Determining rainy season onset and retreat over Nigeria from precipitation amount and number of rainy days

2005 ◽  
Vol 83 (1-4) ◽  
pp. 193-201 ◽  
Author(s):  
T. O. Odekunle
Keyword(s):  
Rainy Season ◽  
Precipitation Amount ◽  
Rainy Days

scholarly journals Association of the Rainy Season Precipitation with Low-Level Meridional Wind in the Yangtze River Valley and North China

2012 ◽  
Vol 25 (2) ◽  
pp. 792-799 ◽  
Author(s):  
Gang Zeng ◽  
Wei-Chyung Wang ◽  
Caiming Shen
Keyword(s):  
Rainy Season ◽  
Yangtze River ◽  
North China ◽  
Precipitation Amount ◽  
Meridional Wind ◽  
Yangtze River Valley ◽  
River Valley ◽  
The Yangtze River ◽  
Intergovernmental Panel ◽  
June July

Abstract This study first used measurements to establish the association between the rainy season precipitation in the Yangtze River valley (YRV) and north China (NC) and the 850-hPa meridional wind, and then evaluated the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) models’ simulations of both the associations and precipitation amount. It is shown that there exists a statistically significant positive correlation in the June–July precipitation and wind gradient over the YRV, and in the July–August precipitation and wind over NC. These associations are robust at daily, monthly, and interannual scales. Although many models are found to be capable of simulating the associations, the precipitation amount is still quite inadequate when compared with observations, thus raising the issue of the importance of lower-level wind simulations.

scholarly journals Hubungan Iklim Terhadap Produksi Serta Pendapatan Petani Karet di Kabupaten Padang Lawas Utara

2019 ◽  
Vol 1 (1) ◽  
pp. 56-67
Author(s):  
Irwansyah Nasution ◽  
Tumpal H.S. Siregar ◽  
Erwin Pane
Keyword(s):  
Rainy Season ◽  
Dry Season ◽  
Climate Variables ◽  
Climatic Variable ◽  
Climate Variable ◽  
The Difference ◽  
Relationship Of ◽  
Farmer Income ◽  
The Relationship ◽  
Rainy Days

This study examines the relationship of Climate Variables with Rubber Yield And Farmer Income In Three Subdistricts of Padang Lawas Utara.  This study aims to (1) to determine the effect of climate variable to rubber yield and, (2) To know the difference of farmer's income in rainy season and dry season. This research was conducted in March until May 2017. The result of research is climatic variable especially rainfall and rainy day very significant for influential  rubber yields in Three Subdistricts in Padang Lawas Utara. This may indicate that increasing rainfall amounts with higher rainy days cause a decrease in tapping days resulting in reduction of rubber productivity. There results also showed that farmers' income in rainy season difference in dry season whereas farmer income in dry season is higher than rainy season

How Often Does It Rain?

2006 ◽  
Vol 19 (6) ◽  
pp. 916-934 ◽  
Author(s):  
Ying Sun ◽  
Susan Solomon ◽  
Aiguo Dai ◽  
Robert W. Portmann
Keyword(s):  
Climate Models ◽  
Global Climate ◽  
Precipitation Amount ◽  
Heavy Precipitation ◽  
Global Climate Models ◽  
Annual Precipitation ◽  
Precipitation Frequency ◽  
Daily Precipitation Data ◽  
Precipitation Total ◽  
Rainy Days

Abstract Daily precipitation data from worldwide stations and gridded analyses and from 18 coupled global climate models are used to evaluate the models' performance in simulating the precipitation frequency, intensity, and the number of rainy days contributing to most (i.e., 67%) of the annual precipitation total. Although the models examined here are able to simulate the land precipitation amount well, most of them are unable to reproduce the spatial patterns of the precipitation frequency and intensity. For light precipitation (1–10 mm day−1), most models overestimate the frequency but produce patterns of the intensity that are in broad agreement with observations. In contrast, for heavy precipitation (>10 mm day−1), most models considerably underestimate the intensity but simulate the frequency relatively well. The average number of rainy days contributing to most of the annual precipitation is a simple index that captures the combined effects of precipitation frequency and intensity on the water supply. The different measures of precipitation characteristics examined in this paper reveal region-to-region differences in the observations and models of relevance for climate variability, water resources, and climate change.

