Our skill in modeling mountain rain and snow is bypassing the skill of our observational networks
In mountain terrain, well-configured high-resolution atmospheric models are able to simulate total annual rain and snowfall better than spatial estimates derived from in situ observational networks of precipitation gauges, and significantly better than radar or satellite-derived estimates. This conc...
Published in: | Bulletin of the American Meteorological Society |
---|---|
Other Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://doi.org/10.1175/BAMS-D-19-0001.1 |
id |
ftncar:oai:drupal-site.org:articles_23087 |
---|---|
record_format |
openpolar |
spelling |
ftncar:oai:drupal-site.org:articles_23087 2024-04-28T08:25:47+00:00 Our skill in modeling mountain rain and snow is bypassing the skill of our observational networks Lundquist, Jessica (author) Hughes, Mimi (author) Gutmann, Ethan (author) Kapnick, Sarah (author) 2019-12-01 https://doi.org/10.1175/BAMS-D-19-0001.1 en eng Bulletin of the American Meteorological Society--Bull. Amer. Meteor. Soc.--0003-0007--1520-0477 articles:23087 ark:/85065/d7d221s1 doi:10.1175/BAMS-D-19-0001.1 Copyright 2019 American Meteorological Society. article Text 2019 ftncar https://doi.org/10.1175/BAMS-D-19-0001.1 2024-04-04T17:32:42Z In mountain terrain, well-configured high-resolution atmospheric models are able to simulate total annual rain and snowfall better than spatial estimates derived from in situ observational networks of precipitation gauges, and significantly better than radar or satellite-derived estimates. This conclusion is primarily based on comparisons with streamflow and snow in basins across the western United States and in Iceland, Europe, and Asia. Even though they outperform gridded datasets based on gauge networks, atmospheric models still disagree with each other on annual average precipitation and often disagree more on their representation of individual storms. Research to address these difficulties must make use of a wide range of observations (snow, streamflow, ecology, radar, satellite) and bring together scientists from different disciplines and a wide range of communities. Article in Journal/Newspaper Iceland OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) Bulletin of the American Meteorological Society 100 12 2473 2490 |
institution |
Open Polar |
collection |
OpenSky (NCAR/UCAR - National Center for Atmospheric Research/University Corporation for Atmospheric Research) |
op_collection_id |
ftncar |
language |
English |
description |
In mountain terrain, well-configured high-resolution atmospheric models are able to simulate total annual rain and snowfall better than spatial estimates derived from in situ observational networks of precipitation gauges, and significantly better than radar or satellite-derived estimates. This conclusion is primarily based on comparisons with streamflow and snow in basins across the western United States and in Iceland, Europe, and Asia. Even though they outperform gridded datasets based on gauge networks, atmospheric models still disagree with each other on annual average precipitation and often disagree more on their representation of individual storms. Research to address these difficulties must make use of a wide range of observations (snow, streamflow, ecology, radar, satellite) and bring together scientists from different disciplines and a wide range of communities. |
author2 |
Lundquist, Jessica (author) Hughes, Mimi (author) Gutmann, Ethan (author) Kapnick, Sarah (author) |
format |
Article in Journal/Newspaper |
title |
Our skill in modeling mountain rain and snow is bypassing the skill of our observational networks |
spellingShingle |
Our skill in modeling mountain rain and snow is bypassing the skill of our observational networks |
title_short |
Our skill in modeling mountain rain and snow is bypassing the skill of our observational networks |
title_full |
Our skill in modeling mountain rain and snow is bypassing the skill of our observational networks |
title_fullStr |
Our skill in modeling mountain rain and snow is bypassing the skill of our observational networks |
title_full_unstemmed |
Our skill in modeling mountain rain and snow is bypassing the skill of our observational networks |
title_sort |
our skill in modeling mountain rain and snow is bypassing the skill of our observational networks |
publishDate |
2019 |
url |
https://doi.org/10.1175/BAMS-D-19-0001.1 |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
Bulletin of the American Meteorological Society--Bull. Amer. Meteor. Soc.--0003-0007--1520-0477 articles:23087 ark:/85065/d7d221s1 doi:10.1175/BAMS-D-19-0001.1 |
op_rights |
Copyright 2019 American Meteorological Society. |
op_doi |
https://doi.org/10.1175/BAMS-D-19-0001.1 |
container_title |
Bulletin of the American Meteorological Society |
container_volume |
100 |
container_issue |
12 |
container_start_page |
2473 |
op_container_end_page |
2490 |
_version_ |
1797585465849675776 |