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. 2020 Jun 16;10:9701. doi: 10.1038/s41598-020-65743-1

Diurnal Variations of Summer Precipitation Linking to the Topographical Conditions over the Beijing-Tianjin-Hebei Region

Ziyi Song 1,2, Jingyong Zhang 2,3,
PMCID: PMC7298024  PMID: 32546763

Abstract

The Beijing-Tianjin-Hebei (BTH) region of above 110 million people, located in North China, is confronted with high risks of precipitation-related disasters during the summer. Efforts to better understand diurnal variation characteristics of summer precipitation and associated physical driving processes are of vital importance to accurate forecast of short-time precipitation. Based on hourly gridded precipitation data at a fine resolution of 0.1° newly developed by China Meteorological Administration (CMA), we investigate diurnal variations of summer precipitation and their linkages with the topographical conditions in the BTH region for the period of 2008–2018. Summer precipitation amounts are shown to nonlinearly change with the topographical height, the largest values occurring at the altitudes of around 350 m in the BTH region. As a whole, diurnal variation of summer mean precipitation in the BTH region exhibits an S-shape structure with the peak appearing around 20:00 LST. While the mountainous precipitation largely triggers the precipitation peak with contribution from coastal and plain areas, the large precipitation in early morning is dominated by the precipitation over coastal and plain areas. Heavy and very heavy precipitation frequencies generally decrease with topographical height while light precipitation frequency increases in a nonlinear manner. The physical processes explaining the tight precipitation-topography linkages are also discussed. Our findings are expected to provide useful information for the improvement of short-time precipitation forecast over the BTH region.

Subject terms: Climate sciences, Hydrology

Introduction

Extreme short-time precipitation events frequently caused devastating impacts on ecosystems and human society worldwide14. These extreme events are closely tied to diurnal precipitation cycle primarily driven by solar radiation via its impacts on the interlinked thermodynamic and dynamic processes in the earth’s atmosphere57. Although the great significance has been widely recognized, understanding diurnal precipitation variations and associated complex physical mechanisms across various space scales is still very challenging.

Diurnal precipitation variations have been demonstrated to be remarkable globally, and the peaks vary with region and season810. For underlying physical processes, previous studies found that topographical conditions such as “mountain-valley wind” effect11,12 and windward slope effect13,14, land-sea distribution15, urbanizations16,17, atmospheric circulation background1820 and other factors have important roles to play in driving diurnal precipitation variations over different regions. For example, due to the “mountain-valley wind” effect, the peak time of diurnal precipitation cycle occurs distinctly in mountain and valley areas11.

Previous studies have shown that there are strong spatial and temporal variations in the daily cycle of precipitation over China7,2127, due to the diverse land surface characteristics10, complex topographical conditions1014, land-sea distributions15, monsoon evolution23,24, regionally different atmospheric circulation among others1820. For example, Yu et al.21 revealed that the peaks of diurnal precipitation cycle in warm-season can occur during the morning, afternoon and night, depending on specific regions. In general, studies on diurnal precipitation characteristics and their causes over China are mainly based on the hourly or sub-daily data from relatively limited stations, typically several hundred stations across China.

The Beijing-Tianjin-Hebei (BTH) region of North China is home to more than 110 million people, and is severely influenced by frequent heavy precipitation events during the summer in recent years. A series of studies have addressed short-time precipitation variations and daily precipitation extremes, and the associated physical causes over the BTH region, in particular Beijing14,17,2831. For example, Yang et al.28 demonstrated that summer rainfall amount in Beijing is largely controlled by 1–3 h duration heavy rainfall events. Currently, diurnal characteristics of summer precipitation and underlying driving processes remain insufficiently investigated, partly due to the limitations of available observational data. Recently, a gridded hourly precipitation dataset of China at a resolution of 0.1° is developed by China Meteorological Administration (CMA), based on the observations of 30000–40000 automatic meteorological stations across China and the CMORPH32 (Climate Prediction Center(CPC) morphing technique) precipitation data provided by the National Oceanic and Atmospheric Administration (NOAA). This study aims to use the newly emerging fine-resolution dataset to improve our understanding of diurnal precipitation variations during the summer and how they depend on the complex topographical conditions over the BTH region for the period of 2008–2018.

