Prediction of rainfall

Ebook "Hurricanes and climate change (Volume 2)" opens with a review of progress on an international project to compare global climate models on their ability to generate tropical cyclones. Chapter 2 highlights predictions of tropical cyclone activity under global warming using a cloud-resolving climate model. Chapter 5 discusses the potential insights of considering tropical cyclone activity as critical phenomenon.

256p giangdongdinh 28-05-2024 2 1   Download

This study also compares the predictive capability of these models to the model using average annual rainfall data that was widely used in previous studies. Finally, the best model fit is used for landslide spatial prediction mapping.

19p dianmotminh02 03-05-2024 4 2   Download

Ebook "Tropical cyclone activity over the North Indian Ocean" deals primarily with understanding, monitoring and prediction of Tropical Cyclones (TCs) over the North Indian Ocean (NIO). There is special emphasis on TC genesis, intensification, movement and associated adverse weather like heavy rainfall and gale winds. It highlights the current state of research on TCs over the NIO and recent improvements in early warning systems due to advances in observational, analytical and numerical weather prediction techniques.

385p tachieuhoa 28-01-2024 5 2   Download

The prediction of weather changes, such as rainfall, clouds, floods, and storms, is critical in weather forecasting. In this paper, we present a novel method for weather nowcasting based on Mamdani complex fuzzy inference with multiple band input data.

18p vimulcahy 18-09-2023 5 4   Download

This article investigates the capability of the applicability of numerical WRF model to forecast weather at 48 hours for the Southern Region Viet Nam in the rainy and dry seasons in 2021 (12/2020 - 11/2021). The WRF model shows that predicted maximum temperature, minimum temperature and rainfall are lower than measured values.

10p vimalfoy 08-02-2023 5 2   Download

Climate change is predicted to lead to changes in the amount and distribution of precipitation during the growing seasonal. This “repackaging” of rainfall could be particularly important for grassland productivity.

11p vijichea2711 28-05-2021 7 1   Download

Droughts happen when there is not enough rainfall for a longer period of time. When there is so little precipitation (rainfall, snow etc.) the whole region starts to dry out. Sometimes a drought take decades to develop fully and they are very difficult to predict. Rainfall data of 15 years (2001-2015) based on standard weeks was analyzed for Etawah district of Uttar Pradesh.

11p trinhthamhodang11 27-04-2021 14 2   Download

The study were attempted to develop prediction models for runoff using rainfall as single predictor. An outline for a complete synthetic rainfall-runoff database was developed to study catchment response to a variety of rainfall events. DachigamTelbal catchment was chosen as study site and records of rainfall amount and runoff were organized and analyzed.

5p trinhthamhodang1218 26-02-2021 5 1   Download

West Bengal is a State where agriculture is mainly dependent on monsoon rainfall. But, erratic rainfall patterns cause a major negative impact on annual food-grain production. Time series forecasting has evolved as a major tool in different applications in hydrology and environmental management fields. The prediction of rainfall on time scales although scientifically challenging is nonetheless very important for decisive planning of agricultural strategies.

8p nguaconbaynhay8 13-10-2020 14 1   Download

Probability distribution technique used to predict the weekly maximum rainfall. In India 60% of total net sown area comes under rainfed. More than 65% population depends on agriculture, but, it contributes only 15.7% GDP of India. The rainfall distribution in country is non uniform which varies from place to place as well as time to time, therefore, study of probability distribution technique needed for understand rainfall characteristic and distribution. Appropriate analysis of rainfall data of 32 years from 1980 to 2011 was done for North Bihar.

8p trinhthamhodang1213 02-06-2020 17 0   Download

An evaluation was conducted to develop a stochastic time series model, capable of prediction of rainfall and runoff in Karso watershed. The Karso Watershed selected for hydrological studies is one of the sub watershed of the Damoder dam catchment of upper Damodar Valley, comprising a cover the area of 27.41 km2 . The hydrologic sequences data of watershed collected from Soil Conservation Deptt., Damodar Valley Corporation, Hazaribagh, Jharkhand State were analysed. The watershed be capable of be divided into three main landscapes.