Significance of Preventing Primary Infections by Didymella rabiei and Development of a Model to Estimate the Maturity of Pseudothecia

Plant Disease ◽  
2005 ◽  
Vol 89 (10) ◽  
pp. 1027-1034 ◽  
Author(s):  
D. Shtienberg ◽  
E. Gamliel-Atinsky ◽  
B. Retig ◽  
S. Brener ◽  
A. Dinoor
Keyword(s):  
Rainy Season ◽  
Field Experiments ◽  
Empirical Models ◽  
Daily Temperature ◽  
Rain Event ◽  
Control Efficacy ◽  
Influence Of Temperature ◽  
Average Daily Temperature ◽  
Using Data ◽  
Rainy Days

The significance of preventing primary infections resulting from the teleomorph stage of Didymella rabiei was tested in field experiments in 1998 and 2000. Control efficacy was greater and yield and its components were higher in plots where the fungicide difenoconazole had been sprayed in time to protect the plants from infections resulting from airborne ascospores than in plots where sprays were not applied on time. Forty empirical models reflecting the influence of temperature and interrupted wetness on initial maturation of D. rabiei pseudothecia were developed and verified by using data recorded in chickpea fields in 1998. Seven of the models then were validated with data recorded in 1999 and 2000. The following model provided the best predictions: starting at the beginning of the rainy season (October to December), the predictor of the model was assigned one severity value unit when there was a rain event (1 day or more) with ≥10 mm of rain and an average daily temperature (during the rainy days) of ≤15°C. According to the model, pseudothecia mature after accumulation of six severity values and ascospores will be discharged during the following rain.

scholarly journals Determining of The Onset Early Local Rainy and Dry seasons in Tea Plantation

Agrologia ◽  
2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Zakarias Frans Mores Hukom
Keyword(s):  
Climate Change ◽  
Rainy Season ◽  
Production Management ◽  
Management Program ◽  
Dry Season ◽  
Tea Plantation ◽  
Local Climate ◽  
Rainy Days

Efforts to increase the productivity and quality of tea shoots are strongly influenced by local climatic and weather conditions at each plantation location.  The existence of climate change globally causes climate change fluctuations and weather elements in almost all tea plantation locations in the world from year to year. Determination of the local climate at each tea plantation location is important in establishing a stable and sustainable production management program and the quality of tea shoots. The weather parameters used for the determination of the start of the local rainy season (AMH) and the start of the dry season (AMK) at the tea plantation location in Tritis hamlet are the amount of rainfall and basic rainy days determined by the Meteorology, Climatology and Geophysics Agency (BMKG).  Rainfall data and local dasarian days of rain for a period of one year were analyzed using subjective descriptive methods involving graphical analysis and spatial analysis. The results showed that the beginning of the rainy season (AMH) in Tritis tea plantation was included in scenario 4 where AMH occurred in October 3 with the amount of rainfall ˃ 50 mm and the number of rainy days ˃ 6 days while the beginning of the dry season occurred in May 2 with the amount of rainfall ˂ 50 mm and the number of rainy days ˂ 6 days.Key words:  AMH, AMK, Rainfall, Dasarian, Rainy Day, and Tea Plantation.

scholarly journals Design of Portable Coffee Dryer in Kabawetan District, Kepahiang Regency

2021 ◽  
Vol 5 (2) ◽  
pp. 99-111
Author(s):  
Muhammad NurDita Nugroho ◽  
Siswahyono Siswahyono ◽  
Prasetyo Prasetyo ◽  
Eko Sumartono ◽  
Abdul Hamid Hakim
Keyword(s):  
Rainy Season ◽  
Agricultural Sector ◽  
Statistical Data ◽  
Limited Space ◽  
Coffee Farmers ◽  
Group Members ◽  
Training Activities ◽  
Further Development ◽  
Rainy Days

