HadSLP1 and HadSLP2 • EMULATE – daily gridded fields from the 1851 • Daily station data digitized across Europe for 1851-1880, then combined with the maps from HWMP, marine MSLP data from ICOADS and HadSLP2 for monthly continuity • EMULATE has had numerous uses in synoptic climatology – and like Lamb weather types allows for numerous U/G and MSc projects
A summer MSLP PC based on the 1911-40 period, showing the precipitation, temperature and DTR response A summer PC based on 1911-40
Reconstructions of circulation indices from wind measurements from ships’ logbooks - CLIWOC Reconstructions always better in the winter season/winter half year, which is unfortunately the time when there were least ships
Reduction in observation count a serious issue of early ship-based data – for an atmospheric measure as opposed to SST
Digitization today • Emphasis seems to be on Max/Min temperature and precipitation, but it is relatively easy to add in MSLP • ECA&D and ENSEMBLES daily digitization (and gridding) has included MSLP, but fewer NMSs have sent long series • Many seem unaware of the importance of MSLP data and the fact that it is far easier to homogenize than temperature and precipitation • Digitization needs to be justified and one important user of weather data is the Insurance Industry • Windstorms are the major insurance peril in Europe, and claims far outweigh fluvial or coastal flooding • Daily data are vital to develop long-term trends in circulation features and provide the best means of developing long series that are proxies for windiness • Sub-daily (e.g. 3-hourly) data can be used to provide long series of rapid deepening rates of storms
Extension of this back to 1750 for NW Europe • Daily MSLP digitized for Paris (back to 1675, with gaps in the 1730s/1740s), London (back to 1693, but with gaps in the 1710s/1720s) and De Bilt (back to 1706) • With these three sites the triangle approach will be able to put the high values seen in the 1880s into a longer-term context • Paris/London MSLP difference is also a very good NAO index for the winter
Conclusions • Many long MSLP records exists, but much is monthly • The daily should exist but finding it is often the problem • Many NMSs unaware of the potential usefulness of daily and sub-daily MSLP data • ERA-75 won’t be any better than ERA-40 for the pre-1979 period if more observational data are not added