The global precipitation measurement mission

Bulletin of the American Meteorological Society

Volumn 95, Issue 5, 2014, Pages 701-722

  Hou, Arthur Y ^a   Kakar, Ramesh K ^b   Neeck, Steven ^b   Azarbarzin, Ardeshir A ^a   Kummerow, Christian D ^c   Kojima, Masahiro ^d   Oki, Riko ^d   Nakamura, Kenji ^e   Iguchi, Toshio ^f  

^a NASA GODDARD SPACE FLIGHT CENTER   (United States)

^b NASA HEADQUARTERS   (United States)

^c Engineering Research Center and Hydraulics Laboratory   (United States)

^d JAPAN AEROSPACE EXPLORATION AGENCY   (Japan)

^e DOKKYO UNIVERSITY   (Japan)

^f NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

NASA; OBSERVATORIES; PRECIPITATION (METEOROLOGY); SENSORS;

DUAL-FREQUENCY PHASED ARRAYS; GLOBAL PRECIPITATION MEASUREMENT MISSIONS; MEASUREMENT RANGE; MICROWAVE IMAGERS; PRECIPITATION MEASUREMENT; PRECIPITATION RADAR; SENSOR PACKAGES; SUBTROPICAL OCEAN;

RAIN GAGES;

EID: 84897665733     PISSN: 00030007     EISSN: None     Source Type: Journal    
DOI: 10.1175/BAMS-D-13-00164.1     Document Type: Article

References (89)

