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
On the Detection of Remotely Sensed Soil Moisture Extremes
-
2023
-
-
Source: Journal of Applied Meteorology and Climatology (2023)
Details:
-
Journal Title:Journal of Applied Meteorology and Climatology
-
Personal Author:
-
NOAA Program & Office:
-
Description:Remotely sensed soil moisture observations provide an opportunity to monitor hydrological conditions from droughts to floods. The European Space Agency’s (ESA) Climate Change Initiative has released both Combined and Passive datasets, which include multiple satellites’ measurements of soil moisture conditions since the 1980s. In this study, both volumetric soil moisture and soil moisture standardized anomalies from the U.S. Climate Reference Network (USCRN) were compared to ESA’s Combined and Passive datasets. Results from this study indicate the importance of using standardized anomalies over volumetric soil moisture conditions as satellite datasets were unable to capture the frequency of conditions observed at the extreme ends of the volumetric distribution. Overall, the Combined dataset had slightly lower measures of soil moisture anomaly errors for all regions; although these differences were not statistically significant. Both satellite datasets were able to detect the evolution from worsening to amelioration of the 2012-drought across the Central U.S. and 2019-flood over the Upper Missouri River Basin. While the ESA datasets were not able to detect the magnitude of the extremes, the ESA standardized datasets were able to detect the inter-annual variability of extreme wet and dry day counts for most climate regions. These results suggest that remotely sensed standardized soil moisture can be included in hydrological monitoring systems and combined with in situ measures to detect the magnitude of extreme conditions.
-
Keywords:
-
Source:Journal of Applied Meteorology and Climatology (2023)
-
DOI:
-
ISSN:1558-8424;1558-8432;
-
Publisher:
-
Document Type:
-
Rights Information:Other
-
Compliance:Library
-
Main Document Checksum:
-
Download URL:
-
File Type: