Results 271 to 280 of about 432,888 (304)
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Changepoint detection in daily precipitation data

Environmetrics, 2012
This paper introduces a method to identify an undocumented changepoint time in a daily precipitation series. A two‐state Markov chain is used to induce dependence in the precipitation amounts; our dynamics allow for seasonality in the daily observations, a structure inherent to many nonequatorial region series.
Colin Gallagher   +2 more
openaire   +1 more source

On the Conditional Distribution of Daily Precipitation Amounts

Monthly Weather Review, 1980
Abstract Possible conditional dependence of the distribution of daily precipitation amounts on the occurrence of precipitation on the preceding day is examined. Test results based on 25 years of data at 30 stations in the conterminous United States show that such dependence exists only in the winter season over the Pacific Northwest.
Edwin H. Chin, John F. Miller
openaire   +1 more source

Objective prediction of daily precipitation and cloudiness

Journal of Geophysical Research, 1965
The relation between present weather and concurrent daily 700-mb circulation is studied for the winter season in the United States. All weather data are averaged within 40 climatologically homogeneous circles and expressed as a numerical index giving the proportion of precipitation or cloudiness within each circle at map time.
William H. Klein   +2 more
openaire   +1 more source

Stochastic modeling of daily precipitation in China

Journal of Geographical Sciences, 2004
A stochastic model for daily precipitation simulation in China was developed based on the framework of a ‘Richardson-type’ weather generator that is an important tool in studying impacts of weather/climate on a variety of systems including ecosystem and risk assessment.
Liao Yaoming, Zhang Qiang, Chen Deliang
openaire   +1 more source

Basic structure of daily precipitation series

Journal of Hydrology, 1983
Abstract Daily precipitation series exhibit intermittency, periodicity and stochasticity. To show it, three stations are used as examples. All series parameters, even descriptors of intermittency (probability of zero precipitation, run-lengths of zero and non-zero values), are highly periodic.
Vujica Yevjevich, T.G.J. Dyer
openaire   +1 more source

Atmospheric circulation and daily precipitation in Wales

Theoretical and Applied Climatology, 1992
Daily precipitation affinity areas are established for Wales by means of S-mode Principal Components Analysis (PCA) and Cluster Analysis, using data for the autumn-winter (September-January) period, 1982–87, subset according to surface wind direction.
M. Bonell, G. Sumner
openaire   +1 more source

Statistical model for daily precipitation

1984
Daily records of precipitation measured in Modena (Po Plain in Italy) since March 1830, were analyzed in the framework of a stochastic bivariate model. The following stochastic variables were chosen: q, equivalent height of water precipitated during the wet day; d, number of dry days which precede the wet day.
MORELLI, Sandra, SANTANGELO, Renato
openaire   +1 more source

Daily Precipitation Prediction Based on Multimodal Representation

2023 IEEE International Conference on Consumer Electronics (ICCE), 2023
Guohan Wu, Chi-Hua Chen
openaire   +1 more source

Trends in Total Precipitation and Frequency of Daily Precipitation Extremes over China

Journal of Climate, 2005
Abstract Based on a newly developed daily precipitation dataset of 740 stations in China and more robust trend detection techniques, trends in annual and seasonal total precipitation and in extreme daily precipitation, defined as those larger than its 95th percentile for the year, summer, and winter half years, have been assessed for the
Panmao Zhai   +3 more
openaire   +1 more source

Variability of daily precipitation over Nigeria

Meteorology and Atmospheric Physics, 2014
This study identified coherent daily precipitation regions in Nigeria by analyzing the spatial and temporal homogeneity of daily precipitation; investigating the dependence of wet day amount (WDAMT) and percentage of wet day (PWD) on latitude, longitude, elevation and distance from the ocean and finally regionalizing the daily precipitation stations ...
openaire   +1 more source

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