Total Number Of Rainy Days Research Articles

Characterization, variability and long‐term trends on local climate in a Mexican tropical dry forest

AbstractBased on 40 years of meteorological data, we characterized and analysed long‐term climatic trends in the Chamela‐Cuixmala Biosphere Reserve on the Pacific coast of central Mexico. The region is still covered by a large proportion of well‐preserved tropical dry forest, characterized by a short period of rain and a dry season of around 8 months. We found a sustained temperature increase which is likely driven by global climate change. An increasing trend in rainfall was also found, but the trend was detected only during the wet season. Correspondingly, an increase in runoff during the rainfall season was also detected; this seems to be linked with an increasing number of intense rainfall events, rather than an increase in the total number of rainy days. El Niño years are likely to present below average precipitation during the wet season and above average precipitation during the dry season. The opposite is expected during La Niña years, when tropical cyclones are likely to come closer to the coast and cause intense rainfall events during the hurricane season. As many of the studied variables are likely to change under climate change scenarios, our results highlight the need to understand the expected impacts of global climate change on tropical dry forests. In particular, it is necessary to monitor changes in water availability to anticipate its consequences for the forest and the human communities that depend on it.

Spatial variance analysis of the actual daily mean rainfall in Riyadh for the period 1970 - 2017

هدفت هذه الدراسة إلى حساب المتوسط الفعلي اليومي للأمطار بمنطقة الرياض وتحليل خصائصه الإحصائية بمحطات المجمعة (R101-460) الرياض المصانع (R001-452) وضرماء (R112-470) والجبيلة (R106-464) وسدوس (R102-461) ورماح (HU103-954) وشقراء (R006-457) وحوطة سدير (R005-456) والحريق (R104-453) وحريملاء (R103-462) بتطبيق العلاقة لنسبية بين كميات الأمطار السنوية ومجموع عدد الأيام الممطرة بالسنة. ولتحقيق أهداف الدراسة اعتمدت هذه الدراسة على المنهج الاستقرائي الذي يتناول تحليل الخصائص الإحصائية لتوزيع الأمطار بتطبيق مقاييس التشتت (المتوسط، الانحراف المعياري، الخطأ المعياري للمتوسط، الخطأ المعياري للانحراف المعياري) من جهة وعلى حساب النسبة بين بين كميات الأمطار السنوية ومجموع عدد الأيام الممطرة بالسنة. كما يعتمد تحليل التوزيع المكاني على استخدام الفئات المتجانسة لكميات الأمطار السنوية ولعدد الأيام الممطرة ولمتوسط الأمطار الفعلي اليومي. وتوصلت هذه الدراسة إلى تحليل الخصائص الإحصائية للأمطار السنوية ولعدد الأيام الممطرة للفترة 1970-2017 بمجموع 10 محطات مطرية واستخدامها في حساب المتوسط الأمطار اليومي الفعلي وتحليل تباين توزيعه المكاني والزماني. كما تم تحديد أفضل نموذج لعلاقة الارتباط (النموذج التكعيبي) بين كميات الأمطار السنوية وعدد الأيام الممطرة. وعلى ضوء النتائج المذكورة قدمت هذه الدراسة مجموعة من التوصيات لتوسيع مجال هذه الدراسة على مختلف مناطق المملكة العربية السعودية ومقارنة نتائجها بنتائج دراسات مماثلة بمختلف المناطق الجافة وشبه الجافة وتوظيفها في الاستدلال على تأثيرات التغير المناخي وتوظيف المتوسط الفعلي اليومي للأمطار في تقدير الميزانية المائية بمنطقة الرياض وفي تقدير الموارد المائية السطحية خلال الأيام الممطرة من السنة للاستفادة منها في مختلف المجالات وفي تصميم قاعدة بيانات مناخية وهيدرولوجية لمختلف مناطق المملكة العربية لتوظيفها في تنفيذ مشاريع الري ودرء مخاطر السيول.