Results

Diurnal variation characteristics

The BTH region is located in the eastern part of China with a complex topography, which gradually decreases from northwest to southeast (Fig. 1a). In general, the coastal and plain areas of the BTH region are densely populated and highly urbanized (Fig. 1b). The climatic pattern of summer precipitation in the region for 2008–2018 shows that precipitation amounts generally exhibit an obvious gradient from northwest to southeast, and the precipitation amounts over mountain slopes, urban areas and coastal areas are much larger than those over the mountain areas (Fig. 1c). Over the BTH region, the maximum precipitation mainly occurs over the south slope of the Yanshan Mountain.

Figure 1.

Figure 1

(a) Topographical height (units: m), (b) Population density (units: people/km2), and (c) Climatic pattern of summer precipitation from 2008 to 2018 (units: mm/h) in the BTH region. Figure was produced using NCL V6.4.0 (http://www.ncl.ucar.edu/).

As a whole, diurnal variation of summer mean precipitation generally shows an S-shape curve in the BTH region (Fig. 2a): the value is nearly 0.15 mm/h during around 0:00–03:00 LST (local standard time), then gradually declines to the lowest at the noon, and after that increases rapidly to the peak around 20:00 LST. According to the percentage of hourly precipitation to 24-hour cumulative precipitation (see Supplementary Fig. S1), the temporal distributions of precipitation vary with the location. Summer precipitation in the northwestern mountainous areas of the BTH region mainly occurs from 14:00 to 20:00 LST, whereas the precipitation events from the evening to early morning dominate over southeastern plain and coastal areas.

Figure 2.

Figure 2

Regionally averaged diurnal variations of summer precipitation in the BTH region from 2008 to 2018 (units: mm/h): (a) the whole region, (b) the coastal areas below 10 m, (c) the plain areas from 10 to 200 m, (d) the mountainous areas above 200 m.

We further examine diurnal precipitation cycles averaged over coastal areas (<10 m), plain areas (10–200 m) and mountainous areas (>200 m) of the BTH region (Fig. 2b–d). Diurnal precipitation characteristics are markedly distinct over three types of the topography. In the coastal areas (Fig. 2b), the precipitation decreases rapidly from early morning to noon and reaches a high value around 20:00 LST, then after a slight decline it rises again, reaching its peak around 3:00 LST, and subsequently decreases again to the lowest value around 12:00 LST. In comparison, the highest precipitation value at around 3:00 LST is about twice of the lowest value at around12:00 LST. The plain areas (Fig. 2c) are the transitional zones between coastal and mountainous areas, and have high precipitation with similar magnitude from 18:00 LST in the evening to 5:00 LST in the morning; there is a V-shape distribution during 5:00–18:00 LST with the lowest value occurring at around 12:00 LST. The precipitation in mountainous areas (Fig. 2d) has obvious diurnal variations with low values from early morning to noon, and then rapidly increases from afternoon to early evening, peaking at about 17:00 LST.

Diurnal precipitation variations over coastal, plain and mountainous areas play different roles in shaping diurnal precipitation cycle averaged over the whole BTH region. The peak around 20:00 LST over the BTH region is largely induced by the precipitation over mountainous areas overlapped with the contribution from coastal and plain areas. In addition, high precipitation in early morning is mainly contributed by the precipitation over the coastal and plain areas.

There are remarkable spatial differences in diurnal precipitation peaks among three types of topography over the BTH region (Fig. 3). Specifically, the precipitation peak period in mountainous areas mainly occurs from 15:00 to 21:00 LST; for the northern plain areas, the period of precipitation peak appears from 21:00 to 0:00 LST, while the main peak period is from 21:00 to 6:00 LST over the southern plain areas; in the coastal areas, the precipitation peak period mainly exists from 3:00 to 9:00 LST.

