Combining CMORPH and rain gauges observations over the Rio Negro basin

Journal of Hydrometeorology

Volumn 13, Issue 6, 2012, Pages 1799-1809

  De Vera, Alejandra ^a   Terra, Rafael ^a  

^a UNIVERSIDAD DE LA REPÚBLICA   (Uruguay)

Author keywords

Hydrometeorology

Indexed keywords

ALGORITHM; HYDROMETEOROLOGY; PROBABILITY; RAINGAUGE; SATELLITE DATA; SPATIAL ANALYSIS;

RIO NEGRO BASIN; URUGUAY;

EID: 84875002826     PISSN: 1525755X     EISSN: 15257541     Source Type: Journal    
DOI: 10.1175/JHM-D-12-010.1     Document Type: Article

References (13)

1. Adler, R. F., and Coauthors, 2003: The Version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979-present). J. Hydrometeor., 4, 1147-1167.
2. Déqué , M., 2007: Frequency of precipitation and temperature extremes over France in an anthropogenic scenario: Model results and statistical correction according to observed values. Global Planet. Change, 57, 16-26.
3. Huffman, G. J., and Coauthors, 1997: The Global Precipitation Climatology Project (GPCP) combined precipitation dataset. Bull. Amer. Meteor. Soc., 78, 5-20.
4. Joyce, R. J., J. E. Janowiak, P. A. Arkin, and P. Xie, 2004: CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J. Hydrometeor., 5, 487-503.
5. Krajewski, W. F., 1987: Cokriging radar-rainfall and rain gage data. J. Geophys. Res., 92 (D8), 9571-9580.
6. Panofsky, H. A., and G. W. Brier, 1958: Some Applications of Statistics to Meteorology. Pennsylvania State University Press, 224 pp.
7. Rozante, J. R., S. M. Demerval, L. G. G. de Goncalves, and D. A. Vila, 2010: Combining TRMM and surface observations of precipitation: Technique and validation over South America. Wea. Forecasting, 25, 885-894.
8. Ruiz, J. J., 2009: Evaluació n de diferentes metodologías para la calibración de las estimaciones de precipitación CMORPH sobre Sudamé rica. Rev. Bras. Meteor., 24, 473-488.
9. Seo, D. J., and J. P. Breidenbach, 2002: Real-time correction of spatially nonuniform bias in radar rainfall data using rain gauge measurements. J. Hydrometeor., 3, 93-111.
10. Vila, D. A., L. G. G. de Goncalvez, D. L. Toll, and J. R. Rozante, 2009: Statistical evaluation of combined daily gauge observations and rainfall satellite estimates over continental South America. J. Hydrometeor., 10, 533-543.
11. Wilks, D. S., 2006: Statistical Methods in the Atmospheric Sciences. 2nd ed. Academic Press, 627 pp.
12. Xie, P., and A.-Y. Xiong, 2011:Aconceptualmodel for constructing high-resolution gauge-satellite merged precipitation analyses. J. Geophys. Res., 116, D21106, doi:10.1029/2011JD016118.
13. Xie, P., J. E. Janowiak, P. A. Arkin, R. Adler, A. Gruber, R. Ferraro, G. J. Huffman, and S. Curtis, 2003: GPCP pentad precipitation analyses: An experimental dataset based on gauge observations and satellite estimates. J. Climate, 16, 2197- 2214.