- Teacher: Daniel Rosenfeld
- TA: Yonatan Givon
The course deals with the use of remote sensing instruments for quantitative precipitation estimation. The course will: (a) explain the methods commonly used to derive quantitative precipitation estimation from weather radars and satellite sensors (microwave and visible/infrared); (b) examine the strengths and weaknesses of different sensors and methods; and (c) introduce to the use of remote sensing precipitation data sets with basic exercises.
The course is organized in lectures and exercises. The students will present a scientific paper on one aspect of the topic of their interest. The exercises consist in reading and analyzing remote sensing data sets for a basic application. Knowledge of a programming language is recommended. The evaluation consists in: written/oral examination (70%), presentation (15%), assignments (15%)
The course will touch the following topics:
1. The need for remote sensing of precipitation
2. Weather radars
a. Radar radiation, radar equation, radar reflectivity
b. Estimation of the rain rate from the radar reflectivity: assumptions and common methods
c. Sources of errors in radar estimates
d. Introduction to correction algorithms
e. Basics on dual polarization weather radars
3. Satellite based methods
a. Radiative transfer in the atmosphere
b. Weighting functions
c. Rainfall retrieval based on visible-infrared sensors
d. Rainfall retrieval based on MW sensors
e. Multi-satellite multi-sensor products
4. Use of remote sensing precipitation products for some basic application
On successful completion of the course, the students will know how quantitative precipitation estimates from remote sensing instruments are commonly developed, what are the strengths and weaknesses of different sensors and methods, and have the basic elements to use and analyze remote sensing data.
The course will be given in English in the 2nd semester, at the Institute of Earth Sciences, E.J. Safra campus (Givat Ram), Jerusalem.
Email: marra.francesco@mail.huji.ac.il
The course is organized in lectures and exercises. The students will present a scientific paper on one aspect of the topic of their interest. The exercises consist in reading and analyzing remote sensing data sets for a basic application. Knowledge of a programming language is recommended. The evaluation consists in: written/oral examination (70%), presentation (15%), assignments (15%)
The course will touch the following topics:
1. The need for remote sensing of precipitation
2. Weather radars
a. Radar radiation, radar equation, radar reflectivity
b. Estimation of the rain rate from the radar reflectivity: assumptions and common methods
c. Sources of errors in radar estimates
d. Introduction to correction algorithms
e. Basics on dual polarization weather radars
3. Satellite based methods
a. Radiative transfer in the atmosphere
b. Weighting functions
c. Rainfall retrieval based on visible-infrared sensors
d. Rainfall retrieval based on MW sensors
e. Multi-satellite multi-sensor products
4. Use of remote sensing precipitation products for some basic application
On successful completion of the course, the students will know how quantitative precipitation estimates from remote sensing instruments are commonly developed, what are the strengths and weaknesses of different sensors and methods, and have the basic elements to use and analyze remote sensing data.
The course will be given in English in the 2nd semester, at the Institute of Earth Sciences, E.J. Safra campus (Givat Ram), Jerusalem.
Email: marra.francesco@mail.huji.ac.il
- Teacher: Marra Francesco