Climate Dynamics

, Volume 29, Issue 7–8, pp 727–744 | Cite as

The frequency, intensity, and diurnal cycle of precipitation in surface and satellite observations over low- and mid-latitudes

  • Aiguo DaiEmail author
  • Xin Lin
  • Kuo-Lin Hsu


Global precipitation data sets with high spatial and temporal resolution are needed for many applications, but they were unavailable before the recent creation of several such satellite products. Here, we evaluate four different satellite data sets of hourly or 3-hourly precipitation (namely CMORPH, PERSIANN, TRMM 3B42 and a microwave-only product referred to as MI) by comparing the spatial patterns in seasonal mean precipitation amount, daily precipitation frequency and intensity, and the diurnal and semidiurnal cycles among them and with surface synoptic weather reports. We found that these high-resolution products show spatial patterns in seasonal mean precipitation amount comparable to other monthly products for the low- and mid-latitudes, and the mean daily precipitation frequency and intensity maps are similar among these pure satellite-based precipitation data sets and consistent with the frequency derived using weather reports over land. The satellite data show that spatial variations in mean precipitation amount come largely from precipitation frequency rather than intensity, and that the use of satellite infrared (IR) observations to improve sampling does not change the mean frequency, intensity and the diurnal cycle significantly. Consistent with previous studies, the satellite data show that sub-daily variations in precipitation are dominated by the 24-h cycle, which has an afternoon–evening maximum and mean-to-peak amplitude of 30–100% of the daily mean in precipitation amount over most land areas during summer. Over most oceans, the 24-h harmonic has a peak from midnight to early morning with an amplitude of 10–30% during both winter and summer. These diurnal results are broadly consistent with those based on the weather reports, although the time of maximum in the satellite precipitation is a few hours later (especially for TRMM and PERSIANN) than that in the surface observations over most land and ocean, and it is closer to the phase of showery precipitation from the weather reports. The TRMM and PERSIANN precipitation shows a spatially coherent time of maximum around 0300–0600 local solar time (LST) for a weak (amplitude <20%) semi-diurnal (12-h) cycle over most mid- to high-latitudes, comparable to 0400–0600 LST in the surface data. The satellite data also confirm the notion that the diurnal cycle of precipitation amount comes mostly from its frequency rather than its intensity over most low and mid-latitudes, with the intensity has only about half of the strength of the diurnal cycle in the frequency and amount. The results suggest that these relatively new precipitation products can be useful for many applications.


Diurnal Cycle Precipitation Amount Precipitation Frequency Satellite Product Local Solar Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The National Center for Atmospheric Research is sponsored by the National Science Foundation. This work was partly supported by NASA Grant No. NNX07AD77G and NCAR’s Water Cycle Program.