Proportional Trends of Continuous Rainfall in Indian Summer Monsoon

A comprehensive study on the Indian summer monsoonal rainfall (ISMR) is performed in the light of decadal changes in the continuous rainfall events and the number of rainy days using 68 years (1951–2018) of gridded rain gauge data. Non-parametric Mann–Kendall’s test is applied on total rainfall amount, the number of rainy days, number of continuous rainfall events, and rainfall magnitude to find trends over different climatic zones of India for the two periods, 1951–1984 and 1985–2018. Our results found a decreasing trend for more than 4-days of continuous rainfall events during the recent 34 years (1985–2018) compared to 1951–1984. The rate of increase/decrease in extreme/continuous rainfall events does not follow a similar trend in number of continuous rainfall events and magnitude. Moreover, the rainfall is shifted towards a lesser number of continuous rainfall days with higher magnitudes during 1985–2018. During the crop’s sow season (i.e., the first 45 days from the onset date of Indian monsoon), the total number of rainy days decreased by a half day during the last 34 years. Over the Central and North East regions of India, the number of rainfall days decreased by ~0.1 days/yr and ~0.3 days/yr, respectively, during 1985–2018. Overall, the decreasing trends in continuous rainfall days may escalate water scarcity and lead to lower soil moisture over rain-fed irrigated land. Additionally, an upsurge in heavy rainfall episodes will lead to an unexpected floods. On a daily scale, rainfall correlates with soil moisture and evaporation up to 0.87 over various land cover and land use regions of India. Continuous light-moderate rainfall seems to be a controlling factor for replenishing soil moisture in upper levels. A change in rainfall characteristics may force the monsoon-fed rice cultivation period to adopt changing rainfall patterns.

Evaluation of The Number of Rainy Days Observed for Long Years Due to Global Climate Change in Nevşehir /Turkey

In this research caried out Nevsehir province, Avanos and Ürgüp districts of Turkey's Central Anatolia Nevsehir. In the study, it is aimed to reveal the trends of years by changing the number of long year total rainy days by Mann Kendall and Sperman's Rho correlation tests. Within the scope of the study, 34 years long total monthly rainy days data between 1986-2019, which were obtained from automatic meteorology stations, were evaluated. According to the results of the trend analysis, the average total number of rainy days in Nevşehir province was 77 days minimum, the maximum number of rainy days was 142 days, and the average of the average number of rainy days was 109 days. In Avanos district, the average number of rainy days for a long time was 57 days, and the maximum number of rainy days was 129 days, while the average of the number of rainy days for long years was 89 days. In Ürgüp district, the average number of rainy days for a long time was 65 days, the maximum number of rainy days was 129 days, and the average of the number of rainy days for long years was 95 days. As a result, considering the number of long year rainy days, it is concluded that there is no significant trend in Nevşehir province, Avanos and Ürgüp district stations.

The association of cellulitis incidence and meteorological factors in Taiwan.

Cellulitis is a common infection of the skin and soft tissue. Susceptibility to cellulitis is related to microorganism virulence, the host immunity status and environmental factors. This retrospective study from 2001 to 2013 investigated relationships between the monthly incidence rate of cellulitis and meteorological factors using data from the Taiwanese Health Insurance Dataset and the Taiwanese Central Weather Bureau. Meteorological data included temperature, hours of sunshine, relative humidity, total rainfall and total number of rainy days. In otal, 195 841 patients were diagnosed with cellulitis and the incidence rate was strongly correlated with temperature (γS = 0.84, P < 0.001), total sunshine hours (γS = 0.65, P < 0.001) and total rainfall (γS = 0.53, P < 0.001). The incidence rate of cellulitis increased by 3.47/100 000 cases for every 1° elevation in environmental temperature. Our results may assist clinicians in educating the public of the increased risk of cellulitis during warm seasons and possible predisposing environmental factors for infection.

On the Link between Tropical Cyclones and Daily Rainfall Extremes Derived from Global Satellite Observations

Abstract The authors evaluate the contribution of tropical cyclones (TCs) to daily precipitation extremes over land for TC-active regions around the world. From 1998 to 2012, data from the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA 3B42) showed that TCs account for an average of 3.5% ± 1% of the total number of rainy days over land areas experiencing cyclonic activity regardless of the basin considered. TC days represent between 13% and 31% of daily extremes above 4 in. day−1, but can account locally for the large majority (>70%) or almost all (≈100%) of extreme rainfall even over higher-latitude areas marginally affected by cyclonic activity. Moreover, regardless of the TC basin, TC-related extremes occur preferably later in the TC season after the peak of cyclonic activity.

