Abstract Historical weather observations on the daily scale are vital for the improvement of reanalysis products and the analysis of long‐term variability of extreme events. While daily datasets extend for several centuries in parts of the Northern Hemisphere, the majority of historical data for the Southern Hemisphere are monthly averages or totals. In this paper, we describe a newly recovered dataset of ten daily meteorological variables for 1877 to 1922 from Eversleigh, a property in the New England region of New South Wales in Australia. Here, we present the full process of data rescue, from digitization to quality control and an assessment of homogeneity. We show that the majority of variables were recorded to a high standard and that ...
© 2013 Dr. Linden Claire AshcroftSoutheastern Australia (SEA) is the most highly populated and agric...
© Copyright 2010 American Meteorological Society (AMS). Permission to use figures, tables, and brief...
Global temperature increases are most clearly detected in the shifting distribution of extreme event...
Deposited with permission of the author. © 1996 Dr. Simon James Torok.A high quality, historical su...
Historical meteorological observations for southeastern Australia, covering 1788–1859. The dataset c...
© 2001 Dr. Blair C. TrewinA high-quality set of historical daily temperature data has been developed...
Recovering historical instrumental climate data is crucial for identifying long-term climate variabi...
© 2009 Australian Meteorological and Oceanographic SocietyThis study presents the first analysis of ...
Meteorology appealed to Australia’s early nation builders. By gaining knowledge of the continent’s u...
The best available surface temperature (T) and precipitation (P) records for Australia dating back t...
AbstractRisks from weather and climate extremes to governments, industries and communities are incre...
The linking theme within this thesis is meteorological data rescue, whereby records of past weather ...
At the global scale, reconstructions of cool season temperature over past centuries are relatively r...
Risks from weather and climate extremes to governments, industries and communities are increasing an...
This paper presents the case for improved interdisciplinarity in climate research in the context of ...
© 2013 Dr. Linden Claire AshcroftSoutheastern Australia (SEA) is the most highly populated and agric...
© Copyright 2010 American Meteorological Society (AMS). Permission to use figures, tables, and brief...
Global temperature increases are most clearly detected in the shifting distribution of extreme event...
Deposited with permission of the author. © 1996 Dr. Simon James Torok.A high quality, historical su...
Historical meteorological observations for southeastern Australia, covering 1788–1859. The dataset c...
© 2001 Dr. Blair C. TrewinA high-quality set of historical daily temperature data has been developed...
Recovering historical instrumental climate data is crucial for identifying long-term climate variabi...
© 2009 Australian Meteorological and Oceanographic SocietyThis study presents the first analysis of ...
Meteorology appealed to Australia’s early nation builders. By gaining knowledge of the continent’s u...
The best available surface temperature (T) and precipitation (P) records for Australia dating back t...
AbstractRisks from weather and climate extremes to governments, industries and communities are incre...
The linking theme within this thesis is meteorological data rescue, whereby records of past weather ...
At the global scale, reconstructions of cool season temperature over past centuries are relatively r...
Risks from weather and climate extremes to governments, industries and communities are increasing an...
This paper presents the case for improved interdisciplinarity in climate research in the context of ...
© 2013 Dr. Linden Claire AshcroftSoutheastern Australia (SEA) is the most highly populated and agric...
© Copyright 2010 American Meteorological Society (AMS). Permission to use figures, tables, and brief...
Global temperature increases are most clearly detected in the shifting distribution of extreme event...