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International Journal of Climatology · 2023 · Vol. 43 · Issue 3 · Wiley
Drought is a recurring natural hazard that has substantial human and environmental impacts. Given continued global warming and associated climate change, there is concern that droughts could become more severe and longer lasting. To better monitor and understand drought development and persistence, it is helpful to understand the development and climatic drivers of past droughts. In this study we use monthly runoff percentiles...
International Journal of Climatology · 2021 · Vol. 41 · Issue 3 · Wiley
Time series of water‐year runoff for 2,109 hydrologic units (HUs) across the conterminous United States (CONUS) for the 1900 through 2014 period were used to identify drought and pluvial (i.e., wet) periods. Characteristics of the drought and pluvial events including frequency, duration, and severity were examined and compared. Additionally, a similar analysis was performed using gridded tree‐ring reconstructions of the Palmer...
Global Change Biology · 2020 · Vol. 26 · Issue 4 · Wiley
Land‐use and climate change are significantly affecting stream ecosystems, yet understanding of their long‐term impacts is hindered by the few studies that have simultaneously investigated their interaction and high variability among future projections. We modeled possible effects of a suite of 2030, 2060, and 2090 land‐use and climate scenarios on the condition of 70,772 small streams in the Chesapeake Bay watershed, United S...
International Journal of Climatology · 2019 · Vol. 39 · Issue 3 · Wiley
Over the Upper Colorado River basin (UCRB), temperatures in widely used gridded data products do not warm as much as mean temperatures from a stable set of U.S. Historical Climatology Network (USHCN) stations, located at generally lower elevations, in most months of the year. This is contrary to expectations of elevation‐dependent warming, which suggests that warming increases with elevation. These findings could reflect (a) a...
International Journal of Climatology · 2017 · Vol. 37 · Issue 2 · Wiley
In this study, a monthly water‐balance model is used to simulate monthly runoff for 2109 hydrologic units ( HUs ) in the conterminous United States ( CONUS ) for water‐years 1901 through 2014. The monthly runoff time series for each HU were smoothed with a 3‐month moving average, and then the 3‐month moving‐average runoff values were converted to percentiles. For each HU , a drought was considered to occur when the HU runoff p...
International Journal of Climatology · 2015 · Vol. 35 · Issue 15 · Wiley
The timing of last spring frost dates ( LSFDs ), first fall frost dates ( FFFDs ), and frost‐free period lengths ( FFPLs ) constrains freeze–thaw processes in hydrology, paces the annual life cycles of plants and animals, affects human food production, and influences land–atmosphere interactions, including the water and carbon cycles. Daily minimum temperature data for the conterminous United States ( CONUS ) from the Global H...
International Journal of Climatology · 2013 · Vol. 33 · Issue 4 · Wiley
Willmott et al. [Willmott CJ, Robeson SM, Matsuura K. 2012. A refined index of model performance. International Journal of Climatology , forthcoming. DOI:10.1002/joc.2419.] recently suggest a refined index of model performance ( d r ) that they purport to be superior to other methods. Their refined index ranges from − 1.0 to 1.0 to resemble a correlation coefficient, but it is merely a linear rescaling of our modified coeffici...
International Journal of Climatology · 2012 · Vol. 32 · Issue 15 · Wiley
Detrended, modelled first leaf dates for 856 sites across North America for the period 1900–2008 are used to examine how the El Niño Southern Oscillation (ENSO) and the Pacific Decadal Oscillation (PDO) separately and together might influence the timing of spring. Although spring (mean March through April) ENSO and PDO signals are apparent in first leaf dates, the signals are not statistically significant (at a 95% confidence...
International Journal of Climatology · 2011 · Vol. 31 · Issue 12 · Wiley
A monthly water balance model (WB model) is used with CRUTS2.1 monthly temperature and precipitation data to generate time series of monthly runoff for all land areas of the globe for the period 1905 through 2002. Even though annual precipitation accounts for most of the temporal and spatial variability in annual runoff, increases in temperature have had an increasingly negative effect on annual runoff after 1980. Although the...
International Journal of Climatology · 2006 · Vol. 26 · Issue 7 · Wiley
Principal components analysis (PCA) and singular value decomposition (SVD) are used to identify the primary modes of decadal and multidecadal variability in annual global Palmer Drought Severity Index (PDSI) values and sea‐surface temperatures (SSTs). The PDSI and SST data for 1925–2003 were detrended and smoothed (with a 10‐year moving average) to isolate the decadal and multidecadal variability. The first two principal compo...