scholarly journals Air temperature and precipitation variation trends of the Lancang river upstream from 1957 to 2011

2013 ◽  
Vol 17 (5) ◽  
pp. 1383-1388
Author(s):  
Ya-Nan Guo ◽  
Xiao-Hua Yang ◽  
Xiao-Juan Chen ◽  
Ying Mei ◽  
Chong-Li Di
Keyword(s):  
Time Series ◽  
Air Temperature ◽  
Practical Significance ◽  
Resources Allocation ◽  
Precipitation Time Series ◽  
Lancang River ◽  
Temperature And Precipitation ◽  
Precipitation Variation ◽  
Variation Trends ◽  
Kendall Method

Air temperature and precipitation variation trends of the upstream of Lancang river using the time series from 1957 to 2011 are evaluated. The Mann-Kendall method is applied to study the trend and climatic jump of the air temperature and precipitation time series. It shows that the temperature has an obvious uptrend with an increase of 0.023?C per year. The annual precipitation of the upstream of Lancang river is 954.96 mm without any change, however, the precipitation is gradually increased from upstream to downstream. This paper is significant for understanding the climate change over the years, and it has practical significance for water resources allocation and management in the future.

scholarly journals Building long-term and high spatio-temporal resolution precipitation and air temperature reanalyses by mixing local observations and global atmospheric reanalyses: the ANATEM model

2015 ◽  
Vol 19 (6) ◽  
pp. 2717-2736 ◽  
Author(s):  
A. Kuentz ◽  
T. Mathevet ◽  
J. Gailhard ◽  
B. Hingray
Keyword(s):  
Time Series ◽  
Temporal Resolution ◽  
Air Temperature ◽  
Regional Scale ◽  
Precipitation Time Series ◽  
Temporal Scales ◽  
Spatial Homogeneity ◽  
Temperature And Precipitation ◽  
Spatio Temporal

Abstract. Efforts to improve the understanding of past climatic or hydrologic variability have received a great deal of attention in various fields of geosciences such as glaciology, dendrochronology, sedimentology and hydrology. Based on different proxies, each research community produces different kinds of climatic or hydrologic reanalyses at different spatio-temporal scales and resolutions. When considering climate or hydrology, many studies have been devoted to characterising variability, trends or breaks using observed time series representing different regions or climates of the world. However, in hydrology, these studies have usually been limited to short temporal scales (mainly a few decades and more rarely a century) because they require observed time series (which suffer from a limited spatio-temporal density). This paper introduces ANATEM, a method that combines local observations and large-scale climatic information (such as the 20CR Reanalysis) to build long-term probabilistic air temperature and precipitation time series with a high spatio-temporal resolution (1 day and a few km2). ANATEM was tested on the reconstruction of air temperature and precipitation time series of 22 watersheds situated in the Durance River basin, in the French Alps. Based on a multi-criteria and multi-scale diagnosis, the results show that ANATEM improves the performance of classical statistical models – especially concerning spatial homogeneity – while providing an original representation of uncertainties which are conditioned by atmospheric circulation patterns. The ANATEM model has been also evaluated for the regional scale against independent long-term time series and was able to capture regional low-frequency variability over more than a century (1883–2010).

scholarly journals Building long-term and high spatio-temporal resolution precipitation and air temperature reanalyses by mixing local observations and global atmospheric reanalyses: the ANATEM method

2015 ◽  
Vol 12 (1) ◽  
pp. 311-361 ◽  
Author(s):  
A. Kuentz ◽  
T. Mathevet ◽  
J. Gailhard ◽  
B. Hingray
Keyword(s):  
Time Series ◽  
Temporal Resolution ◽  
Air Temperature ◽  
Large Scale ◽  
Precipitation Time Series ◽  
Time Step ◽  
Spatial Homogeneity ◽  
Temperature And Precipitation ◽  
Spatio Temporal

Abstract. Improving the understanding of past climatic or hydrologic variability has received a large attention in different fields of geosciences, such as glaciology, dendrochronology, sedimentology or hydrology. Based on different proxies, each research community produces different kind of climatic or hydrologic reanalyses, at different spatio-temporal scales and resolution. When considering climate or hydrology, numerous studies aim at characterising variability, trends or breaks using observed time-series of different regions or climate of world. However, in hydrology, these studies are usually limited to reduced temporal scale (mainly few decades, seldomly a century) because they are limited to observed time-series, that suffers from a limited spatio-temporal density. This paper introduces a new model, ANATEM, based on a combination of local observations and large scale climatic informations (such as 20CR Reanalysis). This model allow to build long-term air temperature and precipitation time-series, with a high spatio-temporal resolution (daily time-step, few km2). ANATEM was tested on the air temperature and precipitation time-series of 22 watersheds situated on the Durance watershed, in the french Alps. Based on a multi-criteria and multi-scale diagnostic, the results show that ANATEM improves the performances of classical statistical models. ANATEM model have been validated on a regional level, improving spatial homogeneity of performances and on independent long-term time-series, being able to capture the regional low-frequency variabilities over more than a century (1883–2010).

