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    Author(s): E.A. Burakowski; S.V. Ollinger; G.B. Bonan; C.P. Wake; J.E. Dibb; D.Y. Hollinger
    Date: 2016
    Source: Journal of Climate. 29(14): 5141-5156.
    Publication Series: Scientific Journal (JRNL)
    Station: Northern Research Station
    PDF: Download Publication  (2.0 MB)


    The New England region of the northeastern United States has a land use history characterized by forest clearing for agriculture and other uses during European colonization and subsequent reforestation following widespread farm abandonment. Despite these broad changes, the potential influence on local and regional climate has received relatively little attention. This study investigated wintertime (December through March) climate impacts of reforestation in New England using a high-resolution (4 km) multiphysics ensemble of the Weather Research and Forecasting Model. In general, the conversion from mid-1800s cropland/grassland to forest led to warming, but results were sensitive to physics parameterizations. The 2-m maximum temperature (T2max) was most sensitive to choice of land surface model, 2-m minimum temperature (T2min) was sensitive to radiation scheme, and all ensemble members simulated precipitation poorly. Reforestation experiments suggest that conversion of mid-1800s cropland/grassland to present-day forest warmed T2max 10.5 to 13K, with weaker warming during a warm, dry winter compared to a cold, snowy winter. Warmer T2max over forests was primarily the result of increased absorbed shortwave radiation and increased sensible heat flux compared to cropland/grassland. At night, T2min warmed 10.2 to 11.5K where deciduous broadleaf forest replaced cropland/grassland, a result of decreased ground heat flux. By contrast, T2min of evergreen needleleaf forest cooled –0.5 to –2.1 K, primarily owing to increased ground heat flux and decreased sensible heat flux.

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    Burakowski, E.A.; Ollinger, S.V.; Bonan, G.B.; Wake, C.P.; Dibb, J.E.; Hollinger, D.Y. 2016. Evaluating the climate effects of reforestation in New England using a weather research and forecasting (WRF) model multiphysics ensemble. Journal of Climate. 29(14): 5141-5156.


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