Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Pangaluru, Kishore, Velicogna, Isabella, A, Geruo, Mohajerani, Yara, Cirac\`ı, Enrico, Charakola, Sravani, Basha, Ghouse, and Rao, S. Vijaya Bhaskara, 2019. Soil Moisture Variability in India: Relationship of Land Surface-Atmosphere Fields Using Maximum Covariance Analysis. Remote Sensing, 11(3):335, doi:10.3390/rs11030335.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2019RemS...11..335P,
author = {{Pangaluru}, Kishore and {Velicogna}, Isabella and {A}, Geruo and {Mohajerani}, Yara and {Cirac{\`\i}}, Enrico and {Charakola}, Sravani and {Basha}, Ghouse and {Rao}, S. Vijaya Bhaskara},
title = "{Soil Moisture Variability in India: Relationship of Land Surface-Atmosphere Fields Using Maximum Covariance Analysis}",
journal = {Remote Sensing},
keywords = {soil moisture, precipitation, temperature, total cloud cover, GRACE, total water storage, MCA analysis},
year = 2019,
month = feb,
volume = {11},
number = {3},
eid = {335},
pages = {335},
abstract = "{This study investigates the spatial and temporal variability of the soil
moisture in India using Advanced Microwave Scanning Radiometer-
Earth Observing System (AMSR-E) gridded datasets from June 2002
to April 2017. Significant relationships between soil moisture
and different land surface-atmosphere fields (Precipitation,
surface air temperature, total cloud cover, and total water
storage) were studied, using maximum covariance analysis (MCA)
to extract dominant interactions that maximize the covariance
between two fields. The first leading mode of MCA explained
56\%, 87\%, 81\%, and 79\% of the squared covariance function
(SCF) between soil moisture with precipitation (PR), surface air
temperature (TEM), total cloud count (TCC), and total water
storage (TWS), respectively, with correlation coefficients of
0.65, -0.72, 0.71, and 0.62. Furthermore, the covariance
analysis of total water storage showed contrasting patterns with
soil moisture, especially over northwest, northeast, and west
coast regions. In addition, the spatial distribution of seasonal
and annual trends of soil moisture in India was estimated using
a robust regression technique for the very first time. For most
regions in India, significant positive trends were noticed in
all seasons. Meanwhile, a small negative trend was observed over
southern India. The monthly mean value of AMSR soil moisture
trend revealed a significant positive trend, at about 0.0158
cm$^{3}$/cm$^{3}$ per decade during the period ranging from 2002
to 2017.}",
doi = {10.3390/rs11030335},
adsurl = {https://ui.adsabs.harvard.edu/abs/2019RemS...11..335P},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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