A Call for More Snow Sampling
The snowpack is important for water resources, tourism, ecology, and the global energy budget. Over the past century, we have gone from point measurements of snow water equivalent (SWE) to estimate spring and summer runoff volumes, to remote sensing of various snowpack properties at continuously fin...
Guardado en:
Autor principal: | |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/db3f3e7856c34b1e8560a7ffd67c927b |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:db3f3e7856c34b1e8560a7ffd67c927b |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:db3f3e7856c34b1e8560a7ffd67c927b2021-11-25T17:42:40ZA Call for More Snow Sampling10.3390/geosciences111104352076-3263https://doaj.org/article/db3f3e7856c34b1e8560a7ffd67c927b2021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3263/11/11/435https://doaj.org/toc/2076-3263The snowpack is important for water resources, tourism, ecology, and the global energy budget. Over the past century, we have gone from point measurements of snow water equivalent (SWE) to estimate spring and summer runoff volumes, to remote sensing of various snowpack properties at continuously finer spatial and temporal resolutions, to various complexities of snowpack and hydrological modeling, to the current fusion of field data with remote sensing and modeling, all to improve our estimates of the snowpack and the subsequent runoff. However, we are still limited by the uncertainty induced by scaling from point field measurements to the area represented by remote sensing and modeling. This paper uses several examples of fine-resolution sampling to issue a call to snow hydrologists and other earth scientists to collect more data, or at least to thoroughly evaluate their sampling strategy for collecting ground-truth measurements. Recommendations are provided for different approaches to have more representative sampling, when at all possible, to collect at least a few more samples or data points.Steven R. FassnachtMDPI AGarticlescalingsnow hydrologysampling strategiesGeologyQE1-996.5ENGeosciences, Vol 11, Iss 435, p 435 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
scaling snow hydrology sampling strategies Geology QE1-996.5 |
spellingShingle |
scaling snow hydrology sampling strategies Geology QE1-996.5 Steven R. Fassnacht A Call for More Snow Sampling |
description |
The snowpack is important for water resources, tourism, ecology, and the global energy budget. Over the past century, we have gone from point measurements of snow water equivalent (SWE) to estimate spring and summer runoff volumes, to remote sensing of various snowpack properties at continuously finer spatial and temporal resolutions, to various complexities of snowpack and hydrological modeling, to the current fusion of field data with remote sensing and modeling, all to improve our estimates of the snowpack and the subsequent runoff. However, we are still limited by the uncertainty induced by scaling from point field measurements to the area represented by remote sensing and modeling. This paper uses several examples of fine-resolution sampling to issue a call to snow hydrologists and other earth scientists to collect more data, or at least to thoroughly evaluate their sampling strategy for collecting ground-truth measurements. Recommendations are provided for different approaches to have more representative sampling, when at all possible, to collect at least a few more samples or data points. |
format |
article |
author |
Steven R. Fassnacht |
author_facet |
Steven R. Fassnacht |
author_sort |
Steven R. Fassnacht |
title |
A Call for More Snow Sampling |
title_short |
A Call for More Snow Sampling |
title_full |
A Call for More Snow Sampling |
title_fullStr |
A Call for More Snow Sampling |
title_full_unstemmed |
A Call for More Snow Sampling |
title_sort |
call for more snow sampling |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/db3f3e7856c34b1e8560a7ffd67c927b |
work_keys_str_mv |
AT stevenrfassnacht acallformoresnowsampling AT stevenrfassnacht callformoresnowsampling |
_version_ |
1718412134830833664 |