TL;DR: Briffa as discussed by the authors was one of the most influential palaeoclimatologists of the last 30 years, whose primary research interests lay in Late-Holocene climate change with a geographical emphasis on northern Eurasia.
Abstract: Keith R. Briffa was one of the most influential palaeoclimatologists of the last 30 years. His primary research interests lay in Late-Holocene climate change with a geographical emphasis on northern Eurasia. His greatest impact was in the field of dendroclimatology, a field that he helped to shape. His contributions have been seminal to the development of sound methods for tree-ring analysis and in their proper application to allow the interpretation of climate variability from tree rings. This led to the development of many important records that allow us to understand natural climate variability on timescales from years to millennia and to set recent climatic trends in their historical context.
His primary research interests lay in late Holocene climate change with a geographical emphasis on northern Eurasia.
His contributions have been seminal to the development of sound methods for tree-ring analysis and in their proper application to allow the interpretation of climate variability from tree rings.
This led to the development of many important records that allow us to understand natural climate variability on timescales from years to millennia and to set recent climatic trends in their historical context.
TL;DR: In this article, Chen et al. present a survey of the state of the art in the field of computer vision and artificial intelligence, including a discussion of the role of the human brain in computer vision.
Abstract: S. Solomon, D. Qin, M. Manning, M. Marquis, K. Averyt, M.M.B. Tignor, H. LeRoy Miller, Jr. and Z. Chen, Cambridge, Cambridge University Press, 2007, 996 pp. (paperback), ISBN-978-1-57718-033-3 This...
6,121 citations
"In Memoriam: Keith R. Briffa, 1952-..." refers background in this paper
...In particular, he was a lead author of the Palaeoclimate chapter (Jansen et al., 2007) for the IPCC’s Fourth Assessment Report, with a focus on the, at times controversial, topic of climate variations during the last 2000 years....
TL;DR: In this article, the authors derived formulas for the correlation coefficient between the average of a finite number of time series and the population average, where the subsample signal strength (SSS) and expressed population signal (EPS) were derived.
Abstract: In a number of areas of applied climatology, time series are either averaged to enhance a common underlying signal or combined to produce area averages. How well, then, does the average of a finite number (N) of time series represent the population average, and how well will a subset of series represent the N-series average? We have answered these questions by deriving formulas for 1) the correlation coefficient between the average of N time series and the average of n such series (where n is an arbitrary subset of N) and 2) the correlation between the N-series average and the population. We refer to these mean correlations as the subsample signal strength (SSS) and the expressed population signal (EPS). They may be expressed in terms of the mean inter-series correlation coefficient r as SSS ≡ (Rn,N)2 ≈ n(1 + (N − 1)r)/ N(1 + (N − 1)r), EPS ≡ RN)2 ≈ Nr/1 + (N − 1)r.Similar formulas are given relating these mean correlations to the fractional common variance which arises as a parameter in a...
2,949 citations
"In Memoriam: Keith R. Briffa, 1952-..." refers background in this paper
...Their article (Wigley et al., 1984) is among the most widely cited in dendroclimatology, with over 2100 citations in Google Scholar in May 2018 (and related methodological work – Briffa and Jones (1990) – has almost 500 citations)....
TL;DR: In this article, a commonly used drought index and observational data are examined to identify the cause of these discrepancies, and the authors indicate that improvements in the quality and coverage of precipitation data and quantification of natural variability are necessary to provide a better understanding of how drought is changing.
Abstract: Recent studies have produced conflicting results about the impacts of climate change on drought. In this Perspective, a commonly used drought index and observational data are examined to identify the cause of these discrepancies. The authors indicate that improvements in the quality and coverage of precipitation data and quantification of natural variability are necessary to provide a better understanding of how drought is changing.
TL;DR: In this article, a Principal Component Analysis (PCA) is performed on yearly values for the 17 reconstructions over the period AD 1660-1970, all extending back at least to the mid-seventeenth century, to form two annually resolved hemispheric series (NH10 and SH7).
