scholarly journals United States Historical Climatology Network (US HCN) monthly temperature and precipitation data

1996 ◽  
Author(s):  
R.C. Daniels ◽  
T.A. Boden ◽  
D.R. Easterling ◽  
T.R. Karl ◽  
E.H. Mason ◽  
...  
Keyword(s):  
United States ◽  
Precipitation Data ◽  
Monthly Temperature ◽  
Temperature And Precipitation ◽  
Historical Climatology

The Effect of Weather on Walking Behavior in Older Adults

2012 ◽  
Vol 20 (1) ◽  
pp. 80-92 ◽  
Author(s):  
Richard A. Dunn ◽  
W. Douglass Shaw ◽  
Michael A. Trousdale
Keyword(s):  
Older Adults ◽  
Longitudinal Data ◽  
Mail Survey ◽  
Lower Probability ◽  
Precipitation Data ◽  
Weather Station ◽  
Walking Behavior ◽  
Monthly Temperature ◽  
Temperature And Precipitation

In this article, the authors examine how temperature and precipitation affect the probability that a retired American between the ages of 65 and 90 walks at least 2.5 hr/wk, using longitudinal data on walking frequency from the Consumption and Activities Mail Survey, a subpanel in the Health and Retirement Survey. Walking behavior is linked with monthly temperature and precipitation data from weather-station reports. The authors found that higher temperatures were associated with a higher probability of walking at least 2.5 hr/wk for women. In contrast, higher temperatures are associated with a lower probability of walking at least 2.5 hr/wk among men. Precipitation is not significantly associated with walking behavior for either gender.

scholarly journals Improved Historical Temperature and Precipitation Time Series for U.S. Climate Divisions

2014 ◽  
Vol 53 (5) ◽  
pp. 1232-1251 ◽  
Author(s):  
Russell S. Vose ◽  
Scott Applequist ◽  
Mike Squires ◽  
Imke Durre ◽  
Matthew J. Menne ◽  
...  
Keyword(s):  
United States ◽  
National Scale ◽  
Temperature Bias ◽  
Temperature And Precipitation ◽  
Temperature Trends ◽  
Spatial Consistency ◽  
Scale Temperature ◽  
Historical Climatology ◽  
Historical Temperature ◽  
Additional Station

AbstractThis paper describes an improved edition of the climate division dataset for the conterminous United States (i.e., version 2). The first improvement is to the input data, which now include additional station networks, quality assurance reviews, and temperature bias adjustments. The second improvement is to the suite of climatic elements, which now includes both maximum and minimum temperatures. The third improvement is to the computational approach, which now employs climatologically aided interpolation to address topographic and network variability. Version 2 exhibits substantial differences from version 1 over the period 1895–2012. For example, divisional averages in version 2 tend to be cooler and wetter, particularly in mountainous areas of the western United States. Division-level trends in temperature and precipitation display greater spatial consistency in version 2. National-scale temperature trends in version 2 are comparable to those in the U.S. Historical Climatology Network whereas version 1 exhibits less warming as a result of historical changes in observing practices. Divisional errors in version 2 are likely less than 0.5°C for temperature and 20 mm for precipitation at the start of the record, falling rapidly thereafter. Overall, these results indicate that version 2 can supersede version 1 in both operational climate monitoring and applied climatic research.

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