This dataset is presented as a downloadable Excel Spreadsheet:
and as comma-separated values (CSV):
Publication date V1. 2019/08/29
Last updated V1. 2019/08/29
This work is licensed under a Creative Commons Attribution 4.0 International License.
YOU MUST CITE AS: Rothamsted Research (2019). Saxmundham monthly meteorological data summaries 1966-1985. Electronic Rothamsted Archive https://doi.org/10.23637/Sax-1928223556-01
Rothamsted relies on the integrity of users to ensure that Rothamsted Research receives suitable acknowledgement as being the originators of these data. This enables us to monitor the use of each dataset and to demonstrate their value. Please send us a link to any publication that uses this Rothamsted data.
This dataset consists of monthly summaries of meteorological data measured at Saxmundham Experimental Station in East Suffolk, UK, from January 1966 until December 1985, and is derived from daily measurements taken at the site.
Saxmundham Experimental Station, Saxmundham, Suffolk, UK. 52.221 N 1.466 E 37 m asl.
The monthly summary data contained in this spreadsheet are derived from daily data measured at Saxmundham Experimental Station Meteorological Station, Saxmundham, Suffolk, UK. The 1966 and 1967 summaries were published in the Rothamsted Annual Reports for those years; subsequent years were also published in the 'Numerical Results' or 'Yields of the Fields Experiments' for 1968-1985, as well as the Rothamsted Annual Reports for each year. Summary data were converted from paper copies to electronic files using code to extract and compile summary data into a single dataset, July 2019. Verification of daily data includes checks for instrument errors, for missing data and outliers.
SaxMetDatamonthly1966-sup-v1.xlsx: Description of variables, data available, and record of missing or incomplete data, 1966-1985.
Margaret Glendining, Richard Ostler, Sarah Perryman, Lilybelle Cowland-Kellock, Tony Scott.
Please contact the e-RA Curators for further information, and assistance with questions about the data or its interpretation:
Department of Computational and Analytical Sciences (CAS)
Harpenden, Herts, AL5 2JQ
The Long-term Experiments and weather stations are supported by the Lawes Agricultural Trust and BBSRC National Capability Funding (BBS/E/C/000J0300) recognising the national and international importance of the data.