Abstract: Palaeoclimatology provides our only means of assessing climatic variations before the beginning of instrumental records. The various proxy variables used, however, have a number of limitations which must be adequately addressed and understood. Besides their obvious spatial and seasonal limitations, different proxies are also potentially limited in their ability to represent climatic variations over a range of different timescales. Simple correlations with instrumental data over the period since AD 1881 give some guide to which are the better proxies, indicating that coral- and ice-core-based reconstructions are poorer than tree-ring and historical ones. However, the quality of many proxy time series can deteriorate during earlier times. Suggestions are made for assessing proxy quality over longer periods than the last century by intercomparing neighbouring proxies and, by comparisons with less temporally resolved proxies such as borehole temperatures. We have averaged 17 temperature reconstructions (representing various seasons of the year), all extending back at least to the mid-seventeenth century, to form two annually resolved hemispheric series (NH10 and SH7). Over the 1901-91 period, NH10 has 36% variance in common with average NH summer (June to August) temperatures and 70% on decadal timescales. SH7 has 16% variance in common with average SH summer (December to February) temperatures and 49% on decadal timescales, markedly poorer than the reconstructed NH series. The coldest year of the millennium over the NH is AD 1601, the coldest decade 1691-1700 and the seventeenth is the coldest century. A Principal Components Analysis (PCA) is performed on yearly values for the 17 reconstructions over the period AD 1660-1970. The correlation between PC1 and NH10 is 0.92, even though PC1 explains only 13.6% of the total variance of all 17 series. Similar PCA is performed on thousand-year-long General Circulation Model (GCM) data from the Geophysical Fluid Dynamics Laboratory (GFDL) and the Hadley Centre (HADCM2), sampling these for the same locations and seasons as the proxy data. For GFDL, the correlation between its PC1 and its NH10 is 0,89, while for HADCM2 the PCs group markedly differently. Cross-spectral analyses are performed on the proxy data and the GFDL model data at two different frequency bands (0.02 and 0.03 cycles per year). Both analyses suggest that there is no large-scale coherency in the series on these timescales. This implies that if the proxy data are meaningful, it should be relatively straightforward to detect a coherent near-global anthropogenic signal in surface temperature data.
790 citations
"In Memoriam: Keith R. Briffa, 1952-..." refers background in this paper
...…only certain proxies (e.g. trees only) or the effects of only using a limited number of series that all extended back for the whole millennium (Jones et al., 1998; Juckes et al., 2007; Kaufman et al., 2009; Osborn and Briffa, 2006; Rutherford et al., 2005), as well as reconstructions of…...
TL;DR: The most severe short-term Northern Hemisphere cooling event of the past 600 years occurred in 1601, suggesting that either the effect on climate of the eruption of Huaynaputina, Peru, in 1600 has previously been greatly underestimated, or another, as yet unidentified, eruption occurred at the same time as discussed by the authors.
Abstract: A network of temperature-sensitive tree-ring-density chronologies provides circum-hemisphere information on year-by-year changes in summer warmth in different regions of the northern boreal forest1. Combining these data into a single time-series provides a good summer-temperature proxy for northern high latitudes and the Northern Hemisphere as a whole2. Here we use this well dated, high-resolution composite time-series to suggest that large explosive volcanic eruptions produced different extents of Northern Hemisphere cooling during the past 600 years. The large effect of some recent eruptions is apparent, such as in 1816, 1884 and 1912, but the relative effects of other known, and perhaps some previously unknown, pre-nineteenth-century eruptions are also evaluated. The most severe short-term Northern Hemisphere cooling event of the past 600 years occurred in 1601, suggesting that either the effect on climate of the eruption of Huaynaputina, Peru, in 1600 has previously been greatly underestimated, or another, as yet unidentified, eruption occurred at the same time. Other strong cooling events occurred in 1453, seemingly confirming a 1452 date for the eruption of Kuwae, southwest Pacific, and in 1641/42, 1666, 1695 and 1698.
771 citations
"In Memoriam: Keith R. Briffa, 1952-..." refers background in this paper
...Keith was also the first to demonstrate that a widespread divergence between some MXD data and instrumental summer temperatures in northern high latitude had apparently occurred since about 1960 (Briffa et al., 1998c)....
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...MXD reconstructions led to better isolation of the effects of explosive volcanic eruptions (Briffa et al., 1998a) and with exact dating the realization that these events could be used to improve ice core dating (Vinther et al., 2010)....
Briffa this paper was one of the most influential palaeoclimatologists of the last thirty years, whose primary research interests lay in late Holocene climate change with a geographical emphasis on northern Eurasia.