1. Andreae, M. O., D. Rosenfeld, P. Artaxo, A. A. Costa, G. P. Frank, K. M. Longo, and M. A. F. Silva-Dias, 2004: Smoking rain clouds over the Amazon. Science, 303, 1337-1341.
2. Aonashi, K., N. Yamazaki, H. Kamahori, and K. Takahashi, 2004: Variational assimilation of TMI rain type and precipitation retrievals into global numerical weather prediction. J. Meteor. Soc. Japan, 82, 671-693.
3. Asrar, G., J. Kaye, and P. Morel, 2001: NASA research strategy for Earth system science: Climate component. Bull. Amer. Meteor. Soc., 82, 1309-1329.
4. Avissar, R., and D. Werth, 2005: Global hydroclima-tological teleconnections resulting from tropical deforestation. J. Hydrometeor., 6, 134-145.
5. Back, L. E., and C. S. Bretherton, 2006: Geographic variability in the export of moist static energy and vertical motion profiles in the tropical Pacific. Geophys. Res. Lett., 33, L17810, doi:10.1029/2006GL026672.
6. Bauer, P., P. Lopez, D. Salmond, A. Benedetti, S. Saarinen, and M. Bonazzola, 2006: Implementation of 1D+4D-var assimilation of precipitation-affected microwave radiances at ECMWF. II: 4D-Var. Quart. J. Roy. Meteor. Soc., 132A, 2307-2332.
7. Bell, T. L., D. Rosenfeld, K.-M. Kim, J.-M. Yoo, M.-I. Lee, and M. Hahnenberger, 2008: Midweek increase in U. S. summer rain and storm heights suggests air pollution invigorates rainstorms. J. Geophys. Res., 113, D02209, doi:10.1029/2007JD008623.
8. Bhatt, C. B., and K. Nakamura, 2005: Characteristics of monsoon rainfall around the Himalayas revealed by TRMM precipitation radar. Mon. Wea. Rev., 133, 149-165.
9. Bindlish, R., and A. Barros, 2000: Disaggregation of rainfall for one-way coupling of atmospheric and hydrological models in regions of complex terrain. Global Planet. Change, 25, 111-132.
10. Bunin, S. L., D. Holmes, T. Schott, and H. J. Silva, 2004: NOAA/NESDIS preparation for the NPOESS era. Preprints, 20th Int. Conf. on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, Seattle, WA, Amer. Meteor. Soc., 16.5. [Available online at https://ams.confex.com/ams/84Annual/techprogram/paper-73182.htm.]
11. Cherny, I. V., G. Chernyavsky, V. Nakonechny, and S. Pantsov, 2002: Spacecraft "Meteor-3M" Microwave I m ager/S ou nder MT VZ A: First results. Proc. IGA RSS'02, Vol. 5, Toronto, ON, Canada, IEEE, 2660-2662.
12. Cotton, W. R., and R. A. Pielke, 2007: Human Impacts on Weather and Climate. 2nd ed. Cambridge University Press, 308 pp.
13. Dabberdt, W., and Coauthors, 2005: Multifunctional mesoscale observing networks. Bull. Amer. Meteor. Soc., 86, 961-982.
14. Del Genio, A. D., W. Kovari, M.-S. Yao, and J. Jonas, 2005: Cumulus microphysics and climate sensitivity. J. Climate, 18, 2376-2387.
15. Desbois, M., R. Roca, L. Eymard, N. Viltard, M. Viollier, J. Srinivasan, and S. Narayanan, 2003: The Megha-Tropiques mission. Atmospheric and Oceanic Processes, Dynamics, and Climate Change, Z. Sun, F.-F. Jin, and T. Iwasaki, Eds., International Society for Optical Engineering (SPIE Proceedings, Vol. 4899), 172-183, doi:10.1117/12.466703.
16. Edward, P., and D. Pawlak, 2000: MetOp: The space segment for EUMETSAT's polar system. ESA Bull., 102, 6-18.
17. Evans, K. F., J. Turk, T. Wong, and G. Stephens, 1995: A Bayesian approach to microwave precipitation profile retrieval. J. Appl. Meteor., 34, 260-279.
18. Fekete, B., C. Vörösmarty, J. Roads, and C. Willmott, 2004: Uncertainties in precipitation and their impacts on runoff estimates. J. Climate, 17, 294-304.
19. Futrel, J. H., and Coauthors 2005: Water: Challenges at the intersection of human and natural systems. NSF/DOE Tech. Rep. PNWD-3597, 50 pp, doi:10.2172/1046481.
20. GPM, cited 2013: Precipitation measurement missions. Global Precipitation Measurement Program, NASA. [Available online at http://gpm.nasa.gov/.]
21. GPM ATBD, cited 2013: Global Precipitation Measurement algorithm theoretical basis documents. [Available online at http://pps.gsfc.nasa.gov/atbd. html.]
22. Grecu, M., and W. S. Olson, 2006: Bayesian estimation of precipitation from satellite passive microwave observations using combined radar-radiometer retrievals. J. Appl. Meteor. Climatol, 45, 416-433.
