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Detection and attribution of climate extremes in the observed record
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    1. Satellite Climate Data Records: Development, Applications, and Societal Benefits
      Personal Author:
      Yang, W. Z.; John, V. O.; Zhao, X. P.; Lu, H.; Knapp, K. R.;
      Published Date:
      2016
      Source:
      Remote Sensing, 8(4), 331.
      Series:
      CICSM (Cooperative Institute for Climate and Satellites Maryland)
      Description:
      This review paper discusses how to develop, produce, sustain, and serve satellite climate data records (CDRs) in the context of transitioning research to operation (R2O). Requirements and critical procedures of producing various CDRs, including Funda...
      File Type:
      Filetype[PDF - 1.28 MB]
    2. Assessment and Implications of NCEP Stage IV Quantitative Precipitation Estimates for Product Intercomparisons
      Personal Author:
      Nelson, B. R.; Prat, O. P.; Seo, D. J.; Habib, E.;
      Published Date:
      2016
      Source:
      Weather and Forecasting, 31(2), 371-394.
      Series:
      CICS-NC (Cooperative Institute for Climate and Satellites North Carolina)
      Description:
      The National Centers for Environmental Prediction (NCEP) stage IV quantitative precipitation estimates (QPEs) are used in many studies for intercomparisons including those for satellite QPEs. An overview of the National Weather Service precipitation ...
      File Type:
      Filetype[PDF - 5.69 MB]
    3. On the Link between Tropical Cyclones and Daily Rainfall Extremes Derived from Global Satellite Observations
      Personal Author:
      Prat, O. P.; Nelson, B. R.;
      Published Date:
      2016
      Source:
      Journal of Climate, 29(17), 6127-6135.
      Series:
      CICS-NC (Cooperative Institute for Climate and Satellites North Carolina)
      Description:
      The authors evaluate the contribution of tropical cyclones (TCs) to daily precipitation extremes over land for TC-active regions around the world. From 1998 to 2012, data from the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitatio...
      File Type:
      Filetype[PDF - 1.77 MB]
    4. Evaluation of Total Precipitable Water from CRCM4 using the NVAP-MEaSUREs Dataset and ERA-Interim Reanalysis Data
      Personal Author:
      Paquin, D.; Frigon, A.; Kunkel, K. E.;
      Published Date:
      2016
      Source:
      Atmosphere-Ocean, 54(5), 541-548.
      Series:
      CICS-NC (Cooperative Institute for Climate and Satellites North Carolina)
      Description:
      The fourth-generation Canadian Regional Climate Model's (CRCM4) precipitable water is evaluated and compared with observational data and ERA-Interim reanalysis data over five Canadian basins with simulations driven by ERA-Interim (two) and global cli...
      File Type:
      Filetype[PDF - 1.45 MB]
    5. Innovations in information management and access for assessments
      Innovations in information management and access for assessments
      Personal Author:
      Waple, A. M.; Champion, S. M.; Kunkel, K. E.; Tilmes, C.;
      Published Date:
      2016
      Source:
      Climatic Change, 135(1), 69-83.
      Series:
      CICS-NC (Cooperative Institute for Climate and Satellites North Carolina)
      Description:
      The third National Climate Assessment (NCA3) included goals for becoming a more timely, inclusive, rigorous, and sustained process, and for serving a wider variety of decision makers. In order to accomplish these goals, it was necessary to deliberate...
      File Type:
      Filetype[BIN - 82.99 KB]
    6. Innovations in science and scenarios for assessment
      Personal Author:
      Kunkel, K. E.; Moss, R.; Parris, A.;
      Published Date:
      2016
      Source:
      Climatic Change, 135(1), 55-68.
      Series:
      CICS-NC (Cooperative Institute for Climate and Satellites North Carolina)
      Description:
      Scenarios for the Third National Climate Assessment (NCA3) were produced for physical climate and sea level rise with substantial input from disciplinary and regional experts. These scenarios underwent extensive review and were published as NOAA Tech...
      File Type:
      Filetype[PDF - 326.53 KB]
    7. Identification of Tropical Cyclone Storm Types Using Crowdsourcing
      Personal Author:
      Knapp, K. R.; Matthews, J. L.; Kossin, J. P.; Hennon, C. C.;
      Published Date:
      2016
      Source:
      Monthly Weather Review, 144(10), 3783-3798.
      Series:
      CICS-NC (Cooperative Institute for Climate and Satellites North Carolina)
      Description:
      The Cyclone Center project maintains a website that allows visitors to answer questions based on tropical cyclone satellite imagery. The goal is to provide a reanalysis of satellite-derived tropical cyclone characteristics from a homogeneous historic...
      File Type:
      Filetype[PDF - 2.63 MB]
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