A comparison of Meteosat rainfall estimation techniques in Kenya

Tucker, M. R.; Sear, Chris

doi:10.1017/s1350482701001098

Cited by 13 publications

(8 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Given the heterogeneous nature of the African rainfall climate, CCD fields are regionally calibrated assuming a linear relationship between CCD and rainfall for each calendar month using historic gauge measurements, ensuring the resulting estimates reflect the expected local conditions [17][18][19]. The TAMSAT method has shown high levels of skill across Africa [8,10,35,[39][40][41][42].…”

Section: The Tamsat Methodsmentioning

confidence: 99%

The Use of Remotely Sensed Rainfall for Managing Drought Risk: A Case Study of Weather Index Insurance in Zambia

et al. 2016

View full text Add to dashboard Cite

Remotely sensed rainfall is increasingly being used to manage climate-related risk in gauge sparse regions. Applications based on such data must make maximal use of the skill of the methodology in order to avoid doing harm by providing misleading information. This is especially challenging in regions, such as Africa, which lack gauge data for validation. In this study, we show how calibrated ensembles of equally likely rainfall can be used to infer uncertainty in remotely sensed rainfall estimates, and subsequently in assessment of drought. We illustrate the methodology through a case study of weather index insurance (WII) in Zambia. Unlike traditional insurance, which compensates proven agricultural losses, WII pays out in the event that a weather index is breached. As remotely sensed rainfall is used to extend WII schemes to large numbers of farmers, it is crucial to ensure that the indices being insured are skillful representations of local environmental conditions. In our study we drive a land surface model with rainfall ensembles, in order to demonstrate how aggregation of rainfall estimates in space and time results in a clearer link with soil moisture, and hence a truer representation of agricultural drought. Although our study focuses on agricultural insurance, the methodological principles for application design are widely applicable in Africa and elsewhere.

show abstract

Section: The Tamsat Methodsmentioning

confidence: 99%

The Use of Remotely Sensed Rainfall for Managing Drought Risk: A Case Study of Weather Index Insurance in Zambia

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Comparisons with other available products have been carried out, including for Kenya (Herman et al 1997;Tucker and Sear 2001), West Africa (Laurent et al 1998;Jobard et al 2011;Snijders 1991), Ethiopia (Dinku et al 2007), southern Africa (Thorne et al 2001), and Uganda (Asadullah et al 2008;Maidment et al 2013). These showed that the TAMSAT approach outperforms or is comparable to other available satellite-based datasets with similar spatial and temporal resolution and extent.…”

Section: Introductionmentioning

confidence: 99%

Extension of the TAMSAT Satellite-Based Rainfall Monitoring over Africa and from 1983 to Present

Tarnavsky

Grimes

Maidment

et al. 2014

Journal of Applied Meteorology and Climatology

222

149

View full text Add to dashboard Cite

Tropical Applications of Meteorology Using Satellite Data and Ground-Based Observations (TAMSAT) rainfall monitoring products have been extended to provide spatially contiguous rainfall estimates across Africa. This has been achieved through a new, climatology-based calibration, which varies in both space and time. As a result, cumulative estimates of rainfall are now issued at the end of each 10-day period (dekad) at 4-km spatial resolution with pan-African coverage. The utility of the products for decision making is improved by the routine provision of validation reports, for which the 10-day (dekadal) TAMSAT rainfall estimates are compared with independent gauge observations. This paper describes the methodology by which the TAMSAT method has been applied to generate the pan-African rainfall monitoring products. It is demonstrated through comparison with gauge measurements that the method provides skillful estimates, although with a systematic dry bias. This study illustrates TAMSAT's value as a complementary method of estimating rainfall through examples of successful operational application.

show abstract

“…Although few, some studies have been performed at the country scale to evaluate satellite rainfall products. In Africa, these studies include Angola (Pombo, de Oliveira, and Mendes 2015), Ethiopia and Zimbabwe (Dinku et al 2007;Diro et al 2009;Hirpa, Gebremichael, and Hopson 2010), Kenya (Tucker and Sear 2001), Mozambique (Toté et al 2015), and Uganda (Asadullah, McIntyre, and Kigobe 2008;Maidment et al 2013). None of these studies was carried out for a West African country.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and comparison of satellite-based rainfall products in Burkina Faso, West Africa

Dembélé

Zwart

2016

International Journal of Remote Sensing

242

153

View full text Add to dashboard Cite

The performance of seven operational high-resolution satellitebased rainfall products -Africa Rainfall Estimate Climatology (ARC 2.0), Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), African Rainfall Estimation (RFE 2.0), Tropical Applications of Meteorology using SATellite (TAMSAT), African Rainfall Climatology and Timeseries (TARCAT), and Tropical Rainfall Measuring Mission (TRMM) daily and monthly estimates -was investigated for Burkina Faso. These were compared to ground data for 2001-2014 on a pointto-pixel basis at daily to annual time steps. Continuous statistics was used to assess their performance in estimating and reproducing rainfall amounts, and categorical statistics to evaluate rain detection capabilities. The north-south gradient of rainfall was captured by all products, which generally detected heavy rainfall events, but showed low correlation for rainfall amounts. At daily scale they performed poorly. As the time step increased, the performance improved. All (except TARCAT) provided excellent scores for Bias and Nash-Sutcliffe Efficiency coefficients, and overestimated rainfall amounts at the annual scale. RFE performed the best, whereas TARCAT was the weakest. Choice of product depends on the specific application: ARC, RFE, and TARCAT for drought monitoring, and PERSIANN, CHIRPS, and TRMM daily for flood monitoring in Burkina Faso. ARTICLE HISTORY

show abstract

A comparison of Meteosat rainfall estimation techniques in Kenya

Cited by 13 publications

References 10 publications

The Use of Remotely Sensed Rainfall for Managing Drought Risk: A Case Study of Weather Index Insurance in Zambia

The Use of Remotely Sensed Rainfall for Managing Drought Risk: A Case Study of Weather Index Insurance in Zambia

Extension of the TAMSAT Satellite-Based Rainfall Monitoring over Africa and from 1983 to Present

Evaluation and comparison of satellite-based rainfall products in Burkina Faso, West Africa

Contact Info

Product

Resources

About