23. -, -, and E. Anagnostou, 2004: Retrieval of precipitation profiles from multiresolution, multifre-quency active and passive microwave observations. J. Appl. Meteor., 43, 562-575.
24. Gu, G., R. Adler, G. Huffman, and S. Curtis, 2007: Tropical rainfall variability on interannual to in-terdecadal and longer time scales derived from the GPCP monthly product. J. Climate, 20, 4033-4046.
25. Haddad, Z., E. Smith, C. Kummerow, T. Iguchi, M. Farrar, S. Durden, M. Alves, and W. Olson, 1997: The TRMM 'day-1' radar/radiometer combined rain-profiling algorithm. J. Meteor. Soc. Japan, 75, 799-809.
26. Hossain, F., and D. Lettenmaier, 2006: Flood prediction in the future: Recognizing hydrologic issues in anticipation of the Global Precipitation Measurement mission. Water Resour. Res., 42, W11301, doi:10.1029/2006WR005202.
27. Hou, A. Y., and S. Q. Zhang, 2007: Assimilation of precipitation information using column model physics as a weak constraint. J. Atmos. Sci., 64, 3865-3879.
28. -, -, and O. Reale, 2004: Variational continuous assimilation of TMI and SSM/I rain rates: Impact on GEOS-3 hurricane analyses and forecasts. Mon. Wea. Rev., 132, 2094-2109.
29. Hudak, D., H. Barker, P. Rodruguez, and D. Donovan, 2006: The Canadian CloudSat/CALIPSO Validation Project. Proc. Fourth European Conf. on Radar in Hydrology and Meteorology, Barcelona, Spain, ERAD, 609-612.
30. Huffman, G. J., R. F. Adler, M. Morrissey, D. T. Bolvin, S. Curtis, R. Joyce, B. McGavock, and J. Susskind, 2001: Global precipitation at one-degree daily resolution from multisatellite observations. J. Hydrometeor., 2, 36-50.
31. -, and Coauthors, 2007: The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, mul-tiyear, combined-sensor precipitation estimates at fine scales. J. Hydrometeor., 8, 38-55.
32. Iguchi, T., T. Kozu, R. Meneghini, J. Awaka, and K. Okamoto, 2000: Rain-profiling algorithm from the TRMM precipitation radar. J. Appl. Meteor., 39, 2038-2052.
33. Joyce, R. J., P. Xie, and J. E. Janowiak, 2011: Kalman filter-based CMORPH. J. Hydrometeor., 12, 1547-1563.
34. Kelley, O., J. Stout, and J. Halverson, 2004: Tall precipitation cells in tropical cyclones eyewalls are associated with tropical cyclone intensification. Geophys. Res. Lett., 31, L24112, doi:10.1029/2004GL021616.
35. Kidd, C., and V. Levizzani, 2011: Status of satellite precipitation retrievals. Hydrol. Earth Syst. Sci., 7, 8157-8177, doi:10.5194/hessd-8-8157- 2010.
36. -, D. R. Kniveton, M. C. Todd, and T. J. Bellerby, 2003: Satellite rainfall estimation using combined passive microwave and infrared algorithms. J. Hydrometeor., 4, 1088-1104.
37. Kirschbaum, D., R. Adler, D. Adler, C. Peters-Lidard, G. Huffman, 2012: Global distribution of extreme precipitation and high-impact landslides in 2010 relative to previous years. J. Hydrometeor., 13, 1536-1551.
38. Kubota, T., and Coauthors, 2007: Global precipitation map using satelliteborne microwave radiometers by the GSMaP project: Production and validation. IEEE Trans. Geosci. Remote Sens., 45, 2259-2275.
39. Kucera, P. A., E. E. Ebert, F. J. Turk, V. Levizzani, D. Kirschbaum, F. J. Tapiador, A. Loew, and M. Borsche, 2013: Precipitation from space advancing Earth system science. Bull. Amer. Meteor. Soc., 94, 365-375.
40. Kulie, M. S., and R. Bennartz, 2009: Utilizing space-borne radars to retrieve dry snowfall. J. Appl. Meteor. Climatol., 48, 2564-2580.
41. Kuligowski, R. J., 2002: A self-calibrating real-time GOES rainfall algorithm for short-term rainfall estimates. J. Hydrometeor., 3, 112-130.
42. Kumar, S., and Coauthors, 2006: Land Information System-An interoperable framework for high resolution land surface modeling. Environ. Modell. Software, 21, 1402-1415.
43. Kummerow, C., and L. Giglio, 1994: A passive microwave technique for estimating rainfall and vertical structure information from space. Part I: Algorithm description. J. Appl. Meteor., 33, 3-18.
44. -, W. Olson, and L. Giglio, 1996: A simplified scheme for obtaining precipitation and vertical hydrometeor profiles from passive microwave sensors. IEEE Trans. Geosci. Remote Sens., 34, 1213-1232.
