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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1886 1
1958 1
1960 1
1961 1
1962 1
1969 1
1971 2
1972 2
1973 1
1975 5
1976 4
1977 8
1978 6
1979 10
1980 6
1981 4
1982 1
1983 4
1984 5
1985 11
1986 5
1987 7
1988 8
1989 10
1990 13
1991 15
1992 16
1993 16
1994 5
1995 11
1996 20
1997 19
1998 34
1999 17
2000 33
2001 45
2002 49
2003 45
2004 66
2005 59
2006 80
2007 94
2008 87
2009 105
2010 125
2011 118
2012 174
2013 182
2014 189
2015 211
2016 244
2017 246
2018 257
2019 315
2020 344
2021 403
2022 393
2023 399
2024 152

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4,183 results

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Page 1
Spatial-temporal characterization of rainfall in Pakistan during the past half-century (1961-2020).
Ali G, Sajjad M, Kanwal S, Xiao T, Khalid S, Shoaib F, Gul HN. Ali G, et al. Sci Rep. 2021 Mar 25;11(1):6935. doi: 10.1038/s41598-021-86412-x. Sci Rep. 2021. PMID: 33767320 Free PMC article.
Herein, we evaluate spatial-temporal rainfall trends and patterns in Pakistan for 1961-2020 using nationwide data from 82 rainfall stations. ...Hence, EBKRP was used to produce and utilize the first normal annual rainfall map of Pakistan for evaluating spatia …
Herein, we evaluate spatial-temporal rainfall trends and patterns in Pakistan for 1961-2020 using nationwide data from 82 rainfall …
Bayesian estimation of rainfall dispersion in Thailand using gamma distribution with excess zeros.
Khooriphan W, Niwitpong SA, Niwitpong S. Khooriphan W, et al. PeerJ. 2022 Sep 16;10:e14023. doi: 10.7717/peerj.14023. eCollection 2022. PeerJ. 2022. PMID: 36132216 Free PMC article.
The gamma distribution is commonly used to model environmental data. However, rainfall data often contain zero observations, which violates the assumption that all observations must be positive in a gamma distribution, and so a gamma model with excess zeros t …
The gamma distribution is commonly used to model environmental data. However, rainfall data often contain zero observations, w …
A warming-induced reduction in snow fraction amplifies rainfall extremes.
Ombadi M, Risser MD, Rhoades AM, Varadharajan C. Ombadi M, et al. Nature. 2023 Jul;619(7969):305-310. doi: 10.1038/s41586-023-06092-7. Epub 2023 Jun 28. Nature. 2023. PMID: 37380773
Furthermore, we demonstrate that intermodel uncertainty in projections of rainfall extremes can be appreciably explained by changes in snow-rain partitioning (coefficient of determination 0.47). ...Moreover, our results offer a pathway towards reducing model uncertainty in …
Furthermore, we demonstrate that intermodel uncertainty in projections of rainfall extremes can be appreciably explained by changes i …
Effects of rainfall on human leptospirosis in Thailand: evidence of multi-province study using distributed lag non-linear model.
Phosri A. Phosri A. Stoch Environ Res Risk Assess. 2022;36(12):4119-4132. doi: 10.1007/s00477-022-02250-x. Epub 2022 Jun 4. Stoch Environ Res Risk Assess. 2022. PMID: 35692716 Free PMC article.
Many previous studies in Thailand have revealed the outbreak of human leptospirosis after heavy rainfall, but research determining its quantitative risks associated with rainfall, especially at the national level, remains limited. This study aims to examine the asso …
Many previous studies in Thailand have revealed the outbreak of human leptospirosis after heavy rainfall, but research determining it …
Adaptation capability of rainfall hotspots in water resilient cities using QGIS: a case study of Taichung City in Taiwan.
