scholarly journals Multifractal structure of the monthly rainfall regime in Catalonia (NE Spain): Evaluation of the non-linear structural complexity

2020 ◽  
Vol 30 (7) ◽  
pp. 073117 ◽  
Author(s):  
X. Lana ◽  
R. Rodríguez-Solà ◽  
M. D. Martínez ◽  
M. C. Casas-Castillo ◽  
C. Serra ◽  
...  
Keyword(s):  
Structural Complexity ◽  
Monthly Rainfall ◽  
Rainfall Regime ◽  
Non Linear ◽  
Ne Spain

scholarly journals Rainfall regime trends at annual and monthly scales in Catalonia (NE Spain) and indications of CO2 emissions effects

2021 ◽  
Author(s):  
Xavier Lana ◽  
M. Carmen Casas-Castillo ◽  
Raül Rodríguez-Solà ◽  
Carina Serra ◽  
M. Dolors Martínez ◽  
...  
Keyword(s):  
Time Trends ◽  
Statistical Significance ◽  
Threshold Level ◽  
Western Mediterranean ◽  
Rainfall Regime ◽  
Rain Gauges ◽  
Dry Spells ◽  
Greenhouse Effects ◽  
Annual Scale ◽  
Ne Spain

AbstractThe pluviometric regime in the Western Mediterranean and concretely in Catalonia (NE Spain) is characterised by irregular amounts at monthly and annual scales, sometimes with copious short episodes causing floods and, conversely, sometimes with long dry spells exceeding 1 month length, depending on the chosen threshold level to define the dry episode. Taking advantage of a dense network of rain gauges, most of them with records length of 50–60 years and some others exceeding 85 years, the evolution of these monthly and annual amounts is quantified by means of their time trends, statistical significance and several irregularity parameters. In agreement with the evolution of the CO2 emissions into the atmosphere and the increasing concentration, in parts per million (ppm), of this greenhouse gas, different time trends at annual scale have been detected up to approximately years 1960–1970 in comparison with the interval 1960–1970 to nowadays. Consequently, besides the greenhouse effects on the temperature regime, the influence on the pluviometric regime could not be negligible. Graphical abstract

scholarly journals Autoregressive process of monthly rainfall amounts in Catalonia ( NE Spain) and improvements on predictability of length and intensity of drought episodes

2020 ◽  
Author(s):  
Xavier Lana ◽  
Raül Rodríguez‐Solà ◽  
M. Dolors Martínez ◽  
M. Carmen Casas‐Castillo ◽  
Carina Serra ◽  
...  
Keyword(s):  
Autoregressive Process ◽  
Monthly Rainfall ◽  
Ne Spain

scholarly journals Time Series Analysis and Forecasting of Rainfall for Agricultural Crops in India: An Application of Artificial Neural Network

2020 ◽  
Vol 12 (4) ◽  
pp. 1
Author(s):  
Debasis Mithiya ◽  
Kumarjit Mandal ◽  
Simanti Bandyopadhyay
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Artificial Neural Network ◽  
Time Series Analysis ◽  
Linear Model ◽  
Agricultural Production ◽  
Linear Models ◽  
Monthly Rainfall ◽  
Series Analysis ◽  
Non Linear

Indian agriculture depends heavily on rainfall. It not only influences agricultural production but also affects the prices of all agricultural commodities. Rainfall is an exogenous variable which is beyond farmers’ control. The outcome of rainfall fluctuation is quite natural. It has been observed that fluctuation in rainfall brings about fluctuation in output leading to price changes. Considering the importance of rainfall in determining agricultural production and prices, the study has attempted to forecast monthly rainfall in India with the help of time series analysis using monthly rainfall data. Both linear and non-linear models have been used. The value of diagnostic checking parameters (MAE, MSE, RMSE) is lower in a non-linear model compared to a linear one. The non-linear model - Artificial Neural Network (ANN) has been chosen instead of linear models, namely, simple seasonal exponential smoothing and Seasonal Auto-Regressive Integrated Moving Average to forecast rainfall. This will help to identify the proper cropping pattern.

scholarly journals Rainfall Trends in Humid Temperate Climate in South America: Possible Effects in Ecosystems of Espinal Ecoregion

2021 ◽  
Author(s):  
Julian Alberto Sabattini ◽  
Rafael Alberto Sabattini
Keyword(s):  
Monthly Rainfall ◽  
Annual Rainfall ◽  
Temperate Climate ◽  
Rainfall Regime ◽  
Ratio Test ◽  
Von Neumann ◽  
Detection Analysis ◽  
Standard Normal ◽  
Precipitation Records ◽  
Entre Rios

In central Argentina, the annual rainfall regime shows increasing since the 2nd half of the 20th century. The aim of this work was to evaluate the long-term changes in the intensity of rainfall in the central-north region of Entre Ríos between 1945 and 2019, based only on daily precipitation records aggregated at yearly, monthly and seasonal levels. We used monthly rainfall data for the period 1945–2019 from 6 localities in Province of Entre Rios, Argentina. The change detection analysis has been conceded using Pettitt’s test, von Neumann ratio test, Buishand’s range test and standard normal homogeneity (SNH) test, while non-parametric tests including linear regression, Mann-Kendall and Spearman rho tests have been applied for trend analysis. Like the regional results, this study observed a sustained increase in monthly rainfall to the breaking point in the 1970s, but then the annual rate of increase was even higher. The average annual rainfall in the region prior to that date was 946 mm, while after the same 1150 mm, equivalent to 21.5% higher than the 1945–1977 average and 8.5% higher according to the historical average 1945–2019.

