Sorry to hear that. Here are some steps you can take to troubleshoot the error:

I hope this helps you to resolve the issue with SDSM.

Thank you very much for your reply.

I will proceed accordingly with this recommendations, and hopefully I can overcome this situation.

On the same note, I have a

question please, I don't have a daily data, so is it possible to use just the monthly data? and how?

I would really appreciate you assistance

Yes, it is possible to use monthly data to predict rainfall, but the accuracy of the predictions may be reduced compared to using daily data.

To forecast rainfall using monthly data and SDSM, follow these general steps:

1. Collect monthly data: For the variables you intend to use in SDSM, such as temperature, precipitation, and other important climatic variables, you will need to collect monthly data.

2. Define your data's spatial and temporal resolution: The spatial and temporal resolution of your data will be determined by the scale of your study region and the availability of data.

3. Preprocess your data: You must preprocess your data to ensure that it is in the correct format and that any missing or incorrect data is handled correctly.

4. Train the SDSM model: You will need to use the monthly data to train the SDSM model, which involves fitting the model to the historical data to learn the statistical relationship between the large-scale climate variables and the local-scale climate variables (such as rainfall).

5. Validate the model: Once the model is trained, you will need to validate it to ensure that it can accurately predict rainfall for the study area.

It is worth noting that the accuracy of SDSM predictions can be affected by the spatial and temporal resolution of the data, the quality of the input data, and the assumptions made by the model. Therefore, it is important to carefully consider these factors when using SDSM to predict rainfall.

we can also follow this paper:

Article Application of Statistical Downscaling Model (SDSM) for long...

the start and end date should be same as predictor's. You have to change date while prediction

Hello. How did you fix this error?

Hello Adilson Greva

Yes, you have to open the calibrated output file and see if any non-English characters are present to rewrite it in English... it happens!

Please note that SDSM will provide you with results at the end, even if the parameters, study duration, type of time series step (daily, monthly...), etc. are incorrect.

Warm Regards

Abdi-Basid ADAN

Dear Najmeh Khalaji

Have you resolved the issue in your model?