Deducing land–atmosphere coupling  regimes from SMAP soil moisture

Makhasana, Payal R.; Santanello, Joseph A.; Lawston-Parker, Patricia M.; Roundy, Joshua K.

doi:https://doi.org/10.5194/hess-28-5087-2024

Articles | Volume 28, issue 22

https://doi.org/10.5194/hess-28-5087-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-28-5087-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 28, issue 22

Research article

|

27 Nov 2024

Research article |

| 27 Nov 2024

Deducing land–atmosphere coupling regimes from SMAP soil moisture

Payal R. Makhasana, Joseph A. Santanello, Patricia M. Lawston-Parker, and Joshua K. Roundy

Supplement

https://doi.org/10.5194/hess-28-5087-2024-supplement

Data sets

Triple Collocation based Merged Dataset for Convective Triggering Potential (CTP) and Humidity Index (HI) P. Makhasana et al. https://doi.org/10.4211/hs.90bf9b575b684c849e617f620c2d63fb

SMAP L3 Radar/Radiometer Global Daily 9km EASE-Grid Soil Moisture, Version 3 [Surface Soil Moisture] D. Entekhabi et al. https://doi.org/10.5067/7KKNQ5UURM2W

SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data, Version 6 R. Reichle et al. https://doi.org/10.5067/08S1A6811J0U

Integrated Global Radiosonde Archive (IGRA), Version 2 I. Durre et al. https://doi.org/10.7289/V5X63K0Q

inst3_3d_asm_Cp: MERRA-2 3D IAU State, Meteorology Instantaneous 3-hourly (p-coord, 0.625x0.5L42), version 5.12.4 GMAO https://doi.org/10.5067/VJAFPLI1CSIV

NCEP Climate Forecast System Version 2 (CFSv2) 6-hourly Products. Research Data Archive at the National Center for Atmospheric Research S. Saha et al. https://doi.org/10.5065/D61C1TXF

ERA5 hourly data on pressure levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.bd0915c6

AIRS/Aqua L3 Daily Standard Physical Retrieval (AIRS-only) 1 degree x 1 degree V7 AIRS Project https://doi.org/10.5067/UO3Q64CTTS1U

Short summary

This study examines how soil moisture impacts land–atmosphere interactions, crucial for understanding Earth's water and energy cycles. The study used two different soil moisture datasets from the SMAP satellite to measure how strongly soil moisture influences the atmosphere's ability to retain moisture (called coupling strength). Leveraging SMAP soil moisture data and integrating multiple atmospheric datasets, the study offers new insights into the dynamics of land–atmosphere coupling strength.