The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners.
As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.
i
Improving SWE Estimation With Data Assimilation: The Influence of Snow Depth Observation Timing and Uncertainty
-
2020
-
Source: Water Resources Research, 56(5)
Details:
-
Journal Title:Water Resources Research
-
Personal Author:
-
NOAA Program & Office:
-
Description:Snow depth observations can be leveraged with data assimilation (DA) to improve estimation of snow density and snow water equivalent (SWE). A key consideration for mission and campaign design ishow snow depth retrieval characteristics (including observation timing/frequency and sampling error) influence SWE accuracy and uncertainty in a DA framework. To quantify these effects, we implement a particle filter (PF) assimilation technique to assimilate depth and validate this approach against observed snow density and SWE at 49 snow telemetry sites across 9 years. We sample from continuous in situ snow depth records to test a range of measurement timing and sampling error scenarios representative of remote sensing capabilities. Assimilation reduces density bias by over 40% and SWE bias by over 70% acrossclimate zones and in both wet and dry years. There is little incremental bene fit to SWE accuracy when
-
Keywords:
-
Source:Water Resources Research, 56(5)
-
DOI:
-
ISSN:0043-1397;1944-7973;
-
Format:
-
Publisher:
-
Document Type:
-
Rights Information:Other
-
Compliance:Library
-
Main Document Checksum:
-
Download URL:
-
File Type: