File upload size is currently capped at 500MB. For assistance adding larger files, please contact discovery-access-systems@nottingham.ac.uk
Thumbnail Image

Nine months of daily LiDAR and MetOcean data along the eroding soft cliff coast of Happisburgh, Norfolk, UK

Publication Date
June 6, 2023
Creators
Description
The repository contains the codes for retrieving the total precipitation and sea states parameters at Happisburgh for the observation time described in the paper Nine months of daily LiDAR and MetOcean data along the eroding soft cliff coast of Happisburgh, Norfolk, UK (Pennington et al. 2023). The codes are written in Python and require the use of the CDS API, which can be obtained by ECMWF (https://github.com/ecmwf/cdsapi) Coverage (Spatial): Norfolk, UK
External URI
DOI
Subjects (LCSH)

Coasts -- Remote sens...

Coast changes – Engla...

Precipitation (Meteor...

Subjects

Norfolk, United Kingd...

Subjects (JACS)

Physical sciences::Ph...

Physical sciences::Ph...

Subjects (LC)

G Geography. Anthropo...

Divisions
University of Nottingham, UK Campus
Data type
Code
Funders
Data collection method
Software
Resource languages
English
Publisher
Springer nature
Date Issued
June 6, 2023
Except where otherwise noted, this item's license is described as
File(s)
Thumbnail Image
Name

happi_swan_input_retrieve.py

Size

1.59 KB

Format

Unknown

Checksum (MD5)

ec25cf4ce972755d97561f3526493815

Thumbnail Image
Name

happi_precipitation_retrieve.py

Size

1.51 KB

Format

Unknown

Checksum (MD5)

58766b3f7018a2fd45254b9135834caf