Integration of Earth observation and in situ data for analyzing lake level change in Minnesota (1990-2016)

Authors: Yanan Wu*, Binghamton University
Topics: Climatology and Meteorology, Environment, Global Change
Keywords: water level, weather station, climate change, water storage
Session Type: Poster
Day: 4/4/2019
Start / End Time: 8:00 AM / 9:40 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded

Lake ecosystems are crucial resources for aquatic wildlife and human being. Detecting lake-level dynamics and investigating the effects of climatic variables are critical for monitoring water resources and related ecosystem services. This study examined fluctuations in the lake level of 669 lakes in Minnesota by using Earth observation data and in-situ lake level data from 1990 to 2016. A cluster analysis method was applied to categorize different temporal evolution patterns of lake level, and the relationship between lake-level variations of different clusters and climatic variables were further analyzed. The climatic variables were analyzed for detecting temporal trends and abrupt changes using the Mann-Kendall test. Variables examined were monthly precipitation, annual precipitation, monthly temperature, and annual temperature. The results showed that lake-level variations were featured by spatial-temporal heterogeneity. Lakes in Cluster 1 experienced water-level decreases (~1.8 m on average) during 1999 and 2000, which were attributed to low precipitation and high temperature during this period. Time series of GRACE-observed terrestrial water storage confirmed that the lake-level changes were associated with hydro-climatological conditions. Besides, discussing the possible primary causes of lake level variations.

Abstract Information

This abstract is already part of a session. View the session here.

To access contact information login