Description
The 2022 edition of ASCE 7 introduced reliability-targeted snow loads (RTSLs) for structural design. The development of design snow loads for locations outside the Conterminous United States (OCONUS) requires methods that can provide reliable estimates in regions with varying station density and climatic conditions. This repository contains the data and code used to develop and evaluate a climate-analog approach for estimating RTSLs at international locations. The climate-analog method identifies reference stations with similar climatic and geographic characteristics and uses their estimated RTSLs to predict snow loads at locations where direct observations are limited or unavailable. The methodology relies on station-level RTSLs provided in a separate data release (Brimhall et al., 2026). These RTSLs serve as the reference data for model development, validation, and prediction.
Author ORCID Identifier
Shaveen Britto https://orcid.org/0000-0002-2540-4429
Nicholas Brimhall https://orcid.org/0009-0008-7410-0166
Cameron Swapp https://orcid.org/0009-0004-9019-1097
Brennan Bean https://orcid.org/0000-0002-2853-0455
Document Type
Dataset
DCMI Type
Dataset
File Format
.csv, .R
Publication Date
9-10-2026
Publisher
Utah State University
Language
eng
Code Lists
see README
Disciplines
Statistics and Probability
License
This work is licensed under a Creative Commons Attribution 4.0 License.
Identifier
https://doi.org/10.26078/nhxr-wk89
Recommended Citation
Britto, Shaveen; Brimhall, Nicholas; Swapp, Cameron; Bean, Brennan; Gardner, Jayden; and Fluckiger, Hannah, "Base Maps and Other Source Files for: A Global Database of Reliability-Targeted Snow Loads" (2026). Browse all Datasets. Paper 271.
https://digitalcommons.usu.edu/all_datasets/271
Checksum
B2999AF2436ED95FBB45D7F520D0A9DF
Additional Files
README.txt (27 kB)Checksum: 45fc261d8f7d68ccac61586adcf66a4f
packages.zip (1983 kB)
Checksum: 1877f09a8e66d3eb490854cb8d7794cf
outlier_data.zip (67681 kB)
Checksum: 28f02f14ed6306952c86935f02743c6f
validation_scripts.zip (293305 kB)
Checksum: 226fa267ef84e7db9b2452838d6dc65a
snoconus_data.zip (2496377 kB)
Checksum: 19d43d93e008f86979b96639d61f4bf6
rgam_na.zip (742882 kB)
Checksum: 1b2b8a65504c980292a14dcdb06772df
gam_eu_jp.zip (66509 kB)
Checksum: 5542fe6560d0539902b2b78fdee330ca