IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v171y2020icp26-35.html
   My bibliography  Save this article

Improvement in rainfall estimates using bias correction with the IAP-DCP Global Model

Author

Listed:
  • Humphries, Usa
  • Kaewmesri, Pramet
  • Varnakovida, Pariwate
  • Wongwises, Prungchan

Abstract

This study uses a bias correction method to modify the estimates of the Institute of Atmospheric Physics Dynamical Seasonal Prediction (IAP-DCP) model over the Indo-China Peninsula (ICP). Bias correction is a way of improving the results from post processing model simulation to nearly observation data and increase accuracy. This study used the result from the global IAP-DCP model of Humphries et al. (2018) and improved it by using bias correction. Observation data from the Global Precipitation Climatology Project Version 2.3 (GPCP) were compared with the results of Humphries et al. (2018) and bias correction. Experiments with two bias correction weighting factors w of 5% (0.05) and 8% (0.08) were used. The results are shown in terms of spatial patterns and statistical analysis. In the statistical analysis, during the southern monsoon (JJA), bias correction at w = 0.05 decreased RMSE member mean from 3.598 to 3.022 (decrease = 0.576) and MAE member mean from 2.804 to 2.441 (decrease = 0.363). Bias correction of w = 0.05 decreased RMSE member mean from 3.598 to 2.927 (decrease = 0.671) and decreased MAE member mean from 2.804 to 2.364 (decrease = 0.440). In the spatial pattern case, bias correction improved on the results of Humphries et al. (2018). Furthermore, the results using bias correction of w = 0.05 were better than those with w = 0.05. However, from the mean spatial pattern and statistical analyses, that is demonstrated that bias correction can help to decrease the error and increase the accuracy of model results.

Suggested Citation

  • Humphries, Usa & Kaewmesri, Pramet & Varnakovida, Pariwate & Wongwises, Prungchan, 2020. "Improvement in rainfall estimates using bias correction with the IAP-DCP Global Model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 171(C), pages 26-35.
    • Handle: RePEc:eee:matcom:v:171:y:2020:i:c:p:26-35
    DOI: 10.1016/j.matcom.2019.10.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475419302939
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2019.10.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:171:y:2020:i:c:p:26-35. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.