Sean R Helfrich

Sean R Helfrich
National Oceanic and Atmospheric Administration | NOAA · Office of Satellite and Product Operations

About

14
Publications
1,660
Reads
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488
Citations
Citations since 2017
2 Research Items
258 Citations
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201720182019202020212022202301020304050
201720182019202020212022202301020304050

Publications

Publications (14)
Article
Full-text available
This work assesses the AMSR2 (the Advanced Microwave Scanning Radiometer 2) ice extent and ice edge in the Arctic using the ice extent products of NOAA’s Interactive Multisensor Snow and Ice Mapping System (IMS) from the period of July 2015 to July 2019. Daily values and monthly means of four statistical scores (hit rate, false alarm ratio, false a...
Poster
Near real time observations of snow depth are used as inputs to Numerical Weather Prediction (NWP) models at National Centers for Environmental Prediction (NCEP) and other climate and prediction agencies. Recently, an operational blended snow depth analysis has been developed at NOAA and integrated into the Interactive Multisensor Snow and Ice Mapp...
Conference Paper
The ultimate objective of this work is to improve characterization of the ice cover distribution in the polar areas, to improve sea ice mapping and to develop a new automated real -time high spatial resolution multi- sensor ice extent and ice edge product for use in operational applications. Despite a large number of currently available automated s...
Conference Paper
Full-text available
This paper presents a new approach to operational snow depth analysis. The analysis uses 2-dimensional optimal interpolation to blend various snow depth data weighted against their errors relative to a first guess and spatial correlations. The blended analysis is applied operationally within the National Oceanic and Atmospheric Administration (NOAA...
Article
Full-text available
Passive microwave sensors have produced a 35 year record of sea-ice concentration variability and change. Operational analyses combine a variety of remote-sensing inputs and other sources via manual integration to create high-resolution, accurate charts of ice conditions in support of navigation and operational forecast models. One such product is...
Presentation
Full-text available
The presentation focuses on of a blended snow depth analysis in support of Numerical Weather Prediction (NWP) models at NOAA’s Centers For Environmental Prediction (NCEP). The analysis uses optimal interpolation method to combine in-situ snow depth with that from satellite remote sensing measurements. Example applications and evaluation results are...
Conference Paper
A new snow depth analysis over the Northern Hemisphere using optimal interpolation has been developed at NOAA and integrated into a new version of the Interactive Multi-Sensor Snow and Ice Mapping (IMS) System. The IMS snow cover and the new snow depth analysis are important applications for National Centers for Environmental Prediction (NCEP)'s Nu...
Article
Full-text available
In this study, daily maps of snow cover distribution and sea ice extent produced by NOAA's interactive multisensor snow and ice mapping system (IMS) were validated using in situ snow depth data from observing stations obtained from NOAA's National Climatic Data Center (NCDC) for calendar years 2006 to 2010. IMS provides daily maps of snow and sea i...
Article
The National Oceanic and Atmospheric Administration's National Environmental Satellite Data and Information Service (NOAA/NESDIS) Interactive Multisensor Snow and Ice Mapping System (IMS) has undergone substantial changes since its inception in 1997. These changes include the data sources used to generate the product, methodology of product creatio...
Article
The retrieval of Snow Water Equivalent (SWE) from remote sensing satellites continues to be a very challenging problem. In this paper, we evaluate the accuracy of a new SWE product derived from the blending of a passive microwave SWE product based on the Advanced Microwave Sounding Unit (AMSU) with a multi-sensor snow cover extent product based on...
Article
Full-text available
The retrieval of Snow Water Equivalent (SWE) from remote sensing satellites continues to be a very challenging problem. In this paper, we evaluate a new SWE product derived from the blending of a passive microwave Snow Water Equivalent product based on the Advanced Microwave Sounding Unit (AMSU) with the Interactive Multi-sensor Snow and Ice Mappin...
Article
The temporal and spatial continuity of spatially distributed estimates of snow-covered area (SCA) are limited by the availability of cloud-free satellite imagery; this also affects spatial estimates of snow water equivalent (SWE), as SCA can be used to define the extent of snow telemetry (SNOTEL) point SWE interpolation. In order to extend the cont...
Conference Paper
Snowcover and snowpack information are used extensively by water resources managers to estimate peak streamflows and seasonal runoff volumes. In the southwestern US, the NASA EOS Southwestern Regional Earth Science Applications Center is providing these data to users, such as the Salt River Project, to improve hydrologic predictions. Snowpack water...
Article
Full-text available
ABSTRACT The NOAA/NWS National Operational Hydrologic Remote Sensing Center produces maps of the areal extent of snow-cover over the Western US to assess the state of the snowpack. The binary product represents snow-no snow, but cannot estimate the snow-covered extent within an individual pixel (1 km,).For the Colorado River Basin, fractional snow-...

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