Search Results

You are looking at 1 - 2 of 2 items for :

  • Optical properties x
  • The 1st NOAA Workshop on Leveraging AI in the Exploitation of Satellite Earth Observations & Numerical Weather Prediction x
  • All content x
Clear All
Kyle A. Hilburn, Imme Ebert-Uphoff, and Steven D. Miller

: ABI algorithm theoretical basis Document for Daytime Cloud Optical and Microphysical Properties (DCOMP). NOAA/NESDIS/STAR Algorithm Theoretical Basis Doc., 61 pp., https://www.goes-r.gov/products/ATBDs/baseline/Cloud_DCOMP_v2.0_no_color.pdf . Wilks , D. S. , 2006 : Statistical Methods in the Atmospheric Sciences . 2nd ed. Academic Press, 627 pp. Williams , E. , V. Mushtak , D. Rosenfeld , S. Goodman , and D. Boccippio , 2005 : Thermodynamic conditions favorable to superlative

Open access
Sid-Ahmed Boukabara, Vladimir Krasnopolsky, Jebb Q. Stewart, Eric S. Maddy, Narges Shahroudi, and Ross N. Hoffman

.noaa.gov/big-data-project ). The latency requirement is particularly extreme for short-term forecasting of hazardous weather. Yet, improvements in NWP are driven by computationally intensive advances in all aforementioned areas. Examples of specific improvements for global medium-range NWP will include: enhanced assimilation of satellite measurements, including radiances affected by clouds, precipitation, and surface properties [requiring more complete radiative transfer (RT) models accounting for these effects], and using

Free access