Evaluation of Satellite Rainfall Estimates for Drought and Flood Monitoring in Mozambique

Other literature type, Article English OPEN
Tote, C. ; Patricio, D. ; Boogaard, H.L. ; Wijngaart, van der, R. ; Tarnavsky, E. ; Funk, C. (2015)
  • Publisher: MDPI
  • Journal: Remote Sensing (issn: 2072-4292)
  • Related identifiers: doi: 10.3390/rs70201758
  • Subject: pairwise comparison | Q | rainfall | rain gauge | Mozambique | drought | Science | categorical validation | satellite | flood

Satellite derived rainfall products are useful for drought and flood early warning and overcome the problem of sparse, unevenly distributed and erratic rain gauge observations, provided their accuracy is well known. Mozambique is highly vulnerable to extreme weather events such as major droughts and floods and thus, an understanding of the strengths and weaknesses of different rainfall products is valuable. Three dekadal (10-day) gridded satellite rainfall products (TAMSAT African Rainfall Climatology And Time-series (TARCAT) v2.0, Famine Early Warning System NETwork (FEWS NET) Rainfall Estimate (RFE) v2.0, and Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS)) are compared to independent gauge data (2001–2012). This is done using pairwise comparison statistics to evaluate the performance in estimating rainfall amounts and categorical statistics to assess rain-detection capabilities. The analysis was performed for different rainfall categories, over the seasonal cycle and for regions dominated by different weather systems. Overall, satellite products overestimate low and underestimate high dekadal rainfall values. The RFE and CHIRPS products perform as good, generally outperforming TARCAT on the majority of statistical measures of skill. TARCAT detects best the relative frequency of rainfall events, while RFE underestimates and CHIRPS overestimates the rainfall events frequency. Differences in products performance disappear with higher rainfall and all products achieve better results during the wet season. During the cyclone season, CHIRPS shows the best results, while RFE outperforms the other products for lower dekadal rainfall. Products blending thermal infrared and passive microwave imagery perform better than infrared only products and particularly when meteorological patterns are more complex, such as over the coastal, central and south regions of Mozambique, where precipitation is influenced by frontal systems.
  • References (38)
    38 references, page 1 of 4

    Maidment, R.I.; Grimes, D.; Allan, R.P.; Tarnavsky, E.; Stringer, M.; Hewison, T.; Roebeling, R.; Black, E. The 30-year TAMSAT African Rainfall Climatology and Time-series (TARCAT) dataset.

    J. Geophys. Res.: Atmos. 2014, 199, 10619-10644.

    Tarnavsky, E.; Grimes, D.; Maidment, R.; Black, E.; Allan, R.; Stringer, M.; Chadwick, R.; Kayitakire, F. Extension of the TAMSAT satellite-based rainfall monitoring over Africa and from 1983 to present. J. Appl. Meteorol. Climatol. 2014, 53, 2805-2822.

    Kidd, C. Satellite rainfall climatology: A review. Int. J. Climatol. 2001, 21, 1041-1066.

    Thorne, V.; Coakeley, P.; Grimes, D.; Dugdale, G. Comparison of TAMSAT and CPC rainfall estimates with raingauges, for southern Africa. Int. J. Remote Sens. 2001, 22, 1951-1974.

    Dinku, T.; Chidzambwa, S.; Ceccato, P.; Connor, S.J.; Ropelewski, C.F. Validation of high resolution satellite rainfall products over complex terrain. Int. J. Remote Sens. 2008, 29, 4097-4110.

    Arkin, P.; Meisner, B. The relationship between large-scale convective rainfall and cold cloud over the western hemisphere during 1982-1984. Mon. Wea. Rev. 1987, 115, 51-74.

    8. Kummerow, C.; Hong, Y.; Olson, W.; Yang, S.; Adler, R.F.; McCollum, J.; Ferraro, R.; Petty, G.; Shin, D.B.; Wilheit, T. The evolution of the Goddard Profiling Algorithm (GPROF) for rainfall estimation from passive microwave sensors. J. Appl. Meteorol. Climatol. 2001, 40, 1801-1820.

    9. Adler, R.F.; Negri, A.J.; Keehn, P.R.; Hakkarinen, I.M. Estimation of rainfall over Japan and surrounding waters from a combination of low-orbit microwave and geosynchronous IR data. J. Appl. Meteorol. Climatol. 1993, 32, 335-356.

    10. Grimes, D.I.F.; Pardo-Iguzquiza, E.; Bonifacio, R. Optimal areal rainfall estimation using raingauges and satellite data. J. Hydrol. 1999, 222, 93-108.

  • Metrics
    0
    views in OpenAIRE
    0
    views in local repository
    130
    downloads in local repository

    The information is available from the following content providers:

    From Number Of Views Number Of Downloads
    Central Archive at the University of Reading - IRUS-UK 0 130
Share - Bookmark