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Journal articles on the topic 'Daily rainfall'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Thompson, S., I. M. Sanni, U. A. Abubakar, and B. S. Sani. "Preliminary Analysis of Daily Rainfall Data from Kano State using Statistical Techniques." October 2022 6, no. 2 (2022): 317–24. http://dx.doi.org/10.36263/ijest.2022.02.0366.

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A 35-year annual rainfall was collected from NIMET to determine the Standard Precipitation Index (SPI) and also to study the trend of rainfall parameter in the Kano State, Northern Nigeria. The paper captures the average rainfall (normal rainfall) data for thirty-five years period which implies a rainfall of about 1081.56mm. The positive values (above zero) signify rainfalls that were higher than normal (wet); while the negative values (below zero) imply rainfalls that were lower than normal (dry). From the rainfall anomaly, 18 years (52.9%) recorded wet due to the fact that rainfall occurred

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2

Thompson, S., I. M. Sanni, U. A. Abubakar, and B. S. Sani. "Preliminary Analysis of Daily Rainfall Data from Kano State using Statistical Techniques." October 2022 6, no. 2 (2022): 317–24. http://dx.doi.org/10.36263/nijest.2022.02.0366.

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A 35-year annual rainfall was collected from NIMET to determine the Standard Precipitation Index (SPI) and also to study the trend of rainfall parameter in the Kano State, Northern Nigeria. The paper captures the average rainfall (normal rainfall) data for thirty-five years period which implies a rainfall of about 1081.56mm. The positive values (above zero) signify rainfalls that were higher than normal (wet); while the negative values (below zero) imply rainfalls that were lower than normal (dry). From the rainfall anomaly, 18 years (52.9%) recorded wet due to the fact that rainfall occurred

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3

Ledingham, Jamie, David Archer, Elizabeth Lewis, Hayley Fowler, and Chris Kilsby. "Contrasting seasonality of storm rainfall and flood runoff in the UK and some implications for rainfall-runoff methods of flood estimation." Hydrology Research 50, no. 5 (2019): 1309–23. http://dx.doi.org/10.2166/nh.2019.040.

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Abstract Using data from 520 gauging stations in Britain and gridded rainfall datasets, the seasonality of storm rainfall and flood runoff is compared and mapped. Annual maximum (AMAX) daily rainfall occurs predominantly in summer, but AMAX floods occur most frequently in winter. Seasonal occurrences of annual daily rainfall and flood maxima differ by more than 50% in dry lowland catchments. The differences diminish with increasing catchment wetness, increase with rainfalls shorter than daily duration and are shown to depend primarily on catchment wetness, as illustrated by variations in mean

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4

Hershenhorn, J., and D. A. Woolhiser. "Disaggregation of daily rainfall." Journal of Hydrology 95, no. 3-4 (1987): 299–322. http://dx.doi.org/10.1016/0022-1694(87)90008-4.

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5

MALEKINEZHAD, HOSSEIN, and ARASH ZARE-GARIZI. "Regional frequency analysis of daily rainfall extremes using L-moments approach." Atmósfera 27, no. 4 (2015): 411–27. http://dx.doi.org/10.20937/atm.2014.27.04.07.

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Daily extreme precipitation values are among environmental events with the most disastrous consequences for human society. Information on the magnitudes and frequencies of extreme precipitations is essential for sustainable water resources management, planning for weather-related emergencies, and design of hydraulic structures. In the present study, regional frequency analysis of maximum daily rainfalls was investigated for Golestan province located in the northeastern Iran. This study aimed to find appropriate regional frequency distributions for maximum daily rainfalls and predict the return

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Haddad, Khaled, and Ataur Rahman. "Derivation of short-duration design rainfalls using daily rainfall statistics." Natural Hazards 74, no. 3 (2014): 1391–401. http://dx.doi.org/10.1007/s11069-014-1248-7.

