Results 31 to 40 of about 1,948,518 (201)

An Innovative Acoustic Rain Gauge Based on Convolutional Neural Networks

Information, 2020
An accurate estimate of rainfall levels is fundamental in numerous application scenarios: weather forecasting, climate models, design of hydraulic structures, precision agriculture, etc.
Roberta Avanzato, Francesco Beritelli
doaj   +1 more source

Climatology of daily rainfall semi-variance in The Netherlands [PDF]

, 2011
Rain gauges can offer high quality rainfall measurements at their locations. Networks of rain gauges can offer better insight into the space-time variability of rainfall, but they tend to be too widely spaced for accurate estimates between points.
Torfs, P.J.J.F., Beek, C.Z., van de, Leijnse, H., Uijlenhoet, R.   +3 more
core   +1 more source

Effect of mountainous rainfall on uncertainty in flood model parameter estimation

Hydrology Research
Explaining the significant variability of rainfall in orographically complex mountainous regions remains a challenging task even for modern raingauge networks.
Jeonghoon Lee, Jeonghyeon Choi, Suhyung Jang, Sangdan Kim   +3 more
doaj   +1 more source

Quantitative Precipitation Estimation (QPE) Rainfall from Meteorology Radar over Chi Basin

Hydrology, 2022
This study of the Quantitative Estimation Precipitation (QEP) of rainfall, detected by two Meteorology Radars over Chi Basin, North-east Thailand, used data from the Thai Meteorological Department (TMD).
Nathaporn Areerachakul, Sethakarn Prongnuch, Peeranat Longsomboon, Jaya Kandasamy   +3 more
doaj   +1 more source

Spatial and temporal variability of rainfall erosivity factor for Switzerland [PDF]

, 2011
Rainfall erosivity, considering rainfall amount and intensity, is an important parameter for soil erosion risk assessment under future land use and climate change.
Steel, A., C. Alewell, Panagos, P., L. Montanarella, Montanarella, L., MONTANARELLA Luca, PANAGOS Panagiotis, Alewell, Christine, A. Steel, Meusburger, Katrin, STEEL Alan, K. Meusburger, P. Panagos, MEUSBURGER Katrin, ALEWELL Christine   +14 more
core   +2 more sources

A Two-Step Approach to Blending GSMaP Satellite Rainfall Estimates with Gauge Observations over Australia

Remote Sensing, 2022
An approach to developing a blended satellite-rainfall dataset over Australia that could be suitable for operational use is presented. In this study, Global Satellite Mapping of Precipitation (GSMaP) satellite precipitation estimates were blended with ...
Zhi-Weng Chua, Yuriy Kuleshov, Andrew B. Watkins, Suelynn Choy, Chayn Sun   +4 more
doaj   +1 more source

Correcting the radar rainfall forcing of a hydrological model with data assimilation: application to flood forecasting in the Lez Catchment in Southern France [PDF]

, 2012
The present study explores the application of a data assimilation (DA) procedure to correct the radar rain- fall inputs of an event-based, distributed, parsimonious hy- drological model.
Piacentini, Andrea, A. Piacentini, C. Bouvier, E. Harader, M. Coustau, Bouvier, Christophe, Borrell Estupina, Valérie, Borrell-Estupina, Valérie, V. Borrell-Estupina, O. Thual, Thual, Olivier, Ricci, Sophie, Coustau, Mathieu, S. Ricci, Harader, Elizabeth   +14 more
core   +2 more sources

Short-term rainfall nowcasting: using rainfall radar imaging [PDF]

, 2009
As one of the most useful sources of quantitative precipitation measurement, rainfall radar analysis can be a very useful focus for research into developing methods for rainfall prediction.
O\u27Connor, Edel, Wang, Peng, O'Connor, Noel E., O'Connor, Edel, Smeaton, Alan F., Songyang, Lao, O\u27Connor, Noel E., Ling, Yunxiang   +7 more
core   +2 more sources

Combining Classifiers for Delineation of Raining Cloud over North Algeria and Mediterranean Sea [PDF]

E3S Web of Conferences
In this paper, we presented the application of the classifier combination technique to classify cloud systems, namely stratiform and convective systems.
Bensafi Noureddine, Lazri Mourad, Absi Rafik, Labadi Karim, Ameur Soltane   +4 more
doaj   +1 more source

Rainfall Seasonality and Estimation Errors of Area-Average Rainfall [PDF]

Journal of Korea Water Resources Association, 2002
This study evaluates the variation of estimation error of area-average rainfall due to rainfall seasonality. Both the cases considering and not considering the spatial correlation are compared to derive the characteristics of estimation error. Similar cases with different accumulation time without considering the rainfall seasonality are also ...
openaire   +1 more source