By Nasrin Nasrollahi
This thesis transforms satellite tv for pc precipitation estimation during the integration of a multi-sensor, multi-channel method of present precipitation estimation algorithms, and offers extra exact readings of precipitation facts from space.
Using satellite tv for pc info to estimate precipitation from house overcomes the quandary of ground-based observations when it comes to availability over distant parts and oceans in addition to spatial insurance. besides the fact that, the accuracy of satellite-based estimates nonetheless must be improved.
The method brought during this thesis takes benefit of the hot NASA satellites in staring at clouds and precipitation. furthermore, machine-learning innovations also are hired to make the easiest use of remotely-sensed "big data." the implications supply an important development in detecting non-precipitating parts and lowering fake id of precipitation.
Read Online or Download Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery PDF
Best climatology books
In 2001 a panel representing almost the entire world's governments and weather scientists introduced they had reached a consensus: the area was once warming at a fee with out precedent in the course of a minimum of the final ten millennia, and that warming was once because of the accumulation of greenhouse gases from human job.
Climates and climate defined integrates climatology and meteorology to give a complete advent to the learn of the ambience. transparent factors of easy rules, recommendations and approaches are supported via a wealth of hugely informative illustrations and an array of case stories. The authors of this leading edge textbook/CD package deal supply priceless new insights into topical environmental issues together with weather swap, international warming, risks, sustainable inhabitants, environmental degradation, agriculture and drought.
Clouds impact the weather of the Earth, and they're an enormous consider the elements. accordingly, their radiative homes has to be understood in nice element. This publication summarizes present wisdom on cloud optical houses, for instance their skill to soak up, transmit, and mirror gentle, which is dependent upon the clouds’ geometrical and microphysical features reminiscent of sizes of droplets and crystals, their shapes, and buildings.
Satellite tv for pc observations and computing know-how have complicated our realizing of the monsoon weather greatly within the final twenty years. the writer offers an replace of the information won over this era, offering the fashionable morphology and the actual rules of monsoon weather version on all time scales starting from intraseasonal to tectonic time scales.
Extra resources for Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
5 Training and Validation Datasets, Summer Season 47 by cos(SZA)−1 resulted in a larger portion of visible data that can be used in the analyses. This study uses the same approach to normalize the visible channels. Only pixels with SZA < 60o are considered to minimize the uncertainty associated with a large SZA. 3) Uniform Distribution of Data One of the other methods to increase the accuracy of model’s training is to use a uniform distribution of data. Different cloud types have different distributions and that affects the results of the model outcome.
2011) provides information about the presence of surface precipitation. The determination of surface precipitation occurrence is based on the radar reflectivity data near the surface and the surface reflection characteristics. Higher radar reflectivity near the surface increases the probability of rain near the surface. The CloudSat Precip. flag data set, © Springer International Publishing Switzerland 2015 N. 1007/978-3-319-12081-2_5 33 34 5 Integration of CloudSat Precipitation Profile in Reduction of False Rain Fig.
2011). Applying the current algorithm, one can see an improvement of precipitation estimation in the winter season. During summertime NR pixels associated with high clouds are identified with high accuracy. As discussed earlier, high clouds account for the majority of false rain estimations in satellite rainfall algorithms. Therefore, using the proposed methodology has a significant role in reducing false rain. e. MODIS and GOES observations) could affect the results. 6 Case Study 37 Fig. 6 Case Study Two case studies on summer and winter precipitation events are presented here to show the application of this technique to improving the quality of satellite rain estimation.