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7

Sirangelo, B., E. Ferrari, and D. L. De Luca. "Occurrence analysis of daily rainfalls through non-homogeneous Poissonian processes." Natural Hazards and Earth System Sciences 11, no. 6 (2011): 1657–68. http://dx.doi.org/10.5194/nhess-11-1657-2011.

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Abstract. A stochastic model based on a non-homogeneous Poisson process, characterised by a time-dependent intensity of rainfall occurrence, is employed to explain seasonal effects of daily rainfalls exceeding prefixed threshold values. The data modelling has been performed with a partition of observed daily rainfall data into a calibration period for parameter estimation and a validation period for checking on occurrence process changes. The model has been applied to a set of rain gauges located in different geographical areas of Southern Italy. The results show a good fit for time-varying in

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8

I Gusti Ngurah Putu Dharmayasa, Cathleen Ariella Simatupang, and Doni Marisi Sinaga. "NASA Power’s: an alternative rainfall data resources for hydrology research and planning activities in Bali Island, Indonesia." Journal of Infrastructure Planning and Engineering (JIPE) 1, no. 1 (2022): 1–7. http://dx.doi.org/10.22225/jipe.1.1.2022.1-7.

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Rainfall data is critical for planning and research in the field of hydrology. Rainfall data must be available continuously, which means it must be recorded continuously. This recording will continue since numerous projects in the field of hydrology require continuous rainfall data. Although rainfall data are collected and recorded daily, some stations frequently have insufficient rainfall records, particularly in developing countries such as Bali, Indonesia. These issues may impair the quality of rainfall data, resulting in inaccuracies in the analysis results. To address this issue, we need

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9

Connolly, R. D., J. Schirmer, and P. K. Dunn. "A daily rainfall disaggregation model." Agricultural and Forest Meteorology 92, no. 2 (1998): 105–17. http://dx.doi.org/10.1016/s0168-1923(98)00088-4.

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10

Sumner, G., C. Ramis, and J. A. Guijarro. "Daily rainfall domains in Mallorca." Theoretical and Applied Climatology 51, no. 4 (1995): 199–221. http://dx.doi.org/10.1007/bf00867280.

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11

Yoo, Chulsang, Jae-Soo Lee, and Yong-Nam Yoon. "Climatological Thresholds of Daily Rainfall." Journal of Hydrologic Engineering 6, no. 5 (2001): 443–49. http://dx.doi.org/10.1061/(asce)1084-0699(2001)6:5(443).

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12

Palumbo, A. "Lunar daily variations in rainfall." Journal of Atmospheric and Terrestrial Physics 48, no. 2 (1986): 145–48. http://dx.doi.org/10.1016/0021-9169(86)90078-4.

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13

Jakubowski, W. "A daily rainfall occurrence process." Stochastic Hydrology and Hydraulics 2, no. 1 (1988): 1–16. http://dx.doi.org/10.1007/bf01544190.

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14

JOLLIFFE, IAN T., and PETER B. HOPE. "REPRESENTATION OF DAILY RAINFALL DISTRIBUTIONS USING NORMALIZED RAINFALL CURVES." International Journal of Climatology 16, no. 10 (1996): 1157–63. http://dx.doi.org/10.1002/(sici)1097-0088(199610)16:10<1157::aid-joc71>3.0.co;2-r.

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15

DOMRQES, MANFRED, and EDMOUND RANATUNGE. "Daily rainfall persistence over Sri Lanka." MAUSAM 44, no. 3 (2022): 281–86. http://dx.doi.org/10.54302/mausam.v44i3.3869.

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The spatial distribution of daily rainfall persistence is examined adopting Besson's persistence coefficient and using daily rainfall data for 15 consecutive years (1971-1985). The daily rainfall persistence coefficients have been studied separately for all the twelve months individually and for the whole year. Where January and February indicate the lowest rainfall persistence coefficients the period from October to December indicates the highest coefficients over Sri Lanka. Besides the monsoonal atmospheric conditions, the topography has a strong influence on the rainfall persistence distrib

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16

Laz, Orpita U., Ataur Rahman, Abdullah Yilmaz, and Khaled Haddad. "Trends in sub-hourly, sub-daily and daily extreme rainfall events in eastern Australia." Journal of Water and Climate Change 5, no. 4 (2014): 667–75. http://dx.doi.org/10.2166/wcc.2014.035.

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Intensity and frequency of extreme rainfall are expected to change in future due to anthropogenic climate change; however, this change may not be uniform across spatial and temporal scale. This paper examines the trends of sub-hourly, sub-daily and daily extreme rainfall events from 38 rainfall stations located in southeast Australia. Two non-parametric tests (Mann–Kendall and Spearman Rho) were applied to detect trends at 10, 5 and 1% significance levels. The sub-hourly (6, 12, 18 and 30 min) and sub-daily (1, 2 and 6 h) annual maximum rainfall events generally showed an upward (positive) tre

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17

Yue, Sheng, and Michio Hashino. "Cumulant estimation of daily runoff from daily rainfall sequences." Doboku Gakkai Ronbunshu, no. 533 (1996): 41–50. http://dx.doi.org/10.2208/jscej.1996.533_41.

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18

Suaydhi, Suaydhi. "Characteristics of daily rainfall over the Maritime Continent." Journal of Science and Science Education 2, no. 1 (2018): 29–39. http://dx.doi.org/10.24246/josse.v2i1p29-39.

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Daily rainfall characteristics is important in the anticipation of natural hazard events, such as floods and landslides. In this study, daily rainfall data from the Global Precipitation Climatology Project One Degree Daily (GPCP1DD) dataset are used to analyze the rainfall frequency, intensity and extreme rainfall indicators over the Indonesian Maritime Continent. A threshold of 1 mm is used to define a wet day. The analysis is conducted over the whole domain and several sub domains. It is revealed that the rainfall patterns over Indonesia are shaped by the frequency distribution of rainfall i

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19

Ram, Bhavin, Murari Lal Gaur, and Devraj Thakor. "Investigation on Variability, Broader Types and Patterns of Daily and Sub-daily Rains Using Satellite Sub-Daily Rainfall Records based in Western Indian Province." International Journal of Bio-resource and Stress Management 14, Feb, 2 (2023): 229–36. http://dx.doi.org/10.23910/1.2023.3282a.

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The present study was conducted during 2021 at middle Gujarat. The objectives of the study remained inclined towards the challenging task, where limited observed rainfall records (daily and sub-daily both) were utilized to project corresponding regional design hyetographs for providing the design hyetographs at similar ungauged sites in the region. This script explores suitability, appropriateness and end efficacies of blended (ground based as well as remotely sensed) precipitation data attained for a data deprived region, which was ultimately utilized to derive location specific rainfall curv

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20

Oh, Tae-Suk, and Young-Il Moon. "Characteristic Change Analysis of Rainfall Events using Daily Rainfall Data." Journal of Korea Water Resources Association 42, no. 11 (2009): 933–51. http://dx.doi.org/10.3741/jkwra.2009.42.11.933.

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21

Yu, B., and CJ Rosewell. "Rainfall erosivity estimation using daily rainfall amounts for South Australia." Soil Research 34, no. 5 (1996): 721. http://dx.doi.org/10.1071/sr9960721.

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The rainfall erosivity model relating storm erosivity to daily rainfall amounts was tested for 4 sites in South Australia where seasonal rainfall erosivity is generally out of phase with seasonal rainfall because of the predominant winter rainfall. The model worked reasonably well, with the coefficient of efficiency varying from 0.54 to 0.77, and the average discrepancy between actual and estimated monthly distribution was no more than 3%. The model performance in the winter rainfall area is similar to that in the uniform and summer rainfall areas. A set of regional parameter values estimated

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22

Mpelasoka, Freddie S., and Francis H. S. Chiew. "Influence of Rainfall Scenario Construction Methods on Runoff Projections." Journal of Hydrometeorology 10, no. 5 (2009): 1168–83. http://dx.doi.org/10.1175/2009jhm1045.1.

