+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Estimating areal rainfall over Lake Victoria and its basin using ground-based and satellite data

Estimating areal rainfall over Lake Victoria and its basin using ground-based and satellite data

Journal of Hydrology 464-465(none)

A gridded monthly rainfall dataset having a spatial resolution of 2 km and covering the period 196 24 was derived for the Lake Victoria basin. The lake and its basin support more than 3 million people and also contribute substantially to the River Nile flow. The major challenge in the estimation of the Lake Victoria water balance is the estimation of the rainfall over the lake, which is further complicated by the varying quality and spatial coverage of rain-gauge data in the basin. In this study, these problems were addressed by using rain-gauge data for 315 stations around the basin and satellite-derived precipitation data from two products to derive a monthly precipitation dataset for the entire basin, including the lake. First, the rain-gauge data were quality controlled. Thereafter short gaps were filled in the daily data series which resulted in 9,429 additional months of data. Two spatial interpolation methods were used for generating the gridded rainfall dataset and the universal kriging method performed slightly better than the inverse distance weighting method. The enhancement of rainfall over the lake surface was addressed by estimating a relationship between rain-gauge and satellite data. Two satellite rainfall products, TRMM 3B43 and PERSIANN were compared to the interpolated monthly rain-gauge data for the land part of the basin. The bias in the TRMM 3B43 rainfall estimates was higher than the bias for PERSIANN but its correlation was higher with a better representation of the intra-annual variability. The TRMM 3B43 product showed an enhancement of lake rainfall over basin rainfall of 33% while the PERSIANN product gave a much higher enhancement of up to 85%. We produced a gridded rainfall dataset for Lake Victoria basin for 196 24. Lack of rainfall measurements on the lake surface is a key problem. Equations derived using satellite rainfall data to estimate lake rainfall. Dataset is useful for water resources assessments for the lake and its sub-basins.

Please choose payment method:

(PDF emailed within 0-6 h: $19.90)

Accession: 036508295

Download citation: RISBibTeXText

DOI: 10.1016/j.jhydrol.2012.07.024

Related references

A satellite-based rainfall estimation method for the Lake Victoria basin. Remote sensing and hydrology 2000 Selected papers from a conference held at Santa Fe, New Mexico, USA, 2-7 April 2000: 481-486, 2001

Optimal areal rainfall estimation using raingauges and satellite data. Journal of Hydrology 222(1-4): 93-108, 1999

Temporal extension of meteorological records for hydrological modelling of Lake Chad Basin Africa using satellite rainfall data and reanalysis datasets. Meteorological Applications 19(1): 54-70, 2012

Estimating plant nitrogen status in irrigated corn using ground-based and satellite data. Proceedings of the 7th International Conference on Precision Agriculture and Other Precision Resources Management, Hyatt Regency, Minneapolis, MN, USA, 25-28 July, 2004: 1429-1441, 2004

Combining satellite, ground-based and assimilated data for estimating regional land surface evaporation. Annales Geophysicae (1988) 16, Suppl, 1998

GeoEye-1 satellite versus ground-based multispectral data for estimating nitrogen status of turfgrasses. International Journal of Remote Sensing 36(8): 2238-2251, 2015

The falling Lake Victoria water level GRACE, TRIMM and CHAMP satellite analysis of the lake basin. Water Resources Management: 7, 775-796, 2008

The falling Lake Victoria water level: GRACE, TRIMM and CHAMP satellite analysis of the lake basin. Water Resources Management 22(7): 775-796, 2008

Comparison of geostatistical methods for estimating the areal average climatological rainfall mean using data on precipitation and topography. International Journal of Climatology 18(9): 1031-1047, 1998

Applicability of satellite based rainfall algorithms for estimating flood-related rainfall events in the mid-latitudes – part I spatial integration. 2011

Evaluation of the real-time TRMM-based multi-satellite precipitation analysis for an operational flood prediction system in Nzoia Basin, Lake Victoria, Africa. Natural Hazards 50(1): 109-123, 2009

Estimating regional carbon exchange in New England and Quebec by combining atmospheric, ground-based and satellite data. TELLUS B 58(5): 344-358, 2006

QuickBird satellite versus ground-based multi-spectral data for estimating nitrogen status of irrigated maize. Precision Agriculture 11(3): 274-290, 2010

Evaluation of CFSR, TMPA 3B42 and ground-based rainfall data as input for hydrological models, in data-scarce regions: The upper Blue Nile Basin, Ethiopia. Catena 152: 242-251, 2017

Estimating crop yields and production by integrating the FAO Crop Specific Water Balance model with real-time satellite data and ground-based ancillary data. International Journal of Remote Sensing 21(18): 3487-3508, 15 December, 2000