DETECTION OF RAIN-ON-SNOW EVENTS AND ITS IMPACT ON PASSIVE MICROWAVE-BASED SNOW WATER EQUIVALENT RETRIEVAL

Simple item page
dc.contributor.advisorForman, Barton Aen_US
dc.contributor.authorRyan, Elizabeth Meghanen_US
dc.contributor.departmentCivil Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2018-07-17T06:30:23Z
dc.date.available2018-07-17T06:30:23Z
dc.date.issued2018en_US
dc.description.abstractRain-on-snow (ROS) events can impact snow stratigraphy via generation of wet snow and ice crust(s) within the snowpack. Considering the assumptions of most passive microwave-based snow water equivalent (SWE) retrievals, which include a dry and homogenous snowpack, ROS events could significantly impact SWE retrieval accuracy. This study explored the feasibility of various approaches to detect ROS events using multiple data types (i.e., satellite observations, model output, and in-situ measurements). Agreement in ROS events detected varied among the different data types. Only ~10% of suspected ROS events were flagged using the satellite-based algorithm. Alternatively, ~50% of suspected ROS events were flagged using the model-based algorithm, whereas ~40% of suspected ROS events were flagged using the in-situ measurements-based algorithm. Findings were unable to speak to the impact of ROS events on SWE retrieval accuracy due to the lack of in-situ SWE measurements; however, a slight pattern in local fluctuations was observed.en_US
dc.identifierhttps://doi.org/10.13016/M2028PH1V
dc.identifier.urihttp://hdl.handle.net/1903/21059
dc.language.isoenen_US
dc.subject.pqcontrolledRemote sensingen_US
dc.subject.pquncontrolledAMSR-Een_US
dc.subject.pquncontrolledDetectionen_US
dc.subject.pquncontrolledRain-on-snowen_US
dc.subject.pquncontrolledRetrievalen_US
dc.subject.pquncontrolledSnow water equivalenten_US
dc.titleDETECTION OF RAIN-ON-SNOW EVENTS AND ITS IMPACT ON PASSIVE MICROWAVE-BASED SNOW WATER EQUIVALENT RETRIEVALen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Ryan_umd_0117N_19071.pdf
Size:
12.04 MB
Format:
Adobe Portable Document Format
Download

Collections

UMD Theses and Dissertations
Civil & Environmental Engineering Theses and Dissertations