  1. Adler RF, Huffman GJ, Chang A, Ferraro R, Xie P, Janowiak J, Rudolf B, Schneider U, Curtis S, Bolvin D, Gruber A, Susskind J, Arkin P, Nelkin E (2003) The version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979-present). J Hydrometeorol 4:1147–1167CrossRefGoogle Scholar
  2. Bowman KP, Collier JC, North GR, Wu QY, Ha EH, Hardin J (2005) Diurnal cycle of tropical precipitation in Tropical Rainfall Measuring Mission (TRMM) satellite and ocean buoy rain gauge data. J Geophys Res 110:D21104, doi:21110.21029/22005JD005763Google Scholar
  3. Carbone RE, Tuttle JD, Ahijevych DA, Trier SB (2002) Inferences of predictability associated with warm season precipitation episodes. J Atmos Sci 59:2033–2056CrossRefGoogle Scholar
  4. Chang ATC, Chiu LS, Yang G (1995) Diurnal cycle of oceanic precipitation from SSM/I data. Mon Weather Rev 123:3371–3380CrossRefGoogle Scholar
  5. Dai A (2001a) Global precipitation and thunderstorm frequencies. Part I: seasonal and interannual variations. J Clim 14:1092–1111CrossRefGoogle Scholar
  6. Dai A (2001b) Global precipitation and thunderstorm frequencies. Part II: diurnal variations. J Clim 14:1112–1128CrossRefGoogle Scholar
  7. Dai A (2006) Precipitation characteristics in eighteen coupled climate models. J Clim 19:4605–4630CrossRefGoogle Scholar
  8. Dai A, Deser C (1999) Diurnal and semidiurnal variations in global surface wind and divergence fields. J Geophys Res 104:31109–31125CrossRefGoogle Scholar
  9. Dai A, Fung IY, Del Genio AD (1997) Surface observed global land precipitation variations during 1900–88. J Clim 10:2943–2962CrossRefGoogle Scholar
  10. Dai A, Giorgi F, Trenberth KE (1999) Observed and model-simulated diurnal cycles of precipitation over the contiguous United States. J Geophys Res Atmos 104:6377–6402CrossRefGoogle Scholar
  11. Fujinami H, Nomura S, Yasunari T (2005) Characteristics of diurnal variations in convection and precipitaiton over the southern Tibetan Plateau during summer. SOLA 1:49–52CrossRefGoogle Scholar
  12. Hamilton K (1981) A note on the observed diurnal and semi-diurnal rainfall variations. J Geophys Res 86:2122–2126Google Scholar
  13. Higgins WR, Janowiak JE, Yao Y-P (1996) A gridded hourly precipitation database for the United States (1963-1993). NCEP/Climate Prediction Center Atlas No. 1: US Department of Commerce, 47 ppGoogle Scholar
  14. Hong Y, Hsu KL, Sorooshian S, Gao XG (2005) Improved representation of diurnal variability of rainfall retrieved from the Tropical Rainfall Measurement Mission Microwave Imager adjusted Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks (PERSIANN) system. J Geophys Res 110:D06102, 06110.01029/02004JD005301Google Scholar
  15. Hsu KL, Gao XG, Sorooshian S, Gupta HV (1997) Precipitation estimation from remotely sensed information using artificial neural networks. J Appl Meteorol 36:1176–1190CrossRefGoogle Scholar
  16. Huffman GJ, Adler RF, Morrissey MM, Bolvin DT, Curtis S, Joyce R, McGavock B, Susskind J (2001) Global precipitation at one-degree daily resolution from multisatellite observations. J Hydrometeorol 2:36–50CrossRefGoogle Scholar
  17. Huffman GJ, Adler RF, Bolvin DT, Gu GJ, Nelkin EJ, Bowman KP, Hong Y, Stocker EF, Wolff DB (2007) The TRMM multisatellite precipitation analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J Hydrometeorol 8:38–55CrossRefGoogle Scholar
  18. Janowiak JE, Arkin PA, Morrissey M (1994) An examination of the diurnal cycle in oceanic tropical rainfall using satellite and in situ data. Mon Weather Rev 122:2296–2311CrossRefGoogle Scholar
  19. Joyce RJ, Janowiak JE, Arkin PA, Xie PP (2004) CMORPH: a method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J Hydrometeorol 5:487–503CrossRefGoogle Scholar
  20. Liang XZ, Li L, Dai A, Kunkel KE (2004) Regional climate model simulation of summer precipitation diurnal cycle over the United States. Geophys Res Lett 31:L24208, doi:24210.21029/22004GL021054Google Scholar
  21. Lin X, Randall DA, Fowler LD (2000) Diurnal variability of the hydrologic cycle and radiative fluxes: comparisons between observations and a GCM. J Clim 13:4159–4179CrossRefGoogle Scholar
  22. Nesbitt SW, Zipser EJ (2003) The diurnal cycle of rainfall and convective intensity according to three years of TRMM measurements. J Clim 16:1456–1475Google Scholar
  23. New M, Todd M, Hulme M, Jones P (2001) Precipitation measurements and trends in the twentieth century. Int J Climatol 21:1899–1922CrossRefGoogle Scholar
  24. Oki T, Musiake K (1994) Seasonal change of the diurnal cycle of precipitation over Japan and Malaysia. J Appl Meteorol 33:1445–1463CrossRefGoogle Scholar
  25. Okumura K, Satomura T, Oki T, Khantiyanan W (2003) Diurnal variation of precipitation by moving mesoscale systems: radar observations in northern Thailand. Geophys Res Lett 30:2073, doi:2010.1029/2003GL018302Google Scholar
  26. Pinker RT, Zhao Y, Akoshile C, Janowiak J, Arkin P (2006) Diurnal and seasonal variability of rainfall in the sub-Sahel as seen from observations, satellites and a numerical model. Geophys Res Lett 33:L07806, doi:07810.01029/02005GL025192Google Scholar
  27. Sorooshian S, Hsu K-L, Gao X, Gupta HV, Imam B, Braithwaite D (2000) Evaluation of PERSIANN system satellite-based estimates of tropical rainfall. Bull Am Meteorol Soc 81:2035–2046CrossRefGoogle Scholar
  28. Sorooshian S, Gao X, Maddox RA, Hong Y, Imam B (2002) Diurnal variability of tropical rainfall retrieved from combined GOES and TRMM satellite information. J Clim 15:983–1001CrossRefGoogle Scholar
  29. Trier SB, Parsons DB (1993) Evolution of environmental-conditions preceding the development of a nocturnal mesoscale convective complex. Mon Weather Rev 121:1078–1098CrossRefGoogle Scholar
  30. Wallace JM (1975) Diurnal variations in precipitation and thunderstorm frequency over conterminous United States. Mon Weather Rev 103:406–419CrossRefGoogle Scholar
  31. Wang CC, Chen GTJ, Carbone RE (2004) A climatology of warm-season cloud patterns over east Asia based on GMS infrared brightness temperature observations. Mon Weather Rev 132:1606–1629CrossRefGoogle Scholar
  32. Xie PP, Arkin PA (1997) Global precipitation: a 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull Am Meteorol Soc 78:2539–2558CrossRefGoogle Scholar
  33. Xie PP, Chen MY, Joyce R, Janowiak JE, Arkin PA (2005) Diurnal cycle in the North America Monsoon. Bull Am Meteorol Soc 86:26–28Google Scholar
  34. Yang GY, Slingo J (2001) The diurnal cycle in the Tropics. Mon Weather Rev 129:784–801CrossRefGoogle Scholar
  35. Yang S., Smith EA (2006) Mechanisms for diurnal variability of global tropical rainfall observed from TRMM. J Climate 19:5190–5226CrossRefGoogle Scholar
  36. Yin XG, Gruber A, Arkin P (2004) Comparison of the GPCP and CMAP merged gauge-satellite monthly precipitation products for the period 1979–2001. J Hydrometeorol 5:1207–1222CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  1. 1.National Center for Atmospheric ResearchBoulderUSA
  2. 2.NASA Goddard Space Flight CenterGreenbeltUSA
  3. 3.University of MarylandBaltimoreUSA
  4. 4.University of CaliforniaIrvineUSA

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