Reichle, R. H., Q. Liu, J. V. Ardizzone, M. Bechtold, W. T. Crow, G. De Lannoy, J. S. Kimball, and R. D. Koster:
"Improved Peatland Hydrology and L-Band Microwave Radiative Transfer Modeling in Version 7 of the SMAP Level-4 Soil Moisture Data Assimilation Product"
Presentation at the 103rd AMS Annual Meeting, Denver, CO, USA, 2023.

Abstract:
The NASA Soil Moisture Active Passive (SMAP) mission Level-4 Soil Moisture (L4_SM) product provides global, 9-km resolution, 3-hourly surface (0-5 cm) and root-zone (0-100 cm) soil moisture from April 2015 to present with a mean latency of 2.5 days from the time of observation. The L4_SM estimates are derived from the assimilation of SMAP L-band (1.4 GHz) brightness temperature (Tb) observations into the NASA Catchment land surface model.

The recently released Version 7 of L4_SM comprises two key advances. First, the Catchment model now includes the recently developed PEATCLSM hydrology module for peatlands and uses an updated global map of peatlands. Second, revised parameters are used in the L-band radiative transfer model that converts the simulated soil moisture and temperature estimates into Tb predictions for use in the radiance-based L4_SM analysis. Specifically, the L-band scattering albedo, soil roughness, and vegetation opacity climatology are obtained from the SMAP Level-2 dual-channel soil moisture retrieval product.

In this presentation, we examine the improvements gained with the model and parameter changes. In peatlands, the dynamics of water table depth, surface soil moisture and evapotranspiration are considerably improved in L4_SM Version 7 over Version 6 when evaluated against in situ measurements. These improvements are also manifested in smaller Tb observation-minus-forecast residuals.

Moreover, the time series correlation of L4_SM Version 7 surface and root-zone soil moisture vs. in situ measurements is slightly improved over that of Version 6, owing to the improved annual cycle phasing of the Level-2 derived vegetation opacity parameters used in Version 7. There is no difference, however, in anomaly correlation skill between the Version 6 and 7 soil moisture estimates.

In summary, ongoing refinements of the L4_SM product continue to improve its science quality and performance for global soil moisture monitoring.


Home

NASA-GSFC / GMAO / Rolf Reichle