scholarly journals Recurrence quantification analysis of monthly rainfall time series in Pernambuco, Brazil

2020 ◽  
Vol 9 (9) ◽  
pp. e637997737 ◽  
Author(s):  
Leika Irabele Tenório de Santana ◽  
Antonio Samuel Alves da Silva ◽  
Rômulo Simões Cezar Menezes ◽  
Tatijana Stosic
Keyword(s):  
Nonlinear Dynamics ◽  
Recurrence Plot ◽  
Monthly Rainfall ◽  
Rainfall Regime ◽  
Rainfall Time Series ◽  
Prediction Time ◽  
Quantification Analysis ◽  
Institute Of Technology ◽  
Underlying Processes ◽  
Deterministic Behavior

Precipitation is the main climatic variable that is used for modeling risks indices for natural disasters. We investigated nonlinear dynamics of monthly rainfall temporal series recorded from 1962 to 2012, at three stations in Pernambuco state, Brazil, located in regions with different rainfall regime (Zona da Mata, Agreste and Sertão), provided by the Meteorological Laboratory of the Institute of Technology of Pernambuco (Laboratório de Meteorologia do Instituto de Tecnologia de Pernambuco – LAMEP/ITEP). The objective of this work is to contribute to a better understanding of the spatiotemporal distribution of rainfall in the state of Pernambuco. We use the methodology from nonlinear dynamics theory, Recurrence plot (RP) that allows to distinguish between different types of underlying processes. The results showed that rainfall regime in deep inland semiarid Sertão region is characterized by weaker and less complex deterministic behavior, comparing to Zona da Mata and Agreste, where we identified transitions between chaotic and nonstationary type of dynamics. For transitional Agreste region rainfall dynamics showed stronger memory with longer mean prediction time, while for sub humid Zona da Mata rainfall dynamics is characterized by laminar (slowly changing) states.

scholarly journals Annual, seasonal and monthly rainfall trend analysis in the Tafna watershed, Algeria

2021 ◽  
Vol 11 (4) ◽  
Author(s):  
Afaf Bouklikha ◽  
Mohammed Habi ◽  
Abdelkader Elouissi ◽  
Saaed Hamoudi
Keyword(s):  
Trend Analysis ◽  
Temporal Trends ◽  
Monthly Rainfall ◽  
Annual Rainfall ◽  
Rainfall Regime ◽  
Monthly Precipitation ◽  
North West ◽  
The North ◽  
Mediterranean Regions ◽  
June July

AbstractScientists, since a long time, have paid attention on climate change and, in particular, rainfall decrease. These changes have resulted in modifications of the rainfall regime in many Mediterranean regions. This work is based on monthly rainfall data from 17 stations located in the Tafna catchment (North West of Algeria). The study aim is to identify long-term (1970–2016) spatial and temporal trends in annual, seasonal and monthly precipitation, using the innovative trend analysis (ITA) method. The approach is used to classify trends into “low”, “medium”, “high”, which should be taken in consideration in future studies on floods (“high”) and drought (“low”). The monthly rainfall shows a decreasing trend in all studied stations (100% of stations) during February, March, April, and May, the same phenomenon observed in the majority of stations for June, July (82% of stations), and December (58% of stations). Seasonal analysis indicates a downward trend in winter and spring. Using annual rainfall, the stations located in the north, west and central part of the Tafna show a decrease in rainfall (59% of stations).

Novel hybrid linear stochastic with non-linear extreme learning machine methods for forecasting monthly rainfall a tropical climate

2018 ◽  
Vol 222 ◽  
pp. 190-206 ◽  
Author(s):  
Mohammad Zeynoddin ◽  
Hossein Bonakdari ◽  
Arash Azari ◽  
Isa Ebtehaj ◽  
Bahram Gharabaghi ◽  
...  
Keyword(s):  
Extreme Learning Machine ◽  
Tropical Climate ◽  
Monthly Rainfall ◽  
Non Linear ◽  
Learning Machine

B. The Non-Linear Calculations for Pulsating Stars

1967 ◽  
Vol 28 ◽  
pp. 105-176
Author(s):  
Robert F. Christy
Keyword(s):  
Major Part ◽  
Afternoon Session ◽  
Discussion Session ◽  
Pulsating Stars ◽  
Fourth Symposium ◽  
Non Linear ◽  
Considerable Discussion ◽  
Informal Approach ◽  
Preceding Session

(Ed. note: The custom in these Symposia has been to have a summary-introductory presentation which lasts about 1 to 1.5 hours, during which discussion from the floor is minor and usually directed at technical clarification. The remainder of the session is then devoted to discussion of the whole subject, oriented around the summary-introduction. The preceding session, I-A, at Nice, followed this pattern. Christy suggested that we might experiment in his presentation with a much more informal approach, allowing considerable discussion of the points raised in the summary-introduction during its presentation, with perhaps the entire morning spent in this way, reserving the afternoon session for discussion only. At Varenna, in the Fourth Symposium, several of the summaryintroductory papers presented from the astronomical viewpoint had been so full of concepts unfamiliar to a number of the aerodynamicists-physicists present, that a major part of the following discussion session had been devoted to simply clarifying concepts and then repeating a considerable amount of what had been summarized. So, always looking for alternatives which help to increase the understanding between the different disciplines by introducing clarification of concept as expeditiously as possible, we tried Christy's suggestion. Thus you will find the pattern of the following different from that in session I-A. I am much indebted to Christy for extensive collaboration in editing the resulting combined presentation and discussion. As always, however, I have taken upon myself the responsibility for the final editing, and so all shortcomings are on my head.)

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