Willy Tegel - Academia.edu (original) (raw)
Related Authors
Pontificio Istituto di Archeologia Cristiana
University of Zagreb, Faculty of Humanities and Social Sciences [Filozofski fakultet]
Uploads
Papers by Willy Tegel
Quaternary Science Reviews, 2010
Over the past three decades, numerous Late Holocene-long tree-ring (TR) chronologies have been de... more Over the past three decades, numerous Late Holocene-long tree-ring (TR) chronologies have been developed for different parts of Europe that allow archaeological, historical and cultural wood remains to be dated with annual precision. Ironically, palaeoclimatic evidence inherent in such composites is limited as modern updates essential for calibration/verification with instrumental measurements are often inappropriate, incomplete or even missing. Here we proposes a novel approach to updating historical TR records while preventing statistical over-fit with the target data and advocate 'horizontal' splitting between historical (early) and recent (modern) TR samples prior to their standardization (detrending). This split-technique will help to overcoming unprecedented effects of increased atmospheric greenhouse-gas, biospheric fertilization, forest management, sample replication, age-structure and chronology development associated with modern proxy updates.
Conference Presentations by Willy Tegel
Quaternary Science Reviews, 2010
Over the past three decades, numerous Late Holocene-long tree-ring (TR) chronologies have been de... more Over the past three decades, numerous Late Holocene-long tree-ring (TR) chronologies have been developed for different parts of Europe that allow archaeological, historical and cultural wood remains to be dated with annual precision. Ironically, palaeoclimatic evidence inherent in such composites is limited as modern updates essential for calibration/verification with instrumental measurements are often inappropriate, incomplete or even missing. Here we proposes a novel approach to updating historical TR records while preventing statistical over-fit with the target data and advocate 'horizontal' splitting between historical (early) and recent (modern) TR samples prior to their standardization (detrending). This split-technique will help to overcoming unprecedented effects of increased atmospheric greenhouse-gas, biospheric fertilization, forest management, sample replication, age-structure and chronology development associated with modern proxy updates.