45. -, W. Barnes, T. Kozu, J. Shiue, and J. Simpson, 1998: The Tropical Rainfall Measuring Mission (TRMM) sensor package. J. Atmos. Oceanic Technol., 15, 809-817.
46. -, S. Ringerud, J. Crook, D. Randel, and W. Berg, 2011: An observationally based a priori database for microwave rainfall retrievals. J. Atmos. Oceanic Technol., 28, 113-130.
47. Kunkee, D. B., G. Poe, D. Boucher, S. Swadley, Y. Hong, J. Wessl, and E. Uliana, 2008: Design and evaluation of the first Special Sensor Microwave Imager/Sounder. IEEE Trans. Geosci. Remote Sens., 46, 863-883.
48. Lau, W. K. M., and Y. P. Zhou, 2012: Observed recent trends in tropical cyclone rainfall over the North Atlantic and the North Pacific. J. Geophys. Res., 117, D03104, doi:10.1029/2011JD016510.
49. Liao, L., R. Meneghini, T. Iguchi, and A. Detwiler, 2005: Use of dual-wavelength radar for snow parameter estimates. J. Atmos. Oceanic Technol., 22, 1494-1506.
50. Mardiana, R., T. Iguchi, and N. Takahashi, 2004: A dual-frequency rain profiling method without the use of a surface reference technique. IEEE Trans. Geosci. Remote Sens., 42, 2214-2225.
51. Marécal, V., and J.-F. Mahfouf, 2003: Experiments on 4D-Var assimilation of rainfall data using an incremental formulation. Quart. J. Roy. Meteor. Soc., 129, 3137-3160.
52. Marzano, F., A. Mugnai, G. Panegrossi, N. Pierdicca, E. Smith, and J. Turk, 1999: Bayesian estimation of precipitating cloud parameters from combined measurements of spaceborne microwave radiometer a nd radar. IEEE Trans. Geosci. Remote Sens., 37, 596-613.
53. Masunaga, H., and C. Kummerow, 2005: Combined radar and radiometer analysis of precipitation profiles for a parametric retrieval algorithm. J. Atmos. Oceanic Technol., 22, 909-929.
54. -, T. S. L'Ecuyer, and C. D. Kummerow, 2006: The Madden-Julian Oscillation recorded in early observations from the Tropical Rainfall Measuring Mission (TRMM). J. Atmos. Sci., 63, 2777-2794.
55. Meneghini, R., H. Kumagai, J. R. Wang, T. Iguchi, and T. Kozu, 1997: Microphysical retrievals over stratiform rain using measurements from an airborne dual-wavelength radar-radiometer. IEEE Trans. Geosci. Remote Sens., 35, 487-506.
56. Mitchell, K., and Coauthors, 2004: The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system. J. Geophys. Res., 109, D07S90, doi:10.1029/2003JD003823.
57. Montaigne, F., 2002: National Geographic Magazine, Vol. 202(3), International Publishing, 2-33.
58. Morita, J., Y. N. Takayabu, S. Shige, and Y. Kodama, 2006: Analysis of rainfall characteristics of the Madden-Julian oscillation using TRMM satellite data. Dyn. Atmos. Oceans, 42, 107-126.
59. Mugnai, A., and Coauthors, 2007: Snowfall measurements by proposed European GPM Mission. Measuring Precipitation from Space: EURAINSAT and the Future, V. Levizzani, P. Bauer, and J. Turk, Eds., Springer-Verlag, 655-674.
60. Negri, A. J., R. F. Adler, L. Xu, and J. Surratt, 2004: The impact of Amazonian deforestation on dry season rainfall. J. Climate, 17, 1306-1319.
61. Nesbitt, S. W., E. J. Zipser, and D. J. Cecil, 2000: A census of precipitation features in the tropics using TRMM: Radar, ice scattering, and lightning observations. J. Climate, 13, 4087-4106.
62. Nijssen, B., and D. P. Lettenmaier, 2004: Effect of precipitation sampling error on simulated hydrological fluxes and states: Anticipating the Global Precipitation Measurement satellites. J. Geophys. Res., 109, D02103, doi:10.1029/2003JD003497.
63. NRC, 2005: Assessment of the Benefits of Extending the Tropical Rainfall Measuring Mission. National Academies Press, 103 pp.
64. -, 2007a: NOAA's Role in Space-Based Global Precipitation Estimation and Application. National Academies Press, 131 pp.
65. -, 2007b: Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond. National Academies Press, 428 pp.
66. -, 2010: When Weather Matters: Science and Service to Meet Critical Societal Needs. National Academies Press, 198 pp.
67. -, 2011: Global Change and Extreme Hydrology: Testing Conventional Wisdom. National Academies Press, 60 pp.
