Abstract
At present, a number of newly satellite-derived precipitation estimates are freely available for exploration and could benefit the hydrological community. This study aimed to evaluate the Tropical Rainfall Measuring Mission TRMM 3B42 rainfall estimate algorithm in forest basins in Northern Tunisia. We selected 77 events, with 50 mm/day heavy rainfall as selection criteria, for at least one station of the study area observed during 2007, 2008 and 2009. Rainfall stations were interpolated using the inverse distance method. Results were discussed in terms of the TRMM product accuracy in comparison with rain gauges over the forestry zone (169 stations). The Pearson’s correlation coefficient between satellite estimations and ground maps reached 0.7 for some events and were weak for others. The comparison results of TRMM algorithm over forestry zone within Northern Tunisia shows a weak difference in terms of false alarm ratio (FAR), and bias. However, it shows a better detection for the whole of Northern Tunisia in terms of correlation coefficient and the probability of detection (POD). Some uncertainties have been found, across the TRMM algorithm over forestry region. Thus, the evaluation of satellite algorithms before use as input for other models is recommended.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Tian, Y., Liu, Y., Arsenault, K.R., Behrangi, A.: A new approach to satellite-based estimation of precipitation over snow cover. Int. J. Remote Sens. 35, 4940–4951 (2014). https://doi.org/10.1080/01431161.2014.930208.2
Ouma, Y.O., Owiti, T., Kipkorir, E., KibIy, J., Ryutaro, T.: Multitemporal comparative analysis of TRMM-3B42 satellite-estimated rainfall with surface gauge data at basin scales: daily, decadal and monthly evaluations. Int. J. Remote Sens. 33, 7662–7684 (2012)
Ilwis Help.: ILWIS version 2.22 (1999)
El Kenawy, A.M., Lopez, J.I., McCabe M.F., Vicente, S.M.: Evaluation of the TMPA-3B42 precipitation product using a high-density rain gauge network over complex terrain in northeastern Iberia. Global Planet. Change 133, 188–200
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Dhib, S., Bargaoui, Z., Mannaerts, C.M. (2019). Validation of TRMM Satellite Rainfall Algorithm for Forest Basins in Northern Tunisia. In: El-Askary, H., Lee, S., Heggy, E., Pradhan, B. (eds) Advances in Remote Sensing and Geo Informatics Applications. CAJG 2018. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-01440-7_20
Download citation
DOI: https://doi.org/10.1007/978-3-030-01440-7_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01439-1
Online ISBN: 978-3-030-01440-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)