2014/09/30 by Ardeshir M. Ebtehaj, Ardeshir Mohammad Ebtehaj, Efi Foufoula-Georgiou +4
Earth and Planetary Sciences · Environmental Science · Physics and Astronomy · #Atmospheric Infrared Sounder #Atmospheric pressure #Climate variability and models #Data assimilation #Depth sounding #Geopotential #Geopotential height #Meteorological Phenomena and Simulations #Soil Moisture and Remote Sensing #Wavelet #Wavelet transform #physics.data-an
paper · pdf · doi:10.1002/2014gl062711
published as Geophys. Res. Lett. (2015), 42, 362--369 · 12 pages, 8 figures, 1 table
arxiv created 2014/12/30 · openalex publication_date 2015/01/06 · arxiv updated 2015/03/19 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05
Abstract We demonstrate that the global fields of temperature, humidity, and geopotential heights admit a nearly sparse representation in the wavelet domain, offering a viable path forward to explore new paradigms of sparsity‐promoting data assimilation and compressive recovery of land surface‐atmospheric states from space. We illustrate this idea using retrieval products of the Atmospheric Infrared Sounder (AIRS) and Advanced Microwave Sounding Unit (AMSU) on board the Aqua satellite. The results reveal that the sparsity of the fields of temperature is relatively pressure independent, while atmospheric humidity and geopotential heights are typically sparser at lower and higher pressure levels, respectively. We provide evidence that these land‐atmospheric states can be accurately estimated using a small set of measurements by taking advantage of their sparsity prior.