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Abstract The future rainfall series used to drive hydrological models in most climate change impact studies is informed by global climate models (GCMs). This paper compares future runoff projections in ∼11 000 0.25° grid cells across Australia from a daily rainfall–runoff model driven with future daily rainfall series obtained using three simple scaling methods, informed by 14 GCMs. In the constant scaling and daily scaling methods, the historical daily rainfall series is scaled by the relative difference between GCM simulations for the future and historical climates. The constant scaling meth

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23

Van Nguyen, Van-Thanh, and Ganesh Raj Pandey. "Estimation of Short-Duration Rainfall Distribution Using Data Measured at Longer Time Scales." Water Science and Technology 29, no. 1-2 (1994): 39–45. http://dx.doi.org/10.2166/wst.1994.0649.

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An investigation on how to estimate the distribution of short-duration (hours or shorter) rainfalls based on available daily rainfall measurements was undertaken. On the basis of the theory of multifractal multiplicative cascades, a scale-independent mathematical model was proposed to represent the probability distribution of rainfalls at various time scales. Using rainfall records from a network of seven recording gauges in the Montreal region in Quebec (Canada), it was found that the proposed model could provide adequate estimates of the distribution of hourly rainfalls at locations where th

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24

Lewis, Elizabeth, Hayley Fowler, Lisa Alexander, et al. "GSDR: A Global Sub-Daily Rainfall Dataset." Journal of Climate 32, no. 15 (2019): 4715–29. http://dx.doi.org/10.1175/jcli-d-18-0143.1.

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Abstract Extreme short-duration rainfall can cause devastating flooding that puts lives, infrastructure, and natural ecosystems at risk. It is therefore essential to understand how this type of extreme rainfall will change in a warmer world. A significant barrier to answering this question is the lack of sub-daily rainfall data available at the global scale. To this end, a global sub-daily rainfall dataset based on gauged observations has been collated. The dataset is highly variable in its spatial coverage, record length, completeness and, in its raw form, quality. This presents significant d

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25

Muna, Siti Umamah Naili. "Crop Insurance Model Based on Maximum Daily Rainfall and Maximum Daily Temperature Index." ASTONJADRO 12, no. 2 (2023): 599–612. http://dx.doi.org/10.32832/astonjadro.v12i2.13207.

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A loss insurance model of risk for agricultural commodities that considers maximum daily rainfall and maximum daily temperature is introduced in this paper. This model requires bivariate distribution of maximum daily rainfall and maximum daily temperature in a specific region. Characteristics of particular agricultural commodity is also needed in the region where the two variables are being insured. The bivariate distribution and commodity characteristics are combined to obtain exit. exit is a benchmark value that causes the total crop failure and gives full benefit claim to policyholder. The

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26

Bhonde, Kanchan A., Snehal Yeole, Kartik Jawanjal, Mayank Modi, Aditya Panchwagh, and Aditya Paprunia. "Assessment of Accuracy of Indian Almanac for Daily Rainfall Prediction." Indian Journal Of Science And Technology 15, no. 32 (2022): 1548–60. http://dx.doi.org/10.17485/ijst/v15i32.1743.

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27

KRISHNAN, R., N. GOPALASWAMY, C. R. RANGANATHAN, S. NATARAJAN, and T. N. BALASUBRAMANIAN. "ANALYSIS OF DAILY RAINFALL OF COIMBATORE." MAUSAM 46, no. 1 (2022): 89–92. http://dx.doi.org/10.54302/mausam.v46i1.3208.

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28

Permai, S. D., M. Ohyver, and M. K. B. M. Aziz. "Daily rainfall modeling using Neural Network." Journal of Physics: Conference Series 1988, no. 1 (2021): 012040. http://dx.doi.org/10.1088/1742-6596/1988/1/012040.

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29

Smith, James A. "Statistical modeling of daily rainfall occurrences." Water Resources Research 23, no. 5 (1987): 885–93. http://dx.doi.org/10.1029/wr023i005p00885.

