Comparing high-resolution gridded precipitation data with satellite rainfall estimates of TRMM-3B42 over Iran

Advances in Geosciences

Volumn 25, Issue , 2010, Pages 119-125

  Javanmard, S ^a,b   Yatagai, A ^a   Nodzu, M I ^a   Bodaghjamali, J ^a,b   Kawamoto, H ^a  

^a RESEARCH INSTITUTE FOR HUMANITY AND NATURE   (Japan)

^b Islamic Republic of Iran Meteorological Organization   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ANNUAL VARIATION; COMPARATIVE STUDY; DATA SET; PRECIPITATION ASSESSMENT; PRECIPITATION INTENSITY; RAINFALL; RAINGAUGE; SATELLITE DATA; SEASONAL VARIATION; SEASONALITY; SPATIAL DISTRIBUTION;

CASPIAN SEA; IRAN; ZAGROS;

EID: 77952578096     PISSN: 16807340     EISSN: 16807359     Source Type: Journal    
DOI: 10.5194/adgeo-25-119-2010     Document Type: Article

References (19)

1. Golestani Y, Noorian A. M., and Hudak, D. R.: Design considerations for the two C- and one S-band doppler weather radars in the Islamic Republic of Iran, Phys. Chem. Earth (B), 25, 10-12, 991-994, 2000.
2. Gruber, A. and Levizzani, V.: Assessment of Global Precipitation Products, A project of the World Climate Research Programme Global Energy and Water Cycle Experiment (GEWEX) radiation panel, WCRP Report No. 128, WMO/TDNo. 1430, 50 pp, 2008.
3. Huffman, G. J., Adler, R. F., Stocker, E. F., Bolvin, D. T., and Nelkin, E. J.: Analysis of TRMM 3-hourly multi-satellite precipitation estimates computed in both real and post-real time. Preprints, 12th Conf. on Satellite Meteorology and Oceanography, Long Beach, CA, Amer. Meteor. Soc., CD-ROM, P4.11, 2004.
4. Huffman G. J.: IPWG algorithm documentation for 3B42V6, 2006, available at: http://disc.gsfc.nasa.gov/precipitation/documentation/TRMM README/TRMM 3B42 readme.shtml, last access: 2009.
5. Huffman, G. J., Adler, R. F., Bolvin, D. T., Gu, G., Nelkin, E. J., Bowman, K. P., Stocker, E. F., and Wolff, D. B.: The TRMM Multi satellite Precipitation Analysis (TMPA): Quasiglobal, multiyear, combined-sensor precipitation estimates at fine scales. J. Hydrometeorol., 8, 38-55, 2007.
6. Huffman, G. J. and Bolvin, D. T.: TRMM and other data precipitation data set documentation (TRMM 3B42 3B43 doc), laboratory for atmospheres, NASA Goddard space flight center and science systems and applications, Inc., 2008, available at: ftp://meso-a.gsfc.nasa.gov/pub/trmmdocs/3B42 3B43 doc.pdf, last access: 2009.
7. Javanmard, S., Yagagai, A., Nodzu, M. I., Kawamoto, H., Jamali, J. B., Kamiguchi, K., and Arakawa, O.: Improvement of daily gridded precipitation data using synoptic observation data over Iran, Jpn. Meteorol. Soc., Spring meeting, Tsukuba, 28-31 May 2009.
8. NASDA: TRMM data users handbook, national space development agency of Japan, Earth observation center), 2001, available at: www.eorc.jaxa.jp/TRMM/ document/text/handbook e. pdf, last access: 2009.
9. Joyce, R. J., Janowiak, J. E., Arkin, P. A., and Xie, P.,: CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution, J. Hydrometeorol., 5, 487-503, 2004.
10. Mitchell, T. D. and Jones, P. D., An improved method of constructing a database of monthly climate observations and associated high-resolution grids, Int. J. Climatol., 23, 693-712, 2005.
11. New, M., Hulme, M., and Jones, P.: Representing twentieth-century space-time climate variability, Part II: Development of 1901-96 monthly grids of terrestrial surface climate, J. Climate, 1 (3), 2217-2238, 2000.
12. Schulz, J., Albert, P., Behr, H.-D., Caprion, D., Deneke, H., Dewitte, S., Dürr, B., Fuchs, P., Gratzki, A., Hechler, P., Hollmann, R., Johnston, S., Karlsson, K.-G., Manninen, T., Müller, R., Reuter, M., Riihelä, A., Roebeling, R., Selbach, N., Tetzlaff, A., Thomas, W., Werscheck, M., Wolters, E., and Zelenka, A.: Operational climate monitoring from space: the EUMETSAT Satellite Application Facility on Climate Monitoring (CM-SAF), Atmos. Chem. Phys., 9, 1687-1709, doi:10.5194/acp-9-1687-2009, 2009.
13. Shepard, D.: A two dimensional interpolation function for irregularly spaced data, Proc. 23th National Conf. of the Assoc. for Computing Machinery, Princeton, NJ, ACM, 517-524, 1968.
14. Schneider, U., Fuchs, T., Meyer-Christoffer, A., and Rudolf, B.: Global precipitation products of the Global Precipitation Cetre (GPCC), Deutscher Wetterdienst, Offenbach a. M., Germany, 2008.
15. Sorooshian, S., Hsu, K. L., Gao, X., Gupta, H. V., Imam, B., and Braithwaite, D.: Evaluation of PERSIANN system satellitebased estimates of tropical rainfall, B. Am. Meteorol. Soc., 81, 2035-2046, 2000.
16. Turk, F. J, Ebert, E. E., Sohn, B. J., Oh, H. J., Levizzani, V., Smith, E. A., and Ferraro, R.: Validation of an operational global precipitation analysis at short time scales. Preprints, 12th Conf. on Satellite Meteorol. and Oceanography, Long Beach, CA, Am. Meteorol. Soc., CD-ROM, J1. 2, 2004.
17. Xie, P., Yatagai, A., Chen, M., Hayasaka, T., Fukushima, Y., Liu, C., and Yang, S.: A gauge-based analysis of daily precipitation over East Asia, J. Hydrometeorol., 8, 607-626, 2007.
18. Yatagai, A., Xie, P., and Alpert, P: Development of a daily gridded precipitation data for the middle east, Adv. Geosci., 12, 165-170, 2008, http://www.adv-geosci.net/12/165/2008/.
19. Yatagai, A., Arakawa, O., Kamiguchi K., Kawamoto H., Nodzu, M. I., and Hamada, A.: A 44-year daily gridded precipitation dataset for Asia based on a dense network of rain gauges, SOLA, 5, 137-140, 2009.