scholarly journals A multiscale time-space approach to analyze and categorize the precipitation fluctuation based on the wavelet transform and information theory concept

2018 ◽  
Vol 49 (3) ◽  
pp. 724-743 ◽  
Author(s):  
Kiyoumars Roushangar ◽  
Vahid Nourani ◽  
Farhad Alizadeh
Keyword(s):  
Time Series ◽  
Wavelet Transform ◽  
Multiple Scales ◽  
Multiscale Entropy ◽  
Discrete Wavelet ◽  
Monthly Precipitation ◽  
Precipitation Time Series ◽  
Rain Gauges ◽  
Time Space ◽  
Precipitation Variation

AbstractThe present study proposed a time-space framework using discrete wavelet transform-based multiscale entropy (DWE) approach to analyze and spatially categorize the precipitation variation in Iran. To this end, historical monthly precipitation time series during 1960–2010 from 31 rain gauges were used in this study. First, wavelet-based de-noising approach was applied to diminish the effect of noise in precipitation time series which may affect the entropy values. Next, Daubechies (db) mother wavelets (db5–db10) were used to decompose the precipitation time series. Subsequently, entropy concept was applied to the sub-series to measure the uncertainty and disorderliness at multiple scales. According to the pattern of entropy across scales, each cluster was assigned an entropy signature that provided an estimation of the entropy pattern of precipitation in each cluster. Spatial categorization of rain gauges was performed using DWE values as input data to k-means and self-organizing map (SOM) clustering techniques. According to evaluation criteria, it was proved that k-means with clustering number equal to 5 with Silhouette coefficient=0.33, Davis–Bouldin=1.18 and Dunn index=1.52 performed better in determining homogenous areas. Finally, investigating spatial structure of precipitation variation revealed that the DWE had a decreasing and increasing relationship with longitude and latitude, respectively, in Iran.

scholarly journals Methods for the Design of Climate Change Scenario in Slovakia for the 21St Century

2009 ◽  
Vol 1 (1) ◽  
pp. 77-90 ◽  
Author(s):  
Marian Melo ◽  
Milan Lapin ◽  
Ingrid Damborska
Keyword(s):  
Climate Change ◽  
Time Series ◽  
21St Century ◽  
Climate Change Scenario ◽  
Change Scenario ◽  
Climate Change Scenarios ◽  
Precipitation Time Series ◽  
Impact Studies ◽  
Temperature And Precipitation ◽  
Mean Temperature

Abstract In this paper methods of climate-change scenario projection in Slovakia for the 21st century are outlined. Temperature and precipitation time series of the Hurbanovo Observatory in 1871-2007 (Slovak Hydrometeorological Institute) and data from four global GCMs (GISS 1998, CGCM1, CGCM2, HadCM3) are utilized for the design of climate change scenarios. Selected results of different climate change scenarios (based on different methods) for the region of Slovakia (up to 2100) are presented. The increase in annual mean temperature is about 3°C, though the results are ambiguous in the case of precipitation. These scenarios are required by users in impact studies, mainly from the hydrology, agriculture and forestry sectors.

scholarly journals COMPORTAMENTO DAS SÉRIES TEMPORAIS DE TEMPERATURA DO AR, UMIDADE E PRECIPITAÇÃO PLUVIOMÉTRICA NO MUNICÍPIO DE ARIQUEMES (RONDÔNIA-BRASIL) (AIR TEMPERATURE, HUMIDITY AND RAINY PRECIPITATION TIME SERIES BEHAVIOR IN ARIQUEMES TOWN (RONDÔNIA, BRAZIL))

2016 ◽  
Vol 18 ◽  
Author(s):  
Roberto Luís da Silva Carvalho ◽  
Bruno Irineu Silva do Nascimento ◽  
Carlos Alexandre Santos Querino ◽  
Marcelo José Gama da Silva ◽  
Angel Ramon Sanchez Delgado
Keyword(s):  
Time Series ◽  
Air Temperature ◽  
Precipitation Time Series

