Add to ORKGThe present study was carried out within four years period covering from 2000 to 2003 where the amount of rainfall in Western Iran (Kermanshah) was recorded by precipitation stations. PW was calculated using the data obtained through MODIS satellite. Using the curve and upon choosing the fittest index PW as independent variable and the rainfall average precipitation (P) as dependent variable, from among the PW, the suitable cloud seeding threshold was estimated. The thresholds obtained through MODIS for cloud seeding and PW were compared across 17 cases. This method employed showed high correlation. The thresholds obtained were 12 mm. With these factors (PW and P) we can study on threshold of cloud seeding
Climate change has had devastating effects on water resources in many countries. Many volumes of Ira...
Precipitation in semi-arid countries such as Iran is one of the most important elements for all aspe...
Severe convective storms are responsible for large amount of damage each year around the world. They...
Studying clouds is a top priority among many atmospheric scientists because clouds are one of the gr...
Many studies have carried out calculations related to atmospheric lability as a reference in weather...
In recent years, satellite data has been used to estimate precipitation with the aim of increasing t...
Operational cloud seeding programs have been increasingly deployed in several countries to augment n...
Precipitation as an essential component of the hydrologic cycle has a great importance to be measure...
Studying the moisture sources responsible for precipitation in Iran is highly important. In recent y...
Satellite precipitation estimation at high spatial and temporal resolutions is beneficial for resear...
One of remote sensing image that can be used to estimate rainfall for regional scope is MODIS image....
In the Indian monsoon region, frequent cloud cover in the rainy season results in less valid satelli...
In this study, the frequency of effective jet streams was analyzed in extreme and widespread precipi...
In the Indian monsoon region, frequent cloud cover in the rainy season results in less valid satelli...
Abstract: Surface-based precipitation measurements with high accuracy on different spatial-temporal ...
Climate change has had devastating effects on water resources in many countries. Many volumes of Ira...
Precipitation in semi-arid countries such as Iran is one of the most important elements for all aspe...
Severe convective storms are responsible for large amount of damage each year around the world. They...
Studying clouds is a top priority among many atmospheric scientists because clouds are one of the gr...
Many studies have carried out calculations related to atmospheric lability as a reference in weather...
In recent years, satellite data has been used to estimate precipitation with the aim of increasing t...
Operational cloud seeding programs have been increasingly deployed in several countries to augment n...
Precipitation as an essential component of the hydrologic cycle has a great importance to be measure...
Studying the moisture sources responsible for precipitation in Iran is highly important. In recent y...
Satellite precipitation estimation at high spatial and temporal resolutions is beneficial for resear...
One of remote sensing image that can be used to estimate rainfall for regional scope is MODIS image....
In the Indian monsoon region, frequent cloud cover in the rainy season results in less valid satelli...
In this study, the frequency of effective jet streams was analyzed in extreme and widespread precipi...
In the Indian monsoon region, frequent cloud cover in the rainy season results in less valid satelli...
Abstract: Surface-based precipitation measurements with high accuracy on different spatial-temporal ...
Climate change has had devastating effects on water resources in many countries. Many volumes of Ira...
Precipitation in semi-arid countries such as Iran is one of the most important elements for all aspe...
Severe convective storms are responsible for large amount of damage each year around the world. They...