MemoryError Upon Reading in NumPy Array

[wshn25]

---

MemoryError Traceback (most recent call last)
/tmp/ipykernel_47938/1785810078.py in
1 new_time = np.array(time, dtype='datetime64[ns]')
----> 2 new_ref = np.array(DBZH, dtype='uint8')
3 new_velv = np.array(VELV, dtype='uint8')
4 new_velh = np.array(VELH, dtype='uint8')
5

MemoryError: Unable to allocate 712. MiB for an array with shape (288, 2592000) and data type uint8

---

That's the problem I faced. Here's the script I used:
new_time = np.array(time, dtype='datetime64[ns]')
new_ref = np.array(DBZH, dtype='uint8')
new_velv = np.array(VELV, dtype='uint8')
new_velh = np.array(VELH, dtype='uint8')

---

Can anyone help me to solve this issue?
I have already changed dtype from float to uint8, and it seemed to get troubled.

[zssherman]

I'm not sure how your generating DBZH based on the code, but that array does seem rather large. I would try reading in those arrays with dask in chunks.

[wshn25]

Thank you for the help. I am working on QVP by using S-Band radar data. So, it seems difficult for me to define each wind component.
And it seems for another parameter also gets the same error with DBZH.