Ruben Imhoff

fft_method pyfftw causes unexpected noise additions when using multi-threading

4

If I run an ensemble using multiple cores (so, dask will parallellize the ensemble members over the cores), it seems that the ensemble order is lost, resulting in weird transitions...

cv2 optflow attributes part of main module in newest version

1

Hi Georgy, I found out that in the latest version(s) of cv2, the creatOptFlow attributes are no longer part of cv2.optflow, but of the main branch of cv2, so: ```...

trf.estimate gives error due to empty pts_target array

5

Hi Georgy, With a small test for a local event, I got the following error when running the Sparse model: It seems that pts_target is an empty array for that...

Minor print statement change to print the right information in the check_norain function in the blending.utils module.

Add Kalman-filter based post-processing to blending scheme

12

As discussed at the start of our blending implementation and re-discussed during this year's EGU, we can still improve the post-processing that takes place in the blending procedure. Right now,...

Fix: make sure that precip_models variable has the correct length

1

Fix to ensure that the `_check_inputs` function in `/blending/steps.py` looks for the correct `precip_models` length when a list of timesteps instead of an integer is provided.

fix: make sure netcdf exporters can handle list of timesteps

1

This PR ensures that the netcdf exporters can handle a list of timesteps next to just an integers number of timesteps. One of pysteps' functionalities is that you can give...

The current STEPS blending procedure implicitly uses the STEPS nowcasting procedure, but in principle, a similar approach should also be possible with other conventional and machine-learning nowcasting models. We could...

Currently, the STEPS blending procedure determines the weights for the extrapolation, NWP and noise components with generally an increasing weight for the noise component for longer lead times. Although this...

Implement Reduced-Space Ensemble Kalman Filter Approach for Blending

1

Next to the already implemented STEPS blending approach (Bowler et al., 2006; Seed et al., 2013 and our paper Imhoff et al., 2023), we thought it was getting time to...