Figure 3.

Figure 3

Distribution of peak precipitation period in the daily cycle of summer precipitation in the BTH averaged over the period 2008–2018. Figure was produced using NCL V6.4.0 (http://www.ncl.ucar.edu/).

Relationship between precipitation and topographical conditions

Figure 4 shows that summer precipitation is closely associated with the topographical conditions in the BTH region for 2008–2018. The mean precipitation is about 0.15 mm/h at the topographical height of 0–100 m, increases to the peak around 350 m, and then decreases rapidly with the heights. In other words, the hourly precipitation amount is highest over the mountain slopes, slightly smaller over coastal and plain areas, and smallest over the mountainous areas with high topography.

Figure 4.

Figure 4

The linkage of summer precipitation to topographical height (below 1600 m) in the BTH region for 2008–2018. The line represents summer precipitation variations with topographical height (binned at an interval of 100 m), and the error bars are also shown (±0.5 standard deviation). The vertical blue dotted line in the map represents the boundary line between the plain and mountainous areas, and the column chart shows the number of samples in the corresponding set.

As indicated in Fig. 5, light rain is mainly concentrated in mountainous areas of the BTH region while moderate-to-very heavy rain occurs over the remaining areas. Especially, the highest frequencies of moderate, heavy and very heavy rain mainly appear over the south slope of the Yanshan Mountain.

Figure 5.

Figure 5

Distribution of cumulative hours of (a) light rain, (b) moderate rain, (c) heavy rain and (d) very heavy rain in the summer from 2008 to 2018 in the BTH region. Figure was produced using NCL V6.4.0 (http://www.ncl.ucar.edu/).

Figure 6 shows that cumulative hours of light rain, moderate rain, heavy rain and very heavy rain are all nonlinearly linked to the topographical conditions (below 1600 meters) in the BTH region for 2008–2018. Generally speaking, light rain frequency increases with the topographical heights while the frequencies of heavy and very heavy rain decrease. In comparison, moderate rain frequencies have a much more complex relationship with the topographical conditions.

Figure 6.

Figure 6

The linkages of cumulative hours of (a) light rain, (b) moderate rain, (c) heavy rain and (d) very heavy rain to topographical height (below 1600 m) in the BTH region for 2008–2018. The lines represent summer precipitation variations with topographical height (binned at an interval of 100 m), and the error bars are also shown (±0.5 standard deviation). The vertical blue dotted line in the map represents the boundary line between the plain and mountainous areas, and the column chart shows the number of samples in the corresponding set.

Discussion

Based on the newly emerging 0.1° high resolution hourly precipitation data from CMA for 2008–2018, this study features detailed spatial and diurnal characteristics of summer precipitation in the BTH region, and identified their close and nonlinear relationships with specific topographical conditions.

What are the underlying physical processes explaining the close associations between summer precipitation and the topography over the BTH region? During the summer, the humid monsoon provides the main moisture source of precipitation over the BTH region (Fig. 7a). Additionally, near-surface southeasterly flow transports the moisture from the Bohai Sea to the BTH region (Fig. 7b). The strongest moisture convergence, the highest upward motion and the relatively large convective available potential energy (CAPE) together tend to cause the strongest summer precipitation over the south slope of the Yanshan Mountain (Figs. 1c and 7), in line with the windward slope effects13,14. And, favorable moisture, vertical motion and instable energy conditions may largely explain the strong summer precipitation over the coastal and plain areas and the east slope of Taihang Mountain.

Figure 7.

Figure 7

Climatic patterns of (a) 850 hPa wind field (vector, units: m/s) and vertically integrated moisture divergence (shaded, units: 10−5kg · m−2 · s−1), (b) 10 m wind field (vector, units: m/s) and its divergence (shaded, units: 10−5s−1), (c) 850 hPa vertical velocity (units: Pa/s), (d) convective available potential energy (CAPE) (units: J/kg) in the BTH region for the summers of 2008–2018. Figure was produced using NCL V6.4.0 (http://www.ncl.ucar.edu/).