Analysis of Precipitation Characteristics of Poyang Lake Basin

This paper was based on the Poyang lake Basin’s 55a rainfall data (1959 ~2014). First, the recursive linear interpolation method was used to complete the daily precipitation observation data of 55a to establish the Poyang lake basin’s data. Then the linear regression method was used to study the change trend of Poyang lake basin: the number of days of rainfall, days of light rain, days of heavy rain, days of rainstorm and days of continuous no rainfall. The results suggest that: 1) In the past 55a, there is no apparently change trend in precipitation between the annual and flood season. The precipitation has been with cyclical fluctuations. 2) The monthly variation trends in the water level of stations in Poyang lake basin are basically in accordance with the precipitation’s trends. 3) The precipitation has similar characteristics in spatial distribution between the annual and flood season, most concentrates in Raohe basin and XinJiang basin. 4) The total number of rainy days and light rain days shows a decreasing trend, but the heavy rain days and rainstorm days increase significantly on versus. The precipitation intensity has enhanced, also the days of continuous no rainfall show an increasing trend. That is the drought flood risk increases.

Trend analysis of rainfall and frequency of rainy days over Coimbatore

Rainfall is very crucial for the economic development, disaster management, hydrological planning for the country. In the context of climate change, it is pertinent to ascertain whether the characteristic of Indian rainfall is also changing. Using daily rainfall data for the period of 1907-2012 analysis were carried out, to find out the change in rainfall and frequency of rainfall intensity. Results indicated that the annual rainfall is not dependable. Contribution of NEM to the total rainfall is 50.3 percent which was followed by SWM (26.3%). Contribution of NEM during every 30 years of periods was constantly increasing and the increasing trend was statistically significant at 95% confidence level. Total number of rainy days (very light, light, moderate, rather heavy, heavy, very heavy rainy days) during the study period was 80.2 days, in which the frequency of very light rainy days (35.0 days) was highest followed by light (20.7 days) and moderate rainy days (20.8 days). Trend analysis was done for all categories of rainfall to find out the presence of increasing or decreasing trend. Total number of rainy days slightly gets decreasing in all the seasons except NEM where the rainy days are increasing but the changes were not statistically significant. The results showed that there is no change in long term of monthly, seasonal, annual rainfall and frequency of rainy days. Hence, it can be concluded that there is no climate change observed over Coimbatore.

Trends in aerosol optical depth over Indian region: Potential causes and impact indicators

AbstractThe first regional synthesis of long‐term (back to ~ 25 years at some stations) primary data (from direct measurement) on aerosol optical depth from the ARFINET (network of aerosol observatories established under the Aerosol Radiative Forcing over India (ARFI) project of Indian Space Research Organization over Indian subcontinent) have revealed a statistically significant increasing trend with a significant seasonal variability. Examining the current values of turbidity coefficients with those reported ~ 50 years ago reveals the phenomenal nature of the increase in aerosol loading. Seasonally, the rate of increase is consistently high during the dry months (December to March) over the entire region whereas the trends are rather inconsistent and weak during the premonsoon (April to May) and summer monsoon period (June to September). The trends in the spectral variation of aerosol optical depth (AOD) reveal the significance of anthropogenic activities on the increasing trend in AOD. Examining these with climate variables such as seasonal and regional rainfall, it is seen that the dry season depicts a decreasing trend in the total number of rainy days over the Indian region. The insignificant trend in AOD observed over the Indo‐Gangetic Plain, a regional hot spot of aerosols, during the premonsoon and summer monsoon season is mainly attributed to the competing effects of dust transport and wet removal of aerosols by the monsoon rain. Contributions of different aerosol chemical species to the total dust, simulated using Goddard Chemistry Aerosol Radiation and Transport model over the ARFINET stations, showed an increasing trend for all the anthropogenic components and a decreasing trend for dust, consistent with the inference deduced from trend in Angstrom exponent.