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30

Nadarajah, Saralees, and Dongseok Choi. "Maximum daily rainfall in South Korea." Journal of Earth System Science 116, no. 4 (2007): 311–20. http://dx.doi.org/10.1007/s12040-007-0028-0.

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31

Teng, Tse-Yu, Tzu-Ming Liu, Yu-Shiang Tung, and Ke-Sheng Cheng. "Converting Climate Change Gridded Daily Rainfall to Station Daily Rainfall—A Case Study at Zengwen Reservoir." Water 13, no. 11 (2021): 1516. http://dx.doi.org/10.3390/w13111516.

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With improvements in data quality and technology, the statistical downscaling data of General Circulation Models (GCMs) for climate change impact assessment have been refined from monthly data to daily data, which has greatly promoted the data application level. However, there are differences between GCM downscaling daily data and rainfall station data. If GCM data are directly used for hydrology and water resources assessment, the differences in total amount and rainfall intensity will be revealed and may affect the estimates of the total amount of water resources and water supply capacity. T

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32

Zakaria, Ahmad. "Correlation of BMKG with TRMM for daily and monthly rainfall series in Banten region." Journal of Engineering and Scientific Research 4, no. 1 (2022): 1–7. http://dx.doi.org/10.23960/jesr.v4i1.78.

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Daily and monthly rainfall data series are necessary data for planning purposes in Civil Engineering and other fields. Incomplete rainfall data often occurs, so that rainfall data must be estimated based on rainfall data from several other nearby locations. The addition of rainfall data can lead to inaccurate planning. Rainfall data used for planning in the civil engineering sector is usually taken from the BMKG station. This data is taken from the rainfall station above the ground. Besides, that can also produce rainfall data from TRMM. Can take rainfall data from TRMM at all locations

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Tait, Andrew, and Richard Turner. "Generating Multiyear Gridded Daily Rainfall over New Zealand." Journal of Applied Meteorology 44, no. 9 (2005): 1315–23. http://dx.doi.org/10.1175/jam2279.1.

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Abstract Daily rainfall totals are a key input for hydrological models that are designed to simulate water and pollutant flow through both soil and waterways. Within New Zealand there are large areas and many river catchments where no long-term rainfall observations exist. A method for estimating daily rainfall over the whole of New Zealand on a 5-km grid is described and tested over a period from January 1985 to April 2002. Improvement over a spatial interpolation method was gained by scaling high-elevation rainfall estimates using simulated mesoscale model rainfall surfaces that are generate

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Silva Neto, Virgilio Lourenço da, Marcelo Ribeiro Viola, Demetrius David da Silva, Carlos Rogério de Mello, Silvio Bueno Pereira, and Marcos Giongo. "Daily rainfall disaggregation for Tocantins State, Brazil." Ambiente e Agua - An Interdisciplinary Journal of Applied Science 12, no. 4 (2017): 605. http://dx.doi.org/10.4136/ambi-agua.2077.

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In order to design effective Brazilian hydraulic structures, it is necessary to obtain data relating to short-duration intense rainfall from historical series of daily rainfall. This recurring need can be fulfilled by rainfall disaggregation methodology. The objective of this study was to determine the intense rainfall disaggregation constants for the State of Tocantins and to compare these constants with those obtained for other regions of Brazil. For the modeling of the frequency of intense rainfall of different durations of less than 24 hours, the Gumbel probability distribution (GPD) was e

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Vemula, Swathi, K. Srinivasa Raju, and S. Sai Veena. "Modelling impact of future climate and land use land cover on flood vulnerability for policy support – Hyderabad, India." Water Policy 22, no. 5 (2020): 733–47. http://dx.doi.org/10.2166/wp.2020.106.