Cheng MJ, Sia WL, Liao FC, Chang LS. Cheng MJ, et al. Environ Monit Assess. 2022 Feb 24;194(3):219. doi: 10.1007/s10661-022-09859-z. Environ Monit Assess. 2022. PMID: 35201445
The study site is located in the Taichung area. This study collects rainfall data from rainfall stations at elevations below 500 m, employs QGIS (quantum GIS) to create an inverse distance weighted graphical distribution of rainfall to determine the ho …
The study site is located in the Taichung area. This study collects rainfall data from rainfall stations at elevations below 5 …
Trends of Dengue Disease Epidemiology.
Cucunawangsih, Lugito NPH. Cucunawangsih, et al. Virology (Auckl). 2017 Mar 15;8:1178122X17695836. doi: 10.1177/1178122X17695836. eCollection 2017. Virology (Auckl). 2017. PMID: 28579763 Free PMC article. Review.
Dengue disease is an emerging mosquito-borne viral infection transmitted between humans by Aedes spp. that are distributed mainly in the tropical and subtropical region along with chikungunya and zika diseases. The distribution of dengue disease is influenced by loc …
Dengue disease is an emerging mosquito-borne viral infection transmitted between humans by Aedes spp. that are distributed mainly in …
Gridded daily rainfall data for Ghana for the period 1960 - 2015: Approach and validation process.
Ampofo S, Annor T, Aryee JNA, Agyekum J, Amekudzi LK. Ampofo S, et al. Data Brief. 2023 Apr 5;48:109115. doi: 10.1016/j.dib.2023.109115. eCollection 2023 Jun. Data Brief. 2023. PMID: 37122919 Free PMC article.
This is particularly so with agricultural output determination in much of Africa with Ghana not exemption, where data is required for intra and inter-seasonal assessment of the impact of rainfall on yield. However, the sparse and limited distribution data from gauge …
This is particularly so with agricultural output determination in much of Africa with Ghana not exemption, where data is required for intra …
Bayesian estimation for the mean of delta-gamma distributions with application to rainfall data in Thailand.
Kaewprasert T, Niwitpong SA, Niwitpong S. Kaewprasert T, et al. PeerJ. 2022 May 18;10:e13465. doi: 10.7717/peerj.13465. eCollection 2022. PeerJ. 2022. PMID: 35607452 Free PMC article.
Precipitation and flood forecasting are difficult due to rainfall variability. The mean of a delta-gamma distribution can be used to analyze rainfall data for predicting future rainfall, thereby reducing the risks of future disasters due to excessive o …
Precipitation and flood forecasting are difficult due to rainfall variability. The mean of a delta-gamma distribution can be u …
Simultaneous confidence intervals for all pairwise differences between the coefficients of variation of rainfall series in Thailand.
Yosboonruang N, Niwitpong SA, Niwitpong S. Yosboonruang N, et al. PeerJ. 2021 Jun 23;9:e11651. doi: 10.7717/peerj.11651. eCollection 2021. PeerJ. 2021. PMID: 34221731 Free PMC article.
The delta-lognormal distribution is a combination of binomial and lognormal distributions, and so rainfall series that include zero and positive values conform to this distribution. The coefficient of variation is a good tool for measuring the dispersi …
The delta-lognormal distribution is a combination of binomial and lognormal distributions, and so rainfall series that …
Estimation of common percentile of rainfall datasets in Thailand using delta-lognormal distributions.
Thangjai W, Niwitpong SA, Niwitpong S. Thangjai W, et al. PeerJ. 2022 Dec 7;10:e14498. doi: 10.7717/peerj.14498. eCollection 2022. PeerJ. 2022. PMID: 36523461 Free PMC article.
In this article, the confidence intervals for the common percentile are constructed to estimate rainfall in Thailand. The confidence interval for the common percentile help to indicate intensity of rainfall. Herein, four new approaches for estimating confidence inte …
In this article, the confidence intervals for the common percentile are constructed to estimate rainfall in Thailand. The confidence …
4,183 results