ARM data are used to evaluate the utility of satellite derived land-atmosphere coupling metrics that can provide information on drought monitoring.
In the absence of strong advective influences, land-atmosphere (LA) coupling drives the diurnal cycle of clouds and precipitation that can greatly impact the water cycle. Satellite data offer the ability to obtain values of some of the variables important for land-atmosphere coupling globally and routinely, but the utility of these derived data need to be assessed. This study assesses the utility and uncertainty of data from the Aqua satellite for application to a coupling drought index (CDI) by comparing them with in situ observations from the ARM Southern Great Plains (SGP) site and reanalysis datasets.
Overall, this work demonstrates that there is sufficient information in the simultaneous measurements of the land and atmosphere from satellite remote sensing to provide useful information to the applications of drought monitoring and coupling metrics that can be used to evaluate global climate models. Additionally, the ARM and satellite remote sensing CDI provides a unique combination of observations that allows for an evaluation of model data at local and large scales that could be exploited in future studies.
Feedbacks between the land and the atmosphere can play an important role in the water cycle, and a number of studies have quantified land-atmosphere (LA) interactions and feedbacks through observations and prediction models. Because of the complex nature of LA interactions, the observed variables are not always available at the needed temporal and spatial scales. This work derives the Coupling Drought Index (CDI) solely from satellite data and evaluates the input variables and the resultant CDI against in situ data from the ARM Southern Great Plains site and reanalysis products. NASA’s Aqua satellite and retrievals of soil moisture and lower-tropospheric temperature and humidity properties are used as input. Overall, the Aqua-based CDI and its inputs perform well at a point, spatially, and in time (trends) compared to in situ and reanalysis products. In addition, this work represents the first time that in situ observations were utilized for the coupling classification and CDI. The combination of in situ and satellite remote sensing CDI is unique and provides an observational tool for evaluating models at local and large scales. Overall, results indicate that there is sufficient information in the signal from simultaneous measurements of the land and atmosphere from satellite remote sensing to provide useful information for applications of drought monitoring and coupling metrics.
Contacts (BER PM)
ARM Program Manager
NASA Goddard Space Flight Center
This research was partially supported by an appointment to the NASA Postdoctoral Program at the Goddard Space Flight Center, administered by Oak Ridge Associated Universities. Data were obtained from the Atmospheric Radiation Measurement (ARM) Program sponsored by the U.S. Department of Energy.
Roundy J. and J. Santanello. "Utility of Satellite Remote Sensing for Land-Atmosphere Coupling and Drought Metrics." Journal of Hydrometeorology, 18(3) (2017). [DOI:10.1175/JHM-D-16-0171.1]
SC-33.1 Earth and Environmental Sciences Division, BER
BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER
Mar 23, 2021
Molecular Connections from Plants to Fungi to Ants
Lipids transfer energy and serve as an inter-kingdom communication tool in leaf-cutter ants&rsqu [more...]
Mar 19, 2021
Microbes Use Ancient Metabolism to Cycle Phosphorus
Microbial cycling of phosphorus through reduction-oxidation reactions is older and more widespre [more...]
Feb 22, 2021
Warming Soil Means Stronger Microbe Networks
Soil warming leads to more complex, larger, and more connected networks of microbes in those soi [more...]
Jan 27, 2021
Labeling the Thale Cress Metabolites
New data pipeline identifies metabolites following heavy isotope labeling.
Aug 31, 2020
Novel Bacterial Clade Reveals Origin of Form I Rubisco
List all highlights (possible long download time)