Diurnal evolutions of summer wind flows, moisture divergence/convergence, vertical motion, and CAPE are further analyzed (see Supplementary Figs. S2S5). The results show that diurnal evolutions of these physical factors generally correspond well with those of summer precipitation over the BTH region. Under the background of the humid summer monsoon, the mountain-valley breeze and the sea-land breeze largely modulate the spatial structure and diurnal evolutions of summer precipitation over the BTH region via their impacts on local atmospheric circulation, moisture transports, vertical motion, and so on.

In addition to the topography, land surface conditions such as soil type33, soil moisture34,35, soil temperature36 and the vegetation37 can modulate diurnal precipitation variations in the BTH region via their effects on surface energy and water fluxes, the atmospheric boundary layer, and local-to-regional atmospheric circulations. As the man-made land surface, the cities such as Beijing and Tianjin may have a certain impact on diurnal precipitation variations over urban areas, surrounding areas, and even the whole region16,17,3841.

Based on previous studies, other processes such as aerosol-cloud interactions42,43 and large-scale climate patterns4449 are proposed to affect summer precipitation in the BTH region. These complex physical mechanisms involved should be further explored by combing statistical analysis and model simulations in the future.

Methods

Data

The hourly precipitation data at a resolution of 0.1° over China for 2008–2018 were provided by the National Meteorological Information Center of China Meteorological Administration (NMIC-CMA) (http://data.cma.cn/). This gridded data were produced by the two-step data fusion algorithm of probability density function and optimal interpolation (PDF + OI) using the hourly precipitation observations at 30,000–40,000 automatic weather stations (AWSs) and the CMORPH32 dataset. The hourly high-resolution precipitation dataset newly developed by CMA based on the observations from very dense AWSs and the widely-used CMORPH dataset5053 is applied to improve our understanding of diurnal precipitation variations over the BTH region.

For all summers (June-August) from 2008 to 2018, there are 776 missing hourly precipitation data over the BTH region (see Supplementary Table S1). The missing rate of the data is very small, and we remove these days which have any missing data in this study.

Additionally, this study also uses the gridded population data54 provided by the Resource and Environmental Science Data Center of the Chinese Academy of Sciences (RESDC-CAS) with a resolution of 1 km, and GTOPO30 topographical height data55 provided by the US Geological Survey (USGS) with a resolution of 30 seconds (about 1 km). Besides, hourly 850 hPa and 10 m wind flows, 850 hPa vertical velocity, vertically integrated moisture divergence and convective available potential energy (CAPE) at a resolution of 0.25° from ERA5 reanalysis dataset56 were also used to examine the underlying physical processes. The population and topographical height data are re-gridded onto the same resolution of hourly precipitation.

Definition and analysis

A precipitation hour is defined as the hourly precipitation amount is greater than or equal to 0.1 mm/h. The hourly precipitation is further classified as light rain, moderate rain, heavy rain and very heavy rain based on the CMA and CAAC (Civil Aviation Administration of China) guideline (Table 1). The topography is divided into three categories: coastal (<10 m), plain (10–200 m), and mountain (>200 m) areas by taking into account the terrain characteristics of the BTH region.

Table 1.

Classification of precipitation levels.

Light rain Moderate rain Heavy rain Very heavy rain
Hourly precipitation (mm/h) 0.1–2.5 2.5–8.0 8.0–16.0 >16.0

First, the 2008–2018 summer mean precipitation values are calculated to investigate detailed spatial precipitation features and their correspondences to topographical conditions and population distribution over the BTH region (Fig. 1). Second, we perform the analysis on diurnal evolutions of summer precipitation for 2008–2018, and also the spatial distribution of the precipitation peaks in the BTH region (Figs. 2, 3 and S1). Third, we evaluate the relations of summer mean precipitation, light-to-very heavy precipitation frequencies to the topographical heights in the BTH region (Figs. 46). Last, we analyze the underlying physical processes responsible for the linkages between summer precipitation and the topography (Figs. 7 and S2S5).

