Evaluation of CMORPH precipitation products at fine space-time scales

Journal of Hydrometeorology

Volumn 10, Issue 1, 2009, Pages 300-307

  Zeweldi, Dawit A ^a   Gebremichael, Mekonnen ^a  

^a UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE PREDICTION; ERROR ANALYSIS; OBSERVATIONAL METHOD; PERFORMANCE ASSESSMENT; PRECIPITATION (CLIMATOLOGY); RADAR; RAINFALL; SATELLITE IMAGERY; SMOOTHING; SPATIAL VARIATION; WATERSHED; WEATHER FORECASTING;

NORTH AMERICA; OKLAHOMA [UNITED STATES]; UNITED STATES;

EID: 65349178293     PISSN: 1525755X     EISSN: None     Source Type: Journal    
DOI: 10.1175/2008JHM1041.1     Document Type: Article

References (15)

1. Allen, P. B., and J. W. Naney, 1991: Hydrology of the Little Washita River Watershed, Oklahoma: Data and analyses. U.S. Department of Agriculture, Agricultural Research Service, Tech. Rep. ARS-90, 74 pp.
2. Arkin, P. A., J. Turk, and E. Ebert, cited 2008: Pilot Evaluation of High Resolution Precipitation Products (PEHRPP): A contribution to GPM planning. [Available online at www.radar.aero.osakafu-u.ac.jp/~gsmap/ IPWG/PEHRPP.pdf.]
3. Ebert, E. E., J. E. Janowiak, and C. Kidd, 2007: Comparison of near-real-time precipitation estimates from satellite observations and numerical models. Bull. Amer. Meteor. Soc., 88, 47-64.
4. Fulton, R. A., J. P. B. Breidenbach, D. J. Seo, D. A. Miller, and T. O'Bannon, 1998: The WSR-88D rainfall algorithm. Wea. Forecasting, 13, 377-395.
5. Gebremichael, M., and W. F. Krajewski, 2004: Assessment of the statistical characterization of small-scale rainfall variability from radar: Analysis of TRMM ground validation datasets. J. Appl. Meteor., 43, 1180-1199.
6. Gebremichael, M., W. F. Krajewski, M. Morrissey, G. Huffman, and R. Adler, 2005: A detailed evaluation of GPCP one-degree daily rainfall estimates over the Mississippi River basin. J. Appl. Meteor., 44, 665-681.
7. Gebremichael, M., E. R. Vivoni, C. J. Watts, and J. C. Rodriguez, 2007: Submesoscale spatiotemporal variability of North American monsoon rainfall over complex terrain. J. Climate, 20, 1751-1773.
8. Hossain, F., and G. J. Huffman, 2008: Investigating error metrics for satellite rainfall data at hydrologically relevant scales. J. Hydrometeor., 9, 563-575.
9. 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.
10. Krajewski, W. F., and J. A. Smith, 2002: Radar hydrology: Rainfall estimation. Adv. Water Resour., 25, 1387-1394.
11. McCollum, J. R., W. F. Krajewski, R. R. Ferraro, and M. B. Ba, 2002: Evaluation of biases of satellite rainfall estimation algorithms over the continental United States. J. Appl. Meteor., 41, 1065-1080.
12. Rosenfeld, D., and Y. Mintz, 1988: Evaporation of rain falling from convective clouds as derived from radar measurements. J. Appl. Meteor., 27, 209-215.
13. Scofield, R. A., 1987: The NESDIS operational convective precipitation estimation technique. Mon. Wea. Rev., 115, 1773-1793.
14. Steiner, M., T. L. Bell, Y. Zhang, and E. F. Wood, 2003: Comparison of two methods for estimating the sampling-related uncertainty of satellite rainfall averages based on a large radar dataset. J. Climate, 16, 3759-3778.
15. Tian, Y., C. D. Peters-Lidard, B. J. Chaudhury, and M. Garcia, 2007: Multitemporal analysis of TRMM-based satellite precipitation products for land data assimilation applications. J. Hydrometeor., 8, 1165-1183.