@article{guckian_markowitz_tucker_kiekebusch_klemm_middleton_wootten_staudinger_2021, title={Assessing the Impact of an Online Climate Science Community: The Early Career Climate Forum}, volume={13}, ISSN={["1948-8335"]}, DOI={10.1175/WCAS-D-20-0150.1}, abstractNote={Abstract Online science communities can serve as powerful platforms for advancing scientific knowledge, capacity, and outreach by increasing collaboration and information sharing among geographically distant peers, practitioners, and the public. Here, we examine the value and role of the Early Career Climate Forum (ECCF), a climate-focused online science community that is based in the United States and is dedicated to training and providing support to the next generation of climate scientists. In a survey of community users and contributors, we find that the ECCF played a unique role in providing users access to career resources as well as climate-related research and insights. Respondents also indicated that the ECCF provides them with a strong sense of community and a sense of hope for the future of climate science research. These findings highlight the importance of online science communities in shaping and supporting the next generation of scientists and practitioners working at the science–management interface on climate change issues.}, number={2}, journal={WEATHER CLIMATE AND SOCIETY}, author={Guckian, Meaghan L. and Markowitz, Ezra M. and Tucker, Clay S. and Kiekebusch, Elsita and Klemm, Toni and Middleton, Lindsey and Wootten, Adrienne and Staudinger, Michelle D.}, year={2021}, month={Apr}, pages={315–325} }
 @article{wootten_bowden_boyles_terando_2016, title={The Sensitivity of WRF Downscaled Precipitation in Puerto Rico to Cumulus Parameterization and Interior Grid Nudging}, volume={55}, ISSN={["1558-8432"]}, url={http://dx.doi.org/10.1175/jamc-d-16-0121.1}, DOI={10.1175/jamc-d-16-0121.1}, abstractNote={Abstract The sensitivity of the precipitation over Puerto Rico that is simulated by the Weather Research and Forecasting (WRF) Model is evaluated using multiple combinations of cumulus parameterization (CP) schemes and interior grid nudging. The NCEP–DOE AMIP-II reanalysis (R-2) is downscaled to 2-km horizontal grid spacing both with convective-permitting simulations (CP active only in the middle and outer domains) and with CP schemes active in all domains. The results generally show lower simulated precipitation amounts than are observed, regardless of WRF configuration, but activating the CP schemes in the inner domain improves the annual cycle, intensity, and placement of rainfall relative to the convective-permitting simulations. Furthermore, the use of interior-grid-nudging techniques in the outer domains improves the placement and intensity of rainfall in the inner domain. Incorporating a CP scheme at convective-permitting scales (<4 km) and grid nudging at non-convective-permitting scales (>4 km) improves the island average correlation of precipitation by 0.05–0.2 and reduces the island average RMSE by up to 40 mm on average over relying on the explicit microphysics at convective-permitting scales with grid nudging. Projected changes in summer precipitation between 2040–42 and 1985–87 using WRF to downscale CCSM4 range from a 2.6-mm average increase to an 81.9-mm average decrease, depending on the choice of CP scheme. The differences are only associated with differences between WRF configurations, which indicates the importance of CP scheme for projected precipitation change as well as historical accuracy.}, number={10}, journal={JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY}, author={Wootten, A. and Bowden, J. H. and Boyles, R. and Terando, A.}, year={2016}, month={Oct}, pages={2263–2281} }
 @book{wootten_furiness_2015, title={Downscaled climate projections for the southeast: Evaluation and use for ecological applications}, volume={2015-01}, journal={Technical Report}, institution={DOI Southeast Climate Science Center}, author={Wootten, A. and Furiness, C.}, year={2015} }
 @article{wootten_boyles_2014, title={Comparison of NCEP Multisensor Precipitation Estimates with Independent Gauge Data over the Eastern United States}, volume={53}, ISSN={["1558-8432"]}, DOI={10.1175/jamc-d-14-0034.1}, abstractNote={Abstract Gauge-calibrated radar estimates of daily precipitation are compared with daily observed values of precipitation from National Weather Service (NWS) Cooperative Observer Network (COOP) stations to evaluate the multisensor precipitation estimate (MPE) product that is gridded by the National Centers for Environmental Prediction (NCEP) for the eastern United States (defined as locations east of the Mississippi River). This study focuses on a broad evaluation of MPE across the study domain by season and intensity. In addition, the aspect of precipitation type is considered through case studies of winter and summer precipitation events across the domain. Results of this study indicate a north–south gradient in the error of MPE and a seasonal pattern with the highest error in summer and autumn and the lowest error in winter. Two case studies of precipitation are also considered in this study. These case studies include instances of intense precipitation and frozen precipitation. These results suggest that MPE is less able to estimate convective-scale precipitation as compared with precipitation variations at larger spatial scales. In addition, the results suggest that MPE is subject to errors related both to the measurement gauges and to the radar estimates used. Two case studies are also included to discuss the differences with regard to precipitation type. The results from these case studies suggest that MPE may have higher error associated with estimating the liquid equivalent of frozen precipitation when compared with NWS COOP network data. The results also suggest the need for more analysis of MPE error for frozen precipitation in diverse topographic regimes.}, number={12}, journal={JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY}, author={Wootten, Adrienne and Boyles, Ryan P.}, year={2014}, month={Dec}, pages={2848–2862} }
 @article{wootten_raman_sims_2010, title={Diurnal variation of precipitation over the Carolina Sandhills region}, volume={119}, ISSN={["0253-4126"]}, DOI={10.1007/s12040-010-0045-2}, abstractNote={The Carolina Sandhills are known to have an area of maximum precipitation on its western boundary during the summer mainly due to differences in soil types. Statistical analysis was performed on summer precipitation data from automated weather stations in the Carolinas, along the Sandhills for the years 2001 to 2006. Statistically significant difference was observed between the day and night precipitation amounts. A case study also revealed the diurnal pattern of convective precipitation. North American Mesoscale (NAM) model forecasts for the summers of 2004 to 2006 were evaluated using observations. The model underpredicted precipitation significantly during nights. A numerical simulation using Weather Research and Forecast (WRF) model was performed for August 9–11, 2001 and the forecasts were compared with observed precipitation data. The model precipitation forecasts were better for daytime as compared to the night. This feature is attributed to model physics not capturing cloud-radiation interaction processes dominant during nights. Although this study is for a specific region in the US, results are applicable for other regions for similar conditions.}, number={5}, journal={JOURNAL OF EARTH SYSTEM SCIENCE}, author={Wootten, A. and Raman, S. and Sims, A.}, year={2010}, month={Oct}, pages={579–596} }