Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6559-2017
https://doi.org/10.5194/hess-21-6559-2017
Research article
 | 
22 Dec 2017
Research article |  | 22 Dec 2017

Evaluation of GPM IMERG Early, Late, and Final rainfall estimates using WegenerNet gauge data in southeastern Austria

Sungmin O, Ulrich Foelsche, Gottfried Kirchengast, Juergen Fuchsberger, Jackson Tan, and Walter A. Petersen

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Cited articles

Ali, A., Amani, A., Diedhiou, A., and Lebel, T.: Rainfall estimation in the Sahel. Part II: Evaluation of rain gauge networks in the CILSS countries and objective intercomparison of rainfall products, J. Appl. Meteorol., 44, 1707–1722, https://doi.org/10.1175/JAM2305.1, 2005.
Almazroui, M.: Calibration of TRMM rainfall climatology over Saudi Arabia during 1998–2009, Atmos. Res., 99, 400–414, https://doi.org/10.1016/j.atmosres.2010.11.006, 2011.
Barros, A. P., Joshi, M., Putkonen, J., and Burbank, D. W.: A study of the 1999 monsoon rainfall in a mountainous region in central Nepal using TRMM products and rain gauge observations, Geophys. Res. Lett., 27, 3683–3686, https://doi.org/10.1029/2000GL011827, 2000.
Bidwell, S., Durning, J., Everett, D., Schwaller, M., Smith, E., and Wolff, D.: Preparations for global precipitation measurement (GPM) ground validation, Proceedings of 2004 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2004), 4, 921–924, https://doi.org/10.1109/IGARSS.2004.1368558, 2004.
Boushaki, F. I., Hsu, K.-L., Sorooshian, S., Park, G.-H., Mahani, S., and Shi, W.: Bias adjustment of satellite precipitation estimation using ground-based measurement: A case study evaluation over the southwestern United States, J. Hydrometeorol., 10, 1231–1242, https://doi.org/10.1175/2009JHM1099.1, 2009.
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We evaluate gridded satellite rainfall estimates, from GPM IMERG, through a direct grid-to-grid comparison with gauge data from the WegenerNet Feldbach (WEGN) network in southeastern Austria. As the WEGN data are independent of the IMERG gauge adjustment process, we could analyze the IMERG estimates across its three different runs. Our results show the effects of additional retrieval processes on the final rainfall estimates, and consequently provide IMERG accuracy information for data users.