R. Scott Dunbar

TL;DR: The overall accuracies of vector wind measurements from the NASA scatterometer (NSCAT) are quantified by comparisons with collocated data from operational US National Data Buoy Center ocean buoys.

TL;DR: In this paper, a high-resolution active-passive soil moisture product was generated by using the C-band SAR data of the SMAP-Sentinel 1A/Sentinel-1B data set.

TL;DR: A reprocessing of the entire SeaWinds on QuikSCAT mission is introduced to create a climate data record suitable for climate studies and to incorporate recent algorithm improvements.

TL;DR: The NASA Soil Moisture Active Passive (SMAP) mission was launched on January 31st, 2015 and was able to collect and process ~2.5 months of the SMAP high-resolution active-passive soil moisture data, which coincided with the Northern Hemisphere vegetation green-up and crop growth season as discussed by the authors.

TL;DR: A modified DCA (MDCA) can achieve improved accuracy over DCA; it also allows for the retrieval of vegetation optical depth (VOD) and the retrieval performance of MDCA is assessed and compared with SCA-V and DCA using four years of core validation sites (CVSs and sparse networks.