scispace - formally typeset
Search or ask a question
Institution

Cooperative Institute for Research in the Atmosphere

About: Cooperative Institute for Research in the Atmosphere is a based out in . It is known for research contribution in the topics: Snow & Data assimilation. The organization has 332 authors who have published 997 publications receiving 38835 citations. The organization is also known as: CIRA.


Papers
More filters
Journal ArticleDOI
TL;DR: In this article, 40 experts in cloud modeling, observations, and data assimilation met to move decisively toward a realization of cloud analysis systems for operational use, reviewing current and recent cloud analysis efforts and evaluating the state of the science, synergies and collaborations in modeling clouds.
Abstract: What: Reviewing current and recent cloud analysis efforts and evaluating the state of the science, synergies, and collaborations in modeling clouds, 40 experts in cloud modeling, observations, and data assimilation met to move decisively toward a realization of cloud analysis systems for operational use. When: 1–3 September 2009 Where: Boulder, Colorado TOWARD A NEW CLOUD ANALYSIS AND PREDICTION SYSTEM

31 citations

Journal ArticleDOI
TL;DR: In this article, four simulations are run with the Regional Atmospheric Modeling System (RAMS 4.30) for a snow event that occurs in a region where tall vegetation protrudes through a shallow layer of snow, since the protruding vegetation will absorb solar radiation and emit upward turbulent heat flux.
Abstract: Snow cover can significantly suppress daytime temperatures by increasing the surface albedo and limiting the surface temperature to 0°C. The strength of this effect is dependent upon how well the snow can cover, or mask, the underlying surface. In regions where tall vegetation protrudes through a shallow layer of snow, the temperature-reducing effects of the snow will be suppressed since the protruding vegetation will absorb solar radiation and emit an upward turbulent heat flux. This means that an atmospheric model must have a reasonable representation of the land cover, as well as be able to correctly calculate snow depth, if an accurate simulation of surface heat fluxes, air temperatures, and boundary layer structure is to be made. If too much vegetation protrudes through the snow, then the surface sensible heat flux will be too large and the air temperatures will be too high. In this study four simulations are run with the Regional Atmospheric Modeling System (RAMS 4.30) for a snow event that...

31 citations

Journal ArticleDOI
TL;DR: This dataset is important for climate and atmospheric model-measurement inter-comparisons, as a means to improve model performance, and may be useful for satellite and remote sensing evaluation using surface-based, in-situ measurements.
Abstract: A reference dataset of multi-wavelength particle light scattering and hemispheric backscattering coefficients for different relative humidities (RH) between RH = 30 and 95% and wavelengths between λ = 450 nm and 700 nm is described in this work. Tandem-humidified nephelometer measurements from 26 ground-based sites around the globe, covering multiple aerosol types, have been re-analysed and harmonized into a single dataset. The dataset includes multi-annual measurements from long-term monitoring sites as well as short-term field campaign data. The result is a unique collection of RH-dependent aerosol light scattering properties, presented as a function of size cut. This dataset is important for climate and atmospheric model-measurement inter-comparisons, as a means to improve model performance, and may be useful for satellite and remote sensing evaluation using surface-based, in-situ measurements. Machine-accessible metadata file describing the reported data (ISA-Tab format)

31 citations

Journal ArticleDOI
TL;DR: The National Wind Erosion Research Network was established in 2014 to develop tools for monitoring and assessing wind erosion and dust emissions across the United States The Network, currently consisting of 13 sites, creates opportunities to enhance existing rangeland soil, vegetation, and air quality monitoring programs as discussed by the authors.

31 citations

Journal ArticleDOI
TL;DR: A review of previous quantitative work, including the pre-launch calibration information, and results of a new calibration effort that compares GOES-8/Imager raw counts of clear ocean scenes to theoretical satellite-detected radiance values from a radiative transfer model is presented in this article.
Abstract: The GOES-8/Imager has provided scientifically valuable imagery since its launch in April of 1994. However, without an onboard calibration source most research applications involving its data have been limited to qualitative analysis of the imagery. Presented herein is a review of previous quantitative work, including the prelaunch calibration information, and results of a new calibration effort that compares GOES-8/Imager raw counts of clear ocean scenes to theoretical satellite-detected radiance values from a radiative transfer model. Monthly averages of the calibration coefficient are presented at 6-month intervals from August 1995 through August 1999. Although the technique differs from previous calibration efforts, which compare Geostationary Operational Environmental Satellite observations to some reference instrument, the new calibration results agree well with previous results. The calibration suggests a one-time decrease of 7.6% shortly after launch, and an ongoing annual degradation of 5...

31 citations


Authors

Showing all 332 results

Network Information
Related Institutions (5)
Geophysical Fluid Dynamics Laboratory
2.4K papers, 264.5K citations

90% related

National Center for Atmospheric Research
19.7K papers, 1.4M citations

90% related

Cooperative Institute for Research in Environmental Sciences
6.2K papers, 426.7K citations

89% related

Met Office
8.5K papers, 463.7K citations

88% related

National Oceanic and Atmospheric Administration
30.1K papers, 1.5M citations

88% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20221
202173
202095
201968
201846
201785