Long-Term (1951–2007) Rainfall Trends around Six Indian Cities: Current State, Meteorological, and Urban Dynamics

The present study focuses on analyzing the precipitation trends over six Indian cities during the summer monsoon (June–September) covering the period 1951–2007 and also attempting to investigate possible urban forcing and dynamics by examining the variation in precipitation in the upwind and downwind directions. The analysis shows negative trends in the total number of rainy days over Hyderabad (−10.4%), Kanpur (−7.1%), Jaipur (−10.5%), and Nagpur (−4.8%) and positive trends over Delhi (7.4%) and Bangalore (22.9%). On the other hand, decreases of −21.3%, −5.9%, −14.2%, and −14.6% in seasonal rainfall are found over Delhi, Hyderabad, Jaipur, and Kanpur, respectively, whereas Bangalore and Nagpur show 65.8% and 13.5% increase. The lesser rainfall and rainy days, along with the mostly declining trend, in the downwind directions of the cities may imply an urban influence in precipitation associated with the increased anthropogenic emissions due to expansion of the urban areas and the increase of population. However, the large spatiotemporal variability of precipitation and the lack of statistical significance in the vast majority of the trends do not allow the extraction of safe conclusion concerning the aerosol-precipitation interactions around Indian cities.

Influence of land use/land cover (LULC) changes on atmospheric dynamics over the arid region of Rajasthan state, India

The present study examines the long-term effects of land use/land cover (LULC) changes in Rajasthan state, India on land-atmosphere fluxes and, possibly in precipitation and aerosol loading. By comparing the satellite observations from Landsat MSS (1972–73) and IRS-P6 AWiFS (2006–07) considerable LULC changes are observed, an increase in crop-land and vegetated areas of ∼57% in the eastern and ∼68% in the western Rajasthan. The increase in agriculture intensification from irrigation activities after the construction of the Indira Gandhi canal (IGC) seems to affect the land-atmosphere fluxes, i.e. increase in atmospheric humidity and latent heat and reduction in sensible heat. On the other hand, the multi-decadal variability (1951–2007) in annual rainfall amount and total number of rainy days reveals significant year-to-year fluctuations, exhibiting a slight increasing trend over arid western Rajasthan. However, the overall analysis shows that the variability in precipitation is much more influenced by the general monsoonal circulation (i.e. meteorological dynamics and intensity of the monsoon) and partly can be associated with local phenomena, such as LULC changes and modifications in land-atmosphere fluxes. Similarly to precipitation, the long-term (1979–2008) aerosol index (AI) variations over the region seem to be affected by atmospheric and meteorological dynamics and not by LULC changes.

Investigation of non-stationarity in hydro-climatic variables at Rift Valley lakes basin of Ethiopia

Summary Streamflow, lake level and rainfall data acquired from 11 monitoring stations and 21 grid points at Rift Valley lakes basin of Ethiopia have been analyzed to evaluate short and long term dependence using parametric and non-parametric tests. Temporal variation in land use/cover has also been analyzed to investigate its effect on streamflow. Summer rainfall at Alaba Kulito and Bilate Farm show decreasing trend at 10% significance level. All other events of observed and gridded rainfall and total number of rainy days exhibit insignificant trends. Streamflow and lake level exhibit significant increasing trend for more than three-quarter of events investigated. Extreme wet years are marked with increased positive Sea Surface Temperature (SST) anomalies whereas extreme dry years are characterized by negative SST anomalies. Even though there are such apparent associations between extreme rainfall magnitudes and SST, the frequency of above average total rainfall years to occur is relatively less during the analysis window. The observed trend in streamflow, lake level and rainfall is attributed to the combined effect of global climatic change and variability on local climate and altered catchment condition over the years. Thus, simultaneous analysis of catchment dynamics and hydro-climatic variables using multiple time series models to detect non-stationarity eliminate potential bias of ruling out the effect of catchment dynamics.

Trends in frequency indices of daily precipitation over the Iberian Peninsula during the last century

[1] This study provides the first long-term assessment of changes in precipitation associated with different rainfall categories over the Iberian Peninsula (IP). Using recently digitized data from 27 stations in Portugal and Spain, we have examined trends of precipitation indices for the complete period 1903–2003 and the two subperiods 1903–1953 and 1954–2003. These indices were evaluated seasonally according to five rainfall categories: total rainfall (≥0.2 mm), light rainfall (≥0.2 and <2.5 mm), moderate rainfall (≥2.5 and <7.5 mm), intense rainfall (≥7.5 mm), and very intense rainfall (≥15 mm). For the complete period 1903–2003, we have found that the total number of rainy days and that of light rainfall are increasing at many observatories over the IP for all seasons (except in the western zone of Portugal and the Cadiz gulf, where they are decreasing). Both subperiods show opposite behaviors in fall and spring. During the first (second) subperiod spanning 1903–1953 (1954–2003), we can find a generalized decrease (increase) in the number of rainy days in fall in all rainfall categories. In spring, an increase in the number of rainy days is found mainly for total, moderate, and intense categories for the first subperiod, and a slight decrease during the second. In winter, we have verified a decrease in the number of rainy days mainly for total, moderate, and intense rainfall categories in the second subperiod. Finally in relation to the maximum length of dry spells for both subperiods, most observatories show significant trends opposite those of the total number of rainy days. It is worth noticing that the contrasting evolution of trends found between the first and second halves of the twentieth century could only be characterized in this work following a recent comprehensive digitization of historical Iberian precipitation data from the first decades of the twentieth century.