Variáveis meteorológicas são extremamente importantes para o entendimento do clima de uma determinada região, pois com o estudo delas é possível, por exemplo, mapear os riscos de eventos extremos climáticos ou identificar melhores épocas de plantio. Neste sentido, o objetivo do presente trabalho é analisar as séries temporais referentes à temperatura do ar, umidade relativa e precipitação pluviométrica, no município de Ariquemes (RO), verificando os aspectos de sazonalidade e/ou tendência. Foram utilizados os dados disponibilizados pelo Instituto Nacional de Meteorologia – INMET e registrados pela estação Meteorológica Automática de Ariquemes/RO, no período de dezembro de 2010 até fevereiro de 2014. Os dados foram tratados e posteriormente analisados por softwares apropriados para a tabulação e análise estatística. Inicialmente, foi realizada uma análise exploratória de dados para identificar os valores médios observados, bem como os valores de máximo e mínimo para o período. A seguir, foram ajustados modelos individuais sazonais autoregressivos integrados de médias móveis – SARIMA para as séries temporais. Dentre os resultados, foi possível identificar os padrões existentes nas séries temporais que ajudarão a compreender a climatologia da região. Constatou-se ainda, que o modelo SARIMA é apropriado para o trabalho com as séries temporais de temperatura e umidade relativa do ar, não observando a mesma eficiência para a precipitação.

scholarly journals Análise da Tendência Climática nas Séries Temporais de Temperatura e Precipitação de Tucuruí-Pará (Trend Analysis of the Climate in Time Series of Temperature and Precipitation of Pará-Tucuruí)

2015 ◽  
Vol 7 (5) ◽  
pp. 798
Author(s):  
Roberta Everllyn Pereira Ribeiro ◽  
Pâmela Ribeiro Ávila ◽  
José Ivaldo Brito ◽  
Elder Guedes Santos ◽  
Leandro Fontes Sousa
Keyword(s):  
Time Series ◽  
Trend Analysis ◽  
Air Temperature ◽  
Negative Correlation ◽  
Summer Rainfall ◽  
Positive Trend ◽  
Significant Positive Trend ◽  
Temperature And Precipitation ◽  
Autumn And Winter ◽  
Maximum Air Temperature

RESUMO Este trabalho tem por objetivo fornecer um breve conhecimento das análises climatológicas da temperatura e precipitação do município de Tucuruí-PA. Abordando pontos como a tendência anual da temperatura e precipitação, e a correlação entre as oscilações interanual e interdecadal dos oceanos atlântico e pacifico sobre a precipitação sazonal de Tucuruí a partir de uma serie de mais de 40 anos de dados. Os resultados mostraram que as menores temperaturas médias do ar ocorrem em fevereiro, as temperaturas médias do ar mais elevadas ocorreram no mês de outubro, a temperatura máxima do ar aumenta continuamente de fevereiro a outubro, decrescendo em novembro. Quando se fala na análise da tendência observou-se que apenas as series de temperaturas médias e mínimas apresentaram uma tendência positiva significativa. Há correlação com significância estatística apenas entre a precipitação das estações outono, inverno e primavera com o índice ODP. Observou-se uma dependência oscilatória entre as chuvas de verão e a OMA; uma dependência quadrática das chuvas de verão e ODP; correlação negativa entre as chuvas de outono e o IME; e correlação negativa entre as chuvas de outono e de inverno com a ODP.      ABSTRACT  This work aims to provide a brief knowledge of the climatological analyzes of temperature and precipitation in the municipality of Tucuruí-PA. Addressing points such as the annual trend of temperature and precipitation, and the correlation between the interannual and interdecadal oscillations of the Atlantic and Pacific oceans on seasonal rainfall Tucuruí from a series of more than 40 years of data. The results showed that the lowest average temperatures occur in February, the average temperatures of the air were higher in October, the maximum air temperature increases continuously from February to October, decreasing in November. When referring to the trend analysis revealed that only the series of medium and minimum temperatures showed a significant positive trend. There are only statistically significant correlation between rainfall seasons of autumn, winter and spring with the ODP. Observed oscillatory dependence between summer rainfall and OMA; a quadratic dependence of summer rains and ODP; negative correlation between the autumn rains and the IME; and negative correlation between the rains of autumn and winter with the ODP. Keywords: temperature, precipitation, interannual oscillations    

Sign in / Sign up

Export Citation Format

Share Document