The statistical data of the Kepahiang Regency in 2018 shows that more than 90% of Kabawetan people worked in the agricultural sector as vegetable and coffee farmers. Due to the hilly morphology of the settlements, the settlement configurations should conform with the land contours. As the majority of the coffee farmers have limited land for drying the harvested coffee, portable architectural technology can then help overcome the problems with the limited house yard. This tool is used as a space for drying their coffee, especially during the rainy season. The method to transfer the portable coffee dryer design to the communities is by training them how to use the technology and introducing it with the help of props (prototypes). This introductory training was conducted for the Permata Sari farmer group in the farmer's house yard in Bukit Sari Village, Kabawetan District. The training activities included coordinating with the involved farmers, making coffee dryer designs, testing simple tools, and introducing the mobile coffee dryer technology to Permata Sari farmer group members in Bukit Sari Village, Kabawetan District Kepahiang Regency. Portable coffee dryers are urgently needed considering the contoured lands, limited space, and the frequency of rainy days in Kabawetan exceeds that of sunny days. However, this tool still requires further development, where it can be used as a sorting tool, particularly for sorting out the red pickled coffee that is dried using this tool.

scholarly journals Characterizing the properties of daily precipitation concentration in Amur River Basin of northeast China

2019 ◽  
Vol 117 ◽  
pp. 00003
Author(s):  
Yousheng Wang ◽  
Jianzhao Guan ◽  
Xiaoming Zhang ◽  
Pengfei Du ◽  
Lei Zhang ◽  
...  
Keyword(s):  
River Basin ◽  
High Intensity ◽  
Northeast China ◽  
Precipitation Amount ◽  
Amur River Basin ◽  
Amur River ◽  
Precipitation Concentration ◽  
The Amur River ◽  
Rainy Days ◽  
Precipitation Events

The Amur River Basin is one of the most sensitive areas to the effects of climate change. In this study, spatial and temporal analysis of concentration index over the Amur River Basin in northeast China was presented. Precipitation data from 71 meteorological stations for the time series 1980-2018 on daily scale was employed in the study. The results indicated that precipitation events of low-intensity accounted for 28.59 % of rainy days, however, the proportion of rain amount was 1.33 %. On the contrary, high-and very high-intensity events accounted for 40.34 % of rainy days and as high as 90.53 % of annual precipitation amount. Precipitation concentration explain the cause of why some regions are prone to be influenced by high intensity precipitation events, spatial distribution of different intensities can be partly interpreted by daily rainfall heterogeneity and regional geomorphology. Furthermore, a significant change toward a stronger precipitation concentration was demonstrated over some regions, and this need concern from the administration.

Climate variability and change in the Central Rift Valley of Ethiopia: challenges for rainfed crop production

2013 ◽  
Vol 152 (1) ◽  
pp. 58-74 ◽  
Author(s):  
B. T. KASSIE ◽  
R. P. RÖTTER ◽  
H. HENGSDIJK ◽  
S. ASSENG ◽  
M. K. VAN ITTERSUM ◽  
...  
Keyword(s):  
Climate Variability ◽  
Rainy Season ◽  
Rift Valley ◽  
Crop Production ◽  
Extreme Values ◽  
Growing Season ◽  
Annual Rainfall ◽  
Mean Annual Temperature ◽  
Climate Variability And Change ◽  
Rainy Days

SUMMARYEthiopia is one of the countries most vulnerable to the impacts of climate variability and change on agriculture. The present study aims to understand and characterize agro-climatic variability and changes and associated risks with respect to implications for rainfed crop production in the Central Rift Valley (CRV). Temporal variability and extreme values of selected rainfall and temperature indices were analysed and trends were evaluated using Sen's slope estimator and Mann–Kendall trend test methods. Projected future changes in rainfall and temperature for the 2080s relative to the 1971–90 baseline period were determined based on four General Circulation Models (GCMs) and two emission scenarios (SRES, A2 and B1). The analysis for current climate showed that in the short rainy season (March–May), total mean rainfall varies spatially from 178 to 358 mm with a coefficient of variation (CV) of 32–50%. In the main (long) rainy season (June–September), total mean rainfall ranges between 420 and 680 mm with a CV of 15–40%. During the period 1977–2007, total rainfall decreased but not significantly. Also, there was a decrease in the number of rainy days associated with an increase (statistically not significant) in the intensity per rainfall event for the main rainy season, which can have implications for soil and nutrient losses through erosion and run-off. The reduced number of rainy days increased the length of intermediate dry spells by 0·8 days per decade, leading to crop moisture stress during the growing season. There was also a large inter-annual variability in the length of growing season, ranging from 76 to 239 days. The mean annual temperature exhibited a significant warming trend of 0·12–0·54 °C per decade. Projections from GCMs suggest that future annual rainfall will change by +10 to −40% by 2080. Rainfall will increase during November–December (outside the growing season), but will decline during the growing seasons. Also, the length of the growing season is expected to be reduced by 12–35%. The annual mean temperature is expected to increase in the range of 1·4–4·1 °C by 2080. The past and future climate trends, especially in terms of rainfall and its variability, pose major risks to rainfed agriculture. Specific adaptation strategies are needed for the CRV to cope with the risks, sustain farming and improve food security.