Modelling of monsoon rainfall for a mesoscale catchment in North-West India I: assessment of objective circulation patterns

Abstract. Within the present study we shed light on the question whether objective circulation patterns (CP) classified from either the 500 HPa or the 700 HPa level may serve as predictors to explain the spatio-temporal variability of monsoon rainfall in the Anas catchment in North West India. To this end we employ a fuzzy ruled based classification approach in combination with a novel objective function as originally proposed by (Stehlik and BᲤossy, 2002). After the optimisation we compare the obtained circulation classification schemes for the two pressure levels with respect to their conditional rainfall probabilities and amounts. The classification scheme for the 500 HPa level turns out to be much more suitable to separate dry from wet meteorological conditions during the monsoon season. As is shown during a bootstrap test, the CP conditional rainfall probabilities for the wet and the dry CPs for both pressure levels are highly significant at levels ranging from 95 to 99%. Furthermore, the monthly CP frequencies of the wettest CPs show a significant positive correlation with the variation of the total number of rainy days at the monthly scale. Consistently, the monthly frequencies of the dry CPs exhibit a negative correlation with the number of rainy days at the monthly scale. The present results give clear evidence that the circulation patterns from the 500 HPa level are suitable predictors for explaining spatio- temporal Monsoon variability. A companion paper shows that the CP time series obtained within this study are suitable input into a stochastical rainfall model.

Response of soyabean (&lt;I&gt;Glycine max&lt;/I&gt; Mer.) to wheat straw mulching in different cropping seasons

. The favoured temperature range for soyabean seed germination is 25–30 °C and the crop is sensitive to water stress. In northern India, the crop is sown in the hot-dry months of May–June. Straw mulching can alter the soil's hydrothermal regime by lowering the temperature and reducing evaporation losses. A field experiment was conducted from 1999 to 2002 at the Research Farm of Punjab Agricultural University, Ludhiana on a loamy sand soil to evaluate the effect of wheat straw mulch on soil temperature, soyabean seed yield and crop growth. Maximum soil temperatures at sowing depth, recorded during the 1-month period after sowing (seed germination to seedling establishment stage), were high under no-mulch, ranging from 30.6 to 48.6 °C, while mulching substantially reduced these temperatures by 1.4 to 12.7 °C. Mulching increased soyabean seed yield by 4.4 to 68.3% in different cropping seasons; it also increased plant biomass by 17 to 122% and nodule mass by 8 to 220%. Leaf area index, chlorophyll content of leaves and number of pods per plant were all increased. Seed yield improvement under mulch was negatively correlated with rainfall distribution (number of rainy days) and amount during the whole cropping season. The percentage increase in seed yield with mulching was regressed against the total number of rainy days and total rainfall in millimetres in the cropping season. Thereby 93% of the variation in response to mulching in different cropping seasons was explained by the distribution and amount of rainfall.

Trends in Precipitation Amounts and the Number of Rainy Days and Heavy Rainfall Events during Summer in China from 1961 to 2000

Long-term trends in summer precipitation totals, the number of rainy days, and precipitation intensity were investigated with daily rainfall datasets for China from 1961 to 2000. Total precipitation significantly increased in summer in the Yangtze River basin and northwestern China, while total precipitation decreased in other regions. The number of rainy days increased in the Yangtze River basin, and over northwestern China. In contrast, the number of rainy days decreased over Tibet and over northern and northeastern China. Seasonal mean precipitation intensity became large at most of the stations in China.To investigate trends in heavy rainfall, daily rainfall totals during the whole investigation period were grouped into ten classes, with class width equal to l0% of total number of rainy days from 1961 to 2000, and the number of rainy days, and summer mean rainfall amount for each class, were obtained for each summer. A simple linear fit was made to determine the linear trends in the 10-class precipitation time series. The upper 20 percentile of daily precipitation totals showed a statistically significant increase over the Yangtze River basin, and over northwestern China during the study period. Class average precipitation decreased in almost 10 classes over Tibet and north and northeastern China.