Supplementary information

Acknowledgements

The research was funded by the National Key R&D Program of China (2018YFA0606501, 2017YFA0603601).

Author contributions

J.Z. and Z.S. conceived the study. Z.S. performed the data analysis and prepared the first draft. Z.S. and J.Z. revised the manuscript.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

is available for this paper at 10.1038/s41598-020-65743-1.

References

  • 1.Allan RP, Soden BJ. Atmospheric warming and the amplification of precipitation extremes. Science. 2008;321:1481–1484. doi: 10.1126/science.1160787. [DOI] [PubMed] [Google Scholar]
  • 2.Min SK, Zhang X, Zwiers FW, Hegerl GC. Human contribution to more-intense precipitation extremes. Nature. 2011;470:378–381. doi: 10.1038/nature09763. [DOI] [PubMed] [Google Scholar]
  • 3.Wentz FJ, Ricciardulli L, Hilburn K, Mears C. How much more rain will global warming bring? Science. 2007;317:233–235. doi: 10.1126/science.1140746. [DOI] [PubMed] [Google Scholar]
  • 4.Adhikari P, et al. A digitized global flood inventory (1998–2008): compilation and preliminary results. Nat. Hazards. 2010;55:405–422. doi: 10.1007/s11069-010-9537-2. [DOI] [Google Scholar]
  • 5.Zhai P, Zhang X, Wan H, Pan X. Trends in total precipitation and frequency of daily precipitation extremes over China. J. Clim. 2005;18:1096–1108. doi: 10.1175/JCLI-3318.1. [DOI] [Google Scholar]
  • 6.Meehl GA, et al. An introduction to trends in extreme weather and climate events: Observations, Socioeconomic Impacts, Terrestrial Ecological Impacts, and Model Projections. B. Am. Meteorol. Soc. 2000;81:413–416. doi: 10.1175/1520-0477(2000)081<0413:AITTIE>2.3.CO;2. [DOI] [Google Scholar]
  • 7.Yu RC, Li J, Chen HM, Yuan WH. Progress in studies of the precipitation diurnal variation over contiguous China. J. Meteorol. Res. 2014;28:877–902. doi: 10.1007/s13351-014-3272-7. [DOI] [Google Scholar]
  • 8.Dai AG. Global precipitation and thunderstorm frequencies. Part II: Diurnal variations. J. Clim. 2001;14:1112–1128. doi: 10.1175/1520-0442(2001)014<1112:GPATFP>2.0.CO;2. [DOI] [Google Scholar]
  • 9.Dai AG, Lin X, Hsu KL. The frequency, intensity, and diurnal cycle of precipitation in surface and satellite observations over low- and mid-latitudes. Clim. Dynam. 2007;29:727–744. doi: 10.1007/s00382-007-0260-y. [DOI] [Google Scholar]
  • 10.Miao C, Sun Q, Borthwick AGL, Duan Q. Linkage between hourly precipitation events and atmospheric temperature changes over China during the warm season. Sci. Rep. 2016;6:22543. doi: 10.1038/srep22543. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Guo JP, et al. Diurnal variation and the influential factors of precipitation from surface and satellite measurements in Tibet. Int. J. Clim. 2014;34:2940–2956. doi: 10.1002/joc.3886. [DOI] [Google Scholar]
  • 12.Yuan WH, et al. Regimes of diurnal variation of summer rainfall over subtropical East Asia. J. Clim. 2012;5:3307–3320. doi: 10.1175/JCLI-D-11-00288.1. [DOI] [Google Scholar]
  • 13.Yuan WH, Sun W, Chen HM, Yu RC. Topographic effects on spatiotemporal variations of short-duration rainfall events in warm season of central North China. J. Geophys. Res. Atmos. 2014;119:11223–11234. doi: 10.1002/2014JD022073. [DOI] [Google Scholar]
