Multispectral remote sensing for rainfall detection and estimation at the source of the Blue Nile River

Abstract Most remote sensing based rainfall products have spatial resolutions ≥0.25° and temporal resolutions ≥1 day which are coarser than what is typically needed in hydrology. In this study, satellite data obtained from the precipitation radar (PR) of the Tropical Rainfall Measuring Mission (TRMM) which acquires data at 5 km resolution once or twice a day and from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) of the Meteosat Second Generation (MSG-2) which acquires data at 3 km resolution at 15 min interval. We evaluated three MSG-2 channels for rainfall detection in the Upper Blue Nile area in Ethiopia by the following indices: (1) 10.8 μm brightness temperature, (2) rate of change of the 10.8 μm brightness temperature, (3) space gradient of the 10.8 μm brightness temperature, (4) brightness temperature difference (BTD) at the 10.8 and 6.2 μm and (5) BTD at the 10.8 and 12.0 μm channels. The evaluation was made through categorical statistics that are bias, probability of detection, false alarm ratio and Heidke skill score. In this work also, an exponential model was developed for thermal infrared based rainfall estimation. The model was evaluated using observations from a rain gauge network that we installed at the source of the Blue Nile River in Ethiopia.

[1]  F. Hossain,et al.  Investigating Error Metrics for Satellite Rainfall Data at Hydrologically Relevant Scales , 2008 .

[2]  C. Mannaerts,et al.  METEOSAT-8: FROM TEMPERATURE TO RAINFALL , 2006 .

[3]  W. Woodley,et al.  Rain Estimation from Geosynchronous Satellite Imagery—Visible and Infrared Studies , 1978 .

[4]  Y. Hong,et al.  Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System , 2004 .

[5]  Jeffrey A. Jones,et al.  Use of the Surface Reference Technique for Path Attenuation Estimates from the TRMM Precipitation Radar , 2000 .

[6]  Y. Hong,et al.  The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales , 2007 .

[7]  A. Bárdossy,et al.  Use of geostationary meteorological satellite images in convective rain estimation for flash-flood forecasting , 2008 .

[8]  B. N. Meisner,et al.  The Relationship between Large-Scale Convective Rainfall and Cold Cloud over the Western Hemisphere during 1982-84 , 1987 .

[9]  Andrea Giachetti,et al.  Rainfall estimation from infrared data using an improved version of the Auto-Estimator Technique , 2004 .

[10]  Tae-Kyung Hong,et al.  Phase composition of regional seismic waves from underground nuclear explosions , 2005 .

[11]  Mekonnen Gebremichael,et al.  Rainfall Variability over Mountainous and Adjacent Lake Areas: The Case of Lake Tana Basin at the Source of the Blue Nile River , 2009 .

[12]  S. Sorooshian,et al.  Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks , 1997 .

[13]  Robert J. Kuligowski,et al.  A Self-Calibrating Real-Time GOES Rainfall Algorithm for Short-Term Rainfall Estimates , 2002 .

[14]  Ec Barrett,et al.  Satellite Identification of Rain Days over the Upper Nile River Basin Using an Optimum Infrared Rain/No-Rain Threshold Temperature Model , 1995 .

[15]  F. J. Turk,et al.  Toward improved characterization of remotely sensed precipitation regimes with MODIS/AMSR-E blended data techniques , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[16]  S. Sorooshian,et al.  Evaluation of PERSIANN system satellite-based estimates of tropical rainfall , 2000 .

[17]  Phillip A. Arkin,et al.  The Relationship between Fractional Coverage of High Cloud and Rainfall Accumulations during GATE over the B-Scale Array , 1979 .

[18]  Robert F. Adler,et al.  Rain Estimation from Satellites: An Examination of the Griffith-Woodley Technique , 1984 .

[19]  V. Retsios,et al.  Processing of MSG - 1 SEVIRI data in the thermal infrared - algorithm development with the use of the SPARC2004 data set , 2005 .

[20]  R. Scofield,et al.  The Operational GOES Infrared Rainfall Estimation Technique , 1998 .

[21]  Z. Su,et al.  1 PROCESSING OF MSG-1 SEVIRI DATA IN THE THERMAL INFRARED-ALGORITHM DEVELOPMENT WITH THE USE OF THE SPARC 2004 DATA SET , 2005 .

[22]  K. Okamoto,et al.  Rain profiling algorithm for the TRMM precipitation radar , 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.

[23]  C. Doswell,et al.  On Summary Measures of Skill in Rare Event Forecasting Based on Contingency Tables , 1990 .

[24]  Y. Hong,et al.  Improved representation of diurnal variability of rainfall retrieved from the Tropical Rainfall Measurement Mission Microwave Imager adjusted Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks (PERSIANN) system , 2005 .

[25]  Robert F. Adler,et al.  A Satellite Infrared Technique to Estimate Tropical Convective and Stratiform Rainfall , 1988 .

[26]  Toshiro Inoue,et al.  A cloud type classification with NOAA 7 split‐window measurements , 1987 .

[27]  I. Laszlo,et al.  Detection of water vapor in the stratosphere over very high clouds in the tropics , 1993 .