A 305-year continuous monthly rainfall series for the Island of Ireland (1711–2016)

Murphy, Conor; Broderick, Ciaran; Burt, T. P.; Curley, Mary; Duffy, Catriona; Hall, Julia; Harrigan, Shaun; Matthews, Tom; MacDonald, Neil; McCarthy, Gerard; McCarthy, Mark; Mullan, Donal; Noone, Simon; Osborn, Timothy J.; Ryan, Ciara; Sweeney, John A.; Thorne, Peter; Walsh, Séamus; Wilby, Robert L.

doi:10.5194/cp-2017-142

Cited by 3 publications

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several long-term and systematic efforts of meteorological observations have covered significantly long timescales with high time cadences and are often used for reconstructing the long-term climate variability. Such examples include the long-term set of meteorological measurements in England from 1658 onward, France from 1688 onward, and Ireland from 1716 onward (Brönnimann et al, 2019;Manley, 1974;Murphy et al, 2017;Parker et al, 1992;Slonosky, 2002). From a modern research perspective, such historical meteorological records have been subjected to digitization efforts as they provide unique perspectives on the long-term meteorological variability (Brönnimann et al, 2019;Hawkins et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Digitization of Weather Records of Seungjeongwon Ilgi: A Historical Weather Dynamics Dataset of the Korean Peninsula in 1623-1910

Ichikawa,

Lyu,

Cheng

et al. 2023

Preprint

View full text Add to dashboard Cite

Historical weather records from Europe indicate that the Earth experienced substantial climate variability, which caused, for instance, the Little Ice Age and the global crisis in the period between the 14th and 19th centuries. However, it is still unclear how global this climate variability was because of the scarce meteorological data availability in other regions including East Asia, especially around the 17th century. In this context, Seungjeongwon Ilgi, a daily record of the Royal Secretariat of the Joseon Dynasty of Korea, is a precious source of historical meteorological records for the Korean Peninsula, as it covers 288 years of weather observations made during 1623-1910. We used the digital database of Seungjeongwon Ilgi to construct a machine-readable weather condition dataset. To this end, we extracted valid weather information from the original weather description text and compiled them into predefined weather categories. Additionally, we attempted to improve the usability of the dataset by converting the reported dates in the traditional calendar system to those in the Gregorian calendar. Finally, we outlined the promising implications of this dataset for meteorological and climatological studies, while describing the limitations of the dataset. Overall, future studies focusing on the climate and weather of the past could use this meteorological database for investigating long-term climate variability. Our datasets are publicly available at 10.5281/zenodo.8142701.

show abstract

Section: Introductionmentioning

confidence: 99%

Digitization of Weather Records of Seungjeongwon Ilgi: A Historical Weather Dynamics Dataset of the Korean Peninsula in 1623-1910

Ichikawa,

Lyu,

Cheng

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Non-parametric characterization of long-term rainfall time series

Tiwari¹,

Pandey

2018

Meteorol Atmos Phys

View full text Add to dashboard Cite

Benchmarking a decade of holistic agro-environmental studies within the Agricultural Catchments Programme

Mellander

Lynch

Galloway

et al. 2022

Irish Journal of Agricultural and Food Research

View full text Add to dashboard Cite

Meeting sustainable food production challenges requires efficient ways to manage nutrients and mitigate the losses of nitrogen (N) and phosphorus (P) to water. Future nutrient management therefore requires a clearer understanding of the relative influence of soils, geology, farm practice, landscape and weather on the propensity for nutrients to be lost to water. Within the Agricultural Catchments Programme (ACP), environmental, agronomic and socioeconomic data have been gathered since 2009, using the same experimental methodology in five meso-scale river catchments, and one karst spring zone, covering a range of soils, landscapes and farming systems. The ACP has contributed to a better understanding of nutrient mobilisation and transfer pathways and highlighted the influence of the physical and chemical environment as well as agricultural and meteorological drivers on diffuse nutrient loss to ground and surface waters. The environmental quality standards were breached for N and/or P in some of the catchments, but for different reasons and not always clearly linked to the source pressures within the catchment. There are clearly no one-size-fits-all solutions for mitigation of nutrient losses to water. A better understanding of the underlying processes is required to identify critical source areas, to select mitigation strategies, when to implement them and to build realistic expectations of their impact. Sustainability in an agricultural setting is not confined to environmental issues, but also includes social, economic and innovative aspects. To maximise farmers’ uptake of environmental measures, the actions should encompass all these aspects of sustainability. Integrated knowledge transfer is key.

show abstract

A 305-year continuous monthly rainfall series for the Island of Ireland (1711–2016)

Cited by 3 publications

References 21 publications

Digitization of Weather Records of Seungjeongwon Ilgi: A Historical Weather Dynamics Dataset of the Korean Peninsula in 1623-1910

Digitization of Weather Records of Seungjeongwon Ilgi: A Historical Weather Dynamics Dataset of the Korean Peninsula in 1623-1910

Non-parametric characterization of long-term rainfall time series

Benchmarking a decade of holistic agro-environmental studies within the Agricultural Catchments Programme

Contact Info

Product

Resources

About