  • 14.He HZ, Zhang FQ. Diurnal variations of warm-season precipitation over northern China. Mon. Wea. Rev. 2010;138:1017–1025. doi: 10.1175/2010MWR3356.1. [DOI] [Google Scholar]
  • 15.Huang WR, Chan JCL, Wang SY. A planetary-scale land-sea breeze circulation in East Asia and the western North Pacific. Q. J. Roy. Meteor. Soc. 2010;136:1543–1553. doi: 10.1002/qj.663. [DOI] [Google Scholar]
  • 16.Song XM, et al. Rapid urbanization and changes in spatiotemporal characteristics of precipitation in Beijing metropolitan area. J. Geophys. Res. Atmos. 2014;119:D022084. doi: 10.1002/2014JD022084. [DOI] [Google Scholar]
  • 17.Liu J, Dev N. Meta-analysis of urbanization impact on rainfall modification. Sci. Rep. 2019;9:7301. doi: 10.1038/s41598-019-42494-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Yu RC, Li J, Chen HM. Diurnal variation of surface wind over central eastern China. Clim. Dynam. 2009;33:1089–1097. doi: 10.1007/s00382-008-0478-3. [DOI] [Google Scholar]
  • 19.Chen GX, Sha WM, Iwasaki T, Ueno K. Diurnal variation of rainfall in the Yangtze River Valley during the spring-summer transition from TRMM measurements. J. Geophys. Res. Atmos. 2012;117:D06106. doi: 10.1029/2011JD017056. [DOI] [Google Scholar]
  • 20.Huang WR, Chan JCL. Maintenance mechanisms for the early-morning maximum summer rainfall over southeast China. Q. J. Roy. Meteor. Soc. 2011;137:959–968. doi: 10.1002/qj.815. [DOI] [Google Scholar]
  • 21.Yu, R. C. & Li, J. Regional characteristics of diurnal peak phase of precipitation over contiguous China. Acta Meteorologica Sinica74, 18–30, (in Chinese) (2016).
  • 22.Li J, Yu RC, Zhou TJ. Seasonal Variation of the Diurnal Cycle of Rainfall in Southern Contiguous China. J. Clim. 2008;21:277–287. [Google Scholar]
  • 23.Chen GX, Sha WM, Iwasaki T. Diurnal variation of precipitation over southeastern China: Spatial distribution and its seasonality. J. Geophys. Res. Atmos. 2009;114:D13103. doi: 10.1029/2008JD011103. [DOI] [Google Scholar]
  • 24.Yuan WH, Yu RC, Chen HM, Li J, Zhang MH. Subseasonal characteristics of diurnal variation in summer monsoon rainfall over central eastern China. J. Clim. 2010;23:6684–6695. doi: 10.1175/2010JCLI3805.1. [DOI] [Google Scholar]
  • 25.Pan H, Chen GX. Diurnal variations of precipitation over North China regulated by the mountain-plains solenoid and boundary-layer inertial oscillation. Adv. Atmos. Sci. 2019;36:863–884. doi: 10.1007/s00376-019-8238-3. [DOI] [Google Scholar]
  • 26.Yu RC, Xu YP, Zhou TJ, Li J. Relation between rainfall duration and diurnal cycle in the warm season precipitation over central eastern China. Geophys. Res. Lett. 2007;34:173–180. [Google Scholar]
  • 27.Yu RC, Yuan WH, Li J, Fu YF. Diurnal phase of late-night against late-afternoon of stratiform and convective precipitation in summer southern contiguous China. Clim. Dynam. 2010;35:567–576. doi: 10.1007/s00382-009-0568-x. [DOI] [Google Scholar]
  • 28.Yang P, Ren G, Hou W, Liu W. Spatial and diurnal characteristics of summer rainfall over Beijing municipality based on a high-density AWS dataset. Int. J. Clim. 2013;33:2769–2780. doi: 10.1002/joc.3622. [DOI] [Google Scholar]