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Abstract The study analyses the impact of climate change and land use land cover (LULC) on runoff of Hyderabad city, India for the years 1995, 2005, 2016 and 2031. Flood vulnerability was evaluated for extreme historic and future rainfall events. Maximum daily rainfalls of 132, 181 and 165 mm that occurred in the decades of 1990–2000, 2001–2010 and 2011–2016 were considered for historic rainfall–runoff modelling. Complementarily in climate change, maximum daily rainfall of 266 mm predicted during 2020–2040 by Geophysical Fluid Dynamics Laboratory-Coupled Model 3 (GFDL-CM3) Representative Conce

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36

Moate, Peter J., Jennie E. Pryce, Leah C. Marett, et al. "Measurement of Enteric Methane Emissions by the SF6 Technique Is Not Affected by Ambient Weather Conditions." Animals 11, no. 2 (2021): 528. http://dx.doi.org/10.3390/ani11020528.

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Despite the fact that the sulphur hexafluoride (SF6) tracer technique was developed over 25 years ago to measure methane production from grazing and non-housed animals, no studies have specifically investigated whether ambient wind speed, temperature, relative humidity and rainfall influence the accuracy of the method. The aim of this research was to investigate how these weather factors influence the measurement of enteric methane production by the SF6 technique. Six different cohorts of dairy cows (40 per cohort) were kept outdoors and fed a common diet during spring in 3 consecutive years.

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37

AGASHE, P. S., and K. V. PADGALWAR. "On some characteristic features of daily rainfall over Madhya Maharashtra." MAUSAM 56, no. 3 (2022): 571–80. http://dx.doi.org/10.54302/mausam.v56i3.986.

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Information in processed form, is often needed to meet the demands in agriculture, hydrology and other water-related human activities. In this context, daily rainfall continue to be of prime importance since it is the daily rainfall which, when accumulated gives weekly, monthly or seasonal totals. This paper deals with some of the characteristic features of daily rainfall at nine selected stations in Madhya Maharashtra. The study is based on daily rainfall data of June to September months for 10 years (1991-2000). Depending upon rainfall amounts (or lack of it), a day has been categorize

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38

Diez-Sierra, Javier, and Manuel del Jesus. "Subdaily Rainfall Estimation through Daily Rainfall Downscaling Using Random Forests in Spain." Water 11, no. 1 (2019): 125. http://dx.doi.org/10.3390/w11010125.

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Subdaily rainfall data, though essential for applications in many fields, is not as readily available as daily rainfall data. In this work, regression approaches that use atmospheric data and daily rainfall statistics as predictors are evaluated to downscale daily-to-subdaily rainfall statistics on more than 700 hourly rain gauges in Spain. We propose a new approach based on machine learning techniques that improves the downscaling skill of previous methodologies. Results are grouped by climate types (following the Köppen–Geiger classification) to investigate possible missing explanatory varia

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Lee, Jeonghoon, and Sangdan Kim. "Temporal Disaggregation of Daily Rainfall data using Stochastic Point Rainfall Model." Journal of the Korean Society of Hazard Mitigation 18, no. 2 (2018): 493–503. http://dx.doi.org/10.9798/kosham.2018.18.2.493.

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Diodato, Nazzareno, and Gianni Bellocchi. "Using Historical Precipitation Patterns to Forecast Daily Extremes of Rainfall for the Coming Decades in Naples (Italy)." Geosciences 8, no. 8 (2018): 293. http://dx.doi.org/10.3390/geosciences8080293.

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The coasts of the Italian peninsula have been recently affected by frequent damaging hydrological events driven by intense rainfall and deluges. The internal climatic mechanisms driving rainfall variability that generate these hydrological events in the Mediterranean are not fully understood. We investigated the simulation skill of a soft-computing approach to forecast extreme rainfalls in Naples (Italy). An annual series of daily maximum rainfall spanning the period between 1866 and 2016 was used for the design of ensemble projections in order to understand and quantify the uncertainty associ

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Perdana, Damar Adi, Ahmad Zakaria, and Sumiharni Sumiharni. "Studi Pemodelan Curah hujan sintetik dari beberapa stasiun di wilayah Pringsewu." Jurnal Rekayasa Sipil dan Desain 3, no. 1 (2015): 45–56. https://doi.org/10.23960/jrsdd.v3i1.386.

