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Linda O. Mearns

Researcher at National Center for Atmospheric Research

Publications -  152
Citations -  26312

Linda O. Mearns is an academic researcher from National Center for Atmospheric Research. The author has contributed to research in topics: Climate change & Climate model. The author has an hindex of 61, co-authored 147 publications receiving 24545 citations. Previous affiliations of Linda O. Mearns include University Corporation for Atmospheric Research & University of Kansas.

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Climate Extremes: Observations, Modeling, and Impacts

TL;DR: Results of observational studies suggest that in many areas that have been analyzed, changes in total precipitation are amplified at the tails, and changes in some temperature extremes have been observed.

Regional climate projections

TL;DR: Arritt et al. as discussed by the authors presented a survey of the state-of-the-art work in the field of sport psychology, including the following authors: R. Arritt (USA), R. Benestad (Norway), M. Beniston (Switzerland), D.Caya (Canada), J.C. Caya, J.F. Comiso, R.H. Feddema, A.L. Lowe (UK), A.S. Nokhandan (Iran), JC. New (UK, M.
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The Importance of Land-Cover Change in Simulating Future Climates

TL;DR: Adding the effects of changes in land cover to the A2 and B1 transient climate simulations described in the Special Report on Emissions Scenarios (SRES) by the Intergovernmental Panel on Climate Change leads to significantly different regional climates in 2100 as compared with climates resulting from atmospheric SRES forcings alone.
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Introduction to special section : Regional climate modeling revisited

TL;DR: In this article, the authors provide an introduction to the special issue of the Journal of Geophysical Research on “New Developments and Applications With the NCAR Regional Climate Model (RegCM).

Guidelines for Use of Climate Scenarios Developed from Statistical Downscaling Methods

TL;DR: This article reviewed statistical methods of estimating point climate from coarse-scale climate projections, and provided guidance on the use of point climate data for many climate impact applications, especially for regions of complex topography, coastal or island locations, and in highly heterogeneous land cover.