Published September 8, 2023
| Version 2
Dataset
Open
Data set: Statistically parameterizing and evaluating a positive degree-day model to estimate surface melt in Antarctica from 1979 to 2022
- 1. Antarctic Research Centre, Victoria University of Wellington, Wellington, New Zealand
Description
Version 2:
Updates from version 1: Monthly, daily, and hourly dist-PDD and uni-PDD outputs have been added.
https://doi.org/10.5194/tc-17-3667-2023
Version 1:
This dataset accompanies Zheng et al. (2023): Statistically parameterizing and evaluating a positive degree-day
model to estimate surface melt in Antarctica from 1979 to 2022, The Cryosphere.
This dataset contains annual PDD model output.
Files
Files
(18.3 GB)
Name | Size | Download all |
---|---|---|
md5:1a79b376a9143fc91a972a7c9952d78f
|
710.8 kB | Download |
md5:ee4527dc6661f4621a5889cd21372b88
|
19.8 MB | Download |
md5:860f40f57979029c8dc58663851efe6e
|
31.6 kB | Download |
md5:47c776850adb04a623279a60d67cc0fe
|
273.8 MB | Download |
md5:e405966d611121d86f6b4afc5b69dc69
|
2.0 MB | Download |
md5:46cce563b96ec993c7d1b3fe7fbdff7c
|
34.4 kB | Download |
md5:cb23740c3c2c2b880a431c8491c90c28
|
720.1 kB | Download |
md5:3269898c1f6ce1d18e5add5b0cf8ea7d
|
825.6 MB | Download |
md5:e7ec21a291fbd997a5edd2ca922d0ea0
|
17.1 GB | Download |
md5:eff5039eed4d0f4befcbc79aa5e93e4e
|
37.7 MB | Download |