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precipitation as a global phenomenon. Yang and Smith (2006) provide a detailed review and analysis of the variety of mechanisms controlling the diurnal cycle of precipitation. Based on the use of TRMM precipitation data, their analysis demonstrated that diurnal precipitation variability is a global phenomenon with embedded diurnal forcing factors, which are far more complex than can be explained with a few general causes (i.e., the approach followed by nearly all past literature concerning this topic
precipitation as a global phenomenon. Yang and Smith (2006) provide a detailed review and analysis of the variety of mechanisms controlling the diurnal cycle of precipitation. Based on the use of TRMM precipitation data, their analysis demonstrated that diurnal precipitation variability is a global phenomenon with embedded diurnal forcing factors, which are far more complex than can be explained with a few general causes (i.e., the approach followed by nearly all past literature concerning this topic
parameters at equal temporal resolution among all datasets. Upper-air soundings were acquired 6 times day −1 during both experiments; these data were used to characterize the thermodynamic characteristics of the environment. A total of 113 and 91 soundings were available for the EPIC and TEPPS campaigns, respectively. The sonde data went through quality control at the Joint Office for Science Support (JOSS) at the National Center for Atmospheric Research (NCAR), using methods similar to those used to
parameters at equal temporal resolution among all datasets. Upper-air soundings were acquired 6 times day −1 during both experiments; these data were used to characterize the thermodynamic characteristics of the environment. A total of 113 and 91 soundings were available for the EPIC and TEPPS campaigns, respectively. The sonde data went through quality control at the Joint Office for Science Support (JOSS) at the National Center for Atmospheric Research (NCAR), using methods similar to those used to
. 2. Data and analysis method The surface precipitation dataset used in this study was obtained from the National Meteorological Information Center of the China Meteorological Administration. It consists of quality-controlled ( Yu et al. 2007a ) hourly rain gauge records from 2000–04 at 626 stations. Most of the stations are located in central and eastern China ( Fig. 1 ) with only sparse coverage over western China, especially the western part of the Tibetan Plateau. To facilitate analysis, the
. 2. Data and analysis method The surface precipitation dataset used in this study was obtained from the National Meteorological Information Center of the China Meteorological Administration. It consists of quality-controlled ( Yu et al. 2007a ) hourly rain gauge records from 2000–04 at 626 stations. Most of the stations are located in central and eastern China ( Fig. 1 ) with only sparse coverage over western China, especially the western part of the Tibetan Plateau. To facilitate analysis, the
availability of high quality, global-scale, and long-term rainfall datasets from satellite observations, the study of the diurnal cycle of rainfall has been renewed. This topic was first examined as a scientific phenomena over 100 yr ago ( Hann 1901 ) and has been studied extensively since that time in intermittent periods. Yang and Smith’s (2006) study of diurnal mechanisms based on TRMM data includes a detailed review of the twentieth-century literature. In the last decade, there have been a few
availability of high quality, global-scale, and long-term rainfall datasets from satellite observations, the study of the diurnal cycle of rainfall has been renewed. This topic was first examined as a scientific phenomena over 100 yr ago ( Hann 1901 ) and has been studied extensively since that time in intermittent periods. Yang and Smith’s (2006) study of diurnal mechanisms based on TRMM data includes a detailed review of the twentieth-century literature. In the last decade, there have been a few
, methodologies, and computational domains CAR02 reported on warm seasons of 1997–2000. The period of record herein is inclusive of the warm seasons of 1996–2007. a. Observations and data conditioning The radar data for this study were provided by the WSI Corporation’s national composite NOWrad product. This product is derived from the Weather Surveillance Radar-1988 Doppler (WSR-88D) level II data, and undergoes several levels of quality control. It consists of an ∼2-km latitude–longitude grid averaged over
, methodologies, and computational domains CAR02 reported on warm seasons of 1997–2000. The period of record herein is inclusive of the warm seasons of 1996–2007. a. Observations and data conditioning The radar data for this study were provided by the WSI Corporation’s national composite NOWrad product. This product is derived from the Weather Surveillance Radar-1988 Doppler (WSR-88D) level II data, and undergoes several levels of quality control. It consists of an ∼2-km latitude–longitude grid averaged over