Decadal Variability of Rainfall in Senegal : beyond total seasonal amounts

2021 ◽  
Author(s):  
Aissatou Badji ◽  
Moussa Diakhaté ◽  
Amadou Tierno Gaye ◽  
Juliette Mignot ◽  
Elsa Mohino
Keyword(s):  
Rainy Season ◽  
Decadal Variability ◽  
Function Analysis ◽  
Monsoon Season ◽  
Daily Rainfall ◽  
Average Intensity ◽  
Main Mode ◽  
Clear Trend ◽  
Dry Spells ◽  
Rainy Days

<p>The intraseasonal characteristics of rainfall have important implications for agriculture in the Sahel. For example, the development and yield of millet, sorghum and maize depend not only on the rainfall seasonal total amounts, but also on the onset of the rainy season and the seasonal distribution of rainy days as well as the occurrence of dry spells. However, the decadal variability of intraseasonal rainfall characteristics in the Sahel and in particular in Senegal has received little attention in the literature so far. In this study, we analyze the decadal modulations of the intraseasonal characteristics of the monsoon season in Senegal over the period 1918-2000. From daily rainfall data measured at different stations in Senegal, we have defined indices characterizing, among others, the number of rainy days, the average intensity of rainy days, the starting day and ending day of the rainy season. The spatial patterns of the mean indices generally show a north/south gradient and their temporal modulations show a clear decadal signal. Application of EOF (Empirical Orthogonal Function) analysis provides a main mode of variability showing same-signed loads throughout the territory. The associated PCs show strong decadal variability for most indices with a strong link to the Atlantic Multidecadal Variability. The exception are the indices related to the duration of the monsoon season, which show a weaker decadal variability with a clear trend.</p>

scholarly journals KORELASI ANTARA FAKTOR CURAH HUJAN DENGAN KEJADIAN DBD TAHUN 2010-2014 DI KABUPATEN KARANGANYAR

IKESMA ◽  
2018 ◽  
Vol 14 (1) ◽  
pp. 25
Author(s):  
Arifatun Nisaa
Keyword(s):  
Public Health ◽  
Rainy Season ◽  
Geographic Location ◽  
Public Health Problem ◽  
Secondary Data ◽  
Hemorrhagic Fever ◽  
Physical Factor ◽  
Residential Areas ◽  
Factor Data ◽  
Rainy Days

Dengue hemorrhagic fever is still a public health problem and the incidence of the case was up and down erratically. One of the causes of DHF incidence is rainfall. Based on geographic location and topography, Karanganyar Regency has temperature temperature between 180-310C, the lowest temperature is in Tawangmangu Subdistrict when rainy season is 180C, while in Gondangrejo and Colomadu District reaches 310C. Aedes aegypti mosquitoes can survive at a temperature of 22 - 240C. In the rainy season, usually the incidence of dengue cases tends to increase. Based on data from 6 measuring stations in Karanganyar District, the number of rainy days during the year was 115.6 days with an average of 7,231.4 mm rainfall, where the highest rainfall occurred in February to April, while the lowest was at August and September. This study was an observational analytic study with multiple temporal analyzes. Data used in this research are secondary data of DBD case and rainfall factor data. Dengue fever spreads in residential areas. The strength of rainfall correlation with dengue is strong (r = 0.62).There is no significant correlation between rainfall factor and DHF. This may be due to the lack of duration of data taken, incomplete physical factor data and the influence of other dominant factors.

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