  • 29.Zhang, J., Zhang X. P., Wang, X. Y. & Zhang, J. M. Precipitation change in Beijing-Tianjin-Hebei province in recent 47 years. Journal of Arid Land Resources and Environment24, 74–80, (in Chinese) (2010).
  • 30.Yang L, Tian F, Smith JA, Hu H. Urban signatures in the spatial clustering of summer heavy rainfall events over the Beijing metropolitan region. J. Geophys. Res. Atmos. 2014;119:1203–1217. doi: 10.1002/2013JD020762. [DOI] [Google Scholar]
  • 31.Zhong L, Mu R, Zhang D, Zhao P, Zhang Z, Wang N. An observational analysis of warm-sector rainfall characteristics associated with the 21 July 2012 Beijing extreme rainfall event. J. Geophys. Res. Atmos. 2015;120:3274–3291. doi: 10.1002/2014JD022686. [DOI] [Google Scholar]
  • 32.Joyce RJ, Janowiak JE, Arkin PA, Xie P. CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J. Hydromet. 2004;5:487–503. doi: 10.1175/1525-7541(2004)005<0487:CAMTPG>2.0.CO;2. [DOI] [Google Scholar]
  • 33.Hu XM, Xue M, Mcpherson RA. The importance of soil-type contrast in modulating August precipitation distribution near the Edwards Plateau and Balcones Escarpment in Texas. J. Geophys. Res. Atmos. 2017;122:10711–10728. doi: 10.1002/2017JD027035. [DOI] [Google Scholar]
  • 34.Schär C, Lüthi D, Beyerle U, Heise E. The soil–precipitation feedback: A process study with a regional climate model. J. Clim. 1999;12:722–741. doi: 10.1175/1520-0442(1999)012<0722:TSPFAP>2.0.CO;2. [DOI] [Google Scholar]
  • 35.Douville H, Chauvin F, Broqua H. Influence of soil moisture on the Asian and African monsoons. Part I: Mean monsoon and daily Precipitation. J. Clim. 2001;14:2381–2403. doi: 10.1175/1520-0442(2001)014<2381:IOSMOT>2.0.CO;2. [DOI] [Google Scholar]
  • 36.Zhang, J. & Wu, L. Impacts of land-atmosphere interactions on climate over East Asia. 138pp, (in Chinese) (China Meteorological Press, 2014).
  • 37.Lee J, et al. Reduction of tropical land region precipitation variability via transpiration. Geophys. Res. Lett. 2012;39:L19704. doi: 10.1029/2012GL053417. [DOI] [Google Scholar]
  • 38.Thielen J, Wobrock W, Gadian A, Mestayer PG, Creutin JD. The possible influence of urban surfaces on rainfall development: a sensitivity study in 2D in the meso-γ-scale. Atmos. Res. 2000;54:15–39. doi: 10.1016/S0169-8095(00)00041-7. [DOI] [Google Scholar]
  • 39.Rotach MW, et al. BUBBLE–an urban boundary layer meteorology project. Theor. Appl. Climatol. 2005;81:231–261. doi: 10.1007/s00704-004-0117-9. [DOI] [Google Scholar]
  • 40.Dixon PG, Mote TL. Patterns and causes of Atlanta’s urban heat island–initiated Precipitation. J. Appl. Meteor. 2003;42:1273–1284. doi: 10.1175/1520-0450(2003)042<1273:PACOAU>2.0.CO;2. [DOI] [Google Scholar]
  • 41.Lin CY, Chen WC, Chang PL, Sheng YF. Impact of the urban heat island effect on precipitation over a complex geographic environment in Northern Taiwan. J. Appl. Meteorol. Clim. 2011;50:339–353. doi: 10.1175/2010JAMC2504.1. [DOI] [Google Scholar]
