Coffee Hour with Jared Oyler: Empirical Modeling of Climate Variability at Locally Relevant Spatiotemporal Scales

Friday, September 30, 2016 - 3:30pm
Refreshments are offered in 319 Walker Building at 3:30 p.m. The lecture begins in 112 Walker Building at 4:00 p.m.

weather max temps map

About the talk

High-resolution gridded climate products are essential for both the evaluation and downscaling of climate models, and as inputs to assessments of climate impacts on local hydrology, ecosystem processes, and biotic communities. However, there has been little formal analysis on the ability of these products to accurately capture temporal variability and trends in local climate. Here, I will review the development of a new gridded daily temperature dataset aimed at improving spatiotemporal representations of air temperature at the topoclimatic spatial scale, the scale at which air temperature is influenced by local topography and land surface properties. From a spatial perspective, I will first examine how remotely sensed land skin temperature can be used as a key covariate in spatial interpolations of air temperature. Second, I will examine how homogenization algorithms are critical for reducing significant temporal biases in gridded topoclimatic air temperature, especially in the complex terrain of the western U.S. Lastly, I will discuss progress on a daily precipitation topoclimate product for Pennsylvania and next steps towards producing more decision-relevant climate information for the region.

About the speaker

Jared OylerJared Oyler ('09g) is a postdoctoral scholar within the Network for Sustainable Climate Risk Management (SCRiM) at Penn State. He is the project lead for the TopoWx conterminous U.S. temperature product and develops gridded and downscaled climate data products and statistical models for use in natural resource management, agriculture, environmental research and decision support applications. He holds a Ph.D. in Forestry and Conservation from the University of Montana, a M.S. in Geography from Penn State where he worked with Erica Smithwick and Alan MacEachren, and a B.S. in Computer Information Systems from Drexel University.




Suggested reading

    • Oyler, J.W., A. Ballantyne, K. Jencso, M. Sweet, and S.W. Running (2014), Creating a topoclimatic daily air temperature dataset for the conterminous United States using homogenized station data and remotely sensed land skin temperature. International Journal of Climatology,
    • Oyler, J.W., S.Z. Dobrowski, A.P. Ballantyne, A.E. Klene, and S.W. Running (2015), Artificial amplification of warming trends across the mountains of the western United States. Geophysical Research Letters,

    • Oyler, J.W., S.Z. Dobrowski, Z.A. Holden, and S.W. Running (2016), Remotely sensed land skin temperature as a spatial predictor of air temperature across the conterminous United States. Journal of Applied Meteorology and Climatology,

Contact us

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Angela Rogers  office: 814-865-2493 email:

Coffee Hour