Published September 4, 2022
| Version
v1
Dataset
Open
Deep learning models for generation of precipitation maps based on NWP Data
Creators
Description
Numpy arrays used in the paper "Deep learning models for generation of precipitation maps based on NWP".
trn = training set
vld = validation set
tst = test set
x = COSMO-DE-EPS ensemble statistics
y = high definition radar precipitation
t = time
c = COSMO-DE-EPS precipitation prediction
Files
Files
(16.2 GB)
| Name | Size | Download all |
|---|---|---|
|
Checksum: md5:84086e76529d4fa7e1bc8140761a2ba5
PID: http://hdl.handle.net/11304/15692434-d101-4635-8236-fd6a7c660fcc |
78.7 MB | Download |
|
Checksum: md5:7d0e7fb2dfa8a9d1dec443147c8683e1
PID: http://hdl.handle.net/11304/d82f20be-f362-45de-beaa-d7ddd913949c |
121.6 kB | Download |
|
Checksum: md5:5496fba844b4ae825d84654b2a283daa
PID: http://hdl.handle.net/11304/4544bf77-4d09-465a-abb1-0f1ead40f6c4 |
11.3 GB | Download |
|
Checksum: md5:f06c3653ece3ff2d390e7cb241191742
PID: http://hdl.handle.net/11304/99fef02e-44c8-4c90-a387-a3a4b23a8ce9 |
629.9 MB | Download |
|
Checksum: md5:884902a21cab817ba757975847ef6302
PID: http://hdl.handle.net/11304/84848988-cf88-4ee4-94ea-eb615056e67d |
13.8 MB | Download |
|
Checksum: md5:982b852d05ff4e5e2fe164241f2c925b
PID: http://hdl.handle.net/11304/6e641d0d-a3d8-446f-95fe-eae0c62a52b1 |
21.5 kB | Download |
|
Checksum: md5:6b9fbb794de8b62cb137b1a15e82f50b
PID: http://hdl.handle.net/11304/5797a295-6fb9-4070-9d04-8639583d9edf |
2.0 GB | Download |
|
Checksum: md5:f57df71877e8fb522f33905752401fc6
PID: http://hdl.handle.net/11304/e49e253e-0e99-4d81-a089-3b7110b1a716 |
110.8 MB | Download |
|
Checksum: md5:67fd75940f9c70a5ad7b6227c8bbdf0d
PID: http://hdl.handle.net/11304/af23b836-cb47-4d5f-8bdb-a2a942ae7552 |
14.1 MB | Download |
|
Checksum: md5:76814cf71ccf31db439c56e63e6c1ec6
PID: http://hdl.handle.net/11304/af1035fb-98a2-4b34-b98e-af5ea2603043 |
21.9 kB | Download |
|
Checksum: md5:2cd8507db38f7ff1d0db6b61f09d2146
PID: http://hdl.handle.net/11304/14a80680-53ec-497f-83ad-1651668a7f0e |
2.0 GB | Download |
|
Checksum: md5:21812f849a6ab45508bb9ec8acd3d9e4
PID: http://hdl.handle.net/11304/fc7fd8f1-76f5-4549-94da-9375cf9be472 |
113.0 MB | Download |
Additional details
Identifiers
- B2SHARE Legacy Record ID
- 29114d62d61d407cae4f3c407b71c87c
- B2SHARE Legacy Record ID
- 60c69270d36243779fd771c2fd81fc87