  • 42.Jiang Y, Liu X, Yang XQ, Wang M. A numerical study of the effect of different aerosol types on East Asian summer clouds and precipitation. Atmos. Environ. 2013;70:51–63. doi: 10.1016/j.atmosenv.2012.12.039. [DOI] [Google Scholar]
  • 43.Rosenfeld D, et al. Global observations of aerosol-cloud-precipitation-climate interactions. Rev. Geophys. 2014;52:750–808. doi: 10.1002/2013RG000441. [DOI] [Google Scholar]
  • 44.Webster PJ, Yang S. Monsoon and ENSO: selectively interactive systems. Q. J. Roy. Meteor. Soc. 1992;118:877–926. doi: 10.1002/qj.49711850705. [DOI] [Google Scholar]
  • 45.Gong DY, Ho C. Arctic oscillation signals in the East Asian summer monsoon. J. Geophys. Res. Atmos. 2003;108:(D2)4066. doi: 10.1029/2002jd002193. [DOI] [Google Scholar]
  • 46.Deng YY, Gao T, Gao HW, Yao XH. Regional precipitation variability in East Asia related to climate and environmental factors during 1979–2012. Sci. Rep. 2014;4:5693. doi: 10.1038/srep05693. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Nesbitt SW, Zipser EJ. The diurnal cycle of rainfall and convective intensity according to three years of TRMM measurements. J. Clim. 2003;16:1456–1475. doi: 10.1175/1520-0442-16.10.1456. [DOI] [Google Scholar]
  • 48.Xu WX, Zipser EJ. Diurnal variations of precipitation, deep convection, and lightning over and east of the Eastern Tibetan Plateau. J. Clim. 2011;24:448–465. doi: 10.1175/2010JCLI3719.1. [DOI] [Google Scholar]
  • 49.Yu RC, et al. Diurnal variation of summer precipitation over contiguous China. Geophys. Res. Lett. 2007;34:223–234. [Google Scholar]
  • 50.Janowiak JE, Kousky VE, Joyce RJ. Diurnal cycle of precipitation determined from the CMORPH high spatial and temporal resolution global precipitation analyses. J. Geophys. Res. Atmos. 2005;110:D23105. doi: 10.1029/2005JD006156. [DOI] [Google Scholar]
  • 51.Buarque DC, de Paiva RCD, Clarke RT, Mendes CAB. A comparison of Amazon rainfall characteristics derived from TRMM, CMORPH and the Brazilian national rain gauge network. J. Geophys. Res. Atmos. 2011;116:D19105. doi: 10.1029/2011JD016060. [DOI] [Google Scholar]
  • 52.Qian T, Zhao P, Zhang F, Bao X. Rainy-season precipitation over the Sichuan Basin and adjacent regions in southwestern China. Mon. Wea. Rev. 2015;143:383–394. doi: 10.1175/MWR-D-13-00158.1. [DOI] [Google Scholar]
  • 53.Trenberth KE, Zhang Y. Near-global covariability of hourly precipitation in space and time. J. Hydromet. 2018;19:695–713. doi: 10.1175/JHM-D-17-0238.1. [DOI] [Google Scholar]
  • 54.Xu, X. L. China Population Spatial Distribution Kilometer Grid Data Set. Data registration and publishing system of Resource and Environmental Science Data Center, Chinese Academy of Sciences, 10.12078/2017121101 (2017).
  • 55.Land Processes Distributed Active Archive Center (LP DAAC). Global 30 Arc-Second Elevation Data Set GTOPO30. Land Process Distribution Active Archive Center, https://www.usgs.gov/, 10.5066/F7DF6PQS (1996).
  • 56.European Centre for Medium-Range Weather Forecasts (ECMWF). ERA5 Reanalysis. Research Data Archive. National Center for Atmospheric Research, Computational and Information Systems Laboratory, Boulder, CO., 10.5065/D6X34W69 (2017).

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