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@ARTICLE{Rastogi:836062,
      author       = {Rastogi, Deeksha and Kao, Shih-Chieh and Ashfaq, Moetasim
                      and Mei, Rui and Kabela, Erik D. and Gangrade, Sudershan and
                      Naz, Bibi S. and Preston, Benjamin L. and Singh, Nagendra
                      and Anantharaj, Valentine G.},
      title        = {{E}ffects of climate change on probable maximum
                      precipitation: {A} sensitivity study over the
                      {A}labama-{C}oosa-{T}allapoosa {R}iver {B}asin},
      journal      = {Journal of geophysical research / Atmospheres},
      volume       = {122},
      number       = {9},
      issn         = {2169-897X},
      address      = {Hoboken, NJ},
      publisher    = {Wiley},
      reportid     = {FZJ-2017-05186},
      pages        = {4808 - 4828},
      year         = {2017},
      abstract     = {Probable maximum precipitation (PMP), defined as the
                      largest rainfall depth that could physically occur under a
                      series of adverse atmospheric conditions, has been an
                      important design criterion for critical infrastructures such
                      as dams and nuclear power plants. To understand how PMP may
                      respond to projected future climate forcings, we used a
                      physics-based numerical weather simulation model to estimate
                      PMP across various durations and areas over the
                      Alabama-Coosa-Tallapoosa (ACT) River Basin in the
                      southeastern United States. Six sets of Weather Research and
                      Forecasting (WRF) model experiments driven by both
                      reanalysis and global climate model projections, with a
                      total of 120 storms, were conducted. The depth-area-duration
                      relationship was derived for each set of WRF simulations and
                      compared with the conventional PMP estimates. Our results
                      showed that PMP driven by projected future climate forcings
                      is higher than 1981–2010 baseline values by around $20\%$
                      in the 2021–2050 near-future and $44\%$ in the 2071–2100
                      far-future periods. The additional sensitivity simulations
                      of background air temperature warming also showed an
                      enhancement of PMP, suggesting that atmospheric warming
                      could be one important factor controlling the increase in
                      PMP. In light of the projected increase in precipitation
                      extremes under a warming environment, the reasonableness and
                      role of PMP deserve more in-depth examination.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000402039000004},
      doi          = {10.1002/2016JD026001},
      url          = {https://juser.fz-juelich.de/record/836062},
}