Evaluating and Improving Snow in the National Water Model, using Observations from the New York State Mesonet
This dataset repository contains the dataset that supports the study of Minder et al. (2024): Evaluating and Improving Snow in the National Water Model, using Observations from the New York State Mesonet. The datasets in this archive include output from distributed simulations of the WRF Hydro model, output from point simulations with the Noah-MP land surface model, and manual and automated snow water equivalent (SWE) observations at New York State Mesonet (NYSM) station locations. The formatting and file naming conventions for each dataset are described in detail in the minder_etal_NWM_snow_dataset_ReadMe.pdf file.
4 Files, 10.74 GB Total Size
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- Temporal Range
- 2017-01-01 to 2022-01-01
- Temporal Resolution
- 1.0 hour
0.5 hour
- Related Links
- N/A
- GCMD Science Keywords
- File Media Types
UCAR/NCAR - Research Applications Laboratory
arezoo@ucar.edu
UCAR/NCAR - GDEX
gdex@ucar.edu
- Credit
- This work was supported by NOAA grants NA19OAR4590203 and NA19OAR4590204.
- Legal Constraints
- Creative Commons Attribution 4.0 International License.
- Access Constraints
- None
- Full Metadata DIF XML
ISO19139 XML
OAI DC
JSON-LD
- Version History
- 1.0
- Latitude Range
- 40.604014° N to 44.89565° N
- Longitude Range
- 79.62408° W to 72.465866° W
- Authors
- Arezoo RafieeiNasab
Theodore W. Letcher
Justin R. Minder
Patrick W. Naple
Junhong Wang
- Suggested Citation
- Downloads
- 128
- Download Volume
- 714.97 MB Total