@inproceedings{0ccf091b84184e2c80d3e26cbbb23d47,
title = "Verification of the SMAP Level-4 Soil Moisture Analysis Using Rainfall Observations in Australia",
abstract = "Global, 3-hourly, 9-km resolution soil moisture estimates are available with a mean latency of ~2.5 days from the NASA Soil Moisture Active Passive (SMAP) mission Level-4 Soil Moisture (L4 SM) product. These estimates are based on the assimilation of SMAP radiometer brightness temperature (Tb) observations into the NASA Catchment land surface model using a spatially distributed ensemble Kalman filter. Routine monitoring of the L4 SM system's assimilation diagnostics revealed occasionally large observation-minus-forecast Tb differences across eastern central Australia that resulted in large analysis increments (or adjustments) of the model forecast soil moisture. Because this region lacks in situ soil moisture measurements, we developed an alternative approach to assess the veracity of the soil moisture analysis increments in the L4 SM system. Using regional gauge-based precipitation data, we demonstrate that the L4 SM soil moisture increments are correlated with errors in the L4 SM precipitation forcing, suggesting that the SMAP Tb observations contribute valuable information to the L4 SM soil moisture estimates.",
keywords = "Australia, SMAP, Soil moisture, data assimilation",
author = "R. Reichle and Q. Liu and Lannoy, {G. De} and W. Crow and L. Jones and J. Kimball and R. Koster",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",
year = "2019",
month = jul,
doi = "10.1109/IGARSS.2019.8898398",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5363--5365",
booktitle = "2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings",
}