Overview

SWOT will provide the very first comprehensive view of Earth's freshwater bodies from space and will allow scientists to determine changing volumes of fresh water across the globe at an unprecedented resolution. Hydrologists will use the data to calculate the rate of water gained or lost in lakes, reservoirs, and wetlands as well as discharge variations in rivers, globally. These measurements are key to understanding surface water availability and in preparing for important water-related hazards such as floods and droughts.
Hydrology Objectives
Provide a global inventory of all terrestrial water bodies (lakes, reservoirs, wetlands) whose surface area exceeds 250 m by 250 m (~820 ft by ~820 ft) and rivers whose widths exceed 100 m (~330 ft).

At sub-monthly, seasonal, total cost and annual time scales: Measure the global storage change in freshwater bodies; and Estimate the global change in river discharge.

Assessing Fresh Water Availability

Given our basic need for fresh water, hydrologic observations of time-related (temporal) and geography-related (spatial) variations in water volume stored in rivers, lakes, and wetlands are extremely important. By measuring water storage changes in wetlands, lakes, and reservoirs - making it possible to estimate discharge in rivers more accurately - SWOT will contribute to a fundamental understanding of the terrestrial branch of the global water cycle.

In the article, Four billion people facing severe water scarcity, the authors state, "at the global level and on an annual basis, enough freshwater is available to meet (society's) demand, but spatial and temporal variations of water demand and availability are large, leading to water scarcity in several parts of the world during specific times of the year." By providing essential information on Earth's medium-to-large, land-based water bodies on average twice every 21 days, SWOT will reveal new details on the changing patterns of freshwater availability that affect large populations.

Improving Hydrological Models

On land, most water accessible to humans is stored in lakes, rivers, and soil and groundwater. Water enters these reservoirs through precipitation (rain, snow) and flow from their surrounding watersheds. Water leaves via evaporation, transpiration (evaporation through plant leaves) and river discharge into the ocean. A simplified view of the water cycle shows a balance between water entering the land surface by precipitation and water leaving the land surface by evaporation, transpiration, and runoff.

This type of "balance equation" serves as the basis for computer algorithms used to model hydrological conditions. The most sophisticated computer models include data assimilation, a process that continually compares previous forecasts with newly received measurements (e.g., actual rainfall data) to update and improve the model itself. A challenge for SWOT is developing robust global hydrological models and assessing how assimilation of SWOT data will improve representation of the water cycle.

For example, the current understanding of Earth's water balance on land is poor. This is partly because of a lack of global runoff data needed for accurate computer models. Today's models can simulate very different patterns of runoff, as shown by the two example computer model outputs below. For the areas circled in white, the difference in these models is equivalent to the average rainfall in Los Angeles over an entire year. A key target for SWOT is providing runoff data at sufficiently fine spatial scales to improve the knowledge of water balance on land.

Featured Science Investigations

Algorithm Development for SWOT River Discharge Retrievals
[2017] PI: Eric Wood
The over-arching goal of the project is to develop a set of algorithms and modeling systems to be used by the SWOT mission for the retrieval of river discharge estimates globally.
Developing a Global Assimilation and Modeling Framework to Produce SWOT Data Products
[2017] PI: Kostas Andreadis
Our project aims to develop a modeling and data assimilation framework that can be implemented efficiently for generating a SWOT Level 4 data products consisting of continuous fields of water surface elevation, discharge, and storage change globally.