2020
DOI: 10.1175/jcli-d-19-0270.1
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Dynamics, Variability, and Change in Seasonal Precipitation Reconstructions for North America

Abstract: Cool- and warm-season precipitation totals have been reconstructed on a gridded basis for North America using 439 tree-ring chronologies correlated with December–April totals and 547 different chronologies correlated with May–July totals. These discrete seasonal chronologies are not significantly correlated with the alternate season; the December–April reconstructions are skillful over most of the southern and western United States and north-central Mexico, and the May–July estimates have skill over most of th… Show more

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Cited by 65 publications
(91 citation statements)
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“…The RWI chronologies were calculated from raw measurements of tree-ring widths and these datasets were mostly obtained from the International Tree-Ring Databank (ITRDB). The network of RWI chronologies considered as potential predictors here is essentially the same as considered by Williams et al (2020), which is an update and extension of the network used for prior gridded drought reconstructions (Cook et al, 2010b;Stahle et al, 2016Stahle et al, , 2020. While many of the RWI records used in our study are known to be strong proxies for growing-season soil moisture, interannual variability in warm-season soil moisture across much of the study region, and the Sierra Nevada in particular, is dominated by cool-season precipitation (St. George & Ault, 2014;.…”
Section: Cool-season Precipitation Reconstructionmentioning
confidence: 99%
“…The RWI chronologies were calculated from raw measurements of tree-ring widths and these datasets were mostly obtained from the International Tree-Ring Databank (ITRDB). The network of RWI chronologies considered as potential predictors here is essentially the same as considered by Williams et al (2020), which is an update and extension of the network used for prior gridded drought reconstructions (Cook et al, 2010b;Stahle et al, 2016Stahle et al, , 2020. While many of the RWI records used in our study are known to be strong proxies for growing-season soil moisture, interannual variability in warm-season soil moisture across much of the study region, and the Sierra Nevada in particular, is dominated by cool-season precipitation (St. George & Ault, 2014;.…”
Section: Cool-season Precipitation Reconstructionmentioning
confidence: 99%
“…The final predictor pools contain EW, LW, and TRW records. To minimize exaggeration of season‐to‐season persistence, no TRW chronology could be considered for both cool and warm season (Stahle et al., 2020; Torbenson & Stahle, 2018). If a chronology was significantly correlated with aggregates of both seasons, it was considered a predictor variable for the season in which it displayed the highest correlation.…”
Section: Methodsmentioning
confidence: 99%
“…Traditional dendroclimatic studies have focused on identifying the strongest climate signal in the tree‐ring record (Cook et al., 1999), often an aggregated soil moisture variable such as growing‐season Palmer Drought Severity Index (PDSI, Palmer, 1965). However, this aggregate signal is driven by different seasonal precipitation components depending on species and local climatology (St. George et al., 2010; Stahle et al., 2020). In recent decades, an increasing number of seasonally resolved hydroclimate reconstructions have been produced (e.g., Stahle et al., 2009; Torbenson & Stahle, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Most tree‐ring sites do not strongly record climate in the late summer and autumn (Wise & Dannenberg, 2019) due to the cessation of cambial activity (Fritts, 1976), an issue frequently encountered in dendroclimate studies aimed at seasonal reconstructions. The North American Seasonal Drought Atlas (Stahle et al., 2020) reconstructs cool and warm seasons as December‐April and May‐July, respectively, omitting the third of the year from August‐November. Ziaco et al.…”
Section: Introductionmentioning
confidence: 99%