This study evaluated methods for automated classification of rain events into groups of “high” and “low” spatial and temporal variability in offline and online situations. The applied classification techniques are fast and based on rainfall data only, and can thus be applied by, e.g., water system operators to change modes of control of their facilities. A k-means clustering technique was appli...

This study uses household-level panel data from a nationally representative survey to estimate the effect of agricultural productivity shocks—as proxied by exogenous annual rainfall deviations—on education expenditures and children’s work status in rural India. We find that transitory increase significantly reduces increases likelihood child labor across multiple activities. Additionally, house...

Propagation measurements at Ku-band over an earth space path have been carried out at Kolkata (22°34’N, 88°29’E) by receiving a signal at 11.172 GHz from the satellite NSS-6 (geostationary at 95°E) since June 2004. The amplitudes of the co-polar signal and the cross-polar component have been monitored along with rain rate and drop size distribution measurements by an optical raingauge and a Jos...

Water Erosion Prediction Project (WEPP), a process based erosion model that computes spatial and temporal distributions of surface runoff, soil loss and sediment deposition from overland flow on hillslopes and soil loss and sediment deposition from concentrated flow in small channels. In the present study, surface runoff and soil loss were simulated in a mini watershed (57 ha) of Sitlarao water...

Daily and seasonal spore dispersal of Mycosphaerella pinodes (Berk & Bloxam) Vestergren and the relationship of spore dispersal to distance and disease severity were investigated in a pea field in western Canada during two consecutive years. Most ascospores were released in response to rain events, during the first 23–27 d after the inoculum source area was infested with naturally diseased pea ...

Quantitative precipitation estimation and rainfall monitoring based on meteorological data, potentially provides continuous, high-resolution and large-coverage data, are of high practical use: Think of hydrogeological risk management, hydroelectric power, road and tourism. Both conventional long-range radars and rain-gauges suffer from measurement errors and difficulties in precipitation estima...

Quantitative precipitation estimation and rainfall monitoring based on meteorological data, potentially provides continuous, high-resolution and large-coverage data, are of high practical use: Think of hydrogeological risk management, hydroelectric power, road and tourism. Both conventional long-range radars and rain-gauges suffer from measurement errors and difficulties in precipitation estima...

This paper describes two methods for generating synthetic rain rate time-series capable of being used to simulate the performance of radio communication systems operating above 10 GHz. Rain rates are modelled because they are widely available and because an approximate link to signal attenuation can be established owing to the significant correlation between them. The proposed models are based ...

[1] Warm rain occurs in low‐level liquid water clouds and does not involve an ice‐phase process. Comprising many state‐of‐the‐art passive and active instruments, the NASA A‐Train series of satellites provide comprehensive simultaneous information about warm clouds and their precipitation processes. This study exploits multi‐sensor data from the A‐Train satellite constellation to investigate the...