Evaluating the performance of ground-based and remotely sensed near real-time rainfall fields from a hydrological perspective;Evaluation des performances dans une perspective hydrologique de champs de pluie en temps quasi-réel basés sur des données observées au sol et par télédétection

Hydrological Sciences Journal

Volumn 55, Issue 4, 2010, Pages 497-511

  Ghile, Yonas ^a   Schulze, Roland ^b   Brown, Casey ^a  

^a University of Massachusetts   (United States)

^b UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

ACRU; Merged field; Radar; Raingauge; Satellite; Streamflow

Indexed keywords

ACRU; AS-SOILS; CURRENT STATUS; GROUND BASED; HYDROLOGICAL RESPONSE; HYDROLOGICAL SIMULATIONS; MERGED FIELD; RADAR NETWORK; RAIN GAUGES; RAINFALL FIELDS; REAL-TIME FORECASTING; RESERVOIR INFLOW; SATELLITE IMAGES; SATELLITE INFORMATION; SOUTH AFRICA; STATE VARIABLES; WEATHER SERVICES;

ACOUSTIC SURFACE WAVE DEVICES; CATCHMENTS; COMPUTER SIMULATION; MOISTURE DETERMINATION; RADAR; RAIN; REAL VARIABLES; REMOTE SENSING; SATELLITES; SOIL MOISTURE; STREAM FLOW; WEATHER FORECASTING;

RESERVOIRS (WATER);

COMPUTER SIMULATION; FLOW MODELING; GROUND-BASED MEASUREMENT; HYDROLOGICAL MODELING; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; PRECIPITATION ASSESSMENT; PRECIPITATION INTENSITY; RAINFALL; RAINGAUGE; REAL TIME; REMOTE SENSING; RESERVOIR; SATELLITE DATA; SOIL MOISTURE; STREAMFLOW; TREND ANALYSIS;

KWAZULU-NATAL; MGENI RIVER; SOUTH AFRICA;

EID: 78649759374     PISSN: 02626667     EISSN: 21503435     Source Type: Journal    
DOI: 10.1080/02626667.2010.481374     Document Type: Article

References (24)