Fern species richness along a central Himalayan elevational gradient, Nepal

AbstractAim The study explores fern species richness patterns along a central Himalayan elevational gradient (100–4800 m a.s.l.) and evaluates factors influencing the spatial increase and decrease of fern richness.Location The Himalayas stretch from west to east by 20°, i.e. 75–95° east, and Nepal is located from 80 to 88° east in this range.Methods We used published data of the distribution of ferns and fern allies to interpolate species elevational ranges. Defining species presence between upper and lower elevation limit is the basis for richness estimates. The richness pattern was regressed against the total number of rainy days, and gradients that are linearly related to elevation, such as length of the growing season, potential evapotranspiration (PET, energy), and a moisture index (MI = PET/mean annual rainfall). The regressions were performed by generalized linear models.Results A unimodal relationship between species richness and elevation was observed, with maximum species richness at 2000 m. Fern richness has a unimodal response along the energy gradients, and a linear response with moisture gradients.Main conclusions The study confirms the importance of moisture on fern distributions as the peak coincides spatially with climatic factors that enhance moisture levels; the maximum number of rainy days and the cloud zone. Energy‐related variables probably control species richness directly at higher elevations but at the lower end the effect is more probably related to moisture.

Atmospheric depositional fluxes of 7Be and 210Pb at Galveston and College Station, Texas

The bulk depositional fluxes of 210Pb and 7Be were measured at a coastal (Galveston) and an inland (College Station) station for about 3 years, between 1989 and 1991. The annual depositional fluxes of 7Be and 210Pb at Galveston during this period varied by a factor of about 2.5, between 8.9 and 23.2 disintegrations per minute (dpm) cm−2 yr−1, with a mean of 14.7 dpm cm−2 yr−1 for 7Be, and 0.67 and 1.71 dpm cm−2 yr−1, with a mean of 1.03 dpm cm−2 yr−1 for 210Pb, respectively. The precipitation‐normalized 7Be flux increases with increasing amount of precipitation. There is no systematic and consistent seasonal trend in the depositional fluxes for 7Be or for 210Pb. The volume‐weighted 210Pb concentrations, when normalized to the amount of precipitation, seem to be constant over the time period of this study. Four to six heavy rain events (&gt; 5 cm) in a single day account for 20–30% of the annual deposition of 7Be and 210Pb. Such events account, however, for only about 4–6% of the total number of rainy days in a year. The dry depositional fluxes of these nuclides appear to be a significant fraction of the bulk depositional flux only during the months when there is very little rain. The fraction of dry to total depositional flux of 210Pb appears to be higher than that of 7Be. The strong positive correlation between 7Be and 210Pb depositional fluxes indicates that the flux of both nuclides is controlled by scavenging processes by local precipitation. This correlation also indicates that a major portion of the air masses that brings precipitation to Galveston and College Station is of continental origin. Our data therefore suggest that 7Be and 210Pb cannot be used as independent atmospheric tracers in our coastal station. This observation is consistent with those observed at many other continental and coastal stations.

Some Statistics of Daily Rainfall Occurrence for the Canadian Prairie Provinces

A two-state Markov chain model provided very serviceable approximations to the April-September frequency statistics for duration of dry spells recorded in 45 years' observations at Edmonton, Swift Current and Winnipeg. It was less satisfactory in respect of the total number of rainy days per month, tending to underestimate the frequency of months with few rainy days. There was a minor degree of correlation in the numbres of rainy days recorded during the same month at these three locations, but no significant statistical association in those for successive months at the same location.

Seasonal features of the spatial distribution of rainfall in pre-partitioned India

The spatial distribution of rainfall in accordance with the practice prevalent in the India Meteorological Department, viz., "few falls", "local" and "widespread" during the four seasons and the whole in the different meteorological subdivisions of the pre-partitioned India have been studied with a view, to find any common features that may exist between the three types of rainfall distribution. Distribution of total number of rainy days in the various meteorological subdivisions during the four seasons and the year have been discussed.