The International Satellite Cloud Climatology Project (ISCCP) Web Site An Online Resource for Research

By William B. Rossow, E. Dueñas. 2004

184 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/0c2f7859d98f32639ebd048d09a58ead759d2598

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Atmospheric Science

In Global and Planetary Change

Citations in the corpus

The Norwegian Earth System Model, NorESM1-M – Part 1: Description and basic evaluation of the physical climate (2013, background): “%) between NorESM and the ISCCP D2-retrievals 1983–2001 (Rossow and Schiffer, 1999; Rossow and Duẽnas, 2004).”
Earth's Global Energy Budget (2009, methodology): “Other estimates of radiative and surface f luxes have been derived using satellite data, including those made by the ISCCP (Rossow and Duenas 2004; Zhang et al. 2004) and CERES (Loeb et al.”
Tropical climate described as a distribution of weather states indicated by distinct mesoscale cloud property mixtures (2005, methodology): “To facilitate this, we have put our Cluster Analysis code and the 21.5-yr statistics illustrated here on-line at the ISCCP Web site [Rossow and Duenas, 2004; http://isccp.giss. nasa.gov] and the GCSS-DIME (Global Energy and Water Experiment Cloud System Study – Data Integration for Model…”
Estimation of ECHAM5 climate model closure parameters with adaptive MCMC (2010, background): “…cloud fraction is considered in Figs.7j–l. Compared to the International Satellite Cloud Climatology Project (ISCCP) D2 data (Rossow et al., 1996; Rossow and Duẽnas, 2004), the default run features too much cloudiness at high latitudes, and too little cloudiness at lower latitudes, with…”
Spectropolarimetric signatures of Earth-like extrasolar planets (2007, background): “Such an investigation should also address th region-to-region variations in time averaged cloud coverage and cloud optical thickness, that are found on Earth when cloud variations on time scales less than a month (i.e. weather) are removed (for cloud data, see Rossow & Dueñas 2004).”
Multiscale Convective Organization and the YOTC Virtual Global Field Campaign (2012, background): “Geostationary satellite measurements complement the above mix of low-Earth orbit measurements by providing near-global, visible and infrared imagery that observe convection and clouds on the mesoscale to planetary scales as well as the diurnal cycle (Rossow and Duenas 2004).”