7p kequaidan4 05-05-2020 13 0   Download

The autoregressive model specifies that the output variable depends linearly on its own previous values and on a stochastic term (an imperfectly predictable term); thus the model is in the form of a stochastic differential equation. The present study was conducted with the main objective to develop a stochastic time series model for prediction of rainfall of Allahabad district, which lies between 250 47’ N latitude, 810 21’E longitude and elevation of 104 m from the mean sea level.

7p kethamoi4 18-04-2020 14 1   Download

Forecasting of stream flow and ground water level changes became an important component of water resources system control and challenging task for water resources engineers and managers. The ground water level data and rainfall data of twenty years from 1996 to 2015 were collected. Artificial neural network (ANN) is used to predict water resources variable. The model was trained, validated and tested for randomly divided samples. The regression analysis shows good correlation between each other within the range 0.12 to 0.97 of Abhanpur block.

8p kethamoi4 16-04-2020 21 2   Download

Field experiment was conducted to study the role different weather variables on infection of Karnal bunt (KB) disease in Wheat. For the study eighty four recombinant inbred lines (RILs) of wheat cross, Aldan (resistant) and WH 542 (susceptible) were grown in randomized block design with three replications during season of year 2011-2012 and 2012- 2013. The screening of material was made under artificial conditions in field areas. Inoculum was prepared from 10-12 days old active culture of N. indica. Five spikes of each entry were inoculated with 2 ml of inoculum using hypodermic syringe.

7p quenchua4 06-04-2020 9 2   Download

Pre harvest crop yield forecast is required for storage, pricing, marketing, import, export etc. Weather is the main factor which affects crop yield. Variability in weather causes the losses in the yield. Use of weather can be done for crop production forecast. Weather plays an important role in crop growth. Therefore model based on weather parameters can be provide reliable forecast in advance for crop yield. In this study, the focus was on the development crop yield forecast (CYF) model through stepwise linear regression technique using weather variables and historic crop yield.

4p caygaocaolon4 01-04-2020 11 1   Download

Present investigation was conducted at Dr. YS Parmar University of Horticulture and Forestry, Nauni (HP) to study the effect of changing climatic conditions on seed yield of onion (Allium cepa L.) in mid hills of Himachal Pradesh. The meteorological data (30 years) and onion seed yield data (26 years) were collected; correlation and regression analysis between various weather parameters (temperature, rainfall and relative humidity) and onion seed productivity was done for productivity trend analysis.

11p cothumenhmong4 25-03-2020 13 1   Download

Rainfall is the most complex and difficult elements of hydrological cycle to understand and to model due to the complexity of atmospheric process. Long term prediction of rainfall is important for country like India where economy is mainly depends on agriculture.

15p nguaconbaynhay4 22-03-2020 8 1   Download

Insufficient water supply is one of the most important factor governing agricultural productions. In addition to rainfall, a thorough knowledge of seasonal values of evaporation and crop transpiration, runoff, deep drainage and soil water storage is required to estimate the water need of crop. Water management is crucial to rightly offer and economize on water use in improvement of rice productivity.

7p chauchaungayxua4 18-03-2020 22 1   Download

The climatic parameters such as Rainfall, mean daily temperature, Wind Speed, relative humidity are spatial and changing with time space and position. That directly affects the availability of basic resources such as surface runoff, vegetation, soil health and quality needed for betterment of sustainability of human being. The predicting the surface runoff is complex and uncertain. It depended of these climatic parameters. Hence, their behaviour needed to be understood before putting in the hydrologic model.

14p cothumenhmong3 22-02-2020 21 0   Download

Coconut has a prolonged reproductive phase of 44 months from the initiation of the inflorescence primordium to full maturity of the nuts. Weather affects all stages of the long development cycle and thus there is likely to be extended predictability based on climate variability. An attempt is being made to relate the coconut sample survey data of Coconut Development Board with climate data of Chanrayapatna taluk of Hassan district. Mean nut yield per palm, per year in the Chanrayapatna taluk was 83.3. Among the villages, Baldare recorded significantly lower nut yield (78.

11p cothumenhmong3 22-02-2020 18 0   Download