Learning climate science

There are some MOOC course on climate science with machine learning by ECMWF:

1. ML in Weather & Climate

2. Concepts of Machine Learning

3. Practical ML applications in Weather & Climate

In addition, ECMWF also teach Data Assimilation  and Numerical weather prediction. I think this is the best place to learn machine learning to annalyze the climate science.

References:

https://lms.ecmwf.int/course/index.php?categoryid=1

https://lms.ecmwf.int/

Is DSSAT crop model ?

 Dear all,

I have noticed that many researcher are reporting that "DSSAT is a model" i.e

Even in conferences, they are mentioning that yield simulation was done using "DSSAT model". 

Unfortunately, it is wrong. DSSAT is not a model.

Q. Why DSSAT is not a model ?

Ans: As DSSAT website has clearly mentioned that DSSAT is a software application program comprises dynamic crop growth simulation models and intact with soil and water module.

Q. What is model in DSSAT

Ans: DSSAT have several Crop Simulation Models (CSM) such as: CERES for cereal crops, Substor for root crops, CANEGRO for sugarcane, CROPGROW for peanut and oilseed and many more.

Q. So, What is the right way to write/cite or mentioned

Ans: Well, DSSAT have different crop models over 42 crops then it can write as DSSAT-CSM-(Crop model name i.e. CERES or ..). 

However, Aquacrop, GECROS, SPASS, STICS, SIRUS, LINTUL, WOFOST are popular crop models. 

Reference:

https://dssat.net/