1. Curtis, D. C. & Humphery, J. H. (1995) Use of radar-rainfall estimates to model the January 9-10, 1995 floods in Sacramento, CA. Paper presented at the 1995 Southwest Association of ALERT Systems Conference, (Tulsa, OK, USA).
2. Deyzel, I. T. H., Pegram, G. G. S., Visser, P. J. M. & Dicks, D. (2004) Spatial Interpolation and Mapping of Rainfall (SIMAR), vol. 2: Radar and Satellite Products. WRC Report no. 1152/1/04. Water Research Commission, Pretoria, RSA.
3. ESRI (2005) GIS and Mapping Software. ESRI® ArcMAP™ 8.2, Copyright © 1995-2007 ESRI, USA.
4. Jordan, P., Seed, A. & Weinmann, P. E. (2000) Errors in radar measurements of rainfall. In: Proc. Hydro 2000 - Third Int. Hydrology and Water Resources Symp. (Perth, Australia), 421-426.
5. Jordan, P., Seed, A., May, P. & Keenan, T. (2004) Evaluation of dual polarization radar for rainfall-runoff modelling - a case study in Sydney, Australia. Paper presented at: Sixth Int. Symp. on Hydrological Applications of Weather Radar, (Melbourne, Australia, 2-4 February 2004).
6. Kamarianakis, Y., Chrysoulakis, N. & Feidas, H. (2006) Comparing rainfall estimates derived from raingauges and satellite images at the eastern Mediterranean region. Paper presented at: Ninth AGILE Conf. on Geographic Information Science (Visegràd, Hungary).
7. Kroese, N. J. (2004) Spatial Interpolation and Mapping of Rainfall (SIMAR), vol. 1: Maintenance and Upgrading of Radar and Raingauge Infrastructure. WRC Report no. 1151/1/04. Water Research Commission, Pretoria, RSA.
8. Laurent, H., Jobard, I. & Toma, A. (1998) Validation of satellite and ground based estimates of precipitation over the Sahel. Atmospheric Research 47-48, 651-670.
9. Pappenberger, F., Beven, K. J., Hunter, N. M., Bates, P. D., Gouweleeuw, B. T., Thielen, J. & De Roo, A. P. J. (2005) Cascading model uncertainty from medium range weather forecasts (10 days) through a rainfall-runoff model to flood inundation predictions within the European flood forecasting system (EFFS). Hydrol. Earth System Sci. 9, 381-393.
10. Pegram, G. G. S (2004) Spatial Interpolation and Mapping of Rainfall (SIMAR), vol. 3: Data Merging for Rainfall Map Production. WRC Report no. 1153/1/04. Water Research Commission, Pretoria, RSA.
11. Pegram, G. G. S., Deyzel, I. T. H., Sinclair, S., Visser, P., Terblanche,D. & Green, G. C. (2004) Daily mapping of 24 hr rainfall at pixel scale over South Africa using satellite, radar and raingauge data. In: Second Int. Precipitation Working Group (IPWG) Workshop (Naval Research Laboratory, Monterey, CA, USA, 25-28 October 2004).
12. Piccolo, F. & Chirico, G. B. (2005) Sampling errors in rainfall measurements by weather radar. Adv. in Geosci. 2, 151-155.
13. Sibson, R. (1981) A brief description of natural neighbor interpolation. Ch. 2 in: Interpolating Multivariate Data, New York: John Wiley & Sons, Inc., 21-36 (cited by ESRI, 2005).
14. Schäfer, N.W.& van Rooyen, P. G. (1993) Operational applications of the Mgeni systems analysis. In:. Proc. Sixth South African National Hydrological Symp. (University of Natal, Pietermaritzburg, RSA, 8-10 September, 1993) (ed. by S. A. Lorentz, S. W. Kienzle & M. C. Dent), 385-394.
15. Schulze, R. E. (1995) Hydrology and Agrohydrology. A Text to Accompany the ACRU 3.00 Agrohydrological Modelling System. WRC Report no. TT69/95, Ch.1, AT1-1 to AT1-13, Water Research Commission, Pretoria, RSA.
16. Schulze, R. E. (1997) Impacts of global climate change in a hydrologically vulnerable region: challenges to South African hydrologists. Progr. Phys. Geogr. 21, 113-116.
17. Schulze, R. E. (2006) South African Atlas of Climatology and Agrohydrology. WRC Report no. 1489/1/06, Water Research Commission, Pretoria, RSA.
18. Schulze, R. E. & Perks, L. A. (2000) Assessment of the Climate Change on Hydrology and Water Resources in South Africa. ACRUcons Report no. 33. School of Bioresources Engineering and Environmental Hydrology, University of KwaZulu-Natal, Pietermaritzburg, RSA.
19. Schulze, R. E. & Smithers, J. C. (2004) The ACRU agrohydrological modelling system as of 2002: background, concepts, structure, output, typical applications and operations. WRC Report no. 749/1/04, Water Research Commission, Pretoria, RSA.
20. Schulze, R. E., Lorentz, S. A., Kienzle, S. W. & Perks, L. A. (2004) Case Study 3: Modelling the impacts of land-use and climate change on hydrological responses in the mixed underdeveloped/ developed Mgeni catchment South Africa. In: Vegetation,Water, Humans and the Climate. A New Perspective on an Interactive System (ed. by P. Kabat, M. Claussen, P.A. Dirmeyer, J. H. C. Gash, L. Bravo deGuenni, M. Meybeck, R. A. Pielke Snr., C. J. Vörösmarty, R. W. A. Hutjes & S. L}utkemeier), Chapter D7, 441-453. Heidelberg: Springer-Verlag.
21. Sun, X., Mein, R. G., Keenan, T. D. & Elliott, J. F. (2000) Flood estimation using radar and raingauge data. J. Hydrol. 239, 4-18.
22. Van Zyl, D. (2003) South African Weather and Atmospheric Phenomena. Cape Town: Creda.
23. Wilks, D. S. (1995) Statistical Methods in the Atmospheric Sciences. San Diego, CA: Academic Press.
24. Yucel, I., Kuligowski, R. J. & Gochis D. J. (2004) Evaluating the performance of satellite rainfall estimates using data from NAME program. In: Proc. 29th Annual Climate Diagnostics and PredictionWorkshop, (Madison,WI,USA. 20-24October 2004).