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This research conducted to study the characteristics of daily rainfall and model making ofsynthetic daily rainfall in Pringsewu regency using periodic model, stochastic model and periodicstochastic models. This research conducted using daily rainfall data with length of 1984-2013from three rainfall stations, Pringsewu, Wonokriyo and Banyuwangi rainfall stations.These models performed by using 512 days annual data. Using rainfall frequency obtained andapplying the spectral method and the least squares method, it can be generated the daily rainfallperiodic models. Rainfall stochastic model assum

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42

Caçadini Bizerra da Silva, Leonardo, Juliana Vilardo Mendes, Patrick do Nascimento da Silva, and Nubia Beray Armond. "Spatial analysis of daily rainfall concentration in Paraíba State, Brazil." RAEGA - O Espaço Geográfico em Análise 61 (December 18, 2024): 3–28. https://doi.org/10.5380/raega.v61i1.97551.

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Recent studies indicate a reduction of total rainfall and an increase of extreme rainfall events in the Brazilian Northeast region. It is crucial to understand the concentration of daily rainfall for environmental planning and land management. This study performs the analysis of the daily rainfall concentration for the Paraíba State in the period between 1970 and 2019, using data from 26 rainfall stations across the State. Additionally, to the total annual precipitation (PP), the following concentration indicators were applied: frequency of days with precipitation up to 20mm (R20MM), maximum d

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43

Giarno, G., Muhammad Pramono Hadi, Slamet Suprayogi, and Sigit Heru Murti. "Distribution of Accuracy of TRMM Daily Rainfall in Makassar Strait." Forum Geografi 32, no. 1 (2018): 38–52. http://dx.doi.org/10.23917/forgeo.v32i1.5774.

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This research aims to evaluate rainfall estimates of satellite products in regions that have high variations of rainfall pattern. The surrounding area of Makassar Strait have chosen because of its distinctive rainfall pattern between the eastern and western parts of the Makassar Strait. For this purpose, spatial distribution of Pearson’s coefficient correlation and Root Mean Square Error (RMSE) is used to evaluate accuracy of rainfall in the eastern part of Kalimantan Island and the western part of Sulawesi Island. Moreover, we also used the contingency table to complete the parameter accuracy

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Cheng, Chad Shouquan, Guilong Li, Qian Li, and Heather Auld. "A Synoptic Weather Typing Approach to Simulate Daily Rainfall and Extremes in Ontario, Canada: Potential for Climate Change Projections." Journal of Applied Meteorology and Climatology 49, no. 5 (2010): 845–66. http://dx.doi.org/10.1175/2010jamc2016.1.

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Abstract An automated synoptic weather typing and stepwise cumulative logit/nonlinear regression analyses were employed to simulate the occurrence and quantity of daily rainfall events. The synoptic weather typing was developed using principal component analysis, an average linkage clustering procedure, and discriminant function analysis to identify the weather types most likely to be associated with daily rainfall events for the four selected river basins in Ontario. Within-weather-type daily rainfall simulation models comprise a two-step process: (i) cumulative logit regression to predict th

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Vaze, J., D. A. Post, F. H. S. Chiew, J. M. Perraud, J. Teng, and N. R. Viney. "Conceptual Rainfall–Runoff Model Performance with Different Spatial Rainfall Inputs." Journal of Hydrometeorology 12, no. 5 (2011): 1100–1112. http://dx.doi.org/10.1175/2011jhm1340.1.

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Abstract Different methods have been used to obtain the daily rainfall time series required to drive conceptual rainfall–runoff models, depending on data availability, time constraints, and modeling objectives. This paper investigates the implications of different rainfall inputs on the calibration and simulation of 4 rainfall–runoff models using data from 240 catchments across southeast Australia. The first modeling experiment compares results from using a single lumped daily rainfall series for each catchment obtained from three methods: single rainfall station, Thiessen average, and average

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Aryal, Santosh K., Bryson C. Bates, Edward P. Campbell, Yun Li, Mark J. Palmer, and Neil R. Viney. "Characterizing and Modeling Temporal and Spatial Trends in Rainfall Extremes." Journal of Hydrometeorology 10, no. 1 (2009): 241–53. http://dx.doi.org/10.1175/2008jhm1007.1.

