columbi Summary We investigate the viability of using El Niño–Southern Oscillation (ENSO) and sea surface temperature (SST) data to predict seasonal streamflow for one of the major rivers in Sri Lanka, the Kelani, using correlation analysis, contingency tables, and principal component analysis. The agricultural seasons in Sri Lanka are Yala (April–September) and Maha (October–March). The correl...

A statistical approach is used to explore the variability of precipitation and meteorological drought in Mexico’s Rı́o Yaqui basin on seasonal-to-decadal timescales. For this purpose, a number of custom datasets have been developed, including a monthly 1900-2004 precipitation index for the Yaqui basin created by merging two gridded land-surface precipitation products, a 350-year tree-ring based ...

This study compares the accuracy of the short-term rainfall forecasts obtained with time-series analysis techniques, using past rainfall depths as the only input information. The techniques proposed here are linear stochastic auto-regressive movingaverage (ARMA) models, artificial neural networks (ANN) and the non-parametric nearest-neighbours method. The rainfall forecasts obtained using the c...

The likelihood of simulated rainfall above a specified threshold being observed is evaluated as a function of the amounts predicted by two mesoscale models. Evaluations are performed for 20 warm-season mesoscale convective system events over the upper Midwest of the United States. Simulations were performed using 10-km versions of the National Centers for Environmental Prediction Eta Model and ...

The prediction of river, s discharge rate is one of the important issues in water resources engineering. This issue is very important for the planning, management, and policy making in water resources management, especially in the country like Iran, with limited water resources in line the economic and environmental development. Awareness of how the relationship between rainfall and run...

Using 1 km satellite remote sensing observations, this paper examines the clouds, aerosols, water vapor and surface skin temperature over Beijing to understand the possible urban system contributions to the extreme rainfall event on 21 July 2012 (i.e., 721 event). Remote sensing measurements, with the advantage of high spatial resolution and coverage, reveal three key urban-related mechanisms: ...

Rain gauges are widely used to obtain temporally continuous point rainfall records, which are then interpolated into spatially continuous data to force hydrological models. However, rainfall measurements and interpolation procedure are subject to various uncertainties, which can be reduced by applying quality control and selecting appropriate spatial interpolation approaches. Consequently, the ...

Satellite-data derived total precipitable water (kg/m 2 ) is the amount of water vapor in the atmospheric column from the surface of the earth to space. The microwave instruments SSMI/S, AMSRE and AMSU can be used to retrieve this parameter that could be useful in relation to heavy precipitation. The MIRS products, developed by NESDIS, were used as indices. In order to study the cause of heavy ...

Rainfall prediction is usually done for a region but spot quantitative precipitation forecast is required for individual township, harbours and stations with vital installation. A methodology using data mining technique has been tried for a coastal station, Cuddalore in East Coast of India and the results are presented here. The method gives good result for the prediction of daily rainfall 24 h...