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- Title
Generating Proxy SWOT Water Surface Elevations Using WRF‐Hydro and the CNES SWOT Hydrology Simulator.
- Authors
Elmer, Nicholas J.; Hain, Christopher; Hossain, Faisal; Desroches, Damien; Pottier, Claire
- Abstract
The Surface Water Ocean Topography (SWOT) mission will launch in early 2022 to provide the first global inventory of terrestrial surface water. Although SWOT is primarily a research mission with key science objectives in both the oceanography and hydrology domains, SWOT data are expected to have application potential to address many societal needs. To identify SWOT applications, prepare for the use of SWOT data, and quantify SWOT impacts prior to launch, realistic proxy SWOT observations with representative measurement errors are required. This paper provides a step‐by‐step description of two methods for deriving proxy SWOT water surface elevations (WSEs) from an Observing System Simulation Experiment (OSSE) using the Weather Research and Forecasting hydrological extension package (WRF‐Hydro). The first, a basic method, provides a simple and efficient way to sample WRF‐Hydro output according to the SWOT orbit and add random white noise to simulate measurement error, similar to many previous approaches. An alternate method using the Centre National d'Etudes Spatiales (CNES) Large‐Scale SWOT Hydrology Simulator accounts for additional sources of measurement error and produces output in formats comparable to that expected from official SWOT products. The basic method is ideal for river hydrology applications in which a full representation of SWOT measurement errors and spatial resolution is unnecessary, whereas the CNES simulator approach is better‐suited for more rigorous scientific studies that require a comprehensive error budget. Plain Language Summary: The Surface Water Ocean Topography (SWOT) mission is a multinational satellite mission that is expected to launch in 2022 to observe global rivers, lakes, reservoirs, and wetlands. As the first of its kind to measure inland water, SWOT is expected to address many societal needs. To identify SWOT applications, prepare for the use of SWOT data, and quantify SWOT impacts prior to launch, realistic sample SWOT observations are needed. This paper provides a step‐by‐step description for deriving proxy SWOT measurements using a hydrologic model and a SWOT observation simulator. Key Points: Two approaches for generating proxy SWOT water surface elevations from a hydrology modeling framework are providedProxy SWOT data are well‐suited for societal applications and scientific studies prior to and following launchThe Large‐Scale SWOT Hydrology Simulator provides realistic proxy SWOT data for error budget studies
- Subjects
ALASKA; WATER; HYDROLOGY; OCEAN surface topography; MEASUREMENT errors; PROXY
- Publication
Water Resources Research, 2020, Vol 56, Issue 8, p1
- ISSN
0043-1397
- Publication type
Article
- DOI
10.1029/2020WR027464