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Abstract A hierarchical spatial model for daily rainfall extremes that characterizes their temporal variation due to interannual climatic forcing as well as their spatial pattern is proposed. The model treats the parameters of at-site probability distributions for rainfall extremes as “data” that are likely to be spatially correlated and driven by atmospheric forcing. The method is applied to daily rainfall extremes for summer and winter half years over the Swan–Avon River basin in Western Australia. Two techniques for the characterization of at-site extremes—peaks-over-threshold (POT) analysi

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د. فهدة فلاح بن حشر, د. فهدة فلاح بن حشر. "Estimation and analysis of the effective rainfall In Tabuk area – Saudi Arabia." journal of King Abdulaziz University Arts And Humanities 28, no. 14 (2020): 142–86. http://dx.doi.org/10.4197/art.28-14.4.

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this study examined the effective rainfall in Tabuk area by applying the Lang rainfall factor, De Martonne Index and the (UNEP) arid index. The study methodology was based on a statistical tests using the Normality test (Shapiro-Wilk), the Homogeneity test (Leven test), the ANOVA (LSD test) of the monthly mean of rainfall, the daily maximum rainfall and the total number of rainfall days. The multiple comparison (Tehmane’s Test) had been applied between the studied stations. The results of the Shapiro-Wilk test shows that the distribution of monthly rainfall averages follows normal distribution

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Vishnu, Chakrapani Lekha, Thomas Oommen, Snehamoy Chatterjee, and Kochappi Sathyan Sajinkumar. "Addressing the Effect of Intra-Seasonal Variations in Developing Rainfall Thresholds for Landslides: An Antecedent Rainfall-Based Approach." GeoHazards 5, no. 3 (2024): 634–51. http://dx.doi.org/10.3390/geohazards5030033.

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We developed a rainfall threshold model with the objective of limiting the effects of uncertainties typically associated with them, such as a lack of robust landslide database, the selection of the contributing rain gauge, seasonal variations in rainfall patterns, and the effect of extreme rainfall conditions. With the aid of gauge-corrected satellite precipitation data and a landslide database compiled from various sources, separate rainfall thresholds were developed for two waves of the monsoon season in the Western Ghats, India. The daily vs. antecedent rainfall distributions for different

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Espinosa, Luis Angel, Maria Manuela Portela, João Dehon Pontes Filho, and Martina Zelenakova. "Bivariate Modelling of a Teleconnection Index and Extreme Rainfall in a Small North Atlantic Island." Climate 9, no. 5 (2021): 86. http://dx.doi.org/10.3390/cli9050086.

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This paper explores practical applications of bivariate modelling via copulas of two likely dependent random variables, i.e., of the North Atlantic Oscillation (NAO) coupled with extreme rainfall on the small island of Madeira, Portugal. Madeira, due to its small size (∼740 km2), very pronounced mountain landscape, and location in the North Atlantic, experiences a wide range of rainfall regimes, or microclimates, which hamper the analyses of extreme rainfall. Previous studies showed that the influence of the North Atlantic Oscillation (NAO) on extreme rainfall is at its largest in the North At

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Jakob, D., D. J. Karoly, and A. Seed. "Non-stationarity in daily and sub-daily intense rainfall – Part 2: Regional assessment for sites in south-east Australia." Natural Hazards and Earth System Sciences 11, no. 8 (2011): 2273–84. http://dx.doi.org/10.5194/nhess-11-2273-2011.

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Abstract. Using data for a common period (1976–2005) for a set of 31 sites located in south-east Australia, variations in frequency and magnitude of intense rainfall events across durations from 6 min to 72 h were assessed. This study was driven by a need to clarify how variations in climate might affect intense rainfall and the potential for flooding. Sub-daily durations are of particular interest for urban applications. Worldwide, few such observation-based studies exist, which is mainly due to limitations in data. Analysis of seasonality in frequency and magnitude of events revealed conside

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