68. NSMC, cited 2013: The Storm III (FY-3) Program. National Satellite Meteorological Center, China Meteorological Administration. [Available online at www.nsmc.cma.gov. cn/newsite/NSMC-EN/Home/Index.html.]
69. NSTC, 2004: Science and technology to support fresh water availability in the United States. National Science and Technology Council, 19 pp.
70. Rodell, M., and Coauthors, 2004: The global land data assimilation system. Bull. Amer. Meteor. Soc., 85, 381-394.
71. Rose, C., and V. Chandrasekar, 2006: A GPM dual-frequency retrieval algorithm: DSD profile-optimization method. J. Atmos. Oceanic Technol., 23, 1372-1383.
72. Rosenfeld, D., Y. Rudich, and R. Lahav, 2001: Desert dust suppressing precipitation: A possible desertification feedback loop. Proc. Natl. Acad. Sci. USA, 98, 5975-5980.
73. Shepherd, J. M., H. Pierce, and A. Negri, 2002: Rainfall modification by major urban areas: Observations from spaceborne rain radar on the TRMM satellite. J. Appl. Meteor., 41, 689-701.
74. Shige, S., Y. N. Takayabu, W.-K. Tao, and C.-L. Shie, 2007: Spectral retrieval of latent heating profiles from TRMM PR data. Part II: Algorithm improvement and heating estimates over tropical ocean regions. J. Appl. Meteor. Climatol., 46, 1098-1124.
75. Shimoda, H., 2005: GCOM missions. Proc. IGARSS '05, Vol. 6, IEEE, Seoul, South Korea, 4201-4204.
76. Simpson, J., J. Halverson, B. Ferrier, W. Petersen, R. Simpson, R. Blakeslee, and S. Durden, 1998: On the role of "hot towers" in tropical cyclone formation. Meteor. Atmos. Phys., 67, 15-35.
77. Sorooshian, S., K.-L. Hsu, X. Gao, H. V. Gupta, B. Imam, and D. Braithwaite, 2000: Evaluation of PERSIANN system satellite-based estimates of tropical rainfall. Bull. Amer. Meteor. Soc., 81, 2035-2046.
78. Tao, W.-K., S. Lang, X. Zeng, S. Shige, and Y. Takayabu, 2010: Relating convective and stratiform rain to latent heating. J. Climate, 23, 1874-1893.
79. Trenberth, K., L. Smith, T. Qian, A. Dai, and J. Fasullo, 2007: Estimates of the global water budget and its annual cycle using observational and model data. J. Hydrometeor., 8, 758-769.
80. Turk, F. J., and S. D. Miller, 2005: Toward improved characterization of remotely sensed precipitation Regimes with MODIS/AMSR-E blended data techniques. geoscience and remote sensing. IEEE Trans. Geosci. Remote Sens., 43, 1059-1069, doi:10.1109/TGRS.2004.841627.
81. Ushio, T., and Coauthors, 2009: A Kalman filter approach to the Global Satellite Mapping of Precipitation (GSMaP) from combined passive microwave and infrared radiometric data. J. Meteor. Soc. Japan, 87A, 137-151.
82. Vasiloff, S. V., and Coauthors, 2007: Improving QPE and very short term QPF: An initiative for a community-wide integrated approach. Bull. Amer. Meteor. Soc., 88, 1899-1911.
83. Wall, C. L., E. J. Zipser, and C. T. Liu, 2012: A regional climatology of monsoonal precipitation in the southwestern United States using TRMM. J. Hydrometeor., 13, 310-323.
84. Wang, J., R. Bras, and E. Eltahir, 2000: The impact of observed deforestation on the mesoscale distribution of rainfall and clouds in Amazonia. J. Hydrometeor., 1, 267-286.
85. Wilheit, T., 2013: Comparing calibrations of similar conically scanning window-channel microwave radiometers. IEEE Trans. Geosci. Remote Sens., 51, 1454-1464, doi:10.1109/TGRS.2012.2207122.
86. Wu, H., R. F. Adler, Y. Hong, Y. D. Tian, and F. Policelli, 2012: Evaluation of global flood detection using satellite-based rainfall and a hydrologic model. J. Hydrometeor., 13, 1268-1284.
87. Zhang, S., M. Zupanski, A. Hou, X. Lin, and S. Cheung, 2013: Assimilation of precipitation-affected radiances in cloud-resolving WRF ensemble data assimilation system. Mon. Wea. Rev., 141, 754-772.
88. Zupanski, D., S. Zhang, M. Zupanski, A. Hou, and S. Cheung, 2010: A prototype WRF-based ensemble data assimilation system for dynamically downscaling satellite precipitat ion obser vations. J. Hydrometeor., 12, 118-134.
89. Zupanski, M., D. Zupanski, D. Parrish, E. Rogers, and G. DiMego, 2002: Four-dimensional variational data assimilation for the blizzard of 2000. Mon. Wea. Rev., 130, 1967-1988.